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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- weather |
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- climate |
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- global |
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--- |
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# NSF NCAR Community Research Earth Digital Intelligence Twin (CREDIT) FuXi 6-Hour Model Weights and Configuration |
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This repository contains the PyTorch checkpoint weights and data/model configuration files for the CREDIT WXFormer 6-hour model. |
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More information about the training and verification of this model can be found in the Schreck et al. (2024) ArXiv [preprint](https://arxiv.org/abs/2411.07814). |
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## Data Access |
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Our model is trained on ERA5 Reanalysis Data from a subset of 16 of the 137 hybrid sigma-pressure vertical levels. |
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The raw data are available on the NSF NCAR [Research Data Archive](https://rda.ucar.edu/datasets/d633006/). |
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Processed data can be accessed on the [CREDIT ERA5 Zarr Files](https://app.globus.org/file-manager?origin_id=2fc90d8f-10b7-44e1-a6a5-cf844112822e&origin_path=%2F) globus collection. |
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## Running the Model |
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To run the model, first install the [CREDIT package](https://github.com/NCAR/miles-credit) from github. |
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Modify the paths in the `finetune_final/model_predict.yml` configuration file to point to the appropriate ERA5 and scaler directories. |
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