Local wind speed forecasting based on WRF-HDWind coupling

Wind speed forecasts obtained by Numerical Weather Prediction models are limited for fine interpretation in heterogeneous terrain, in which different roughnesses and orographies occur. This limitation is derived from the use of low-resolution and grid-box averaged data. In this paper a dynamical dow...

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Detalles Bibliográficos
Autores: Prieto-Herráez, Diego, Frías Paredes, Laura, Cascón, J. Manuel, Lagüela, Susana, Gastón Romeo, Martín, Asensio, María Isabel, Martín Nieto, Ignacio, Fernandes Correia, Pedro Miguel, Laiz-Alonso, Pablo, Carrasco-Díaz, O. F., Sáez Blázquez, Cristina, Hernández, Erwin, Ferragut, Luis, González-Aguilera, Diego
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Institución:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/52528
Acceso en línea:https://hdl.handle.net/2454/52528
Access Level:acceso abierto
Palabra clave:Wind speed forecasting
WRF
HDWind
Dynamical downscaling
Local wind adjustment
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spelling Local wind speed forecasting based on WRF-HDWind couplingPrieto-Herráez, DiegoFrías Paredes, LauraCascón, J. ManuelLagüela, SusanaGastón Romeo, MartínAsensio, María IsabelMartín Nieto, IgnacioFernandes Correia, Pedro MiguelLaiz-Alonso, PabloCarrasco-Díaz, O. F.Sáez Blázquez, CristinaHernández, ErwinFerragut, LuisGonzález-Aguilera, DiegoWind speed forecastingWRFHDWindDynamical downscalingLocal wind adjustmentWind speed forecasts obtained by Numerical Weather Prediction models are limited for fine interpretation in heterogeneous terrain, in which different roughnesses and orographies occur. This limitation is derived from the use of low-resolution and grid-box averaged data. In this paper a dynamical downscaling method is presented to increase the local accuracy of wind speed forecasts. The proposed method divides the wind speed forecasting into two steps. In the first one, the mesoscale model WRF (Weather Research and Forecasting) is used for getting wind speed forecasts at specific points of the study domain. On a second stage, these values are used for feeding the HDWind microscale model. HDWind is a local model that provides both a high-resolution wind field that covers the entire study domain and values of wind speed and direction at very located points. As an example of use of the proposed method, we calculate a high-resolution wind field in an urban-interface area from Badajoz, a South-West Spanish city located near the Portugal border. The results obtained are compared with the values read by a weathervane tower of the Spanish State Meteorological Agency (AEMET) in order to prove that the microscale model improves the forecasts obtained by the mesoscale model.This work has been supported by the Ministerio de Ciencia, Innovación y Universidades, Grant contract: RTC-2017-6635-3, and by the University of Salamanca General Foundation, Grant contract: PC_TCUE15-17_F2_02ElsevierEstadística, Informática y MatemáticasEstatistika, Informatika eta Matematika2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2454/52528reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RTC-2017-6635-3© 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/525282026-06-17T12:41:47Z
dc.title.none.fl_str_mv Local wind speed forecasting based on WRF-HDWind coupling
title Local wind speed forecasting based on WRF-HDWind coupling
spellingShingle Local wind speed forecasting based on WRF-HDWind coupling
Prieto-Herráez, Diego
Wind speed forecasting
WRF
HDWind
Dynamical downscaling
Local wind adjustment
title_short Local wind speed forecasting based on WRF-HDWind coupling
title_full Local wind speed forecasting based on WRF-HDWind coupling
title_fullStr Local wind speed forecasting based on WRF-HDWind coupling
title_full_unstemmed Local wind speed forecasting based on WRF-HDWind coupling
title_sort Local wind speed forecasting based on WRF-HDWind coupling
dc.creator.none.fl_str_mv Prieto-Herráez, Diego
Frías Paredes, Laura
Cascón, J. Manuel
Lagüela, Susana
Gastón Romeo, Martín
Asensio, María Isabel
Martín Nieto, Ignacio
Fernandes Correia, Pedro Miguel
Laiz-Alonso, Pablo
Carrasco-Díaz, O. F.
Sáez Blázquez, Cristina
Hernández, Erwin
Ferragut, Luis
González-Aguilera, Diego
author Prieto-Herráez, Diego
author_facet Prieto-Herráez, Diego
Frías Paredes, Laura
Cascón, J. Manuel
Lagüela, Susana
Gastón Romeo, Martín
Asensio, María Isabel
Martín Nieto, Ignacio
Fernandes Correia, Pedro Miguel
Laiz-Alonso, Pablo
Carrasco-Díaz, O. F.
Sáez Blázquez, Cristina
Hernández, Erwin
Ferragut, Luis
González-Aguilera, Diego
author_role author
author2 Frías Paredes, Laura
Cascón, J. Manuel
Lagüela, Susana
Gastón Romeo, Martín
Asensio, María Isabel
Martín Nieto, Ignacio
Fernandes Correia, Pedro Miguel
Laiz-Alonso, Pablo
Carrasco-Díaz, O. F.
Sáez Blázquez, Cristina
Hernández, Erwin
Ferragut, Luis
González-Aguilera, Diego
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Estadística, Informática y Matemáticas
Estatistika, Informatika eta Matematika
dc.subject.none.fl_str_mv Wind speed forecasting
WRF
HDWind
Dynamical downscaling
Local wind adjustment
topic Wind speed forecasting
WRF
HDWind
Dynamical downscaling
Local wind adjustment
description Wind speed forecasts obtained by Numerical Weather Prediction models are limited for fine interpretation in heterogeneous terrain, in which different roughnesses and orographies occur. This limitation is derived from the use of low-resolution and grid-box averaged data. In this paper a dynamical downscaling method is presented to increase the local accuracy of wind speed forecasts. The proposed method divides the wind speed forecasting into two steps. In the first one, the mesoscale model WRF (Weather Research and Forecasting) is used for getting wind speed forecasts at specific points of the study domain. On a second stage, these values are used for feeding the HDWind microscale model. HDWind is a local model that provides both a high-resolution wind field that covers the entire study domain and values of wind speed and direction at very located points. As an example of use of the proposed method, we calculate a high-resolution wind field in an urban-interface area from Badajoz, a South-West Spanish city located near the Portugal border. The results obtained are compared with the values read by a weathervane tower of the Spanish State Meteorological Agency (AEMET) in order to prove that the microscale model improves the forecasts obtained by the mesoscale model.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/52528
url https://hdl.handle.net/2454/52528
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RTC-2017-6635-3
dc.rights.none.fl_str_mv © 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0
https://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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