File size: 261,459 Bytes
95d3d4d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
1834
1835
1836
1837
1838
1839
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
1850
1851
1852
1853
1854
1855
1856
1857
1858
1859
1860
1861
1862
1863
1864
1865
1866
1867
1868
1869
1870
1871
1872
1873
1874
1875
1876
1877
1878
1879
1880
1881
1882
1883
1884
1885
1886
1887
1888
1889
1890
1891
1892
1893
1894
1895
1896
1897
1898
1899
1900
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
1920
1921
1922
1923
1924
1925
1926
1927
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
2056
2057
2058
2059
2060
2061
2062
2063
2064
2065
2066
2067
2068
2069
2070
2071
2072
2073
2074
2075
2076
2077
2078
2079
2080
2081
2082
2083
2084
2085
2086
2087
2088
2089
2090
2091
2092
2093
2094
2095
2096
2097
2098
2099
2100
2101
2102
2103
2104
2105
2106
2107
2108
2109
2110
2111
2112
2113
2114
2115
2116
2117
2118
2119
2120
2121
2122
2123
2124
2125
2126
2127
2128
2129
2130
2131
2132
2133
2134
2135
2136
2137
2138
2139
2140
2141
2142
2143
2144
2145
2146
2147
2148
2149
2150
2151
2152
2153
2154
2155
2156
2157
2158
2159
2160
2161
2162
2163
2164
2165
2166
2167
2168
2169
2170
2171
2172
2173
2174
2175
2176
2177
2178
2179
2180
2181
2182
2183
2184
2185
2186
2187
2188
2189
2190
2191
2192
2193
2194
2195
2196
2197
2198
2199
2200
2201
2202
2203
2204
2205
2206
2207
2208
2209
2210
2211
2212
2213
2214
2215
2216
2217
2218
2219
2220
2221
2222
2223
2224
2225
2226
2227
2228
2229
2230
2231
2232
2233
2234
2235
2236
2237
2238
2239
2240
2241
2242
2243
2244
2245
2246
2247
2248
2249
2250
2251
2252
2253
2254
2255
2256
2257
2258
2259
2260
2261
2262
2263
2264
2265
2266
2267
2268
2269
2270
2271
2272
2273
2274
2275
2276
2277
2278
2279
2280
2281
2282
2283
2284
2285
2286
2287
2288
2289
2290
2291
2292
2293
2294
2295
2296
2297
2298
2299
2300
2301
2302
2303
2304
2305
2306
2307
2308
2309
2310
2311
2312
2313
2314
2315
2316
2317
2318
2319
2320
2321
2322
2323
2324
2325
2326
2327
2328
2329
2330
2331
2332
2333
2334
2335
2336
2337
2338
2339
2340
2341
2342
2343
2344
2345
2346
2347
2348
2349
2350
2351
2352
2353
2354
2355
2356
2357
2358
2359
2360
2361
2362
2363
2364
2365
2366
2367
2368
2369
2370
2371
2372
2373
2374
2375
2376
2377
2378
2379
2380
2381
2382
2383
2384
2385
2386
2387
2388
2389
2390
2391
2392
2393
2394
2395
2396
2397
2398
2399
2400
2401
2402
2403
2404
2405
2406
2407
2408
2409
2410
2411
2412
2413
2414
2415
2416
2417
2418
2419
2420
2421
2422
2423
2424
2425
2426
2427
2428
2429
2430
2431
2432
2433
2434
2435
2436
2437
2438
2439
2440
2441
2442
2443
2444
2445
2446
2447
2448
2449
2450
2451
2452
2453
2454
2455
2456
2457
2458
2459
2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
2474
2475
2476
2477
2478
2479
2480
2481
2482
2483
2484
2485
2486
2487
2488
2489
2490
2491
2492
2493
2494
2495
2496
2497
2498
2499
2500
2501
2502
2503
2504
2505
2506
2507
2508
2509
2510
2511
2512
2513
2514
2515
2516
2517
2518
2519
2520
2521
2522
2523
2524
2525
2526
2527
2528
2529
2530
2531
2532
2533
2534
2535
2536
2537
2538
2539
2540
2541
2542
2543
2544
2545
2546
2547
2548
2549
2550
2551
2552
2553
2554
2555
2556
2557
2558
2559
2560
2561
2562
2563
2564
2565
2566
2567
2568
2569
2570
2571
2572
2573
2574
2575
2576
2577
2578
2579
2580
2581
2582
2583
2584
2585
2586
2587
2588
2589
2590
2591
2592
2593
2594
2595
2596
2597
2598
2599
2600
2601
2602
2603
2604
2605
2606
2607
2608
2609
2610
2611
2612
2613
2614
2615
2616
2617
2618
2619
2620
2621
2622
2623
2624
2625
2626
2627
2628
2629
2630
2631
2632
2633
2634
2635
2636
2637
2638
2639
2640
2641
2642
2643
2644
2645
2646
2647
2648
2649
2650
2651
2652
2653
2654
2655
2656
2657
2658
2659
2660
2661
2662
2663
2664
2665
2666
2667
2668
2669
2670
2671
2672
2673
2674
2675
2676
2677
2678
2679
2680
2681
2682
2683
2684
2685
2686
2687
2688
2689
2690
2691
2692
2693
2694
2695
2696
2697
2698
2699
2700
2701
2702
2703
2704
2705
2706
2707
2708
2709
2710
2711
2712
2713
2714
2715
2716
2717
2718
2719
2720
2721
2722
2723
2724
2725
2726
2727
2728
2729
2730
2731
2732
2733
2734
2735
2736
2737
2738
2739
2740
2741
2742
2743
2744
2745
2746
2747
2748
2749
2750
2751
2752
2753
2754
2755
2756
2757
2758
2759
2760
2761
2762
2763
2764
2765
2766
2767
2768
2769
2770
2771
2772
2773
2774
2775
2776
2777
2778
2779
2780
2781
2782
2783
2784
2785
2786
2787
2788
2789
2790
2791
2792
2793
2794
2795
2796
2797
2798
2799
2800
2801
2802
2803
2804
2805
2806
2807
2808
2809
2810
2811
2812
2813
2814
2815
2816
2817
2818
2819
2820
2821
2822
2823
2824
2825
2826
2827
2828
2829
2830
2831
2832
2833
2834
2835
2836
2837
2838
2839
2840
2841
2842
2843
2844
2845
2846
2847
2848
2849
2850
2851
2852
2853
2854
2855
2856
2857
2858
2859
2860
2861
2862
2863
2864
2865
2866
2867
2868
2869
2870
2871
2872
2873
2874
2875
2876
2877
2878
2879
2880
2881
2882
2883
2884
2885
2886
2887
2888
2889
2890
2891
2892
2893
2894
2895
2896
2897
2898
2899
2900
2901
2902
2903
2904
2905
2906
2907
2908
2909
2910
2911
2912
2913
2914
2915
2916
2917
2918
2919
2920
2921
2922
2923
2924
2925
2926
2927
2928
2929
2930
2931
2932
2933
2934
2935
2936
2937
2938
2939
2940
2941
2942
2943
2944
2945
2946
2947
2948
2949
2950
2951
2952
2953
2954
2955
2956
2957
2958
2959
2960
2961
2962
2963
2964
2965
2966
2967
2968
2969
2970
2971
2972
2973
2974
2975
2976
2977
2978
2979
2980
2981
2982
2983
2984
2985
2986
2987
2988
2989
2990
2991
2992
2993
2994
2995
2996
2997
2998
2999
3000
3001
3002
3003
3004
3005
3006
3007
3008
3009
3010
3011
3012
3013
3014
3015
3016
3017
3018
3019
3020
3021
3022
3023
3024
3025
3026
3027
3028
3029
3030
3031
3032
3033
3034
3035
3036
3037
3038
3039
3040
3041
3042
3043
3044
3045
3046
3047
3048
3049
3050
3051
3052
3053
3054
3055
3056
3057
3058
3059
3060
3061
3062
3063
3064
3065
3066
3067
3068
3069
3070
3071
3072
3073
3074
3075
3076
3077
3078
3079
3080
3081
3082
3083
3084
3085
3086
3087
3088
3089
3090
3091
3092
3093
3094
3095
3096
3097
3098
3099
3100
3101
3102
3103
3104
3105
3106
3107
3108
3109
3110
3111
3112
3113
3114
3115
3116
3117
3118
3119
3120
3121
3122
3123
3124
3125
3126
3127
3128
3129
3130
3131
3132
3133
3134
3135
3136
3137
3138
3139
3140
3141
3142
3143
3144
3145
3146
3147
3148
3149
3150
3151
3152
3153
3154
3155
3156
3157
3158
3159
3160
3161
3162
3163
3164
3165
3166
3167
3168
3169
3170
3171
3172
3173
3174
3175
3176
3177
3178
3179
3180
3181
3182
3183
3184
3185
3186
3187
3188
3189
3190
3191
3192
3193
3194
3195
3196
3197
3198
3199
3200
3201
3202
3203
3204
3205
3206
3207
3208
3209
3210
3211
3212
3213
3214
3215
3216
3217
3218
3219
3220
3221
3222
3223
3224
3225
3226
3227
3228
3229
3230
3231
3232
3233
3234
3235
3236
3237
3238
3239
3240
3241
3242
3243
3244
3245
3246
3247
3248
3249
3250
3251
3252
3253
3254
3255
3256
3257
3258
3259
3260
3261
3262
3263
3264
3265
3266
3267
3268
3269
3270
3271
3272
3273
3274
3275
3276
3277
3278
3279
3280
3281
3282
3283
3284
3285
3286
3287
3288
3289
3290
3291
3292
3293
3294
3295
3296
3297
3298
3299
3300
3301
3302
3303
3304
3305
3306
3307
3308
3309
3310
3311
3312
3313
3314
3315
3316
3317
3318
3319
3320
3321
3322
3323
3324
3325
3326
3327
3328
3329
3330
3331
3332
3333
3334
3335
3336
3337
3338
3339
3340
3341
3342
3343
3344
3345
3346
3347
3348
3349
3350
3351
3352
3353
3354
3355
3356
3357
3358
3359
3360
3361
3362
3363
3364
3365
3366
3367
3368
3369
3370
3371
3372
3373
3374
3375
3376
3377
3378
3379
3380
3381
3382
3383
3384
3385
3386
3387
3388
3389
3390
3391
3392
3393
3394
3395
3396
3397
3398
3399
3400
3401
3402
3403
3404
3405
3406
3407
3408
3409
3410
3411
3412
3413
3414
3415
3416
3417
3418
3419
3420
3421
3422
3423
3424
3425
3426
3427
3428
3429
3430
3431
3432
3433
3434
3435
3436
3437
3438
3439
3440
3441
3442
3443
3444
3445
3446
3447
3448
3449
3450
3451
3452
3453
3454
3455
3456
3457
3458
3459
3460
3461
3462
3463
3464
3465
3466
3467
3468
3469
3470
3471
3472
3473
3474
3475
3476
3477
3478
3479
3480
3481
3482
3483
3484
3485
3486
3487
3488
3489
3490
3491
3492
3493
3494
3495
3496
3497
3498
3499
3500
3501
3502
3503
3504
3505
3506
3507
3508
3509
3510
3511
3512
3513
3514
3515
3516
3517
3518
3519
3520
3521
3522
3523
3524
3525
3526
3527
3528
3529
3530
3531
3532
3533
3534
3535
3536
3537
3538
3539
3540
3541
3542
3543
3544
3545
3546
3547
3548
3549
3550
3551
3552
3553
3554
3555
3556
3557
3558
3559
3560
3561
3562
3563
3564
3565
3566
3567
3568
3569
3570
3571
3572
3573
3574
3575
3576
3577
3578
3579
3580
3581
3582
3583
3584
3585
3586
3587
3588
3589
3590
3591
3592
3593
3594
3595
3596
3597
3598
3599
3600
3601
3602
3603
3604
3605
3606
3607
3608
3609
3610
3611
3612
3613
3614
3615
3616
3617
3618
3619
3620
3621
3622
3623
3624
3625
3626
3627
3628
3629
3630
3631
3632
3633
3634
3635
3636
3637
3638
3639
3640
3641
3642
3643
3644
3645
3646
3647
3648
3649
3650
3651
3652
3653
3654
3655
3656
3657
3658
3659
3660
3661
3662
3663
3664
3665
3666
3667
3668
3669
3670
3671
3672
3673
3674
3675
3676
3677
3678
3679
3680
3681
3682
3683
3684
3685
3686
3687
3688
3689
3690
3691
3692
3693
3694
3695
3696
3697
3698
3699
3700
3701
3702
3703
3704
3705
3706
3707
3708
3709
3710
3711
3712
3713
3714
3715
3716
3717
3718
3719
3720
3721
3722
3723
3724
3725
3726
3727
3728
3729
3730
3731
3732
3733
3734
3735
3736
3737
3738
3739
3740
3741
3742
3743
3744
3745
3746
3747
3748
3749
3750
3751
3752
3753
3754
3755
3756
3757
3758
3759
3760
3761
3762
3763
3764
3765
3766
3767
3768
3769
3770
3771
3772
3773
3774
3775
3776
3777
3778
3779
3780
3781
3782
3783
3784
3785
3786
3787
3788
3789
3790
3791
3792
3793
3794
3795
3796
3797
3798
3799
3800
3801
3802
3803
3804
3805
3806
3807
3808
3809
3810
3811
3812
3813
3814
3815
3816
3817
3818
3819
3820
3821
3822
3823
3824
3825
3826
3827
3828
3829
3830
3831
3832
3833
3834
3835
3836
3837
3838
3839
3840
3841
3842
3843
3844
3845
3846
3847
3848
3849
3850
3851
3852
3853
3854
3855
3856
3857
3858
3859
3860
3861
3862
3863
3864
3865
3866
3867
3868
3869
3870
3871
3872
3873
3874
3875
3876
3877
3878
3879
3880
3881
3882
3883
3884
3885
3886
3887
3888
3889
3890
3891
3892
3893
3894
3895
3896
3897
3898
3899
3900
3901
3902
3903
3904
3905
3906
3907
3908
3909
3910
3911
3912
3913
3914
3915
3916
3917
3918
3919
3920
3921
3922
3923
3924
3925
3926
3927
3928
3929
3930
3931
3932
3933
3934
3935
3936
3937
3938
3939
3940
3941
3942
3943
3944
3945
3946
3947
3948
3949
3950
3951
3952
3953
3954
3955
3956
3957
3958
3959
3960
3961
3962
3963
3964
3965
3966
3967
3968
3969
3970
3971
3972
3973
3974
3975
3976
3977
3978
3979
3980
3981
3982
3983
3984
3985
3986
3987
3988
3989
3990
3991
3992
3993
3994
3995
3996
3997
3998
3999
4000
4001
4002
4003
4004
4005
4006
4007
4008
4009
4010
4011
4012
4013
4014
4015
4016
4017
4018
4019
4020
4021
4022
4023
4024
4025
4026
4027
4028
4029
4030
4031
4032
4033
4034
4035
4036
4037
4038
4039
4040
4041
4042
4043
4044
4045
4046
4047
4048
4049
4050
4051
4052
4053
4054
4055
4056
4057
4058
4059
4060
4061
4062
4063
4064
4065
4066
4067
4068
4069
4070
4071
4072
4073
4074
4075
4076
4077
4078
4079
4080
4081
4082
4083
4084
4085
4086
4087
4088
4089
4090
4091
4092
4093
4094
4095
4096
4097
4098
4099
4100
4101
4102
4103
4104
4105
4106
4107
4108
4109
4110
4111
4112
4113
4114
4115
4116
4117
4118
4119
4120
4121
4122
4123
4124
4125
4126
4127
4128
4129
4130
4131
4132
4133
4134
4135
4136
4137
4138
4139
4140
4141
4142
4143
4144
4145
4146
4147
4148
4149
4150
4151
4152
4153
4154
4155
4156
4157
4158
4159
4160
4161
4162
4163
4164
4165
4166
4167
4168
4169
4170
4171
4172
4173
4174
4175
4176
4177
4178
4179
4180
4181
4182
4183
4184
4185
4186
4187
4188
4189
4190
4191
4192
4193
4194
4195
4196
4197
4198
4199
4200
4201
4202
4203
4204
4205
4206
4207
4208
4209
4210
4211
4212
4213
4214
4215
4216
4217
4218
4219
4220
4221
4222
4223
4224
4225
4226
4227
4228
4229
4230
4231
4232
4233
4234
4235
4236
4237
4238
4239
4240
4241
4242
4243
4244
4245
4246
4247
4248
4249
4250
4251
4252
4253
4254
4255
4256
4257
4258
4259
4260
4261
4262
4263
4264
4265
4266
4267
4268
4269
4270
4271
4272
4273
4274
4275
4276
4277
4278
4279
4280
4281
4282
4283
4284
4285
4286
4287
4288
4289
4290
4291
4292
4293
4294
4295
4296
4297
4298
4299
4300
4301
4302
4303
4304
4305
4306
4307
4308
4309
4310
4311
4312
4313
4314
4315
4316
4317
4318
4319
4320
4321
4322
4323
4324
4325
4326
4327
4328
4329
4330
4331
4332
4333
4334
4335
4336
4337
4338
4339
4340
4341
4342
4343
4344
4345
4346
4347
4348
4349
4350
4351
4352
4353
4354
4355
4356
4357
4358
4359
4360
4361
4362
4363
4364
4365
4366
4367
4368
4369
4370
4371
4372
4373
4374
4375
4376
4377
4378
4379
4380
4381
4382
4383
4384
4385
4386
4387
4388
4389
4390
4391
4392
4393
4394
4395
4396
4397
4398
4399
4400
4401
4402
4403
4404
4405
4406
4407
4408
4409
4410
4411
4412
4413
4414
4415
4416
4417
4418
4419
4420
4421
4422
4423
4424
4425
4426
4427
4428
4429
4430
4431
4432
4433
4434
4435
4436
4437
4438
4439
4440
4441
4442
4443
4444
[
    {
        "prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '55447:55474:1'} The data starts from December 13 18:00 and ends on December 20 06:00. Based on the above data, answer the following question:",
        "question": "In the 24 hours after the end of the given time window, when will Spain experience its lowest Surface temperature? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Spain will experience its lowest Surface temperature of 276.1 K 18 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 18,
            "location": "Spain",
            "extremum_value": "276.08728",
            "target_variable": "2m_temperature",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "cd84cd86eaef5724",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "55447:55474:1"
        }
    },
    {
        "prompt": "The following data shows a snapshot of the global weather fields. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '40363:40364:1'} The data corresponds to corresponds to a snapshot on August 17 18:00. Based on the above data, answer the following question:",
        "question": "In the 48 hours after the end of the given time window, when will Beaufort Sea experience its lowest 10-meter V component of wind? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Beaufort Sea will experience its lowest 10-meter V component of wind of -5.272 m/s 12 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 12,
            "location": "Beaufort Sea",
            "extremum_value": "-5.2716603",
            "target_variable": "10m_v_component_of_wind",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "60d3d3fe0a0cf1ce",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "40363:40364:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 138 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '66225:66248:1'} The data starts from April 30 06:00 and ends on May 05 18:00. Based on the above data, answer the following question:",
        "question": "Based on the provided meteorological data, where is the Blizzard/Winter Storm currently happening? Specify the affected countries or regions, or respond 'No Blizzard/Winter Storm detected.'",
        "response": "No Blizzard/Winter Storm detected in the provided data.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "a7d6Lm",
            "true_value": [],
            "target_disaster": "Blizzard/Winter Storm",
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "d624477172945690",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "66225:66248:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '83759:83786:1'} The data starts from April 30 18:00 and ends on May 07 06:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) Surface temperature differs from the daily climatology for day 121 mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below Surface temperature values. Please provide the name of the specific country(s) with the anomaly.",
        "response": "Based on the provided data, no significant Surface temperature anomalies were detected relative to the daily climatology for day 121 baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "2m_temperature",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "daily climatology for day 121",
            "sigma_threshold": 3,
            "threshold_direction": "below",
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "ad6988f26990e241",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "83759:83786:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '86658:86686:1'} The data starts from April 25 12:00 and ends on May 02 06:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
        "response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Sand/Dust storm is occuring in the country of India. Specifically the region(s) being affected are: Rajasthan, Uttar Pradesh\nA Storm (General) is occuring in the country of Argentina. Specifically the region(s) being affected are: La Matanza, Quilmes, Padre Varela de Luján,Lomas de Zamora districts (Buenos Aires)\n",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "1cJ6lX",
            "true_value": [
                "India",
                "Argentina"
            ],
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "02f9d3896f89c4f5",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "86658:86686:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 150 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '71677:71702:1'} The data starts from January 23 06:00 and ends on January 29 06:00. Based on the above data, answer the following question:",
        "question": "Based on the provided meteorological data, where is the Tropical Cyclone currently happening? Specify the affected countries or regions, or respond 'No Tropical Cyclone detected.'",
        "response": "Based on the provided data, the Tropical Cyclone is affecting: Madagascar; Fiji",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "a7d6Lm",
            "true_value": [
                "Madagascar",
                "Fiji"
            ],
            "target_disaster": "Tropical Cyclone",
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "8f6321b21808b6a7",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "71677:71702:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 120 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '76509:76529:1'} The data starts from May 15 06:00 and ends on May 20 00:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) U (zonal) component of wind at 200 hPa differs from the MAM seasonal climatology mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below U (zonal) component of wind at 200 hPa values. Please provide the name of the specific country(s) with the anomaly.",
        "response": "Based on the provided data, no significant U (zonal) component of wind at 200 hPa anomalies were detected relative to the MAM seasonal climatology baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "u_component_of_wind",
                200
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "MAM seasonal climatology",
            "sigma_threshold": 3,
            "threshold_direction": "below",
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "b0db9b571e68da7d",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "76509:76529:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 102 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '72595:72612:1'} The data starts from September 08 18:00 and ends on September 12 18:00. Based on the above data, answer the following question:",
        "question": "Which water_body(s) are currently experiencing an exceedance in U (zonal) component of wind at 500 hPa values? An exceedance is defined as a period of at least 48 consecutive hours where the U (zonal) component of wind at 500 hPa values exceed the 99th percentile climatology for the all-time climatology.",
        "response": "Based on the provided data, no significant U (zonal) component of wind at 500 hPa anomalies were detected relative to the all-time climatology baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "kjYH1S",
            "variable": [
                "u_component_of_wind",
                500
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "all-time climatology",
            "quantile": "0.99",
            "min_duration_days": 2,
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "6bda2653b171d228",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "72595:72612:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 54 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '87066:87075:1'} The data starts from August 05 12:00 and ends on August 07 12:00. Based on the above data, answer the following question:",
