meteolibre-dev/global_sat_metar_v2

Global GMGSI + METAR Patches (v2) Dense global satellite imagery (GMGSI, 4 channels, 0.1° / ~9 km, hourly) paired with sparse global METAR station observations rasterized onto the same 3600×1800 grid, sliced into 128×128 spatial patches with a 7-frame hourly temporal context. Designed as a self-supervised / supervised pre-training corpus for weather foundation models that need to jointly see geostationary satellite fields and ground-truth in-situ observations. This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/meteolibre-dev/global_sat_metar_v2.

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