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
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
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) |
_version_ | 1807522889118777344 |
---|---|
author | Cazes Boezio, Gabriel |
author2 | Orteli, Sofía |
author2_role | author |
author_facet | Cazes Boezio, Gabriel Orteli, Sofía |
author_role | author |
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bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 MD5 MD5 MD5 |
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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 |
format | article |
id | COLIBRI_6f749d6140364456ee8ecc94a2ed696e |
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 |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/27063 |
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 |