        "question": "Which country(s) have regions with (time-averaged) V (meridional) component of wind at 700 hPa values running below the 5th percentile climatology for the monthly climatology for August? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) show V (meridional) component of wind at 700 hPa values below the 5th percentile climatology for monthly climatology for August: Indonesia(average -0.3884 m/s)\nPeru(average -0.2654 m/s)\nIndia(average -0.3411 m/s)\nChina(average -0.1267 m/s)\nUnited Republic of Tanzania(average -0.4573 m/s)\nMorocco(average -1.048 m/s)\nBrazil(average -0.8574 m/s)\nNorway(average -1.145 m/s)\nVietnam(average -0.1488 m/s)\nSpain(average -0.7427 m/s)\nSudan(average -0.1557 m/s)\nIran(average -0.1661 m/s)\nPakistan(average -0.01352 m/s)\nAlgeria(average -0.3944 m/s)\nAfghanistan(average -0.1937 m/s)\nEcuador(average -0.1529 m/s)\nTurkmenistan(average -0.143 m/s)\nMexico(average -0.6755 m/s)\nEgypt(average -0.3248 m/s)\nGreenland(average -0.7052 m/s)\nSri Lanka(average -0.3008 m/s)\nJapan(average -0.6422 m/s)\nIceland(average -0.797 m/s)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "v_component_of_wind",
                700
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "monthly climatology for August",
            "quantile": "0.05",
            "threshold_direction": "below",
            "true_value": [
                "Indonesia",
                "Peru",
                "India",
                "China",
                "United Republic of Tanzania",
                "Morocco",
                "Brazil",
                "Norway",
                "Vietnam",
                "Spain",
                "Sudan",
                "Iran",
                "Pakistan",
                "Algeria",
                "Afghanistan",
                "Ecuador",
                "Turkmenistan",
                "Mexico",
                "Egypt",
                "Greenland",
                "Sri Lanka",
                "Japan",
                "Iceland"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "9a2c846acd3148de",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "87066:87075:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '77207:77234:1'} The data starts from November 05 18:00 and ends on November 12 06:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) V (meridional) component of wind at 600 hPa lies outside the climatological 10th–99th percentile envelope for the monthly climatology for November. Regions outside that envelope are anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "These country(s) fall outside the 10th–99th percentile envelope for V (meridional) component of wind at 600 hPa during monthly climatology for November: Indonesia(average -0.424 m/s)\nChile(average -0.5001 m/s)\nDhekelia Sovereign Base Area(average -0.7518 m/s)\nCyprus(average -0.7518 m/s)\nIndia(average -1.454 m/s)\nChina(average -0.2154 m/s)\nIsrael(average -0.8337 m/s)\nPalestine(average -0.8337 m/s)\nLebanon(average -1.657 m/s)\nSyria(average -1.635 m/s)\nFrance(average -0.6479 m/s)\nBhutan(average -0.42 m/s)\nUkraine(average -4.587 m/s)\nBelarus(average -1.261 m/s)\nRussia(average -2.648 m/s)\nGeorgia(average -1.35 m/s)\nTurkey(average -1.898 m/s)\nIraq(average -0.775 m/s)\nSaudi Arabia(average -0.3423 m/s)\nThailand(average -0.8133 m/s)\nMyanmar(average -2.045 m/s)\nBangladesh(average -1.81 m/s)\nJordan(average -0.7161 m/s)\nNepal(average -0.3092 m/s)\nPanama(average -0.09163 m/s)\nNorthern Cyprus(average -1.275 m/s)\nCyprus No Mans Area(average -0.7518 m/s)\nAkrotiri Sovereign Base Area(average -0.7518 m/s)\nGreenland(average -1.539 m/s)\nThe Bahamas(average -0.515 m/s)\nJapan(average -0.9499 m/s)\nNorthern Mariana Islands(average -1.636 m/s)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "gRZFrm",
            "variable": [
                "v_component_of_wind",
                600
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "monthly climatology for November",
            "lower_quantile": "0.1",
            "upper_quantile": "0.99",
            "true_value": [
                "Indonesia",
                "Chile",
                "Dhekelia Sovereign Base Area",
                "Cyprus",
                "India",
                "China",
                "Israel",
                "Palestine",
                "Lebanon",
                "Syria",
                "France",
                "Bhutan",
                "Ukraine",
                "Belarus",
                "Russia",
                "Georgia",
                "Turkey",
                "Iraq",
                "Saudi Arabia",
                "Thailand",
                "Myanmar",
                "Bangladesh",
                "Jordan",
                "Nepal",
                "Panama",
                "Northern Cyprus",
                "Cyprus No Mans Area",
                "Akrotiri Sovereign Base Area",
                "Greenland",
                "The Bahamas",
                "Japan",
                "Northern Mariana Islands"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "d03bdb2f75082627",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "77207:77234:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 84 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '67925:67939:1'} The data starts from June 29 06:00 and ends on July 02 12:00. Based on the above data, answer the following question:",
        "question": "Identify water_body(s) which have regions where (time-averaged) Geopotential at 250 hPa lies outside the climatological 1st–99th percentile envelope for the JJA seasonal climatology. Regions outside that envelope are anomalous.",
        "response": "Based on the provided data, no significant Geopotential at 250 hPa anomalies were detected relative to the JJA seasonal climatology baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "gRZFrm",
            "variable": [
                "geopotential",
                250
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "JJA seasonal climatology",
            "lower_quantile": "0.01",
            "upper_quantile": "0.99",
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "7b8ae1bd4e258d11",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "67925:67939:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 30 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '81736:81741:1'} The data starts from December 12 00:00 and ends on December 13 00:00. Based on the above data, answer the following question:",
        "question": "In the 30 hours after the end of the given time window, when will Nigeria experience its highest 10-meter U component of wind? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Nigeria will experience its highest 10-meter U component of wind of 3.008 m/s 24 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 24,
            "location": "Nigeria",
            "extremum_value": "3.008109",
            "target_variable": "10m_u_component_of_wind",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "56ab56e389c5e6b2",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "81736:81741:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 144 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '91330:91354:1'} The data starts from July 06 12:00 and ends on July 12 06:00. Based on the above data, answer the following question:",
        "question": "Identify water_body(s) which have regions where (time-averaged) Surface pressure lies outside the climatological 10th–99th percentile envelope for the six-hourly climatology for day 187 at 12 UTC. Regions outside that envelope are anomalous.",
        "response": "These water body(s) fall outside the 10th–99th percentile envelope for Surface pressure during six-hourly climatology for day 187 at 12 UTC: Arctic Ocean(average -598.4 Pa)\nSOUTHERN OCEAN(average -604.3 Pa)\nNorth Atlantic Ocean(average -6.209 Pa)\nNorth Pacific Ocean(average 126.6 Pa)\nSouth Pacific Ocean(average -194.4 Pa)\nINDIAN OCEAN(average -213.7 Pa)\nSouth Atlantic Ocean(average -283.6 Pa)\nPhilippine Sea(average 20.35 Pa)\nGreat Barrier Reef(average -50.77 Pa)\nBay of Bengal(average 27.73 Pa)\nSouth China Sea(average 49.22 Pa)\nBeaufort Sea(average -88.04 Pa)\nLabrador Sea(average -106.3 Pa)\nRed Sea(average -1.867 Pa)\nBanda Sea(average -3.977 Pa)\nLuzon Strait(average 14.77 Pa)\nBarents Sea(average -260.9 Pa)\nEast China Sea(average 23.55 Pa)\nChukchi Sea(average -130.7 Pa)\nArafura Sea(average -20.71 Pa)\nTimor Sea(average -10.25 Pa)\nDavis Strait(average -108.4 Pa)\nKara Sea(average -594.7 Pa)\nLaptev Sea(average -773.6 Pa)\nDrake Passage(average -190.5 Pa)\nSea of Azov(average 97.53 Pa)\nGulf of Carpentaria(average -15.03 Pa)\nSolomon Sea(average -9.643 Pa)\nGulf of Tonkin(average 163.7 Pa)\nTaiwan Strait(average 19.52 Pa)\nEast Siberian Sea(average -655.2 Pa)\nVil'kitskogo Strait(average -669.8 Pa)\nShark Bay(average -159.7 Pa)\nKotzebue Sound(average -54.1 Pa)\nGulf of Yana(average -443.7 Pa)\nDmitriy Laptev Strait(average -419.8 Pa)\nQiongzhou Strait(average 107 Pa)\nTorres Strait(average -49.9 Pa)\nGeographe Bay(average -226.9 Pa)\nGulf of Papua(average -48.04 Pa)\nGulf of Olen‘k(average -373.5 Pa)\nEstrecho de Magellanes(average -174 Pa)\nChaun Bay(average -315.3 Pa)\nKhatanga Gulf(average -242.7 Pa)\nGulf of Ob(average -289.1 Pa)\nYenisey Gulf(average -224.1 Pa)\nSeno de Skyring(average -78.83 Pa)\nSeno Otway(average -118.6 Pa)\nBay Inútil(average -109.7 Pa)\nOzero Mogotoyevo(average -410.3 Pa)\nGuba Gusinaya(average -455.9 Pa)\nSargasso Sea(average 46.59 Pa)\nCoral Sea(average -23.31 Pa)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "gRZFrm",
            "variable": [
                "surface_pressure",
                null
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "six-hourly climatology for day 187 at 12 UTC",
            "lower_quantile": "0.1",
            "upper_quantile": "0.99",
            "true_value": [
                "Arctic Ocean",
                "SOUTHERN OCEAN",
                "North Atlantic Ocean",
                "North Pacific Ocean",
                "South Pacific Ocean",
                "INDIAN OCEAN",
                "South Atlantic Ocean",
                "Philippine Sea",
                "Great Barrier Reef",
                "Bay of Bengal",
                "South China Sea",
                "Beaufort Sea",
                "Labrador Sea",
                "Red Sea",
                "Banda Sea",
                "Luzon Strait",
                "Barents Sea",
                "East China Sea",
                "Chukchi Sea",
                "Arafura Sea",
                "Timor Sea",
                "Davis Strait",
                "Kara Sea",
                "Laptev Sea",
                "Drake Passage",
                "Sea of Azov",
                "Gulf of Carpentaria",
                "Solomon Sea",
                "Gulf of Tonkin",
                "Taiwan Strait",
                "East Siberian Sea",
                "Vil'kitskogo Strait",
                "Shark Bay",
                "Kotzebue Sound",
                "Gulf of Yana",
                "Dmitriy Laptev Strait",
                "Qiongzhou Strait",
                "Torres Strait",
                "Geographe Bay",
                "Gulf of Papua",
                "Gulf of Olen‘k",
                "Estrecho de Magellanes",
                "Chaun Bay",
                "Khatanga Gulf",
                "Gulf of Ob",
                "Yenisey Gulf",
                "Seno de Skyring",
                "Seno Otway",
                "Bay Inútil",
                "Ozero Mogotoyevo",
                "Guba Gusinaya",
                "Sargasso Sea",
                "Coral Sea"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "859edbb8dc22e7b3",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "91330:91354:1"
        }
    },
    {
        "prompt": "The following data shows a snapshot of the global weather fields. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '32097:32098:1'} The data corresponds to corresponds to a snapshot on December 20 06:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 24 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 24 hours.'",
        "response": "Based on the provided data, there is no extreme weather event expected within the next 24 hours.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "ry3OgP",
            "true_value": [],
            "extreme_event_hours": 24,
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "1c496ea98d5b6f85",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "32097:32098:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 54 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '69280:69289:1'} The data starts from June 03 00:00 and ends on June 05 00:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) Specific humidity at 200 hPa lies outside the climatological 1st–90th percentile envelope for the monthly climatology for June. Regions outside that envelope are anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "These country(s) fall outside the 1st–90th percentile envelope for Specific humidity at 200 hPa during monthly climatology for June: Bolivia(average 2.737e-06 kg/kg)\nPeru(average 2.702e-06 kg/kg)\nArgentina(average 6.373e-06 kg/kg)\nIndia(average 1.398e-07 kg/kg)\nChina(average 7.782e-06 kg/kg)\nEthiopia(average 5.134e-06 kg/kg)\nSomalia(average 9.393e-06 kg/kg)\nKenya(average 9.153e-06 kg/kg)\nUnited Republic of Tanzania(average 4.019e-06 kg/kg)\nFrance(average 5.028e-06 kg/kg)\nSuriname(average 3.357e-06 kg/kg)\nGuyana(average 3.579e-06 kg/kg)\nRepublic of the Congo(average 3.616e-06 kg/kg)\nNamibia(average 3.32e-06 kg/kg)\nSouth Africa(average 3.347e-06 kg/kg)\nBrazil(average 7.08e-06 kg/kg)\nCzechia(average -2.496e-07 kg/kg)\nSweden(average -1.463e-08 kg/kg)\nAlbania(average -6.19e-07 kg/kg)\nRomania(average -1.163e-07 kg/kg)\nHungary(average -5.198e-07 kg/kg)\nSlovakia(average -2.869e-07 kg/kg)\nPoland(average -2.286e-08 kg/kg)\nLiberia(average 2.183e-07 kg/kg)\nAustria(average -4.515e-07 kg/kg)\nItaly(average -1.104e-06 kg/kg)\nIvory Coast(average 9.478e-07 kg/kg)\nRepublic of Serbia(average -5.816e-07 kg/kg)\nNigeria(average 5.611e-06 kg/kg)\nBenin(average 4.645e-06 kg/kg)\nCroatia(average -7.213e-07 kg/kg)\nSlovenia(average -4.361e-07 kg/kg)\nChad(average 1.248e-06 kg/kg)\nMozambique(average 2.978e-06 kg/kg)\nMontenegro(average -7.75e-07 kg/kg)\nBosnia and Herzegovina(average -9.006e-07 kg/kg)\nParaguay(average 5.727e-06 kg/kg)\nPortugal(average -2.046e-06 kg/kg)\nNepal(average 8.495e-07 kg/kg)\nGabon(average 3.899e-06 kg/kg)\nNiger(average 5.926e-06 kg/kg)\nBurkina Faso(average 3.565e-06 kg/kg)\nTogo(average 4.769e-06 kg/kg)\nGhana(average 3.058e-06 kg/kg)\nUnited States of America(average 1.073e-06 kg/kg)\nCanada(average -8.499e-08 kg/kg)\nAustralia(average 4.016e-07 kg/kg)\nMadagascar(average 5.83e-06 kg/kg)\nFrench Southern and Antarctic Lands(average 2.57e-06 kg/kg)\nSeychelles(average 9.86e-06 kg/kg)\nComoros(average 9.584e-06 kg/kg)\nCabo Verde(average 2.432e-06 kg/kg)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "gRZFrm",
            "variable": [
                "specific_humidity",
                200
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "monthly climatology for June",
            "lower_quantile": "0.01",
            "upper_quantile": "0.9",
            "true_value": [
                "Bolivia",
                "Peru",
                "Argentina",
                "India",
                "China",
                "Ethiopia",
                "Somalia",
                "Kenya",
                "United Republic of Tanzania",
                "France",
                "Suriname",
                "Guyana",
                "Republic of the Congo",
                "Namibia",
                "South Africa",
                "Brazil",
                "Czechia",
                "Sweden",
                "Albania",
                "Romania",
                "Hungary",
                "Slovakia",
                "Poland",
                "Liberia",
                "Austria",
                "Italy",
                "Ivory Coast",
                "Republic of Serbia",
                "Nigeria",
                "Benin",
                "Croatia",
                "Slovenia",
                "Chad",
                "Mozambique",
                "Montenegro",
                "Bosnia and Herzegovina",
                "Paraguay",
                "Portugal",
                "Nepal",
                "Gabon",
                "Niger",
                "Burkina Faso",
                "Togo",
                "Ghana",
                "United States of America",
                "Canada",
                "Australia",
                "Madagascar",
                "French Southern and Antarctic Lands",
                "Seychelles",
                "Comoros",
                "Cabo Verde"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "daf5b1ac8c731962",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "69280:69289:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '68351:68379:1'} The data starts from October 13 18:00 and ends on October 20 12:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
        "response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Tropical cyclone is occuring in the country of Bahamas.\nA Tropical cyclone is occuring in the country of Cuba. Specifically the region(s) being affected are: Santiago de Cuba, Granma, Guantanamo, Matanzas, Sancti Spiritus, Villa Clara, Cienfuegos, Havana, Ciudad Havana, Pinar del Rio, Isla De La Juventud provinces\nA Tropical cyclone is occuring in the country of Haiti. Specifically the region(s) being affected are: Sud, Sud Est provinces\nA Tropical cyclone is occuring in the country of Jamaica. Specifically the region(s) being affected are: Saint Thomas, Saint Catherine, Trelawny, Saint Andrew And Kingston provinces\nA Tropical cyclone is occuring in the country of Mexico. Specifically the region(s) being affected are: Benito Juarez, Isla Mujeres, Cozumel districts (Quintana Roo province)\n",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "1cJ6lX",
            "true_value": [
                "Bahamas",
                "Cuba",
                "Haiti",
                "Jamaica",
                "Mexico"
            ],
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "71414b5b56cb7d62",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "68351:68379:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 156 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '63103:63129:1'} The data starts from March 11 18:00 and ends on March 18 00:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 42 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 42 hours.'",
        "response": "Based on the provided data, the following extreme weather event(s) might happen in the next 42 hours:\nA Storm (General) is expected in the country of United States of America in approximately the next 24 hours. Specifically the region(s) that might get affected are: Sevier, Blount, Knox, Hawkins districts (Tennessee province), Cumberland, Bell districts (Kentucky province), Wise, Smyth, Washington districts (Virginia province), Cabell district (West Virginia province), North Carolina, Mississippi, Arkansas, Texas provinces\n",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "ry3OgP",
            "true_value": [
                "United States of America"
            ],
            "extreme_event_hours": 42,
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "7fe87905ff0cfa60",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "63103:63129:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 156 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '78589:78615:1'} The data starts from October 16 06:00 and ends on October 22 12:00. Based on the above data, answer the following question:",
        "question": "Identify water_body(s) which have regions where (time-averaged) Temperature at 50 hPa differs from the monthly climatology for October mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below Temperature at 50 hPa values.",
        "response": "Based on the provided data, no significant Temperature at 50 hPa anomalies were detected relative to the monthly climatology for October baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "temperature",
                50
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "monthly climatology for October",
            "sigma_threshold": 3,
            "threshold_direction": "below",
