Published January 28, 2025 | Version 2.0.0
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OpenRainER

  • 1. ROR icon Agenzia Regionale Prevenzione e Ambiente della Regione Emilia-Romagna
  • 2. ROR icon Ca' Foscari University of Venice
  • 3. ROR icon Institute of Atmospheric Sciences and Climate
  • 4. ROR icon University of Bologna

Description

OpenRainER is an open-source dataset containing two years of data (2021 and 2022) from both conventional sensors (CS), such as radars and rain gauges from Arpae-SIMC, and opportunistic sensors (OS), in this case Commercial Microwave Links (CML) from the Lepida ScpA (Bologna, IT) network. Following the OpenSense community recommendations, the dataset is released under a Creative Commons license (CC-BY 4.0). This will promote scientific research about OS and encourage the exploitation of CML as a source for rainfall data. OpenRainER offers the opportunity to serve as benchmark dataset for CML retrieval algorithms and validation techniques over long periods and complex terrain.

Files

README.txt

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Additional details

Dates

Created
2024-02-02
Version 1.0
Updated
2025-01-01
Version 2.0

References

  • [1] OpenSense COST Action CA20136 Opportunistic precipitation sensing network, https://opensenseaction.eu/, 2021-2025
  • [2] Roversi, G., Alberoni, P. P., Fornasiero, A., and Porcù, F.: Commercial microwave links as a tool for operational rainfall monitoring in Northern Italy, Atmos. Meas. Tech., 13, 5779–5797, https://doi.org/10.5194/amt-13-5779-2020, 2020
  • [3] Nebuloni, R.; Cazzaniga, G.; D'Amico, M.; Deidda, C.; De Michele, C. Comparison of CML Rainfall Data against Rain Gauges and Disdrometers in a Mountainous Environment. Sensors, 22, 3218. https://doi.org/10.3390/s22093218, 2022
  • [4] Christian Chwala, Maximilian Graf, Julius Polz, Nico Blettner, DanSereb, eoydvin, keis-f, & yboose. (2024). pycomlink/pycomlink: v0.4.1 (0.4.1a). Zenodo. https://doi.org/10.5281/zenodo.14181846