{"url":"/dataset/miarad-dataset","name":"MIARAD Dataset","full_name":null,"description_markdown":"* Source: Radar reflectivity data from the HydroMeteorological Service of Arpae (Emilia-Romagna, Italy).\r\n* Geographical Coverage: Emilia-Romagna region, including flat Po Valley, the Apennines, and coastal areas.\r\n* Time Period: 6 years (2015–2020).\r\n* Data Resolution:\r\n* Temporal: Scans taken every 5 minutes.\r\n* Spatial: 1 km grid resolution.\r\n* Area covered: 125 km radius per scan, covering a total of 71,172 square km.\r\n* Reflectivity Range: 0 to 60 dBZ, clipped from an original range of -20 dBZ to 60 dBZ.\r\n* Total Time Steps: 630,720 time steps in total.\r\n* Precipitating Events: 179,264 time steps representing precipitating sequences.\r\n* Non-precipitating Data: 71.5% of the data was discarded (non-precipitating).\r\n* Dataset Split:\r\n-Training: 149,524 time steps.\r\n-Validation: 7,869 time steps.\r\n* Test Sets:\r\n-Tokenizer Test Set (TTS): 21,871 radar images, focusing on extreme events.\r\n-Forecaster Test Set (FTS): 1,450 time steps from 10 selected extreme weather events (12 hours each).\r\n* Data Augmentation: Random cropping, 90-degree rotations, and flipping applied during training.\r\n* Reflectivity to Rainfall Conversion: Standard Marshall-Palmer Z-R relationship used for rain-rate estimation (mm/h).\r\n\r\nThis dataset supports the development and evaluation of the GPTCast model for radar-based precipitation nowcasting.","description_withheld":null,"homepage":"https://doi.org/10.5281/zenodo.13692016","introduced_date":"2024-07-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/gptcast-a-weather-language-model-for","title":"GPTCast: a weather language model for precipitation nowcasting","first_author":"Gabriele Franch","url":null},"license":{"name":"Creative Commons Attribution 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[],"languages":[],"variants":["MIARAD Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}