| task_categories: | |
| - image-segmentation | |
| license: mit | |
| tags: | |
| - climate | |
| - satellite imagery | |
| # ClimateBench-M: A Multi-modal Climate Data Benchmark | |
| [**📖 Paper**](https://arxiv.org/abs/2404.00225) | |
| ClimateBench-M is the first multi-modal climate benchmark designed to support the development of artificial general intelligence (AGI) in climate applications. It aligns data across three critical modalities at a unified spatio-temporal resolution: | |
| 1. Time-series climate variables from ERA5. | |
| 2. Extreme weather event records from NOAA. | |
| 3. Satellite imagery from NASA HLS. | |
| This dataset is used in the paper: https://huggingface.co/papers/2504.07394. | |
| To facilitate broad accessibility and reproducibility, **ClimateBench-M** is hosted on [🤗 Hugging Face Datasets](https://huggingface.co/docs/datasets/index). Due to its size and multi-modal nature, the dataset is split into two parts: | |
| - ClimateBench-M-TS: Climate time series with extreme events aligned and labeled. | |
| - ClimateBench-M-IMG: Satellite imagery data |