3 datasets found

  1. Singularity image for ClimSim-Online

    • zenodo.org
    bin
    Updated Jul 2, 2025
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    Zeyuan Hu; Zeyuan Hu (2025). Singularity image for ClimSim-Online [Dataset]. http://doi.org/10.5281/zenodo.15786767
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    binAvailable download formats
    Unique identifier
    https://doi.org/10.5281/zenodo.15786767
    Dataset updated
    Jul 2, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Zeyuan Hu; Zeyuan Hu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2025
    Description

    This is a singularity image for climsim-online: https://github.com/leap-stc/climsim-online

    It can be used to launch E3SM-MMF climate simulations or the hybrid physics-machine-learning variants (by replacing the MMF cloud-resolving calculation with neural net) on HPC clusters that support singularity/apptainer.

  2. leap-climsim-part02

    • kaggle.com
    Updated May 15, 2024
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    siwooyong (2024). leap-climsim-part02 [Dataset]. https://www.kaggle.com/datasets/siwooyong/leap-climsim-part02
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 15, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    siwooyong
    Description

    Dataset

    This dataset was created by siwooyong

    Contents

  3. h

    subsampled_low_res

    • huggingface.co
    Updated May 17, 2024
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    Learning the Earth with AI and Physics (2024). subsampled_low_res [Dataset]. https://huggingface.co/datasets/LEAP/subsampled_low_res
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 17, 2024
    Dataset authored and provided by
    Learning the Earth with AI and Physics
    Description

    Inputs and targets in this dataset are pre-normalized and scaled with .nc files found on the GitHub repo: https://github.com/leap-stc/ClimSim/tree/main/preprocessing/normalizations Read more: https://arxiv.org/abs/2306.08754.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Zeyuan Hu; Zeyuan Hu (2025). Singularity image for ClimSim-Online [Dataset]. http://doi.org/10.5281/zenodo.15786767
Organization logo

Singularity image for ClimSim-Online

Explore at:
binAvailable download formats
Unique identifier
https://doi.org/10.5281/zenodo.15786767
Dataset updated
Jul 2, 2025
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Zeyuan Hu; Zeyuan Hu
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jul 1, 2025
Description

This is a singularity image for climsim-online: https://github.com/leap-stc/climsim-online

It can be used to launch E3SM-MMF climate simulations or the hybrid physics-machine-learning variants (by replacing the MMF cloud-resolving calculation with neural net) on HPC clusters that support singularity/apptainer.

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