ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
Paper • 2307.01909 • Published
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Dataset Summary
Data used for ClimateLearn's benchmark experiments.
Supported Tasks
- Weather forecasting
- Statistical downscaling
- Climate projection
Additional Information
Dataset Curators
Maintained by the Machine Intelligence Group at UCLA, headed by Professor Aditya Grover. Please contact Jason Jewik at jason.jewik@ucla.edu for any questions, or open an issue on our GitHub/HuggingFace page.
Licensing Information
Citation Information
Please cite our paper: https://arxiv.org/abs/2307.01909.
Contributions
To contribute, please raise an issue on our GitHub/HuggingFace page.
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Homepage:
pypi.org
Repository:
github.com
Paper:
arxiv.org
Point of Contact:
jason.jewik@ucla.edu
Total file size:
783 GB