Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay

Cazes Boezio, Gabriel - Orteli, Sofía

Resumen:

This work assessed the quality of wind speed estimates in Uruguay. These estimates were obtained using the Weather Research and Forecast Model Data Assimilation System (WRF-DA) to assimilate wind speed measurements from 100 m above the ground at two wind farms. The quality of the estimates was assessed with an anemometric station placed between the wind farms. The wind speed estimates showed low systematic errors at heights of 87 and 36 m above the ground. At both levels, the standard deviation of the total errors was approximately 25% of the mean observed speed. These results suggested that the estimates obtained could be of sufficient quality to be useful in various applications. The assimilation process proved to be effective, spreading the observational gain obtained at the wind farms to lower elevations than those at which the assimilated measurements were taken. The smooth topography of Uruguay might have contributed to the relatively good quality of the obtained wind estimates, although the data of only two stations were assimilated, and the resolution of the regional atmospheric simulations employed was relatively low


Detalles Bibliográficos
2019
Data assimilation
3D-Var
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/27063
Acceso abierto
Licencia Creative Commons Atribución (CC - By 4.0)
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author Cazes Boezio, Gabriel
author2 Orteli, Sofía
author2_role author
author_facet Cazes Boezio, Gabriel
Orteli, Sofía
author_role author
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collection COLIBRI
dc.contributor.filiacion.none.fl_str_mv Cazes Boezio Gabriel, Universidad de la República (Uruguay). Facultad de Ingeniería.
Orteli Sofía, Universidad de la República (Uruguay). Facultad de Ingeniería.
dc.coverage.spatial.es.fl_str_mv Uruguay
dc.creator.none.fl_str_mv Cazes Boezio, Gabriel
Orteli, Sofía
dc.date.accessioned.none.fl_str_mv 2021-04-13T16:25:04Z
dc.date.available.none.fl_str_mv 2021-04-13T16:25:04Z
dc.date.issued.none.fl_str_mv 2019
dc.description.abstract.none.fl_txt_mv This work assessed the quality of wind speed estimates in Uruguay. These estimates were obtained using the Weather Research and Forecast Model Data Assimilation System (WRF-DA) to assimilate wind speed measurements from 100 m above the ground at two wind farms. The quality of the estimates was assessed with an anemometric station placed between the wind farms. The wind speed estimates showed low systematic errors at heights of 87 and 36 m above the ground. At both levels, the standard deviation of the total errors was approximately 25% of the mean observed speed. These results suggested that the estimates obtained could be of sufficient quality to be useful in various applications. The assimilation process proved to be effective, spreading the observational gain obtained at the wind farms to lower elevations than those at which the assimilated measurements were taken. The smooth topography of Uruguay might have contributed to the relatively good quality of the obtained wind estimates, although the data of only two stations were assimilated, and the resolution of the regional atmospheric simulations employed was relatively low
dc.format.extent.es.fl_str_mv 1-16
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv Cazes Boezio, G. y Orteli, S. "Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay". Data. [en línea]. 2019, vol. 4, no 4, pp. 1-16. DOI: 10.3390/data4040142
dc.identifier.doi.none.fl_str_mv 10.3390/data4040142
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/27063
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv MDPI
dc.relation.ispartof.es.fl_str_mv Data, vol. 4, no 4, pp. 1-16, oct 2019
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución (CC - By 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.en.fl_str_mv Data assimilation
dc.subject.es.fl_str_mv 3D-Var
dc.title.none.fl_str_mv Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description This work assessed the quality of wind speed estimates in Uruguay. These estimates were obtained using the Weather Research and Forecast Model Data Assimilation System (WRF-DA) to assimilate wind speed measurements from 100 m above the ground at two wind farms. The quality of the estimates was assessed with an anemometric station placed between the wind farms. The wind speed estimates showed low systematic errors at heights of 87 and 36 m above the ground. At both levels, the standard deviation of the total errors was approximately 25% of the mean observed speed. These results suggested that the estimates obtained could be of sufficient quality to be useful in various applications. The assimilation process proved to be effective, spreading the observational gain obtained at the wind farms to lower elevations than those at which the assimilated measurements were taken. The smooth topography of Uruguay might have contributed to the relatively good quality of the obtained wind estimates, although the data of only two stations were assimilated, and the resolution of the regional atmospheric simulations employed was relatively low
eu_rights_str_mv openAccess
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identifier_str_mv Cazes Boezio, G. y Orteli, S. "Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay". Data. [en línea]. 2019, vol. 4, no 4, pp. 1-16. DOI: 10.3390/data4040142
10.3390/data4040142
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
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publishDate 2019
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución (CC - By 4.0)
spelling Cazes Boezio Gabriel, Universidad de la República (Uruguay). Facultad de Ingeniería.Orteli Sofía, Universidad de la República (Uruguay). Facultad de Ingeniería.Uruguay2021-04-13T16:25:04Z2021-04-13T16:25:04Z2019Cazes Boezio, G. y Orteli, S. "Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay". Data. [en línea]. 2019, vol. 4, no 4, pp. 1-16. DOI: 10.3390/data4040142https://hdl.handle.net/20.500.12008/2706310.3390/data4040142This work assessed the quality of wind speed estimates in Uruguay. These estimates were obtained using the Weather Research and Forecast Model Data Assimilation System (WRF-DA) to assimilate wind speed measurements from 100 m above the ground at two wind farms. The quality of the estimates was assessed with an anemometric station placed between the wind farms. The wind speed estimates showed low systematic errors at heights of 87 and 36 m above the ground. At both levels, the standard deviation of the total errors was approximately 25% of the mean observed speed. These results suggested that the estimates obtained could be of sufficient quality to be useful in various applications. The assimilation process proved to be effective, spreading the observational gain obtained at the wind farms to lower elevations than those at which the assimilated measurements were taken. The smooth topography of Uruguay might have contributed to the relatively good quality of the obtained wind estimates, although the data of only two stations were assimilated, and the resolution of the regional atmospheric simulations employed was relatively lowSubmitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2021-04-13T04:30:41Z No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) CO19.pdf: 2668727 bytes, checksum: 51974f2b6a646932ccbdc44312ae6939 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2021-04-13T16:17:37Z (GMT) No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) CO19.pdf: 2668727 bytes, checksum: 51974f2b6a646932ccbdc44312ae6939 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@fic.edu.uy) on 2021-04-13T16:25:04Z (GMT). No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) CO19.pdf: 2668727 bytes, checksum: 51974f2b6a646932ccbdc44312ae6939 (MD5) Previous issue date: 20191-16application/pdfenengMDPIData, vol. 4, no 4, pp. 1-16, oct 2019Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)Data assimilation3D-VarUse of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in UruguayArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaCazes Boezio, GabrielOrteli, SofíaLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/27063/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-844http://localhost:8080/xmlui/bitstream/20.500.12008/27063/2/license_urla0ebbeafb9d2ec7cbb19d7137ebc392cMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse
spellingShingle Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay
Cazes Boezio, Gabriel
Data assimilation
3D-Var
status_str publishedVersion
title Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay
title_full Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay
title_fullStr Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay
title_full_unstemmed Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay
title_short Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay
title_sort Use of the WRF-DA 3D-Var data assimilation system to obtain wind speed estimates in regular grids from measurements at wind farms in Uruguay
topic Data assimilation
3D-Var
url https://hdl.handle.net/20.500.12008/27063