Evaluation of WRF Model Performance for Hailstorms in Southern France Using DPR‐GPM Data

Open access funding provided by FEDER European Funds and the Junta De Castilla y León under the Research and Innovation Strategy for Smart Specialization (RIS3) of Castilla y León 2021-2027

Detalhes bibliográficos
Autores: Rivero Ordaz, Laura, García Ortega, Eduardo, Navarro, Andrés, Tapiador Fuentes, Francisco Javier, Sánchez Gómez, José Luis, Merino Suances, Andrés
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Recursos:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/25998
Acesso em linha:https://hdl.handle.net/10612/25998
Access Level:acceso abierto
Palavra-chave:Física
Hailstorms
22 Física
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spelling Evaluation of WRF Model Performance for Hailstorms in Southern France Using DPR‐GPM DataRivero Ordaz, LauraGarcía Ortega, EduardoNavarro, AndrésTapiador Fuentes, Francisco JavierSánchez Gómez, José LuisMerino Suances, AndrésFísicaHailstorms22 FísicaOpen access funding provided by FEDER European Funds and the Junta De Castilla y León under the Research and Innovation Strategy for Smart Specialization (RIS3) of Castilla y León 2021-2027[EN] Understanding and better predicting severe meteorological phenomena such as hailstorms is increasingly important because of their capacity to cause major socioeconomic losses. We analyzed seven case studies with confirmed hail on the ground. To do so, we used four microphysical parameterizations of the Weather Research and Forecasting (WRF) model (horizontal resolution 3 km) that incorporate hail formation. Predictive variables for hailstorm severity were extracted from the Dual‐Frequency Precipitation Radar‐Global Precipitation Measurement (DPR‐GPM) sensor, a novel and effective tool for monitoring extreme events. The main objective was to evaluate WRF model data by comparing them with DPR‐GPM observations during hailstorm days in southern France. For this, the SAL score was used, an object‐oriented method that robustly evaluates the simulations. To deepen the analysis, other metrics were calculated. The selection of microphysical parameterizations for simulating hail is challenging because of their specific assumptions and dependence on other model parameterizations. However, for southern France, the best parameterization for simulating maximum reflectivity in the vertical profile and vertically integrated precipitation water in the solid phase was the Milbrandt‐Yau Double‐Moment 7‐class. For vertically integrated precipitation water in the liquid phase, it was the WRF Single‐Moment 7‐class (WSM7), with WRF Double‐Moment 7‐class (WDM7) standing out in the localization of all three variables. In contrast, the NSSL 2–Moment 7‐class scheme generally showed poorer performance in hail prediction and simulation of the analyzed variables. Identifying optimal parameterizations for hailstorm prediction in southern France will enhance future simulations of extreme weather in the Mediterranean.SIJCYL (LE035P24)WileyFisica AplicadaFacultad de Veterinaria2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://hdl.handle.net/10612/25998reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónInglésinfo:eu-repo/grantAgreement/AEI/Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia /PID2022-138298OB-C21info:eu-repo/grantAgreement/AEI/Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia /PID2022-138298OB-C22info:eu-repo/grantAgreement/AEI/Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i/PID2019‐108470RB‐C22info:eu-repo/grantAgreement/AEI/Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i/PID2019-108470RB-C21http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/259982026-06-24T12:43:27Z
dc.title.none.fl_str_mv Evaluation of WRF Model Performance for Hailstorms in Southern France Using DPR‐GPM Data
title Evaluation of WRF Model Performance for Hailstorms in Southern France Using DPR‐GPM Data
spellingShingle Evaluation of WRF Model Performance for Hailstorms in Southern France Using DPR‐GPM Data
Rivero Ordaz, Laura
Física
Hailstorms
22 Física
title_short Evaluation of WRF Model Performance for Hailstorms in Southern France Using DPR‐GPM Data
title_full Evaluation of WRF Model Performance for Hailstorms in Southern France Using DPR‐GPM Data
title_fullStr Evaluation of WRF Model Performance for Hailstorms in Southern France Using DPR‐GPM Data
title_full_unstemmed Evaluation of WRF Model Performance for Hailstorms in Southern France Using DPR‐GPM Data
title_sort Evaluation of WRF Model Performance for Hailstorms in Southern France Using DPR‐GPM Data
dc.creator.none.fl_str_mv Rivero Ordaz, Laura
García Ortega, Eduardo
Navarro, Andrés
Tapiador Fuentes, Francisco Javier
Sánchez Gómez, José Luis
Merino Suances, Andrés
author Rivero Ordaz, Laura
author_facet Rivero Ordaz, Laura
García Ortega, Eduardo
Navarro, Andrés
Tapiador Fuentes, Francisco Javier
Sánchez Gómez, José Luis
Merino Suances, Andrés
author_role author
author2 García Ortega, Eduardo
Navarro, Andrés
Tapiador Fuentes, Francisco Javier
Sánchez Gómez, José Luis
Merino Suances, Andrés
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Fisica Aplicada
Facultad de Veterinaria
dc.subject.none.fl_str_mv Física
Hailstorms
22 Física
topic Física
Hailstorms
22 Física
description Open access funding provided by FEDER European Funds and the Junta De Castilla y León under the Research and Innovation Strategy for Smart Specialization (RIS3) of Castilla y León 2021-2027
publishDate 2025
dc.date.none.fl_str_mv 2025
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/10612/25998
url https://hdl.handle.net/10612/25998
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia /PID2022-138298OB-C21
info:eu-repo/grantAgreement/AEI/Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia /PID2022-138298OB-C22
info:eu-repo/grantAgreement/AEI/Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i/PID2019‐108470RB‐C22
info:eu-repo/grantAgreement/AEI/Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i/PID2019-108470RB-C21
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Universidad de León
instname_str Universidad de León
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812455

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