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "1e501d8598cca1ed",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "78589:78615:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 66 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '31385:31396:1'} The data starts from June 25 06:00 and ends on June 27 18:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
        "response": "Based on the provided data, there is no extreme weather event occuring.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "1cJ6lX",
            "true_value": [],
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "c6532c86349080f1",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "31385:31396:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 72 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '92555:92567:1'} The data starts from May 08 18:00 and ends on May 11 12:00. Based on the above data, answer the following question:",
        "question": "Which country(s) are currently experiencing an exceedance in Surface temperature values? An exceedance is defined as a period of at least 72 consecutive hours where the Surface temperature values exceed the 90th percentile climatology for the all-time climatology. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) are currently experiencing an exceedance in Surface temperature: Indonesia(average 0.5278 K)\nIndia(average 1.035 K)\nSouth Sudan(average 0.4309 K)\nMorocco(average 0.4454 K)\nWestern Sahara(average 0.8097 K)\nSudan(average 0.4309 K)\nGuatemala(average 0.7954 K)\nEast Timor(average 0.484 K)\nHonduras(average 0.102 K)\nColombia(average 0.1129 K)\nGabon(average 0.06607 K)\nCanada(average 0.05066 K)\nMexico(average 0.5568 K)\nBelize(average 0.9151 K)\nPanama(average 0.242 K)\nPapua New Guinea(average 0.7558 K)\nYemen(average 0.9347 K)\nEquatorial Guinea(average 0.1262 K)\nAustralia(average 0.5584 K)\nPhilippines(average 0.6323 K)\nSri Lanka(average 0.5432 K)\nFrench Polynesia(average 0.3651 K)\nSeychelles(average 0.1131 K)\nSaint Helena(average 0.4643 K)\nIndian Ocean Territories(average 1.011 K)\nBritish Indian Ocean Territory(average 0.09677 K)\nTuvalu(average 0.03116 K)\nMaldives(average 0.7088 K)\nFederated States of Micronesia(average 0.4414 K)\nSpratly Islands(average 0.5052 K)\nAshmore and Cartier Islands(average 0.01511 K)\nScarborough Reef(average 0.8625 K)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "kjYH1S",
            "variable": [
                "2m_temperature",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "all-time climatology",
            "quantile": "0.9",
            "min_duration_days": 3,
            "true_value": [
                "Indonesia",
                "India",
                "South Sudan",
                "Morocco",
                "Western Sahara",
                "Sudan",
                "Guatemala",
                "East Timor",
                "Honduras",
                "Colombia",
                "Gabon",
                "Canada",
                "Mexico",
                "Belize",
                "Panama",
                "Papua New Guinea",
                "Yemen",
                "Equatorial Guinea",
                "Australia",
                "Philippines",
                "Sri Lanka",
                "French Polynesia",
                "Seychelles",
                "Saint Helena",
                "Indian Ocean Territories",
                "British Indian Ocean Territory",
                "Tuvalu",
                "Maldives",
                "Federated States of Micronesia",
                "Spratly Islands",
                "Ashmore and Cartier Islands",
                "Scarborough Reef"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "f228b173ffd002ec",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "92555:92567:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 114 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '83668:83687:1'} The data starts from April 08 00:00 and ends on April 12 12:00. Based on the above data, answer the following question:",
        "question": "Identify water_body(s) which have regions where (time-averaged) Geopotential at 250 hPa lies outside the climatological 10th–99th percentile envelope for the monthly climatology for April. Regions outside that envelope are anomalous.",
        "response": "These water body(s) fall outside the 10th–99th percentile envelope for Geopotential at 250 hPa during monthly climatology for April: SOUTHERN OCEAN(average -199.7 m²/s²)\nNorth Pacific Ocean(average 47.04 m²/s²)\nSouth Pacific Ocean(average 60.63 m²/s²)\nINDIAN OCEAN(average 3.048 m²/s²)\nSouth Atlantic Ocean(average 217.6 m²/s²)\nPhilippine Sea(average 52.37 m²/s²)\nBay of Bengal(average 30.13 m²/s²)\nSouth China Sea(average 1.681 m²/s²)\nSea of Okhotsk(average -20.55 m²/s²)\nGreenland Sea(average 66.07 m²/s²)\nAndaman Sea(average 32.09 m²/s²)\nArafura Sea(average 13.88 m²/s²)\nTimor Sea(average 18.62 m²/s²)\nGulf of Thailand(average 15.41 m²/s²)\nJames Bay(average -58.4 m²/s²)\nGulf of Carpentaria(average 16.45 m²/s²)\nSolomon Sea(average 13.6 m²/s²)\nMcMurdo Sound(average -122 m²/s²)\nLa Pérouse Strait(average -29.08 m²/s²)\nPrydz Bay(average -26.52 m²/s²)\nSt. Helena Bay(average 7.664 m²/s²)\nJoseph Bonaparte Gulf(average 44.5 m²/s²)\nGulf of Martaban(average 34.7 m²/s²)\nSavu Sea(average 0.9219 m²/s²)\nRoss Sea(average -82.22 m²/s²)\nCoral Sea(average 21.85 m²/s²)\nSea of Japan(average -82.17 m²/s²)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "gRZFrm",
            "variable": [
                "geopotential",
                250
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "monthly climatology for April",
            "lower_quantile": "0.1",
            "upper_quantile": "0.99",
            "true_value": [
                "SOUTHERN OCEAN",
                "North Pacific Ocean",
                "South Pacific Ocean",
                "INDIAN OCEAN",
                "South Atlantic Ocean",
                "Philippine Sea",
                "Bay of Bengal",
                "South China Sea",
                "Sea of Okhotsk",
                "Greenland Sea",
                "Andaman Sea",
                "Arafura Sea",
                "Timor Sea",
                "Gulf of Thailand",
                "James Bay",
                "Gulf of Carpentaria",
                "Solomon Sea",
                "McMurdo Sound",
                "La Pérouse Strait",
                "Prydz Bay",
                "St. Helena Bay",
                "Joseph Bonaparte Gulf",
                "Gulf of Martaban",
                "Savu Sea",
                "Ross Sea",
                "Coral Sea",
                "Sea of Japan"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "4826e9992426592a",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "83668:83687:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '90605:90632:1'} The data starts from January 06 06:00 and ends on January 12 18:00. Based on the above data, answer the following question:",
        "question": "Based on the provided meteorological data, where is the Blizzard/Winter Storm currently happening? Specify the affected countries or regions, or respond 'No Blizzard/Winter Storm detected.'",
        "response": "Based on the provided data, the Blizzard/Winter Storm is affecting: Spain; Taiwan (Province of China); Japan",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "a7d6Lm",
            "true_value": [
                "Spain",
                "Taiwan (Province of China)",
                "Japan"
            ],
            "target_disaster": "Blizzard/Winter Storm",
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "8287124721b4fa76",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "90605:90632:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 132 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '50380:50402:1'} The data starts from June 26 00:00 and ends on July 01 06:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
        "response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Tropical cyclone is occuring in the country of Philippines. Specifically the region(s) being affected are: Cordillera autonomous region (including Bagio city), Regions I-IV (including Metro Manilla)\nA Tropical cyclone is occuring in the country of Mexico. Specifically the region(s) being affected are: Acapulco\nA Tropical cyclone is occuring in the country of China, Hong Kong Special Administrative Region.\nA Tropical cyclone is occuring in the country of China, Macao Special Administrative Region.\n",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "1cJ6lX",
            "true_value": [
                "Philippines",
                "Mexico",
                "China, Hong Kong Special Administrative Region",
                "China, Macao Special Administrative Region"
            ],
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "1768903521e35694",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "50380:50402:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 12 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '78868:78870:1'} The data starts from December 25 00:00 and ends on December 25 06:00. Based on the above data, answer the following question:",
        "question": "Based on the provided meteorological data, where is the Tropical Cyclone currently happening? Specify the affected countries or regions, or respond 'No Tropical Cyclone detected.'",
        "response": "Based on the provided data, the Tropical Cyclone is affecting: Philippines",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "a7d6Lm",
            "true_value": [
                "Philippines"
            ],
            "target_disaster": "Tropical Cyclone",
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "3194a28824414e8e",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "78868:78870:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 30 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '63973:63978:1'} The data starts from October 15 06:00 and ends on October 16 06:00. Based on the above data, answer the following question:",
        "question": "What will the minimum Temperature at 250 hPa be in Asia, 12 hours after the end of the given time window?",
        "response": "Based on the provided data, the minimum Temperature at 250 hPa in Asia 12 hours after the given time window will be 211.3 K.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "211.30687",
            "location": "Asia",
            "target_variable": "temperature_250",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "9167c7935e5f4410",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "63973:63978:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 138 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '80817:80840:1'} The data starts from April 26 06:00 and ends on May 01 18:00. Based on the above data, answer the following question:",
        "question": "Which water_body(s) are currently experiencing an exceedance in Temperature at 50 hPa values? An exceedance is defined as a period of at least 72 consecutive hours where the Temperature at 50 hPa values exceed the 99th percentile climatology for the MAM seasonal climatology.",
        "response": "Based on the provided data, no significant Temperature at 50 hPa anomalies were detected relative to the MAM seasonal climatology baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "kjYH1S",
            "variable": [
                "temperature",
                50
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "MAM seasonal climatology",
            "quantile": "0.99",
            "min_duration_days": 3,
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "a2b93466cb86d4b7",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "80817:80840:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 36 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '87089:87095:1'} The data starts from August 11 06:00 and ends on August 12 12:00. Based on the above data, answer the following question:",
        "question": "Which country(s) have regions with (time-averaged) 10-meter U component of wind values running above the 95th percentile climatology for the monthly climatology for August? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) show 10-meter U component of wind values above the 95th percentile climatology for monthly climatology for August: Indonesia(average 0.07387 m/s)\nPeru(average 0.249 m/s)\nIndia(average 0.1311 m/s)\nChina(average 1.001 m/s)\nOman(average 0.374 m/s)\nUzbekistan(average 0.331 m/s)\nKazakhstan(average 0.539 m/s)\nTajikistan(average 0.4189 m/s)\nBrazil(average 0.4612 m/s)\nRussia(average 0.7444 m/s)\nNorway(average 0.3758 m/s)\nSweden(average 0.4672 m/s)\nFinland(average 0.5234 m/s)\nVietnam(average 0.2957 m/s)\nCambodia(average 0.0398 m/s)\nSaudi Arabia(average 0.313 m/s)\nPakistan(average 0.164 m/s)\nThailand(average 0.0398 m/s)\nAfghanistan(average 0.3216 m/s)\nTurkmenistan(average 0.2431 m/s)\nUnited States of America(average 0.1646 m/s)\nCanada(average 1.205 m/s)\nMexico(average 0.214 m/s)\nPapua New Guinea(average 0.6036 m/s)\nYemen(average 0.2293 m/s)\nFiji(average 0.1874 m/s)\nPhilippines(average 1.036 m/s)\nFrench Polynesia(average 0.8451 m/s)\nUnited States Minor Outlying Islands(average 5.221 m/s)\nCook Islands(average 0.6517 m/s)\nTonga(average 0.7413 m/s)\nWallis and Futuna(average 0.9671 m/s)\nTuvalu(average 0.9211 m/s)\nFederated States of Micronesia(average 0.444 m/s)\nScarborough Reef(average 1.45 m/s)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "10m_u_component_of_wind",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "monthly climatology for August",
            "quantile": "0.95",
            "threshold_direction": "above",
            "true_value": [
                "Indonesia",
                "Peru",
                "India",
                "China",
                "Oman",
                "Uzbekistan",
                "Kazakhstan",
                "Tajikistan",
                "Brazil",
                "Russia",
                "Norway",
                "Sweden",
                "Finland",
                "Vietnam",
                "Cambodia",
                "Saudi Arabia",
                "Pakistan",
                "Thailand",
                "Afghanistan",
                "Turkmenistan",
                "United States of America",
                "Canada",
                "Mexico",
                "Papua New Guinea",
                "Yemen",
                "Fiji",
                "Philippines",
                "French Polynesia",
                "United States Minor Outlying Islands",
                "Cook Islands",
                "Tonga",
                "Wallis and Futuna",
                "Tuvalu",
                "Federated States of Micronesia",
                "Scarborough Reef"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "1630f830bf357435",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "87089:87095:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 24 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '87232:87236:1'} The data starts from September 16 00:00 and ends on September 16 18:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) 10-meter U component of wind differs from the daily climatology for day 259 mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below 10-meter U component of wind values. Please provide the name of the specific country(s) with the anomaly.",
        "response": "These country(s) exceed the ±3σ anomaly threshold for 10-meter U component of wind relative to the daily climatology for day 259 mean: China(average -4.342 m/s)\nUnited States of America(average -5.823 m/s)\nCanada(average -1.833 m/s)\nHong Kong S.A.R.(average -7.456 m/s)\nTaiwan(average -5.706 m/s)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "10m_u_component_of_wind",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "daily climatology for day 259",
            "sigma_threshold": 3,
            "threshold_direction": "below",
            "true_value": [
                "China",
                "United States of America",
                "Canada",
                "Hong Kong S.A.R.",
                "Taiwan"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "8498f1588e02ee9e",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "87232:87236:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 96 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '89955:89971:1'} The data starts from July 27 18:00 and ends on July 31 12:00. Based on the above data, answer the following question:",
        "question": "Based on the provided meteorological data, where is the Tropical Cyclone currently happening? Specify the affected countries or regions, or respond 'No Tropical Cyclone detected.'",
        "response": "Based on the provided data, the Tropical Cyclone is affecting: Viet Nam; Cuba; Dominican Republic; United States of America",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "a7d6Lm",
            "true_value": [
                "Viet Nam",
                "Cuba",
                "Dominican Republic",
                "United States of America"
            ],
            "target_disaster": "Tropical Cyclone",
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "1667cd3578963e6f",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "89955:89971:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 114 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '87882:87901:1'} The data starts from February 25 12:00 and ends on March 02 00:00. Based on the above data, answer the following question:",
        "question": "Which country(s) have regions with (time-averaged) Temperature at 925 hPa values running below the 1st percentile climatology for the monthly climatology for February? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "Based on the provided data, no significant Temperature at 925 hPa anomalies were detected relative to the monthly climatology for February baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "temperature",
                925
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "monthly climatology for February",
            "quantile": "0.01",
            "threshold_direction": "below",
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "228b6335aad494df",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "87882:87901:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '32950:32977:1'} The data starts from July 21 12:00 and ends on July 28 00:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
        "response": "Based on the provided data, there is no extreme weather event occuring.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "1cJ6lX",
            "true_value": [],
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "db8ead2a75791220",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "32950:32977:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 66 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '75948:75959:1'} The data starts from December 26 00:00 and ends on December 28 12:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) Mean sea level pressure differs from the monthly climatology for December mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above Mean sea level pressure values. Please provide the name of the specific country(s) with the anomaly.",
        "response": "Based on the provided data, no significant Mean sea level pressure anomalies were detected relative to the monthly climatology for December baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "mean_sea_level_pressure",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "monthly climatology for December",
            "sigma_threshold": 3,
            "threshold_direction": "above",
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "822b3c1b24764d9d",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "75948:75959:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 84 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '84749:84763:1'} The data starts from January 03 06:00 and ends on January 06 12:00. Based on the above data, answer the following question:",
        "question": "Identify water_body(s) which have regions where (time-averaged) Mean sea level pressure differs from the daily climatology for day 3 mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below Mean sea level pressure values.",
