2026-04-13T04:14:14Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1916132025-11-19T11:00:11Zcom_2072_1057col_2072_478821col_2072_478917

00925njm 22002777a 4500 dc Garcia Benadi, Albert author Bech, Joan author Udina Sistach, Mireia author Campistron, Bernard author Paci, Alexandre author 2022-12-15T18:15:39Z 2022-12-15T18:15:39Z 2022 2022-12-15T18:15:40Z A methodology to process radar wind profiler Doppler spectra is presented and implemented for an UHF Degreane PCL1300 system. First, double peak signal detection is conducted at each height level and, then, vertical continuity checks for each radar beam ensure physically consistent measurements. Second, horizontal and vertical wind, kinetic energy flux components, Doppler moments, and different precipitation-related variables are computed. The latter include a new precipitation type estimate, which considers rain, snow, and mixed types, and, finally, specific variables for liquid precipitation, including drop size distribution parameters, liquid water content and rainfall rate. The methodology is illustrated with a 48 h precipitation event, recorded during the Cerdanya-2017 field campaign, carried out in the Eastern Pyrenees. Verification is performed with a previously existing process for wind profiler data regarding wind components, plus precipitation estimates derived from Micro Rain Radar and disdrometer observations. The results indicated that the new methodology produced comparable estimates of wind components to the previous methodology (Bias < 0.1 m/s, RMSE ≈ 1.1 m/s), and was skilled in determining precipitation type when comparing the lowest estimate of disdrometer data for snow and rain, but did not correctly identify mixed precipitation cases. The proposed methodology, called UBWPP, is available at the GitHub repository. Radar Efecte de Doppler Vents Radar Doppler effect Winds Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra