Omkar2118/datasets huggingface dataset:
MIARAD Dataset

* 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.

Introducing paper: GPTCast: a weather language model for precipitation nowcasting