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wxformer_1h
djgagne2/wxformer_1h
wxformer_1h is a machine learning model from djgagne2. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repository contains the PyTorch checkpoint weights and data/model configuration files for the CREDIT WXFormer 1-hour model. More information about the training and verification of this model can be found in the S…
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Updated May 20, 2026
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jan 24, 2025
- Updated
- May 20, 2026
- SHA
- b78450a5
Model card
From the Hugging Face model README
NSF NCAR Community Research Earth Digital Intelligence Twin (CREDIT) WXFormer 1-Hour Model Weights and Configuration
This repository contains the PyTorch checkpoint weights and data/model configuration files for the CREDIT WXFormer 1-hour model. More information about the training and verification of this model can be found in the Schreck et al. (2024) ArXiv preprint.
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.
Running the Model
To run the model, first install the CREDIT package from github.
Modify the paths in the finetune_final/model_predict.yml configuration file to point to the appropriate ERA5 and scaler directories.
- License
- apache-2.0
- Languages
- en
- Created
- Jan 24, 2025
- Updated
- May 20, 2026