Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra

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. Sec...

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Detalles Bibliográficos
Autores: Garcia Benadi, Albert, Bech, Joan, Udina Sistach, Mireia, Campistron, Bernard, Paci, Alexandre
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/191613
Acceso en línea:https://hdl.handle.net/2445/191613
Access Level:acceso abierto
Palabra clave:Radar
Efecte de Doppler
Vents
Doppler effect
Winds
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spelling Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler SpectraGarcia Benadi, AlbertBech, JoanUdina Sistach, MireiaCampistron, BernardPaci, AlexandreRadarEfecte de DopplerVentsRadarDoppler effectWindsA 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.MDPI2022202220222022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion23 p.application/pdfapplication/pdfhttps://hdl.handle.net/2445/191613Articles publicats en revistes (Física Aplicada)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.3390/rs14195023Remote Sensing, 2022, vol. 14, num. 19, p. 1-23https://doi.org/10.3390/rs14195023cc-by (c) Garcia Benadi, Albert et al., 2022https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1916132026-05-29T05:05:01Z
dc.title.none.fl_str_mv Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra
title Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra
spellingShingle Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra
Garcia Benadi, Albert
Radar
Efecte de Doppler
Vents
Radar
Doppler effect
Winds
title_short Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra
title_full Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra
title_fullStr Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra
title_full_unstemmed Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra
title_sort Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra
dc.creator.none.fl_str_mv Garcia Benadi, Albert
Bech, Joan
Udina Sistach, Mireia
Campistron, Bernard
Paci, Alexandre
author Garcia Benadi, Albert
author_facet Garcia Benadi, Albert
Bech, Joan
Udina Sistach, Mireia
Campistron, Bernard
Paci, Alexandre
author_role author
author2 Bech, Joan
Udina Sistach, Mireia
Campistron, Bernard
Paci, Alexandre
author2_role author
author
author
author
dc.subject.none.fl_str_mv Radar
Efecte de Doppler
Vents
Radar
Doppler effect
Winds
topic Radar
Efecte de Doppler
Vents
Radar
Doppler effect
Winds
description 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.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/191613
url https://hdl.handle.net/2445/191613
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.3390/rs14195023
Remote Sensing, 2022, vol. 14, num. 19, p. 1-23
https://doi.org/10.3390/rs14195023
dc.rights.none.fl_str_mv cc-by (c) Garcia Benadi, Albert et al., 2022
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by (c) Garcia Benadi, Albert et al., 2022
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 23 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Articles publicats en revistes (Física Aplicada)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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