        "response": "These water body(s) exceed the ±3σ anomaly threshold for Mean sea level pressure relative to the daily climatology for day 3 mean: INDIAN OCEAN(average -579.1 Pa)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "mean_sea_level_pressure",
                null
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "daily climatology for day 3",
            "sigma_threshold": 3,
            "threshold_direction": "below",
            "true_value": [
                "INDIAN OCEAN"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "077b8776e0ca56cf",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "84749:84763:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 144 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '71449:71473:1'} The data starts from November 27 06:00 and ends on December 03 00:00. Based on the above data, answer the following question:",
        "question": "What will the maximum 10-meter U component of wind be in Asia, 18 hours after the end of the given time window?",
        "response": "Based on the provided data, the maximum 10-meter U component of wind in Asia 18 hours after the given time window will be 10.27 m/s.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "10.266631",
            "location": "Asia",
            "target_variable": "10m_u_component_of_wind",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "cbdf5abd0c2f911f",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "71449:71473:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 60 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '88995:89005:1'} The data starts from November 30 18:00 and ends on December 03 00:00. Based on the above data, answer the following question:",
        "question": "Which country(s) have regions with (time-averaged) Surface temperature values running below the 5th percentile climatology for the daily climatology for day 334? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) show Surface temperature values below the 5th percentile climatology for daily climatology for day 334: India(average -0.2541 K)\nChina(average -0.2541 K)\nMorocco(average -0.271 K)\nWestern Sahara(average -0.2083 K)\nRussia(average -1.614 K)\nCanada(average -0.3108 K)\nMauritania(average -0.2083 K)\nAustralia(average -0.2447 K)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "2m_temperature",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "daily climatology for day 334",
            "quantile": "0.05",
            "threshold_direction": "below",
            "true_value": [
                "India",
                "China",
                "Morocco",
                "Western Sahara",
                "Russia",
                "Canada",
                "Mauritania",
                "Australia"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "67ac3412894939dc",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "88995:89005:1"
        }
    },
    {
        "prompt": "The following data shows a snapshot of the global weather fields. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '93073:93074:1'} The data corresponds to corresponds to a snapshot on September 15 06:00. Based on the above data, answer the following question:",
        "question": "Based on the provided meteorological data, where is the Sand/Dust Storm currently happening? Specify the affected countries or regions, or respond 'No Sand/Dust Storm detected.'",
        "response": "No Sand/Dust Storm detected in the provided data.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "a7d6Lm",
            "true_value": [],
            "target_disaster": "Sand/Dust Storm",
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "ddddb62da995d039",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "93073:93074:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 102 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '68630:68647:1'} The data starts from December 22 12:00 and ends on December 26 12:00. Based on the above data, answer the following question:",
        "question": "Based on the provided meteorological data, where is the Severe Winter Conditions currently happening? Specify the affected countries or regions, or respond 'No Severe Winter Conditions detected.'",
        "response": "Based on the provided data, the Severe Winter Conditions is affecting: Türkiye",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "a7d6Lm",
            "true_value": [
                "Türkiye"
            ],
            "target_disaster": "Severe Winter Conditions",
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "033838eb38f0d3bc",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "68630:68647:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 30 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '36503:36508:1'} The data starts from December 26 18:00 and ends on December 27 18:00. Based on the above data, answer the following question:",
        "question": "What will the average 10-meter U component of wind be in Africa, 42 hours after the end of the given time window?",
        "response": "Based on the provided data, the average 10-meter U component of wind in Africa 42 hours after the given time window will be -1.538 m/s.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "-1.5375578",
            "location": "Africa",
            "target_variable": "10m_u_component_of_wind",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "7c620b7d76e68c1c",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "36503:36508:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 54 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '88570:88579:1'} The data starts from August 16 12:00 and ends on August 18 12:00. Based on the above data, answer the following question:",
        "question": "Which country(s) are currently experiencing an exceedance in Specific humidity at 500 hPa values? An exceedance is defined as a period of at least 48 consecutive hours where the Specific humidity at 500 hPa values exceed the 99th percentile climatology for the all-time climatology. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) are currently experiencing an exceedance in Specific humidity at 500 hPa: China(average 0.0003379 kg/kg)\nFrance(average 0.000292 kg/kg)\nMorocco(average 0.000221 kg/kg)\nWestern Sahara(average 0.0001183 kg/kg)\nRussia(average 0.0003216 kg/kg)\nGeorgia(average 0.0001861 kg/kg)\nAzerbaijan(average 0.0001689 kg/kg)\nTurkey(average 0.0001689 kg/kg)\nArmenia(average 0.0001911 kg/kg)\nSudan(average 0.0005193 kg/kg)\nIran(average 0.0001689 kg/kg)\nNigeria(average 2.624e-05 kg/kg)\nSaudi Arabia(average 0.0002921 kg/kg)\nAlgeria(average 0.000207 kg/kg)\nUnited States of America(average 0.0004072 kg/kg)\nMexico(average 2.091e-05 kg/kg)\nEgypt(average 0.0004971 kg/kg)\nBir Tawil(average 0.0003521 kg/kg)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "kjYH1S",
            "variable": [
                "specific_humidity",
                500
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "all-time climatology",
            "quantile": "0.99",
            "min_duration_days": 2,
            "true_value": [
                "China",
                "France",
                "Morocco",
                "Western Sahara",
                "Russia",
                "Georgia",
                "Azerbaijan",
                "Turkey",
                "Armenia",
                "Sudan",
                "Iran",
                "Nigeria",
                "Saudi Arabia",
                "Algeria",
                "United States of America",
                "Mexico",
                "Egypt",
                "Bir Tawil"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "144b728f8419a4b2",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "88570:88579:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 12 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '32022:32024:1'} The data starts from December 01 12:00 and ends on December 01 18:00. Based on the above data, answer the following question:",
        "question": "Based on the provided meteorological data, where is the Severe Weather currently happening? Specify the affected countries or regions, or respond 'No Severe Weather detected.'",
        "response": "No Severe Weather detected in the provided data.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "a7d6Lm",
            "true_value": [],
            "target_disaster": "Severe Weather",
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "741125bda85797a3",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "32022:32024:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 54 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '57616:57625:1'} The data starts from June 09 00:00 and ends on June 11 00:00. Based on the above data, answer the following question:",
        "question": "In the 6 hours after the end of the given time window, when will Democratic Republic of the Congo experience its lowest 10-meter U component of wind? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Democratic Republic of the Congo will experience its lowest 10-meter U component of wind of -3.199 m/s 6 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 6,
            "location": "Democratic Republic of the Congo",
            "extremum_value": "-3.1994305",
            "target_variable": "10m_u_component_of_wind",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "966be7aa7c8eea0c",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "57616:57625:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '71590:71617:1'} The data starts from January 01 12:00 and ends on January 08 00:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
        "response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Severe winter conditions is occuring in the country of Afghanistan. Specifically the region(s) being affected are: Nangarhar, Laghman (Eastern), Paktika, Paktya (Central), Ghor, Badghis, Hirat (Western), Sar-e-Pul, Kunduz, Balkh, Jawzjan, Takhar (Northern), Hilmand (SouthWest), Farah provinces\nA Extra-tropical storm is occuring in the country of United States of America. Specifically the region(s) being affected are: Arkansas, California, Colorado, Illinois, Indiana, Kansas, Michigan, Missouri, New York, Ohio, Oklahoma, Oregon, Washington, Wisconsin provinces\n",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "1cJ6lX",
            "true_value": [
                "Afghanistan",
                "United States of America"
            ],
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "a2851b39d19ed12e",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "71590:71617:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 66 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '79047:79058:1'} The data starts from February 07 18:00 and ends on February 10 06:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) 10-meter U component of wind differs from the daily climatology for day 38 mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above 10-meter U component of wind values. Please provide the name of the specific country(s) with the anomaly.",
        "response": "Based on the provided data, no significant 10-meter U component of wind anomalies were detected relative to the daily climatology for day 38 baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "10m_u_component_of_wind",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "daily climatology for day 38",
            "sigma_threshold": 3,
            "threshold_direction": "above",
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "22e9a3ae2df1b7f3",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "79047:79058:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 96 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '70294:70310:1'} The data starts from February 11 12:00 and ends on February 15 06:00. Based on the above data, answer the following question:",
        "question": "Identify water_body(s) which have regions where (time-averaged) Surface temperature lies outside the climatological 1st–90th percentile envelope for the DJF seasonal climatology. Regions outside that envelope are anomalous.",
        "response": "These water body(s) fall outside the 1st–90th percentile envelope for Surface temperature during DJF seasonal climatology: Arctic Ocean(average 1.698 K)\nSOUTHERN OCEAN(average 0.2646 K)\nNorth Atlantic Ocean(average 0.2663 K)\nNorth Pacific Ocean(average 0.1958 K)\nSouth Pacific Ocean(average 0.3121 K)\nINDIAN OCEAN(average 0.4534 K)\nSouth Atlantic Ocean(average 0.2828 K)\nBlack Sea(average 1.268 K)\nPhilippine Sea(average 0.2024 K)\nBay of Bengal(average 0.1265 K)\nSouth China Sea(average 0.2173 K)\nArabian Sea(average 0.2122 K)\nCaribbean Sea(average 0.1117 K)\nBaffin Bay(average 1.926 K)\nBanda Sea(average 0.06736 K)\nLuzon Strait(average 0.2173 K)\nMozambique Channel(average 0.2503 K)\nGulf of Guinea(average 0.1034 K)\nScotia Sea(average 0.3171 K)\nBarents Sea(average 0.9738 K)\nJava Sea(average 0.1898 K)\nAndaman Sea(average 0.009949 K)\nArafura Sea(average 0.1415 K)\nTimor Sea(average 0.05556 K)\nLaccadive Sea(average 0.07597 K)\nDrake Passage(average 0.1586 K)\nGreat Australian Bight(average 0.1362 K)\nSea of Azov(average 0.525 K)\nCeram Sea(average 0.02371 K)\nTaiwan Strait(average 0.263 K)\nBalearic Sea(average 0.2519 K)\nEast Siberian Sea(average 1.155 K)\nBransfield Strait(average 0.2607 K)\nGulf of Masira(average 0.05261 K)\nAlboran Sea(average 0.1605 K)\nBight of Benin(average 0.121 K)\nBight of Biafra(average 0.07977 K)\nDavis Sea(average 0.3218 K)\nBali Sea(average 0.1726 K)\nSelat Bali(average 0.2379 K)\nFlores Sea(average 0.191 K)\nSavu Sea(average 0.03915 K)\nMurchison Sound(average 1.32 K)\nMediterranean Sea(average 0.1341 K)\nCoral Sea(average 0.1207 K)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "gRZFrm",
            "variable": [
                "2m_temperature",
                null
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "DJF seasonal climatology",
            "lower_quantile": "0.01",
            "upper_quantile": "0.9",
            "true_value": [
                "Arctic Ocean",
                "SOUTHERN OCEAN",
                "North Atlantic Ocean",
                "North Pacific Ocean",
                "South Pacific Ocean",
                "INDIAN OCEAN",
                "South Atlantic Ocean",
                "Black Sea",
                "Philippine Sea",
                "Bay of Bengal",
                "South China Sea",
                "Arabian Sea",
                "Caribbean Sea",
                "Baffin Bay",
                "Banda Sea",
                "Luzon Strait",
                "Mozambique Channel",
                "Gulf of Guinea",
                "Scotia Sea",
                "Barents Sea",
                "Java Sea",
                "Andaman Sea",
                "Arafura Sea",
                "Timor Sea",
                "Laccadive Sea",
                "Drake Passage",
                "Great Australian Bight",
                "Sea of Azov",
                "Ceram Sea",
                "Taiwan Strait",
                "Balearic Sea",
                "East Siberian Sea",
                "Bransfield Strait",
                "Gulf of Masira",
                "Alboran Sea",
                "Bight of Benin",
                "Bight of Biafra",
                "Davis Sea",
                "Bali Sea",
                "Selat Bali",
                "Flores Sea",
                "Savu Sea",
                "Murchison Sound",
                "Mediterranean Sea",
                "Coral Sea"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "0c66d7e262052ff2",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "70294:70310:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '90902:90929:1'} The data starts from March 21 12:00 and ends on March 28 00:00. Based on the above data, answer the following question:",
        "question": "Based on the provided meteorological data, where is the Severe Weather currently happening? Specify the affected countries or regions, or respond 'No Severe Weather detected.'",
        "response": "Based on the provided data, the Severe Weather is affecting: Thailand; Viet Nam",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "a7d6Lm",
            "true_value": [
                "Thailand",
                "Viet Nam"
            ],
            "target_disaster": "Severe Weather",
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "58709621716098d9",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "90902:90929:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 144 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '75781:75805:1'} The data starts from November 14 06:00 and ends on November 20 00:00. Based on the above data, answer the following question:",
        "question": "Which country(s) have regions with (time-averaged) Surface temperature values running below the 5th percentile climatology for the SON seasonal climatology? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) show Surface temperature values below the 5th percentile climatology for SON seasonal climatology: Norway(average -0.4389 K)\nSweden(average -0.4709 K)\nFinland(average -0.3086 K)\nUnited States of America(average -0.03351 K)\nCanada(average -0.7377 K)\nMexico(average -0.4101 K)\nPanama(average -0.07501 K)\nGreenland(average -1.103 K)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "2m_temperature",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "SON seasonal climatology",
            "quantile": "0.05",
            "threshold_direction": "below",
            "true_value": [
                "Norway",
                "Sweden",
                "Finland",
                "United States of America",
                "Canada",
                "Mexico",
                "Panama",
                "Greenland"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "ecbdb7494f754179",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "75781:75805:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '92062:92089:1'} The data starts from January 05 12:00 and ends on January 12 00:00. Based on the above data, answer the following question:",
        "question": "Which country(s) have regions with (time-averaged) V (meridional) component of wind at 50 hPa values running above the 99th percentile climatology for the all-time climatology? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "Based on the provided data, no significant V (meridional) component of wind at 50 hPa anomalies were detected relative to the all-time climatology baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "v_component_of_wind",
                50
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "all-time climatology",
            "quantile": "0.99",
            "threshold_direction": "above",
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "dccc5bd4c5fbab88",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "92062:92089:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 48 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '43598:43606:1'} The data starts from November 03 12:00 and ends on November 05 06:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
        "response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Tropical cyclone is occuring in the country of Philippines. Specifically the region(s) being affected are: Manilla, Tagalog, Bicol, western Visayas\n",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "1cJ6lX",
            "true_value": [
                "Philippines"
            ],
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "c216d3f1e877cce6",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "43598:43606:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 66 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '40607:40618:1'} The data starts from October 17 18:00 and ends on October 20 06:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
        "response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Storm (General) is occuring in the country of United Kingdom of Great Britain and Northern Ireland.\nA Storm (General) is occuring in the country of Netherlands (Kingdom of the).\nA Storm (General) is occuring in the country of Switzerland.\n",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "1cJ6lX",
            "true_value": [
                "United Kingdom of Great Britain and Northern Ireland",
