| {"model_name":"Global-Flood-LSTM","model_type":"global_flood_lstm","architectures":["GlobalFloodLSTM"],"framework":"PyTorch","domain":"hydrology","task":"probabilistic-streamflow-forecasting","implementation":{"entry_point":"model/global_flood_lstm.py","scope":"core-method engineering reproduction"},"architecture":{"history_days":365,"forecast_days":7,"dynamic_source_channels":14,"static_attributes_engineering_ledger":8,"paper_hidden_size":256,"distribution":"asymmetric Laplace","ensemble_members":3,"core":["encoder LSTM","state transition","decoder LSTM","probabilistic head"]},"data":{"targets":"GRDC daily streamflow","gauges":5680,"watershed_years":152259,"years":[1984,2021],"cross_validation":"space and time out-of-sample","synthetic":true},"configuration_sources":["conf/config.yaml","model/global_flood_lstm.py","scripts/fake_data.py","scripts/train.py","scripts/inference.py","scripts/result.py"]} | |