SDL-Prediction-Model / config.json
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{
"model_version": "1.0",
"model_type": "CNN-BiLSTM",
"model_description": "A Convolutional Neural Network combined with a Bidirectional LSTM for forecasting surface downward longwave radiation.",
"model-variation": "r2-0.8204",
"model_path": "./model.keras",
"scalers": {
"y_scaler_path": "./scalers/y_scaler.pkl",
"input_scalers_path": "./scalers/input_scalers.pkl"
},
"metadata": {
"initial_X_sequence_path": "./metadata/initial_X_sequence_for_forecast.npy",
"model_metadata_path": "./metadata/model_metadata.json"
},
"dataset": {
"name": "clara-dataset",
"description": "SDL - Surface downward longwave radiation",
"temporal_resolution": "Monthly",
"statistics": {
"mean": true
},
"spatial_resolution": {
"type": "grid",
"resolution": "0.25x0.25 degree"
},
"temporal_coverage": {
"start": "1979-01-01",
"end": "2025-06-01"
},
"geographic_coverage": {
"latitude": {
"min": 5.0,
"max": 40.0
},
"longitude": {
"min": 65.0,
"max": 100.0
}
}
},
"last_known_date": "2025-06-01",
"height": 140,
"width": 140,
"n_channels": 4,
"TIMESTEPS": 12,
"channel_names": [
"sdlr_value",
"year_channel",
"month_sin_channel",
"month_cos_channel"
],
"license": "CC BY-NC-SA-4.0"
}