                "Netherlands (Kingdom of the)",
                "Switzerland"
            ],
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "afa1298dc4505092",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "40607:40618:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 54 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '80776:80785:1'} The data starts from April 16 00:00 and ends on April 18 00:00. Based on the above data, answer the following question:",
        "question": "Which country(s) have regions with (time-averaged) U (zonal) component of wind at 850 hPa values running below the 5th percentile climatology for the daily climatology for day 106? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) show U (zonal) component of wind at 850 hPa values below the 5th percentile climatology for daily climatology for day 106: China(average -1.86 m/s)\nSyria(average -1.573 m/s)\nMorocco(average -0.6262 m/s)\nUkraine(average -1.241 m/s)\nKazakhstan(average -0.233 m/s)\nMongolia(average -1.77 m/s)\nRussia(average -1.005 m/s)\nTurkey(average -1.397 m/s)\nSpain(average -0.6262 m/s)\nRomania(average -3.133 m/s)\nHungary(average -1.71 m/s)\nSlovakia(average -1.332 m/s)\nGreece(average -0.1181 m/s)\nSierra Leone(average -0.357 m/s)\nGuinea(average -0.4036 m/s)\nLiberia(average -0.02278 m/s)\nIraq(average -1.414 m/s)\nRepublic of Serbia(average -2.062 m/s)\nMali(average -0.3958 m/s)\nSenegal(average -1.238 m/s)\nCroatia(average -2.471 m/s)\nSaudi Arabia(average -0.2535 m/s)\nBulgaria(average -1.494 m/s)\nKuwait(average -0.8649 m/s)\nAlgeria(average -1.484 m/s)\nEcuador(average -0.5632 m/s)\nColombia(average -0.8377 m/s)\nMoldova(average -2.024 m/s)\nUnited States of America(average -0.9955 m/s)\nCanada(average -1.645 m/s)\nPapua New Guinea(average -0.5951 m/s)\nMauritania(average -1.238 m/s)\nBaykonur Cosmodrome(average -0.2962 m/s)\nGreenland(average -1.078 m/s)\nNew Zealand(average -10.21 m/s)\nMadagascar(average -0.1836 m/s)\nJapan(average -2.623 m/s)\nFrench Polynesia(average -0.5087 m/s)\nCabo Verde(average -0.9483 m/s)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "u_component_of_wind",
                850
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "daily climatology for day 106",
            "quantile": "0.05",
            "threshold_direction": "below",
            "true_value": [
                "China",
                "Syria",
                "Morocco",
                "Ukraine",
                "Kazakhstan",
                "Mongolia",
                "Russia",
                "Turkey",
                "Spain",
                "Romania",
                "Hungary",
                "Slovakia",
                "Greece",
                "Sierra Leone",
                "Guinea",
                "Liberia",
                "Iraq",
                "Republic of Serbia",
                "Mali",
                "Senegal",
                "Croatia",
                "Saudi Arabia",
                "Bulgaria",
                "Kuwait",
                "Algeria",
                "Ecuador",
                "Colombia",
                "Moldova",
                "United States of America",
                "Canada",
                "Papua New Guinea",
                "Mauritania",
                "Baykonur Cosmodrome",
                "Greenland",
                "New Zealand",
                "Madagascar",
                "Japan",
                "French Polynesia",
                "Cabo Verde"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "f67ef89b9876c31f",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "80776:80785:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 54 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '79305:79314:1'} The data starts from April 13 06:00 and ends on April 15 06:00. Based on the above data, answer the following question:",
        "question": "Which water_body(s) have regions with (time-averaged) Mean sea level pressure values running above the 99th percentile climatology for the all-time climatology? Treat any region beyond that percentile as anomalous.",
        "response": "The following water body(s) show Mean sea level pressure values above the 99th percentile climatology for all-time climatology: North Pacific Ocean(average 11.98 Pa)\nSouth Atlantic Ocean(average 97.32 Pa)\nGulf of Alaska(average 62.33 Pa)\nBristol Bay(average 191.9 Pa)\nBering Sea(average 191.8 Pa)\nBaird Inlet(average 230.8 Pa)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "mean_sea_level_pressure",
                null
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "all-time climatology",
            "quantile": "0.99",
            "threshold_direction": "above",
            "true_value": [
                "North Pacific Ocean",
                "South Atlantic Ocean",
                "Gulf of Alaska",
                "Bristol Bay",
                "Bering Sea",
                "Baird Inlet"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "557c58bd330384fd",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "79305:79314:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 138 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '69510:69533:1'} The data starts from July 30 12:00 and ends on August 05 00:00. Based on the above data, answer the following question:",
        "question": "Which water_body(s) are currently experiencing an exceedance in Mean sea level pressure values? An exceedance is defined as a period of at least 72 consecutive hours where the Mean sea level pressure values exceed the 99th percentile climatology for the six-hourly climatology for day 211 at 12 UTC.",
        "response": "The following water body(s) are currently experiencing an exceedance in Mean sea level pressure: SOUTHERN OCEAN(average 545.5 Pa)\nNorth Pacific Ocean(average 56.73 Pa)\nSouth Pacific Ocean(average 295 Pa)\nINDIAN OCEAN(average 607.4 Pa)\nSouth Atlantic Ocean(average 280 Pa)\nPhilippine Sea(average 63.51 Pa)\nSea of Okhotsk(average 77.39 Pa)\nWeddell Sea(average 475.5 Pa)\nJava Sea(average 31.16 Pa)\nYellow Sea(average 122.1 Pa)\nEast China Sea(average 129.7 Pa)\nBellingshausen Sea(average 321.1 Pa)\nDrake Passage(average 184.5 Pa)\nInner Sea(average 85.99 Pa)\nRonne Entrance(average 463.7 Pa)\nUchiura Bay(average 28.71 Pa)\nTsugaru Strait(average 79.33 Pa)\nEast Korea Bay(average 95.54 Pa)\nEstrecho de Magellanes(average 439.9 Pa)\nBahía Grande(average 454 Pa)\nLützow-Holm Bay(average 721 Pa)\nHangzhou Bay(average 206.9 Pa)\nGeorge VI Sound(average 556.1 Pa)\nSeno de Skyring(average 356.5 Pa)\nSeno Otway(average 289.9 Pa)\nBay Inútil(average 512.2 Pa)\nBali Sea(average 17.1 Pa)\nSelat Bali(average 28.52 Pa)\nFlores Sea(average 2.812 Pa)\nSavu Sea(average 2.812 Pa)\nYangtze River(average 177.8 Pa)\nSea of Japan(average 87.58 Pa)\nKorea Strait(average 130.6 Pa)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "kjYH1S",
            "variable": [
                "mean_sea_level_pressure",
                null
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "six-hourly climatology for day 211 at 12 UTC",
            "quantile": "0.99",
            "min_duration_days": 3,
            "true_value": [
                "SOUTHERN OCEAN",
                "North Pacific Ocean",
                "South Pacific Ocean",
                "INDIAN OCEAN",
                "South Atlantic Ocean",
                "Philippine Sea",
                "Sea of Okhotsk",
                "Weddell Sea",
                "Java Sea",
                "Yellow Sea",
                "East China Sea",
                "Bellingshausen Sea",
                "Drake Passage",
                "Inner Sea",
                "Ronne Entrance",
                "Uchiura Bay",
                "Tsugaru Strait",
                "East Korea Bay",
                "Estrecho de Magellanes",
                "Bahía Grande",
                "Lützow-Holm Bay",
                "Hangzhou Bay",
                "George VI Sound",
                "Seno de Skyring",
                "Seno Otway",
                "Bay Inútil",
                "Bali Sea",
                "Selat Bali",
                "Flores Sea",
                "Savu Sea",
                "Yangtze River",
                "Sea of Japan",
                "Korea Strait"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "bb32e9024f380b30",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "69510:69533:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 72 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '40609:40621:1'} The data starts from October 18 06:00 and ends on October 21 00:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 24 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 24 hours.'",
        "response": "Based on the provided data, there is no extreme weather event expected within the next 24 hours.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "ry3OgP",
            "true_value": [],
            "extreme_event_hours": 24,
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "20d3e5ac51ee3798",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "40609:40621:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 126 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '87066:87087:1'} The data starts from August 05 12:00 and ends on August 10 12:00. Based on the above data, answer the following question:",
        "question": "In the 12 hours after the end of the given time window, when will Aegean Sea experience its highest U (zonal) component of wind at 600 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Aegean Sea will experience its highest U (zonal) component of wind at 600 hPa of 1.069 m/s 12 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 12,
            "location": "Aegean Sea",
            "extremum_value": "1.0688201",
            "target_variable": "u_component_of_wind_600",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "872e36f844a20c1e",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "87066:87087:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 30 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '78217:78222:1'} The data starts from July 15 06:00 and ends on July 16 06:00. Based on the above data, answer the following question:",
        "question": "Which country(s) are currently experiencing an exceedance in Surface pressure values? An exceedance is defined as a period of at least 24 consecutive hours where the Surface pressure values exceed the 99th percentile climatology for the JJA seasonal climatology. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) are currently experiencing an exceedance in Surface pressure: Namibia(average 75.4 Pa)\nSouth Africa(average 61.14 Pa)\nFrench Southern and Antarctic Lands(average 12.51 Pa)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "kjYH1S",
            "variable": [
                "surface_pressure",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "JJA seasonal climatology",
            "quantile": "0.99",
            "min_duration_days": 1,
            "true_value": [
                "Namibia",
                "South Africa",
                "French Southern and Antarctic Lands"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "9a50a531b02b0eee",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "78217:78222:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 48 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '38684:38692:1'} The data starts from June 24 00:00 and ends on June 25 18:00. Based on the above data, answer the following question:",
        "question": "What will the minimum U (zonal) component of wind at 250 hPa be in Gulf of Mannar, 6 hours after the end of the given time window?",
        "response": "Based on the provided data, the minimum U (zonal) component of wind at 250 hPa in Gulf of Mannar 6 hours after the given time window will be -19.81 m/s.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "-19.810026",
            "location": "Gulf of Mannar",
            "target_variable": "u_component_of_wind_250",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "9e8d858fcee39620",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "38684:38692:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '52761:52789:1'} The data starts from February 11 06:00 and ends on February 18 00:00. Based on the above data, answer the following question:",
        "question": "What will the minimum Temperature at 150 hPa be in Africa, 18 hours after the end of the given time window?",
        "response": "Based on the provided data, the minimum Temperature at 150 hPa in Africa 18 hours after the given time window will be 202.9 K.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "202.87134",
            "location": "Africa",
            "target_variable": "temperature_150",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "b7b39e78327c1f35",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "52761:52789:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 60 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '70810:70820:1'} The data starts from June 20 12:00 and ends on June 22 18:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) Temperature at 250 hPa lies outside the climatological 1st–95th percentile envelope for the JJA seasonal climatology. Regions outside that envelope are anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "These country(s) fall outside the 1st–95th percentile envelope for Temperature at 250 hPa during JJA seasonal climatology: Indonesia(average 0.3987 K)\nMalaysia(average 0.1732 K)\nChile(average -0.02681 K)\nIndia(average 0.9462 K)\nRussia(average 0.5555 K)\nVietnam(average 0.117 K)\nEast Timor(average 0.639 K)\nBrunei(average 0.205 K)\nCanada(average 0.06198 K)\nPapua New Guinea(average 0.5759 K)\nYemen(average 0.09515 K)\nAustralia(average 0.4144 K)\nPhilippines(average 0.128 K)\nSri Lanka(average 1.238 K)\nKiribati(average 0.07384 K)\nSaint Helena(average 1.181 K)\nSolomon Islands(average 0.2029 K)\nMaldives(average 0.4097 K)\nFederated States of Micronesia(average 0.1385 K)\nSpratly Islands(average 0.1307 K)\nAshmore and Cartier Islands(average 0.2616 K)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "gRZFrm",
            "variable": [
                "temperature",
                250
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "JJA seasonal climatology",
            "lower_quantile": "0.01",
            "upper_quantile": "0.95",
            "true_value": [
                "Indonesia",
                "Malaysia",
                "Chile",
                "India",
                "Russia",
                "Vietnam",
                "East Timor",
                "Brunei",
                "Canada",
                "Papua New Guinea",
                "Yemen",
                "Australia",
                "Philippines",
                "Sri Lanka",
                "Kiribati",
                "Saint Helena",
                "Solomon Islands",
                "Maldives",
                "Federated States of Micronesia",
                "Spratly Islands",
                "Ashmore and Cartier Islands"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "914be808e4affa3e",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "70810:70820:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 42 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '80880:80887:1'} The data starts from May 12 00:00 and ends on May 13 12:00. Based on the above data, answer the following question:",
        "question": "In the 30 hours after the end of the given time window, when will Niue experience its lowest V (meridional) component of wind at 300 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Niue will experience its lowest V (meridional) component of wind at 300 hPa of 2.98 m/s 30 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 30,
            "location": "Niue",
            "extremum_value": "2.9798698",
            "target_variable": "v_component_of_wind_300",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "3cdb580f12c4b215",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "80880:80887:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 90 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '49226:49241:1'} The data starts from September 10 12:00 and ends on September 14 00:00. Based on the above data, answer the following question:",
        "question": "In the 24 hours after the end of the given time window, when will Sulzberger Bay experience its highest U (zonal) component of wind at 50 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Sulzberger Bay will experience its highest U (zonal) component of wind at 50 hPa of 25.96 m/s 6 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 6,
            "location": "Sulzberger Bay",
            "extremum_value": "25.957802",
            "target_variable": "u_component_of_wind_50",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "1a553ece80cdfbf5",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "49226:49241:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '83518:83546:1'} The data starts from March 01 12:00 and ends on March 08 06:00. Based on the above data, answer the following question:",
        "question": "What will the minimum 10-meter V component of wind be in Europe, 42 hours after the end of the given time window?",
        "response": "Based on the provided data, the minimum 10-meter V component of wind in Europe 42 hours after the given time window will be -14.72 m/s.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "-14.720667",
            "location": "Europe",
            "target_variable": "10m_v_component_of_wind",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "5079075f2b51df41",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "83518:83546:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 126 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '83487:83508:1'} The data starts from February 22 18:00 and ends on February 27 18:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) 10-meter U component of wind differs from the all-time climatology mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above 10-meter U component of wind values. Please provide the name of the specific country(s) with the anomaly.",
        "response": "These country(s) exceed the ±3σ anomaly threshold for 10-meter U component of wind relative to the all-time climatology mean: Kiribati(average 8.363 m/s)\nCook Islands(average 11.9 m/s)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "10m_u_component_of_wind",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "all-time climatology",
            "sigma_threshold": 3,
            "threshold_direction": "above",
            "true_value": [
                "Kiribati",
                "Cook Islands"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "3ec5327d405a689e",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "83487:83508:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 78 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '76139:76152:1'} The data starts from February 11 18:00 and ends on February 14 18:00. Based on the above data, answer the following question:",
        "question": "Identify water_body(s) which have regions where (time-averaged) V (meridional) component of wind at 150 hPa lies outside the climatological 1st–99th percentile envelope for the DJF seasonal climatology. Regions outside that envelope are anomalous.",
        "response": "These water body(s) fall outside the 1st–99th percentile envelope for V (meridional) component of wind at 150 hPa during DJF seasonal climatology: SOUTHERN OCEAN(average -0.4565 m/s)\nNorth Pacific Ocean(average 2.413 m/s)\nSouth Pacific Ocean(average 0.2117 m/s)\nINDIAN OCEAN(average 0.9751 m/s)\nSouth Atlantic Ocean(average -0.18 m/s)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "gRZFrm",
            "variable": [
                "v_component_of_wind",
                150
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "DJF seasonal climatology",
            "lower_quantile": "0.01",
            "upper_quantile": "0.99",
            "true_value": [
                "SOUTHERN OCEAN",
                "North Pacific Ocean",
                "South Pacific Ocean",
                "INDIAN OCEAN",
