NianRan1/HR-Extreme

HR-Extreme Dataset (ICLR 2025) Overview HR-Extreme is a dataset containing high-resolution feature maps of physical variables for evaluating the performance of cutting-edge models on extreme weather prediction. This dataset focuses on 17 types of extreme weather events spanning the year 2020, based on HRRR data. The dataset is designed to support researchers in weather forecasting, ranging from physical methods to deep learning techniques. Full paper link… See the full description on the dataset page: https://huggingface.co/datasets/NianRan1/HR-Extreme.

<iframe src="https://silytics.si/embed/item/ed7fb550-f36d-4940-8e8e-e1e4d07fdb96" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.