Datasets › MIARAD Dataset

MIARAD Dataset

Introduced by Gabriele Franch et al. in GPTCast: a weather language model for precipitation nowcasting2 Jul 2024 archive 2025-07-28

  • Source: Radar reflectivity data from the HydroMeteorological Service of Arpae (Emilia-Romagna, Italy).
  • Geographical Coverage: Emilia-Romagna region, including flat Po Valley, the Apennines, and coastal areas.
  • Time Period: 6 years (2015–2020).
  • Data Resolution:
  • Temporal: Scans taken every 5 minutes.
  • Spatial: 1 km grid resolution.
  • Area covered: 125 km radius per scan, covering a total of 71,172 square km.
  • Reflectivity Range: 0 to 60 dBZ, clipped from an original range of -20 dBZ to 60 dBZ.
  • Total Time Steps: 630,720 time steps in total.
  • Precipitating Events: 179,264 time steps representing precipitating sequences.
  • Non-precipitating Data: 71.5% of the data was discarded (non-precipitating).
  • Dataset Split: -Training: 149,524 time steps. -Validation: 7,869 time steps.
  • Test Sets: -Tokenizer Test Set (TTS): 21,871 radar images, focusing on extreme events. -Forecaster Test Set (FTS): 1,450 time steps from 10 selected extreme weather events (12 hours each).
  • Data Augmentation: Random cropping, 90-degree rotations, and flipping applied during training.
  • Reflectivity to Rainfall Conversion: Standard Marshall-Palmer Z-R relationship used for rain-rate estimation (mm/h).

This dataset supports the development and evaluation of the GPTCast model for radar-based precipitation nowcasting.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

Creative Commons Attribution 4.0 International

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • MIARAD Dataset

1 variant name, as the archive lists them.

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