                "South Atlantic Ocean"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "7bbb605e06ce6bfd",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "76139:76152:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 114 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '89684:89703:1'} The data starts from May 21 00:00 and ends on May 25 12:00. Based on the above data, answer the following question:",
        "question": "In the 48 hours after the end of the given time window, when will Haiti experience its highest Mean sea level pressure? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Haiti will experience its highest Mean sea level pressure of 1.015e+05 Pa 48 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 48,
            "location": "Haiti",
            "extremum_value": "101496.53",
            "target_variable": "mean_sea_level_pressure",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "5fa35811899d3d7c",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "89684:89703:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 72 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '93189:93201:1'} The data starts from October 14 06:00 and ends on October 17 00:00. Based on the above data, answer the following question:",
        "question": "What will the median Geopotential at 600 hPa be in Flores Sea, 36 hours after the end of the given time window?",
        "response": "Based on the provided data, the median Geopotential at 600 hPa in Flores Sea 36 hours after the given time window will be 4.328e+04 m²/s².",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "43280.812",
            "location": "Flores Sea",
            "target_variable": "geopotential_600",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "c2b59a2f284bdcc4",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "93189:93201:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '67663:67691:1'} The data starts from April 24 18:00 and ends on May 01 12:00. Based on the above data, answer the following question:",
        "question": "Which country(s) are currently experiencing an exceedance in Specific humidity at 925 hPa values? An exceedance is defined as a period of at least 48 consecutive hours where the Specific humidity at 925 hPa values exceed the 90th percentile climatology for the daily climatology for day 114. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) are currently experiencing an exceedance in Specific humidity at 925 hPa: Indonesia(average 0.0001337 kg/kg)\nIndia(average 0.000455 kg/kg)\nChina(average 0.0001938 kg/kg)\nSomalia(average 5.078e-05 kg/kg)\nSyria(average 0.0004993 kg/kg)\nSomaliland(average 3.931e-05 kg/kg)\nFrance(average 0.0004127 kg/kg)\nUzbekistan(average 0.000388 kg/kg)\nKazakhstan(average 0.0003701 kg/kg)\nMongolia(average 4.533e-05 kg/kg)\nRussia(average 0.000248 kg/kg)\nGermany(average 0.0001325 kg/kg)\nLuxembourg(average 9.565e-07 kg/kg)\nBelgium(average 0.000106 kg/kg)\nKyrgyzstan(average 0.000388 kg/kg)\nIreland(average 0.0001089 kg/kg)\nUnited Kingdom(average 0.0005816 kg/kg)\nSudan(average 0.0009476 kg/kg)\nIraq(average 0.0006919 kg/kg)\nItaly(average 3.877e-05 kg/kg)\nIran(average 0.0003999 kg/kg)\nNetherlands(average 0.0001521 kg/kg)\nQatar(average 0.0001084 kg/kg)\nSaudi Arabia(average 0.0006819 kg/kg)\nPakistan(average 0.0006955 kg/kg)\nKuwait(average 0.0005214 kg/kg)\nEl Salvador(average 0.0001444 kg/kg)\nGuatemala(average 0.0001444 kg/kg)\nAlgeria(average 0.0004039 kg/kg)\nPortugal(average 0.0001565 kg/kg)\nJordan(average 0.0006923 kg/kg)\nUnited States of America(average 0.0002142 kg/kg)\nCanada(average 0.0002519 kg/kg)\nYemen(average 2.323e-05 kg/kg)\nBaykonur Cosmodrome(average 0.0003512 kg/kg)\nAustralia(average 9.87e-05 kg/kg)\nGreenland(average 2.829e-05 kg/kg)\nFiji(average 7.522e-05 kg/kg)\nFrench Southern and Antarctic Lands(average 0.0003073 kg/kg)\nJersey(average 0.000724 kg/kg)\nGuernsey(average 0.000724 kg/kg)\nBritish Indian Ocean Territory(average 0.0001455 kg/kg)\nSamoa(average 9.053e-05 kg/kg)\nMaldives(average 0.0002731 kg/kg)\nBahrain(average 0.0001084 kg/kg)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "kjYH1S",
            "variable": [
                "specific_humidity",
                925
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "daily climatology for day 114",
            "quantile": "0.9",
            "min_duration_days": 2,
            "true_value": [
                "Indonesia",
                "India",
                "China",
                "Somalia",
                "Syria",
                "Somaliland",
                "France",
                "Uzbekistan",
                "Kazakhstan",
                "Mongolia",
                "Russia",
                "Germany",
                "Luxembourg",
                "Belgium",
                "Kyrgyzstan",
                "Ireland",
                "United Kingdom",
                "Sudan",
                "Iraq",
                "Italy",
                "Iran",
                "Netherlands",
                "Qatar",
                "Saudi Arabia",
                "Pakistan",
                "Kuwait",
                "El Salvador",
                "Guatemala",
                "Algeria",
                "Portugal",
                "Jordan",
                "United States of America",
                "Canada",
                "Yemen",
                "Baykonur Cosmodrome",
                "Australia",
                "Greenland",
                "Fiji",
                "French Southern and Antarctic Lands",
                "Jersey",
                "Guernsey",
                "British Indian Ocean Territory",
                "Samoa",
                "Maldives",
                "Bahrain"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "678bcd7e7088453b",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "67663:67691:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 102 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '69469:69486:1'} The data starts from July 20 06:00 and ends on July 24 06:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) Mean sea level pressure differs from the JJA seasonal climatology mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above Mean sea level pressure values. Please provide the name of the specific country(s) with the anomaly.",
        "response": "Based on the provided data, no significant Mean sea level pressure anomalies were detected relative to the JJA seasonal climatology baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "mean_sea_level_pressure",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "JJA seasonal climatology",
            "sigma_threshold": 3,
            "threshold_direction": "above",
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "5760be3e2d707c92",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "69469:69486:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 84 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '82723:82737:1'} The data starts from August 15 18:00 and ends on August 19 00:00. Based on the above data, answer the following question:",
        "question": "Which country(s) have regions with (time-averaged) Surface temperature values running above the 99th percentile climatology for the monthly climatology for August? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) show Surface temperature values above the 99th percentile climatology for monthly climatology for August: Russia(average 0.3133 K)\nNorway(average 0.5311 K)\nUnited States of America(average 0.1013 K)\nCanada(average 0.1144 K)\nMexico(average 0.3966 K)\nGreenland(average 0.5303 K)\nPhilippines(average 0.09351 K)\nKiribati(average 0.01294 K)\nUnited States Minor Outlying Islands(average 0.04105 K)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "2m_temperature",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "monthly climatology for August",
            "quantile": "0.99",
            "threshold_direction": "above",
            "true_value": [
                "Russia",
                "Norway",
                "United States of America",
                "Canada",
                "Mexico",
                "Greenland",
                "Philippines",
                "Kiribati",
                "United States Minor Outlying Islands"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "3ccb28e0c37a1eb3",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "82723:82737:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 156 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '88849:88875:1'} The data starts from October 25 06:00 and ends on October 31 12:00. Based on the above data, answer the following question:",
        "question": "Identify water_body(s) which have regions where (time-averaged) Temperature at 150 hPa lies outside the climatological 5th–95th percentile envelope for the daily climatology for day 298. Regions outside that envelope are anomalous.",
        "response": "These water body(s) fall outside the 5th–95th percentile envelope for Temperature at 150 hPa during daily climatology for day 298: Arctic Ocean(average -0.2599 K)\nSOUTHERN OCEAN(average 3.195 K)\nNorth Atlantic Ocean(average -0.4404 K)\nNorth Pacific Ocean(average -2.43 K)\nSouth Pacific Ocean(average -0.4782 K)\nINDIAN OCEAN(average 0.2643 K)\nSouth Atlantic Ocean(average -0.1025 K)\nTasman Sea(average -0.3618 K)\nArabian Sea(average 0.1883 K)\nGulf of Mexico(average -0.06984 K)\nGulf of Alaska(average -2.419 K)\nWeddell Sea(average 0.0878 K)\nMozambique Channel(average -0.5607 K)\nLaccadive Sea(average 0.2896 K)\nAmundsen Sea(average 0.3795 K)\nKara Sea(average -0.1243 K)\nLaptev Sea(average -0.07818 K)\nGulf of Aden(average 0.06258 K)\nCook Inlet(average -0.2495 K)\nGulf of Maine(average -0.3503 K)\nChesapeake Bay(average -0.3248 K)\nWrigley Gulf(average 2.791 K)\nSulzberger Bay(average 6.876 K)\nMcMurdo Sound(average 12.06 K)\nGulf of Gabès(average 0.4575 K)\nPrince William Sound(average -1.239 K)\nPrydz Bay(average 8.05 K)\nVincennes Bay(average 8.828 K)\nPorpoise Bay(average 6.728 K)\nDavis Sea(average 5.251 K)\nLützow-Holm Bay(average 1.073 K)\nDelaware Bay(average -0.2556 K)\nLong Island Sound(average -0.0844 K)\nAlbemarle Sound(average -0.6935 K)\nPamlico Sound(average -0.8975 K)\nLake Pontchartrain(average -0.1439 K)\nHecate Strait(average -0.3666 K)\nCordova Bay(average -0.7735 K)\nSargasso Sea(average -0.2553 K)\nMediterranean Sea(average 0.4575 K)\nRoss Sea(average 7.427 K)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "gRZFrm",
            "variable": [
                "temperature",
                150
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "daily climatology for day 298",
            "lower_quantile": "0.05",
            "upper_quantile": "0.95",
            "true_value": [
                "Arctic Ocean",
                "SOUTHERN OCEAN",
                "North Atlantic Ocean",
                "North Pacific Ocean",
                "South Pacific Ocean",
                "INDIAN OCEAN",
                "South Atlantic Ocean",
                "Tasman Sea",
                "Arabian Sea",
                "Gulf of Mexico",
                "Gulf of Alaska",
                "Weddell Sea",
                "Mozambique Channel",
                "Laccadive Sea",
                "Amundsen Sea",
                "Kara Sea",
                "Laptev Sea",
                "Gulf of Aden",
                "Cook Inlet",
                "Gulf of Maine",
                "Chesapeake Bay",
                "Wrigley Gulf",
                "Sulzberger Bay",
                "McMurdo Sound",
                "Gulf of Gabès",
                "Prince William Sound",
                "Prydz Bay",
                "Vincennes Bay",
                "Porpoise Bay",
                "Davis Sea",
                "Lützow-Holm Bay",
                "Delaware Bay",
                "Long Island Sound",
                "Albemarle Sound",
                "Pamlico Sound",
                "Lake Pontchartrain",
                "Hecate Strait",
                "Cordova Bay",
                "Sargasso Sea",
                "Mediterranean Sea",
                "Ross Sea"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "1d0575e356a2afbe",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "88849:88875:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '87538:87566:1'} The data starts from December 01 12:00 and ends on December 08 06:00. Based on the above data, answer the following question:",
        "question": "Which water_body(s) have regions with (time-averaged) Temperature at 250 hPa values running below the 1st percentile climatology for the six-hourly climatology for day 335 at 12 UTC? Treat any region beyond that percentile as anomalous.",
        "response": "The following water body(s) show Temperature at 250 hPa values below the 1st percentile climatology for six-hourly climatology for day 335 at 12 UTC: North Atlantic Ocean(average -0.5184 K)\nNorth Pacific Ocean(average -1.223 K)\nINDIAN OCEAN(average -0.2452 K)\nSouth Atlantic Ocean(average -0.4258 K)\nPhilippine Sea(average -0.3158 K)\nQueen Charlotte Sound(average -0.1242 K)\nHecate Strait(average -0.1242 K)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "temperature",
                250
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "six-hourly climatology for day 335 at 12 UTC",
            "quantile": "0.01",
            "threshold_direction": "below",
            "true_value": [
                "North Atlantic Ocean",
                "North Pacific Ocean",
                "INDIAN OCEAN",
                "South Atlantic Ocean",
                "Philippine Sea",
                "Queen Charlotte Sound",
                "Hecate Strait"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "21043956130852f3",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "87538:87566:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 60 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '59354:59364:1'} The data starts from August 17 12:00 and ends on August 19 18:00. Based on the above data, answer the following question:",
        "question": "What will the average 10-meter U component of wind be in South Pacific Ocean, 18 hours after the end of the given time window?",
        "response": "Based on the provided data, the average 10-meter U component of wind in South Pacific Ocean 18 hours after the given time window will be 1.099 m/s.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "1.0987197",
            "location": "South Pacific Ocean",
            "target_variable": "10m_u_component_of_wind",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "cbd2bf1e212ceaba",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "59354:59364:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 126 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '66727:66748:1'} The data starts from September 02 18:00 and ends on September 07 18:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 30 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 30 hours.'",
        "response": "Based on the provided data, the following extreme weather event(s) might happen in the next 30 hours:\nA Tropical cyclone is expected in the country of Barbados in approximately the next 6 hours. Specifically the region(s) that might get affected are: St. Andrew, St. George, St. James, St. John, St. Joseph, St. Lucy, St. Michael, St. Peter, St. Philip, St. Thomas, Christ Church provinces\nA Tropical cyclone is expected in the country of Dominican Republic in approximately the next 30 hours. Specifically the region(s) that might get affected are: Azua, Baoruco, Barahona, Dajabon, Distrito Nacional, Duarte, El Seibo, Elias Pina, Espaillat, Hato Mayor, Independencia, La Altagracia, La Romana, La Vega, Maria Trinidad Sanches, Monsenor Nouel, Monte Cristi, Monte Plata, Pedernales, Peravia, Puerto Plata, Salcedo, Samana, San Cristobal, San José de Ocoa, San Juan, San Pedro de Macoris, Sanchez Ramirez, Santiago, Santiago Rodriguez, Santo Domingo, Valverde provinces\nA Tropical cyclone is expected in the country of Grenada in approximately the next 6 hours. Specifically the region(s) that might get affected are: Name Unknown, St. Andrew's, St. George's, St. John's, St. Mark's, St. Patrick's provinces\nA Tropical cyclone is expected in the country of Saint Lucia in approximately the next 6 hours. Specifically the region(s) that might get affected are: Area Under National Administra, Region Number 1, Region Number 2, Region Number 3, Region Number 4, Region Number 5, Region Number 6, Region Number 7, Region Number 8 provinces\nA Tropical cyclone is expected in the country of Trinidad and Tobago in approximately the next 30 hours. Specifically the region(s) that might get affected are: Caparo, Tumpuna villages (Couva/Tabaquite/Talparo province), Caroni village (Tunapuna/Piarco province)\nA Tropical cyclone is expected in the country of Saint Vincent and the Grenadines in approximately the next 6 hours. Specifically the region(s) that might get affected are: Charlotte, Grenadines, Saint Andrew, Saint David, Saint George, Saint Patrick provinces\nA Tropical cyclone is expected in the country of Venezuela (Bolivarian Republic of) in approximately the next 6 hours. Specifically the region(s) that might get affected are: Aragua, Distrito Capital, Miranda, Vargas provinces\n",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "ry3OgP",
            "true_value": [
                "Barbados",
                "Dominican Republic",
                "Grenada",
                "Saint Lucia",
                "Trinidad and Tobago",
                "Saint Vincent and the Grenadines",
                "Venezuela (Bolivarian Republic of)"
            ],
            "extreme_event_hours": 30,
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "ae261d9f44619008",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "66727:66748:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '85184:85212:1'} The data starts from April 22 00:00 and ends on April 28 18:00. Based on the above data, answer the following question:",
        "question": "Which country(s) are currently experiencing an exceedance in Specific humidity at 850 hPa values? An exceedance is defined as a period of at least 72 consecutive hours where the Specific humidity at 850 hPa values exceed the 95th percentile climatology for the all-time climatology. Please provide the name of the specific country(s) with the anomaly.",
        "response": "Based on the provided data, no significant Specific humidity at 850 hPa anomalies were detected relative to the all-time climatology baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "kjYH1S",
            "variable": [
                "specific_humidity",
                850
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "all-time climatology",
            "quantile": "0.95",
            "min_duration_days": 3,
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "ee77b4e4fbd3793c",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "85184:85212:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 138 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '47989:48012:1'} The data starts from November 06 06:00 and ends on November 11 18:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 30 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 30 hours.'",
        "response": "Based on the provided data, the following extreme weather event(s) might happen in the next 30 hours:\nA Tropical cyclone is expected in the country of India in approximately the next 6 to 174 hours. Specifically the region(s) that might get affected are: Andhra Pradesh, Tamil Nadu, Pondicherry\n",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "ry3OgP",
            "true_value": [
                "India"
            ],
            "extreme_event_hours": 30,
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "51f08e5f7303d0bc",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "47989:48012:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 18 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '90845:90848:1'} The data starts from March 07 06:00 and ends on March 07 18:00. Based on the above data, answer the following question:",
        "question": "In the 48 hours after the end of the given time window, when will Cyprus experience its highest Temperature at 500 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Cyprus will experience its highest Temperature at 500 hPa of 256.5 K 24 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 24,
