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1.78 kB
| format_version: ml_modis_npz_v1 | |
| data: | |
| path: data/ml_modis_fake.npz | |
| samples: 1400 | |
| years: [2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020] | |
| months: [9, 10] | |
| platforms: [Terra, Aqua] | |
| dimensions: | |
| predictors: 114 | |
| targets: 4 | |
| variables: | |
| profile: | |
| names: [temperature, specific_humidity, relative_humidity, u_wind, v_wind, omega, geopotential, cloud_liquid, cloud_fraction] | |
| pressure_levels_hpa: [1000, 950, 900, 850, 800, 750, 700, 650, 600, 550] | |
| count: 90 | |
| single_level: | |
| names: [sst, surface_pressure, mslp, skin_temperature, t2m, d2m, u10, v10, surface_solar_radiation, surface_thermal_radiation, latent_heat_flux, sensible_heat_flux, boundary_layer_height, total_column_water_vapour, total_column_cloud_liquid, cape, cin, low_cloud_cover, sea_ice_fraction, precipitation, cos_sza, latitude, longitude, platform_hour] | |
| count: 24 | |
| targets: | |
| names: [Nd, reff, LWP, CF] | |
| units: [cm-3, um, g-m-2, fraction] | |
| coordinates: | |
| latitude_degrees_north: [45, 75] | |
| longitude_degrees_east: [-60, 30] | |
| model: | |
| trees: 12 | |
| max_depth: 9 | |
| min_leaf: 7 | |
| max_features: 38 | |
| bootstrap_fraction: 0.6 | |
| split_candidates: 12 | |
| paper_model: | |
| trees: 100 | |
| max_depth: null | |
| min_leaf: 7 | |
| max_features: 38 | |
| bootstrap_fraction: 0.6 | |
| split_candidates: 12 | |
| train: | |
| excluded_year: 2014 | |
| independent_models: 8 | |
| runtime: | |
| seed: 20220908 | |
| device: cpu | |
| distributed_backend: gloo | |
| paths: | |
| checkpoint: result/checkpoints/ml_modis.pt | |
| training_metrics: result/training/metrics.json | |
| predictions: result/output/predictions.npz | |
| evaluation_dir: result/evaluation | |
| evaluation: | |
| cloud_albedo: 0.38 | |
| clear_sky_ocean_albedo: 0.07 | |
| importance_top_k: 10 | |
| figure_dpi: 150 | |