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ClimateAI: Climate Intelligence Framework

๐Ÿ“‘ Paper    |    ๐ŸŒ Project Page    |    ๐Ÿ’พ Released Resources    |    ๐Ÿ“ฆ Repo

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Dataset

Dataset Link
ClimateAI-ERA5-Downscale ๐Ÿค—
Please also check the raw data after our processing if you are interested: [WeatherML/ClimateAI-ERA5-Raw](https://huggingface.co/datasets/WeatherML/ClimateAI-ERA5-Raw).

Models

Base Model / Training ClimateAI ClimateAI++
Stage 1 Stage 2 Stage 1 Stage 2
Pangu-Weather Base ๐Ÿค— ๐Ÿค— ๐Ÿค— ๐Ÿค—
GraphCast 1deg ๐Ÿค— ๐Ÿค— ๐Ÿค— ๐Ÿค—
FourCastNet v2 ๐Ÿค— ๐Ÿค— ๐Ÿค— ๐Ÿค—

Introduction

While having high-resolution climate reanalysis data theoretically enables accurate weather predictions, two challenges arise: 1) The computational cost of running full physics simulations at high resolution is prohibitive; 2) Traditional numerical weather prediction models are constrained by simplified parameterizations and lack the adaptability of ML-based approaches. Thus, we adopt a fully transformer-based approach for downscaling climate data using Pangu-Weather architecture, as it has demonstrated state-of-the-art performance on medium-range forecasting while being computationally efficient.

*Due to data licensing constraints from ECMWF, we only release the ERA5-Downscale subset (this page) of the full dataset.

License

The license for this dataset is CC-BY-NC-SA-4.0.

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