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--- |
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license: cc-by-4.0 |
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language: |
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- en |
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tags: |
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- climate |
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- physics-informed ML |
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- surrogate modeling |
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pretty_name: >- |
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Dataset for emulating the MPI-ESM1.2-LR ensemble mean annual temperature and |
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precipitation |
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size_categories: |
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- n<1K |
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--- |
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This is the repository for the Em-MPI dataset associated with 'The impact of internal variability on benchmarking deep learning climate emulators'. The total size is <10GB. |
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To download the dataset run this Python script: |
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``` |
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from huggingface_hub import snapshot_download # Requires pip install huggingface_hub |
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snapshot_download(repo_id='blutjens/em-mpi', |
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repo_type='dataset', |
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local_dir='../em-mpi-data', # Local path to data |
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) |
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``` |
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Alternatively, one can download individual files on huggingface.com via: |
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``` |
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# Click of 'Files and Versions' |
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# Click on the file you wish to download |
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# Click 'download' |
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``` |
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