            "location": "Cyprus",
            "extremum_value": "256.4686",
            "target_variable": "temperature_500",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "3d37bb238bbdcb49",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "90845:90848:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 72 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '70247:70259:1'} The data starts from January 30 18:00 and ends on February 02 12:00. Based on the above data, answer the following question:",
        "question": "Which country(s) have regions with (time-averaged) 10-meter V component of wind values running below the 1st percentile climatology for the all-time climatology? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) show 10-meter V component of wind values below the 1st percentile climatology for all-time climatology: Indonesia(average -0.3967 m/s)\nMalaysia(average -0.3633 m/s)\nBrunei(average -0.6618 m/s)\nCanada(average -0.1467 m/s)\nPapua New Guinea(average -0.08325 m/s)\nAustralia(average -0.2149 m/s)\nPhilippines(average -0.5882 m/s)\nSingapore(average -0.0145 m/s)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "10m_v_component_of_wind",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "all-time climatology",
            "quantile": "0.01",
            "threshold_direction": "below",
            "true_value": [
                "Indonesia",
                "Malaysia",
                "Brunei",
                "Canada",
                "Papua New Guinea",
                "Australia",
                "Philippines",
                "Singapore"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "2426ddb7cfa17675",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "70247:70259:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 108 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '82182:82200:1'} The data starts from April 02 12:00 and ends on April 06 18:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) Geopotential at 1000 hPa differs from the daily climatology for day 92 mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below Geopotential at 1000 hPa values. Please provide the name of the specific country(s) with the anomaly.",
        "response": "Based on the provided data, no significant Geopotential at 1000 hPa anomalies were detected relative to the daily climatology for day 92 baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "geopotential",
                1000
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "daily climatology for day 92",
            "sigma_threshold": 3,
            "threshold_direction": "below",
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "de430d09753a173f",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "82182:82200:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 54 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '91524:91533:1'} The data starts from August 24 00:00 and ends on August 26 00:00. Based on the above data, answer the following question:",
        "question": "What will the average Mean sea level pressure be in Ashmore and Cartier Islands, 30 hours after the end of the given time window?",
        "response": "Based on the provided data, the average Mean sea level pressure in Ashmore and Cartier Islands 30 hours after the given time window will be 1.01e+05 Pa.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "101037.31",
            "location": "Ashmore and Cartier Islands",
            "target_variable": "mean_sea_level_pressure",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "7faad244ba9a3c4f",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "91524:91533:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 30 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '35155:35160:1'} The data starts from January 23 18:00 and ends on January 24 18:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
        "response": "Based on the provided data, there is no extreme weather event occuring.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "1cJ6lX",
            "true_value": [],
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "db96ed43b39413e0",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "35155:35160:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 120 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '76292:76312:1'} The data starts from March 22 00:00 and ends on March 26 18:00. Based on the above data, answer the following question:",
        "question": "What will the minimum Mean sea level pressure be in Clipperton Island, 6 hours after the end of the given time window?",
        "response": "Based on the provided data, the minimum Mean sea level pressure in Clipperton Island 6 hours after the given time window will be 1.008e+05 Pa.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "100838.195",
            "location": "Clipperton Island",
            "target_variable": "mean_sea_level_pressure",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "b25bac546d1efa7d",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "76292:76312:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 84 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '83832:83846:1'} The data starts from May 19 00:00 and ends on May 22 06:00. Based on the above data, answer the following question:",
        "question": "In the 36 hours after the end of the given time window, when will Faroe Islands experience its lowest Temperature at 50 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Faroe Islands will experience its lowest Temperature at 50 hPa of 221.8 K 36 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 36,
            "location": "Faroe Islands",
            "extremum_value": "221.82228",
            "target_variable": "temperature_50",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "c3d53fdef0359c79",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "83832:83846:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '68564:68592:1'} The data starts from December 06 00:00 and ends on December 12 18:00. Based on the above data, answer the following question:",
        "question": "Which water_body(s) are currently experiencing an exceedance in Surface pressure values? An exceedance is defined as a period of at least 48 consecutive hours where the Surface pressure values exceed the 99th percentile climatology for the monthly climatology for December.",
        "response": "The following water body(s) are currently experiencing an exceedance in Surface pressure: Gulf of Ob(average 61.11 Pa)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "kjYH1S",
            "variable": [
                "surface_pressure",
                null
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "monthly climatology for December",
            "quantile": "0.99",
            "min_duration_days": 2,
            "true_value": [
                "Gulf of Ob"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "ffbc661e3fda41a5",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "68564:68592:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 114 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '77282:77301:1'} The data starts from November 24 12:00 and ends on November 29 00:00. Based on the above data, answer the following question:",
        "question": "Which country(s) are currently experiencing an exceedance in Specific humidity at 850 hPa values? An exceedance is defined as a period of at least 96 consecutive hours where the Specific humidity at 850 hPa values exceed the 95th percentile climatology for the daily climatology for day 328. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) are currently experiencing an exceedance in Specific humidity at 850 hPa: Indonesia(average 0.0002143 kg/kg)\nMalaysia(average 0.0002595 kg/kg)\nIndia(average 0.0002992 kg/kg)\nChina(average 0.0002603 kg/kg)\nEthiopia(average 0.0003292 kg/kg)\nKenya(average 0.0002153 kg/kg)\nSomaliland(average 8.949e-06 kg/kg)\nNamibia(average 0.001657 kg/kg)\nKazakhstan(average 0.000298 kg/kg)\nTajikistan(average 5.389e-05 kg/kg)\nMongolia(average 0.0001748 kg/kg)\nRussia(average 0.0002938 kg/kg)\nKyrgyzstan(average 4.812e-05 kg/kg)\nTunisia(average 0.0002279 kg/kg)\nZambia(average 8.111e-05 kg/kg)\nDjibouti(average 8.949e-06 kg/kg)\nEritrea(average 0.0005466 kg/kg)\nIran(average 0.0002949 kg/kg)\nAngola(average 0.001947 kg/kg)\nSaudi Arabia(average 0.0003838 kg/kg)\nZimbabwe(average 0.000156 kg/kg)\nPakistan(average 0.0001514 kg/kg)\nAlgeria(average 0.0001666 kg/kg)\nAfghanistan(average 0.0001602 kg/kg)\nYemen(average 0.0003037 kg/kg)\nAustralia(average 0.0003003 kg/kg)\nMadagascar(average 0.0003056 kg/kg)\nSeychelles(average 0.0006847 kg/kg)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "kjYH1S",
            "variable": [
                "specific_humidity",
                850
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "daily climatology for day 328",
            "quantile": "0.95",
            "min_duration_days": 4,
            "true_value": [
                "Indonesia",
                "Malaysia",
                "India",
                "China",
                "Ethiopia",
                "Kenya",
                "Somaliland",
                "Namibia",
                "Kazakhstan",
                "Tajikistan",
                "Mongolia",
                "Russia",
                "Kyrgyzstan",
                "Tunisia",
                "Zambia",
                "Djibouti",
                "Eritrea",
                "Iran",
                "Angola",
                "Saudi Arabia",
                "Zimbabwe",
                "Pakistan",
                "Algeria",
                "Afghanistan",
                "Yemen",
                "Australia",
                "Madagascar",
                "Seychelles"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "79414ce86c5988c7",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "77282:77301:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 120 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '78197:78217:1'} The data starts from July 10 06:00 and ends on July 15 00:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) U (zonal) component of wind at 600 hPa lies outside the climatological 10th–95th percentile envelope for the all-time climatology. Regions outside that envelope are anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "These country(s) fall outside the 10th–95th percentile envelope for U (zonal) component of wind at 600 hPa during all-time climatology: Indonesia(average -0.5494 m/s)\nChile(average -1.15 m/s)\nBolivia(average -0.1035 m/s)\nPeru(average -0.3819 m/s)\nArgentina(average 0.308 m/s)\nChina(average -2.106 m/s)\nEthiopia(average -0.1504 m/s)\nFrance(average 0.4444 m/s)\nMorocco(average -1.87 m/s)\nWestern Sahara(average -2.322 m/s)\nNamibia(average 0.728 m/s)\nOman(average -0.3512 m/s)\nKazakhstan(average -2.362 m/s)\nTajikistan(average 0.1188 m/s)\nBrazil(average 0.7018 m/s)\nMongolia(average -1.545 m/s)\nRussia(average -0.4674 m/s)\nUnited Arab Emirates(average -0.02134 m/s)\nSpain(average 1.407 m/s)\nKyrgyzstan(average 0.1188 m/s)\nLibya(average -4.229 m/s)\nTunisia(average -4.474 m/s)\nZambia(average 0.7345 m/s)\nItaly(average 0.2793 m/s)\nIran(average -0.3641 m/s)\nMali(average -1.471 m/s)\nAngola(average 0.2763 m/s)\nSaudi Arabia(average -0.08722 m/s)\nBotswana(average 0.7794 m/s)\nZimbabwe(average 0.9447 m/s)\nPakistan(average -0.4275 m/s)\nChad(average -1.541 m/s)\nAlgeria(average -4.937 m/s)\nMozambique(average 0.6962 m/s)\nAndorra(average 0.4318 m/s)\nParaguay(average 0.3229 m/s)\nNiger(average -3.321 m/s)\nUnited States of America(average -1.152 m/s)\nMexico(average -1.701 m/s)\nPapua New Guinea(average -2.414 m/s)\nEgypt(average -2.119 m/s)\nMauritania(average -1.774 m/s)\nVatican(average 0.1599 m/s)\nAustralia(average 1.473 m/s)\nGreenland(average -0.1273 m/s)\nMadagascar(average -0.1217 m/s)\nThe Bahamas(average -1.631 m/s)\nJapan(average -0.4682 m/s)\nPitcairn Islands(average 1.432 m/s)\nFrench Polynesia(average -2.359 m/s)\nFrench Southern and Antarctic Lands(average -0.1526 m/s)\nSeychelles(average -0.1436 m/s)\nKiribati(average -0.9327 m/s)\nUnited States Minor Outlying Islands(average -1.108 m/s)\nBermuda(average -2.289 m/s)\nComoros(average -0.3001 m/s)\nCabo Verde(average -0.7114 m/s)\nSolomon Islands(average -3.665 m/s)\nNauru(average -0.7406 m/s)\nFederated States of Micronesia(average -1.446 m/s)\nFalkland Islands(average -0.1916 m/s)\nVanuatu(average -0.826 m/s)\nNiue(average 0.7304 m/s)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "gRZFrm",
            "variable": [
                "u_component_of_wind",
                600
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "all-time climatology",
            "lower_quantile": "0.1",
            "upper_quantile": "0.95",
            "true_value": [
                "Indonesia",
                "Chile",
                "Bolivia",
                "Peru",
                "Argentina",
                "China",
                "Ethiopia",
                "France",
                "Morocco",
                "Western Sahara",
                "Namibia",
                "Oman",
                "Kazakhstan",
                "Tajikistan",
                "Brazil",
                "Mongolia",
                "Russia",
                "United Arab Emirates",
                "Spain",
                "Kyrgyzstan",
                "Libya",
                "Tunisia",
                "Zambia",
                "Italy",
                "Iran",
                "Mali",
                "Angola",
                "Saudi Arabia",
                "Botswana",
                "Zimbabwe",
                "Pakistan",
                "Chad",
                "Algeria",
                "Mozambique",
                "Andorra",
                "Paraguay",
                "Niger",
                "United States of America",
                "Mexico",
                "Papua New Guinea",
                "Egypt",
                "Mauritania",
                "Vatican",
                "Australia",
                "Greenland",
                "Madagascar",
                "The Bahamas",
                "Japan",
                "Pitcairn Islands",
                "French Polynesia",
                "French Southern and Antarctic Lands",
                "Seychelles",
                "Kiribati",
                "United States Minor Outlying Islands",
                "Bermuda",
                "Comoros",
                "Cabo Verde",
                "Solomon Islands",
                "Nauru",
                "Federated States of Micronesia",
                "Falkland Islands",
                "Vanuatu",
                "Niue"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "3044923c6db0c418",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "78197:78217:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 144 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '91518:91542:1'} The data starts from August 22 12:00 and ends on August 28 06:00. Based on the above data, answer the following question:",
        "question": "In the 30 hours after the end of the given time window, when will Caspian Sea experience its highest Specific humidity at 700 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Caspian Sea will experience its highest Specific humidity at 700 hPa of 0.006847 kg/kg 30 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 30,
            "location": "Caspian Sea",
            "extremum_value": "0.0068466016",
            "target_variable": "specific_humidity_700",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "27631ec306d62bf9",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "91518:91542:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 108 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '75649:75667:1'} The data starts from October 12 06:00 and ends on October 16 12:00. Based on the above data, answer the following question:",
        "question": "What will the maximum 10-meter V component of wind be in Benin, 30 hours after the end of the given time window?",
        "response": "Based on the provided data, the maximum 10-meter V component of wind in Benin 30 hours after the given time window will be 3.257 m/s.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "3.257071",
            "location": "Benin",
            "target_variable": "10m_v_component_of_wind",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "bb77b0b0ab5fa6c5",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "75649:75667:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 72 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '65254:65266:1'} The data starts from August 31 12:00 and ends on September 03 06:00. Based on the above data, answer the following question:",
        "question": "In the 42 hours after the end of the given time window, when will Antarctica experience its highest Temperature at 200 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Antarctica will experience its highest Temperature at 200 hPa of 217.3 K 30 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 30,
            "location": "Antarctica",
            "extremum_value": "217.29764",
            "target_variable": "temperature_200",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "dc1b340255b3f364",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "65254:65266:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 108 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '33474:33492:1'} The data starts from November 29 12:00 and ends on December 03 18:00. Based on the above data, answer the following question:",
        "question": "What will the average U (zonal) component of wind at 400 hPa be in Asia, 48 hours after the end of the given time window?",
        "response": "Based on the provided data, the average U (zonal) component of wind at 400 hPa in Asia 48 hours after the given time window will be 13.73 m/s.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "13.732878",
            "location": "Asia",
            "target_variable": "u_component_of_wind_400",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "9ff49d2300ac6eb1",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "33474:33492:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 36 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '72026:72032:1'} The data starts from April 19 12:00 and ends on April 20 18:00. Based on the above data, answer the following question:",
        "question": "Identify water_body(s) which have regions where (time-averaged) Temperature at 1000 hPa differs from the six-hourly climatology for day 110 at 12 UTC mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below Temperature at 1000 hPa values.",
        "response": "These water body(s) exceed the ±3σ anomaly threshold for Temperature at 1000 hPa relative to the six-hourly climatology for day 110 at 12 UTC mean: SOUTHERN OCEAN(average -11.16 K)\nNorth Pacific Ocean(average -4.728 K)\nINDIAN OCEAN(average -2.87 K)\nSouth Atlantic Ocean(average -7.213 K)\nGulf of Alaska(average -5.013 K)\nJava Sea(average -1.571 K)\nQueen Charlotte Sound(average -5.447 K)\nPrince William Sound(average -4.135 K)\nSmith Sound(average -6.933 K)\nQueen Charlotte Strait(average -5.351 K)\nHecate Strait(average -5.131 K)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "temperature",
                1000
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "six-hourly climatology for day 110 at 12 UTC",
            "sigma_threshold": 3,
            "threshold_direction": "below",
            "true_value": [
                "SOUTHERN OCEAN",
                "North Pacific Ocean",
                "INDIAN OCEAN",
                "South Atlantic Ocean",
                "Gulf of Alaska",
                "Java Sea",
                "Queen Charlotte Sound",
                "Prince William Sound",
                "Smith Sound",
                "Queen Charlotte Strait",
                "Hecate Strait"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "a9cdc0f6b3d619cf",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "72026:72032:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '89505:89533:1'} The data starts from April 06 06:00 and ends on April 13 00:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
