Upload folder using huggingface_hub
Browse files- README.md +6 -9
- config.json +7 -18
- data_config.yaml +26 -47
- pytorch_model.bin +2 -2
README.md
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---
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language: en
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license: mit
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library_name: pytorch
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---
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## Model Description
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<!-- Provide a longer summary of what this model is/does. -->
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This model class uses satellite data,
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- **Developed by:** openclimatefix
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- **Model type:** Fusion model
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- **Language(s) (NLP):** en
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- **License:** mit
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## Results
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The training logs for the current model can be found here:
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- [https://wandb.ai/openclimatefix/pvnet2.1/runs/[]](https://wandb.ai/openclimatefix/pvnet_day_ahead_36_hours/workspace?)
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# Training Details
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## Results
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The training logs for the current model can be found
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The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
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### Hardware
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---
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language: en
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library_name: pytorch
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license: mit
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---
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## Model Description
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<!-- Provide a longer summary of what this model is/does. -->
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This model class uses satellite data, numerical weather predictions, and recent Grid Service Point( GSP) PV power output to forecast the near-term (~8 hours) PV power output at all GSPs. More information can be found in the model repo [1] and experimental notes in [this google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing).
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- **Developed by:** openclimatefix
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- **Model type:** Fusion model
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- **Language(s) (NLP):** en
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- **License:** mit
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# Training Details
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## Results
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The training logs for the current model can be found here:
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- [https://wandb.ai/openclimatefix/PVNet_da/runs/6yy7obbu](https://wandb.ai/openclimatefix/PVNet_da/runs/6yy7obbu)
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The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
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Some experimental notes can be found at in [the google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing)
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### Hardware
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config.json
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"image_size_pixels": 12
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}
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},
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"
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"_target_": "pvnet.models.multimodal.encoders.encoders3d.ResConv3DNet2",
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"_partial_": true,
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"in_channels": 11,
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"out_features": 256,
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"image_size_pixels": 24,
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"hidden_channels": 32,
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"n_res_blocks": 3,
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"res_block_layers": 3,
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"batch_norm": true,
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"dropout_frac": 0.0
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},
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"pv_encoder": null,
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"output_network": {
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"_target_": "pvnet.models.multimodal.linear_networks.networks.ResFCNet2",
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"include_gsp_yield_history": false,
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"forecast_minutes": 2160,
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"history_minutes": 120,
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"
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"sat_history_minutes": 90,
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"pv_history_minutes": 120,
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"pv_interval_minutes": 30,
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"nwp_history_minutes": {
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"ukv": 120,
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"ecmwf": 120
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"ukv": 1800,
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"ecmwf": 2220
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},
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"optimizer": {
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"_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
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"lr": 0.0001,
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"patience": 5,
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"factor": 0.1,
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"threshold": 0.002
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}
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"adapt_batches": true
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}
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"image_size_pixels": 12
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}
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},
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"add_image_embedding_channel": false,
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"pv_encoder": null,
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"output_network": {
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"_target_": "pvnet.models.multimodal.linear_networks.networks.ResFCNet2",
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"include_gsp_yield_history": false,
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"forecast_minutes": 2160,
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"history_minutes": 120,
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"pv_history_minutes": 180,
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"nwp_history_minutes": {
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"ukv": 120,
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"ecmwf": 120
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"ukv": 1800,
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"ecmwf": 2220
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},
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"nwp_interval_minutes": {
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"ukv": 60,
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"ecmwf": 60
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},
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"optimizer": {
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"_target_": "pvnet.optimizers.EmbAdamWReduceLROnPlateau",
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"lr": 0.0001,
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"patience": 5,
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"factor": 0.1,
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"threshold": 0.002
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}
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}
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data_config.yaml
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description: Config for training the saved PVNet model
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name: PVNet current
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input_data:
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default_forecast_minutes: 2160
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default_history_minutes: 120
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gsp:
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dropout_fraction: 0
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dropout_timedeltas_minutes: null
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forecast_minutes: 2160
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time_resolution_minutes: 30
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nwp:
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ecmwf:
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dropout_timedeltas_minutes:
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- -180
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forecast_minutes: 2220
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history_minutes: 120
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max_staleness_minutes: null
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nwp_channels:
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- t2m
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- dswrf
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- dlwrf
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- mcc
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- lcc
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- tcc
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-
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- sr
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- duvrs
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- u10
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- v10
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nwp_image_size_pixels_height: 12
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nwp_image_size_pixels_width: 12
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nwp_provider: ecmwf
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nwp_zarr_path: PLACEHOLDER.zarr
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time_resolution_minutes: 60
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ukv:
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dropout_fraction: 1.0
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dropout_timedeltas_minutes:
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- -180
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forecast_minutes:
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max_staleness_minutes: null
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-
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- t
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- dswrf
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- dlwrf
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- si10
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- wdir10
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- prate
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-
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-
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time_resolution_minutes: 60
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dropout_fraction: 0
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dropout_timedeltas_minutes: null
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forecast_minutes: 0
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history_minutes: 90
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live_delay_minutes: 60
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satellite_channels:
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- IR_016
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- IR_039
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- IR_087
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- IR_097
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- IR_108
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- IR_120
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- IR_134
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- VIS006
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- VIS008
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- WV_062
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- WV_073
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satellite_image_size_pixels_height: 24
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satellite_image_size_pixels_width: 24
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satellite_zarr_path: PLACEHOLDER.zarr
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time_resolution_minutes: 5
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description: Config for training the saved PVNet model
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name: PVNet current
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input_data:
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gsp:
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dropout_fraction: 0
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dropout_timedeltas_minutes: null
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forecast_minutes: 2160
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interval_end_minutes: 2160
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interval_start_minutes: -120
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time_resolution_minutes: 30
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zarr_path: PLACEHOLDER.zarr
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nwp:
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ecmwf:
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channels:
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- t2m
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- dswrf
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- dlwrf
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- mcc
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- lcc
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- tcc
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- sd
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- sr
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- duvrs
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- u10
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- v10
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dropout_fraction: 1.0
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dropout_timedeltas_minutes:
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- -180
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forecast_minutes: 2460.0
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image_size_pixels_height: 12
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image_size_pixels_width: 12
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interval_end_minutes: 2220
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interval_start_minutes: -120
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max_staleness_minutes: null
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provider: ecmwf
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time_resolution_minutes: 60
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zarr_path: PLACEHOLDER.zarr
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ukv:
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channels:
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- t
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- dswrf
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- dlwrf
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- si10
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- wdir10
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- prate
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dropout_fraction: 1.0
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dropout_timedeltas_minutes:
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- -180
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forecast_minutes: 2040.0
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image_size_pixels_height: 24
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image_size_pixels_width: 24
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interval_end_minutes: 1800
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interval_start_minutes: -120
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max_staleness_minutes: null
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provider: ukv
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time_resolution_minutes: 60
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zarr_path: PLACEHOLDER.zarr
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c64b8178010b5fa2b803c191addc79455b5b13142df4612aa00b6aea3bcb9d4
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size 91006822
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