| license: apache-2.0 | |
| language: | |
| - en | |
| tags: | |
| - weather | |
| - climate | |
| - global | |
| # NSF NCAR Community Research Earth Digital Intelligence Twin (CREDIT) WXFormer 6-Hour Model Weights and Configuration | |
| This repository contains the PyTorch checkpoint weights and data/model configuration files for the CREDIT WXFormer 6-hour model. | |
| 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). | |
| ## Data Access | |
| Our model is trained on ERA5 Reanalysis Data from a subset of 16 of the 137 hybrid sigma-pressure vertical levels. | |
| The raw data are available on the NSF NCAR [Research Data Archive](https://rda.ucar.edu/datasets/d633006/). | |
| ## Running the Model | |
| To run the model, first install the [CREDIT package](https://github.com/NCAR/miles-credit) from github. | |
| Modify the paths in the `finetune_final/model_predict.yml` configuration file to point to the appropriate ERA5 and scaler directories. |