        "response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Tropical cyclone is occuring in the country of Fiji. Specifically the region(s) being affected are: Kadavvu, Southern Lau, Matuku, Vatulele\n",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "1cJ6lX",
            "true_value": [
                "Fiji"
            ],
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": true,
            "task_id": "5a504bbb9d8039cb",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "89505:89533:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 30 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '54309:54314:1'} The data starts from March 04 06:00 and ends on March 05 06:00. Based on the above data, answer the following question:",
        "question": "In the 30 hours after the end of the given time window, when will St. Helena Bay experience its lowest Temperature at 1000 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, St. Helena Bay will experience its lowest Temperature at 1000 hPa of 290.9 K 24 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 24,
            "location": "St. Helena Bay",
            "extremum_value": "290.9464",
            "target_variable": "temperature_1000",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "a84bb93f6b23a5dd",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "54309:54314:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 30 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '73122:73127:1'} The data starts from January 18 12:00 and ends on January 19 12:00. Based on the above data, answer the following question:",
        "question": "Which water_body(s) have regions with (time-averaged) 10-meter U component of wind values running below the 10th percentile climatology for the daily climatology for day 18? Treat any region beyond that percentile as anomalous.",
        "response": "The following water body(s) show 10-meter U component of wind values below the 10th percentile climatology for daily climatology for day 18: Arctic Ocean(average -0.6802 m/s)\nSOUTHERN OCEAN(average -1.803 m/s)\nNorth Atlantic Ocean(average -1.533 m/s)\nNorth Pacific Ocean(average -0.7865 m/s)\nSouth Pacific Ocean(average -1.657 m/s)\nINDIAN OCEAN(average -1.015 m/s)\nSouth Atlantic Ocean(average -1.906 m/s)\nPhilippine Sea(average -0.7079 m/s)\nGreat Barrier Reef(average -0.1689 m/s)\nBay of Bengal(average -0.2735 m/s)\nSouth China Sea(average -0.1257 m/s)\nArabian Sea(average -0.2387 m/s)\nSea of Okhotsk(average -1.126 m/s)\nPersian Gulf(average -0.2627 m/s)\nNorwegian Sea(average -1.319 m/s)\nGreenland Sea(average -0.7456 m/s)\nBanda Sea(average -1.622 m/s)\nMozambique Channel(average -1.528 m/s)\nBaltic Sea(average -0.9494 m/s)\nBarents Sea(average -0.8318 m/s)\nNorth Sea(average -0.5477 m/s)\nAndaman Sea(average -0.3064 m/s)\nEast China Sea(average -0.1814 m/s)\nArafura Sea(average -1.482 m/s)\nLaccadive Sea(average -0.2292 m/s)\nJames Bay(average -0.3237 m/s)\nGulf of Finland(average -1.137 m/s)\nGulf of Bothnia(average -0.9276 m/s)\nThe North Western Passages(average -0.4672 m/s)\nGulf of Saint Lawrence(average -0.7844 m/s)\nBismarck Sea(average -0.1048 m/s)\nBay of Fundy(average -0.8054 m/s)\nStrait of Malacca(average -0.1931 m/s)\nStrait of Singapore(average -0.1222 m/s)\nCeram Sea(average -1.501 m/s)\nGulf of Maine(average -0.05369 m/s)\nBering Sea(average -0.2183 m/s)\nLincoln Sea(average -0.0541 m/s)\nVestfjorden(average -1.827 m/s)\nSkagerrak(average -1.887 m/s)\nSognefjorden(average -1.034 m/s)\nTrondheimsfjorden(average -1.376 m/s)\nUda Bay(average -0.7446 m/s)\nTatar Strait(average -0.2469 m/s)\nGulf of Papua(average -0.2179 m/s)\nGulf of Riga(average -0.8168 m/s)\nPorpoise Bay(average -1.146 m/s)\nLützow-Holm Bay(average -1.088 m/s)\nSt. Helena Bay(average -0.2152 m/s)\nBoknafjorden(average -0.5477 m/s)\nGulf of Martaban(average -0.4683 m/s)\nGulf of Sakhalin(average -0.4449 m/s)\nKangertittivaq(average -0.2242 m/s)\nSaint Lawrence River(average -0.5685 m/s)\nDenmark Strait(average -0.9775 m/s)\nHall Basin(average -0.04984 m/s)\nBras d'Or Lake(average -0.06439 m/s)\nKaliningrad(average -0.8044 m/s)\nMurchison Sound(average -0.2157 m/s)\nRobeson Channel(average -0.04239 m/s)\nSargasso Sea(average -0.3063 m/s)\nSan Francisco Bay(average -0.7211 m/s)\nMonterey Bay(average -0.7211 m/s)\nGulf of Anadyr'(average -0.2183 m/s)\nRoss Sea(average -0.2789 m/s)\nCoral Sea(average -0.7015 m/s)\nSea of Japan(average -0.2799 m/s)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "10m_u_component_of_wind",
                null
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "daily climatology for day 18",
            "quantile": "0.1",
            "threshold_direction": "below",
            "true_value": [
                "Arctic Ocean",
                "SOUTHERN OCEAN",
                "North Atlantic Ocean",
                "North Pacific Ocean",
                "South Pacific Ocean",
                "INDIAN OCEAN",
                "South Atlantic Ocean",
                "Philippine Sea",
                "Great Barrier Reef",
                "Bay of Bengal",
                "South China Sea",
                "Arabian Sea",
                "Sea of Okhotsk",
                "Persian Gulf",
                "Norwegian Sea",
                "Greenland Sea",
                "Banda Sea",
                "Mozambique Channel",
                "Baltic Sea",
                "Barents Sea",
                "North Sea",
                "Andaman Sea",
                "East China Sea",
                "Arafura Sea",
                "Laccadive Sea",
                "James Bay",
                "Gulf of Finland",
                "Gulf of Bothnia",
                "The North Western Passages",
                "Gulf of Saint Lawrence",
                "Bismarck Sea",
                "Bay of Fundy",
                "Strait of Malacca",
                "Strait of Singapore",
                "Ceram Sea",
                "Gulf of Maine",
                "Bering Sea",
                "Lincoln Sea",
                "Vestfjorden",
                "Skagerrak",
                "Sognefjorden",
                "Trondheimsfjorden",
                "Uda Bay",
                "Tatar Strait",
                "Gulf of Papua",
                "Gulf of Riga",
                "Porpoise Bay",
                "Lützow-Holm Bay",
                "St. Helena Bay",
                "Boknafjorden",
                "Gulf of Martaban",
                "Gulf of Sakhalin",
                "Kangertittivaq",
                "Saint Lawrence River",
                "Denmark Strait",
                "Hall Basin",
                "Bras d'Or Lake",
                "Kaliningrad",
                "Murchison Sound",
                "Robeson Channel",
                "Sargasso Sea",
                "San Francisco Bay",
                "Monterey Bay",
                "Gulf of Anadyr'",
                "Ross Sea",
                "Coral Sea",
                "Sea of Japan"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "d05850c58d37bfb1",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "73122:73127:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 78 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '81108:81121:1'} The data starts from July 08 00:00 and ends on July 11 00:00. Based on the above data, answer the following question:",
        "question": "What will the minimum U (zonal) component of wind at 700 hPa be in Tunisia, 12 hours after the end of the given time window?",
        "response": "Based on the provided data, the minimum U (zonal) component of wind at 700 hPa in Tunisia 12 hours after the given time window will be 8.682 m/s.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "gExxyC",
            "true_value": "8.682377",
            "location": "Tunisia",
            "target_variable": "u_component_of_wind_700",
            "level": "2a",
            "eval_type": "numerical",
            "forced_extreme_window": false,
            "task_id": "3ea4219baec5d14f",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "81108:81121:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 42 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '72196:72203:1'} The data starts from June 01 00:00 and ends on June 02 12:00. Based on the above data, answer the following question:",
        "question": "In the 30 hours after the end of the given time window, when will Queen Charlotte Sound experience its lowest Geopotential at 600 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Queen Charlotte Sound will experience its lowest Geopotential at 600 hPa of 4.024e+04 m²/s² 24 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 24,
            "location": "Queen Charlotte Sound",
            "extremum_value": "40238.035",
            "target_variable": "geopotential_600",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "1898022035a2dcc5",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "72196:72203:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 42 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '68010:68017:1'} The data starts from July 20 12:00 and ends on July 22 00:00. Based on the above data, answer the following question:",
        "question": "Which country(s) have regions with (time-averaged) Mean sea level pressure values running below the 1st percentile climatology for the daily climatology for day 201? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) show Mean sea level pressure values below the 1st percentile climatology for daily climatology for day 201: Russia(average -30.23 Pa)\nPoland(average -32.31 Pa)\nSudan(average -7.195 Pa)\nUnited States of America(average -70.08 Pa)\nCanada(average -138 Pa)\nMexico(average -62.79 Pa)\nNorthern Mariana Islands(average -45.02 Pa)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "PWioGV",
            "variable": [
                "mean_sea_level_pressure",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "daily climatology for day 201",
            "quantile": "0.01",
            "threshold_direction": "below",
            "true_value": [
                "Russia",
                "Poland",
                "Sudan",
                "United States of America",
                "Canada",
                "Mexico",
                "Northern Mariana Islands"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "baa053d1eff18eed",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "68010:68017:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 36 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '50116:50122:1'} The data starts from April 21 00:00 and ends on April 22 06:00. Based on the above data, answer the following question:",
        "question": "In the 30 hours after the end of the given time window, when will Ukraine experience its lowest 10-meter V component of wind? Provide your answer as the number of hours offset from the end of the given time window.",
        "response": "Based on the provided data, Ukraine will experience its lowest 10-meter V component of wind of -4.737 m/s 6 hours after the end of the given time window.",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "pIzWBe",
            "true_value": 6,
            "location": "Ukraine",
            "extremum_value": "-4.736962",
            "target_variable": "10m_v_component_of_wind",
            "level": "2a",
            "eval_type": "time",
            "forced_extreme_window": false,
            "task_id": "46bfaa5621a840d1",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "50116:50122:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 60 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '74009:74019:1'} The data starts from August 28 06:00 and ends on August 30 12:00. Based on the above data, answer the following question:",
        "question": "Identify water_body(s) which have regions where (time-averaged) U (zonal) component of wind at 700 hPa differs from the monthly climatology for August mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below U (zonal) component of wind at 700 hPa values.",
        "response": "Based on the provided data, no significant U (zonal) component of wind at 700 hPa anomalies were detected relative to the monthly climatology for August baseline.",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "ifMUcY",
            "variable": [
                "u_component_of_wind",
                700
            ],
            "geofeature": "water_body",
            "climatology_timescale_desc": "monthly climatology for August",
            "sigma_threshold": 3,
            "threshold_direction": "below",
            "true_value": [],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "cfb94c6f44ab3098",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "74009:74019:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 108 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '33039:33057:1'} The data starts from August 12 18:00 and ends on August 17 00:00. Based on the above data, answer the following question:",
        "question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
        "response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Tropical cyclone is occuring in the country of Philippines.\n",
        "metadata": {
            "prompt_id": "HIuSnl",
            "question_id": "1cJ6lX",
            "true_value": [
                "Philippines"
            ],
            "level": "2a",
            "eval_type": "extreme_weather",
            "forced_extreme_window": false,
            "task_id": "a0c7190167fb046c",
            "difficulty": "hard"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "33039:33057:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 138 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '69215:69238:1'} The data starts from May 17 18:00 and ends on May 23 06:00. Based on the above data, answer the following question:",
        "question": "Which country(s) are currently experiencing an exceedance in 10-meter V component of wind values? An exceedance is defined as a period of at least 96 consecutive hours where the 10-meter V component of wind values exceed the 95th percentile climatology for the monthly climatology for May. Please provide the name of the specific country(s) with the anomaly.",
        "response": "The following country(s) are currently experiencing an exceedance in 10-meter V component of wind: France(average 0.05582 m/s)\nOman(average 0.4508 m/s)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "kjYH1S",
            "variable": [
                "10m_v_component_of_wind",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "monthly climatology for May",
            "quantile": "0.95",
            "min_duration_days": 4,
            "true_value": [
                "France",
                "Oman"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "dc876749ef3a978a",
            "difficulty": "medium"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "69215:69238:1"
        }
    },
    {
        "prompt": "The following data shows the global weather fields over a period of 72 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '86384:86396:1'} The data starts from February 16 00:00 and ends on February 18 18:00. Based on the above data, answer the following question:",
        "question": "Identify country(s) which have regions where (time-averaged) Surface pressure lies outside the climatological 1st–90th percentile envelope for the DJF seasonal climatology. Regions outside that envelope are anomalous. Please provide the name of the specific country(s) with the anomaly.",
        "response": "These country(s) fall outside the 1st–90th percentile envelope for Surface pressure during DJF seasonal climatology: Chile(average 11.91 Pa)\nBolivia(average 8.779 Pa)\nPeru(average 9.577 Pa)\nArgentina(average 72.89 Pa)\nFrance(average 73.74 Pa)\nGuyana(average 18.09 Pa)\nSaint Martin(average 103.6 Pa)\nSint Maarten(average 103.6 Pa)\nUzbekistan(average 90.41 Pa)\nKazakhstan(average 162.2 Pa)\nTajikistan(average 22.68 Pa)\nBrazil(average 69.32 Pa)\nRussia(average 191.1 Pa)\nNorway(average 518.3 Pa)\nKyrgyzstan(average 40.99 Pa)\nNetherlands(average 95.51 Pa)\nHaiti(average 118 Pa)\nDominican Republic(average 128.2 Pa)\nUS Naval Base Guantanamo Bay(average 107.2 Pa)\nCuba(average 72.53 Pa)\nHonduras(average 19 Pa)\nEcuador(average 3.688 Pa)\nColombia(average 18.34 Pa)\nParaguay(average 41.86 Pa)\nTurkmenistan(average 61.44 Pa)\nUnited States of America(average 399.9 Pa)\nCanada(average 212.2 Pa)\nVenezuela(average 42.69 Pa)\nBaykonur Cosmodrome(average 265.8 Pa)\nGreenland(average 137.6 Pa)\nCuraçao(average 85.05 Pa)\nAruba(average 75.92 Pa)\nThe Bahamas(average 84.24 Pa)\nTurks and Caicos Islands(average 145.5 Pa)\nTrinidad and Tobago(average 55.48 Pa)\nGrenada(average 65.87 Pa)\nSaint Vincent and the Grenadines(average 63.23 Pa)\nBarbados(average 50.12 Pa)\nSaint Lucia(average 66.07 Pa)\nDominica(average 64.18 Pa)\nUnited States Minor Outlying Islands(average 111.8 Pa)\nMontserrat(average 89.51 Pa)\nAntigua and Barbuda(average 89.11 Pa)\nSaint Kitts and Nevis(average 89.11 Pa)\nUnited States Virgin Islands(average 112.8 Pa)\nSaint Barthelemy(average 88.71 Pa)\nPuerto Rico(average 121.4 Pa)\nAnguilla(average 96.17 Pa)\nBritish Virgin Islands(average 108.2 Pa)\nJamaica(average 101 Pa)\nCayman Islands(average 61.37 Pa)\nBajo Nuevo Bank (Petrel Is.)(average 62.82 Pa)\nSerranilla Bank(average 73.27 Pa)\n",
        "metadata": {
            "prompt_id": "70wPiM",
            "question_id": "gRZFrm",
            "variable": [
                "surface_pressure",
                null
            ],
            "geofeature": "country",
            "climatology_timescale_desc": "DJF seasonal climatology",
            "lower_quantile": "0.01",
            "upper_quantile": "0.9",
            "true_value": [
                "Chile",
                "Bolivia",
                "Peru",
                "Argentina",
                "France",
                "Guyana",
                "Saint Martin",
                "Sint Maarten",
                "Uzbekistan",
                "Kazakhstan",
                "Tajikistan",
                "Brazil",
                "Russia",
                "Norway",
                "Kyrgyzstan",
                "Netherlands",
                "Haiti",
                "Dominican Republic",
                "US Naval Base Guantanamo Bay",
                "Cuba",
                "Honduras",
                "Ecuador",
                "Colombia",
                "Paraguay",
                "Turkmenistan",
                "United States of America",
                "Canada",
                "Venezuela",
                "Baykonur Cosmodrome",
                "Greenland",
                "Curaçao",
                "Aruba",
                "The Bahamas",
                "Turks and Caicos Islands",
                "Trinidad and Tobago",
                "Grenada",
                "Saint Vincent and the Grenadines",
                "Barbados",
                "Saint Lucia",
                "Dominica",
                "United States Minor Outlying Islands",
                "Montserrat",
                "Antigua and Barbuda",
                "Saint Kitts and Nevis",
                "United States Virgin Islands",
                "Saint Barthelemy",
                "Puerto Rico",
                "Anguilla",
                "British Virgin Islands",
                "Jamaica",
                "Cayman Islands",
                "Bajo Nuevo Bank (Petrel Is.)",
                "Serranilla Bank"
            ],
            "level": "2a",
            "eval_type": "anomaly",
            "forced_extreme_window": false,
            "task_id": "be8ad08b6f67d44b",
            "difficulty": "easy"
        },
        "data_desc": {
            "type": "wb2",
            "variables": [
                "mean_sea_level_pressure",
                "10m_u_component_of_wind",
                "10m_v_component_of_wind",
                "2m_temperature",
                "surface_pressure",
                "geopotential",
                "specific_humidity",
                "temperature",
                "u_component_of_wind",
                "v_component_of_wind"
            ],
            "time_indices": "86384:86396:1"
        }
    }
]