{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T19:12:53Z","timestamp":1768590773590,"version":"3.49.0"},"reference-count":45,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2022,10,9]],"date-time":"2022-10-09T00:00:00Z","timestamp":1665273600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Spanish Government","award":["GL2015-65627-C3-1-R"],"award-info":[{"award-number":["GL2015-65627-C3-1-R"]}]},{"name":"the Spanish Government","award":["CGL2015-65627-C3-2-R (MINECO\/FEDER)"],"award-info":[{"award-number":["CGL2015-65627-C3-2-R (MINECO\/FEDER)"]}]},{"name":"the Spanish Government","award":["CGL2016-81828-REDT"],"award-info":[{"award-number":["CGL2016-81828-REDT"]}]},{"name":"the Spanish Government","award":["RTI2018-098693-B-C32 (AEI\/FEDER)"],"award-info":[{"award-number":["RTI2018-098693-B-C32 (AEI\/FEDER)"]}]},{"name":"the Water Research Institute (IdRA) of the University of Barcelona","award":["GL2015-65627-C3-1-R"],"award-info":[{"award-number":["GL2015-65627-C3-1-R"]}]},{"name":"the Water Research Institute (IdRA) of the University of Barcelona","award":["CGL2015-65627-C3-2-R (MINECO\/FEDER)"],"award-info":[{"award-number":["CGL2015-65627-C3-2-R (MINECO\/FEDER)"]}]},{"name":"the Water Research Institute (IdRA) of the University of Barcelona","award":["CGL2016-81828-REDT"],"award-info":[{"award-number":["CGL2016-81828-REDT"]}]},{"name":"the Water Research Institute (IdRA) of the University of Barcelona","award":["RTI2018-098693-B-C32 (AEI\/FEDER)"],"award-info":[{"award-number":["RTI2018-098693-B-C32 (AEI\/FEDER)"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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 &lt; 0.1 m\/s, RMSE \u2248 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.<\/jats:p>","DOI":"10.3390\/rs14195023","type":"journal-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T03:07:28Z","timestamp":1665371248000},"page":"5023","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5560-4392","authenticated-orcid":false,"given":"Albert","family":"Garcia-Benadi","sequence":"first","affiliation":[{"name":"SARTI, Universitat Polit\u00e8cnica de Catalunya, 08800 Vilanova i la Geltr\u00fa, Spain"},{"name":"Department of Applied Physics\u2014Meteorology, University of Barcelona, 08028 Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3597-7439","authenticated-orcid":false,"given":"Joan","family":"Bech","sequence":"additional","affiliation":[{"name":"Department of Applied Physics\u2014Meteorology, University of Barcelona, 08028 Barcelona, Spain"},{"name":"Water Research Institute, University of Barcelona, 08007 Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8024-3293","authenticated-orcid":false,"given":"Mireia","family":"Udina","sequence":"additional","affiliation":[{"name":"Department of Applied Physics\u2014Meteorology, University of Barcelona, 08028 Barcelona, Spain"}]},{"given":"Bernard","family":"Campistron","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019A\u00e9rologie Universit\u00e9 Paul Sabatier, 31400 Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7917-8711","authenticated-orcid":false,"given":"Alexandre","family":"Paci","sequence":"additional","affiliation":[{"name":"CNRM, University of Toulouse, METEO-FRANCE, CNRS, 38400 Toulouse, France"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Bech, J., and Chau, J. 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