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[2602.15088] IT-DPC-SRI: A Cloud-Optimized Archive of Italian Radar Precipitation (2010-2025)
Summary
The article presents IT-DPC-SRI, a comprehensive cloud-optimized archive of Italian radar precipitation data from 2010 to 2025, addressing historical data fragmentation.
Why It Matters
This dataset provides a significant resource for meteorological research and climate studies in Europe, filling a gap in radar data availability and enabling improved weather forecasting and analysis.
Key Takeaways
- IT-DPC-SRI offers a unified archive of Italian radar precipitation data spanning 16 years.
- The dataset is compressed from 7TB to 51GB, making it accessible and efficient for researchers.
- It addresses the historical fragmentation of radar data in Italy, providing a coherent data format.
- The archive is available on multiple platforms, including Zenodo and the ECMWF European Weather Cloud.
- Released under a CC BY-SA 4.0 license, it promotes open access to valuable meteorological data.
Physics > Atmospheric and Oceanic Physics arXiv:2602.15088 (physics) [Submitted on 16 Feb 2026] Title:IT-DPC-SRI: A Cloud-Optimized Archive of Italian Radar Precipitation (2010-2025) Authors:Gabriele Franch, Elena Tomasi, Uladzislau Azhel, Giacomo Tomezzoli, Alessandro Camilletti, Virginia Poli, Renata Pelosini, Gianfranco Vulpiani, Gabriella Scipione, Giuseppe Trotta, Matteo Angelinelli, Leif Denby, Irene Livia Kruse, Marco Cristoforetti View a PDF of the paper titled IT-DPC-SRI: A Cloud-Optimized Archive of Italian Radar Precipitation (2010-2025), by Gabriele Franch and 13 other authors View PDF HTML (experimental) Abstract:We present IT-DPC-SRI, the first publicly available long-term archive of Italian weather radar precipitation estimates, spanning 16 years (2010--2025). The dataset contains Surface Rainfall Intensity (SRI) observations from the Italian Civil Protection Department's national radar mosaic, harmonized into a coherent Analysis-Ready Cloud-Optimized (ARCO) Zarr datacube. The archive comprises over one million timesteps at temporal resolutions from 15 to 5 minutes, covering a $1200\times1400$ kilometer domain at 1 kilometer spatial resolution, compressed from 7TB to 51GB on disk. We address the historical fragmentation of Italian radar data - previously scattered across heterogeneous formats (OPERA BUFR, HDF5, GeoTIFF) with varying spatial domains and projections - by reprocessing the entire record into a unified store. The dataset is accessible as a static...
