The spatial and temporal variability of ocean wind waves plays an important role in many engineering and environmental problems. Although research in this area has been improved in recent decades thanks to the emergence of satellite data, in many cases this information does not have the appropriate...

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Fecha de publicación:
2014
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/1414
Acceso en línea:
http://hdl.handle.net/11407/1414
Palabra clave:
Caribbean Sea
Wind conditions
Wind speed
accuracy assessment
buoy system
climate prediction
error correction
marine atmosphere
satellite data
spatiotemporal analysis
wave modeling
wind velocity
wind wave
Atlantic Ocean
Caribbean Sea
Colombia
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restrictedAccess
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http://purl.org/coar/access_right/c_16ec
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oai_identifier_str oai:repository.udem.edu.co:11407/1414
network_acronym_str REPOUDEM2
network_name_str Repositorio UDEM
repository_id_str
spelling 2015-10-09T13:18:28Z2015-10-09T13:18:28Z20147390572http://hdl.handle.net/11407/141410.1175/JTECH-D-13-00124.1The spatial and temporal variability of ocean wind waves plays an important role in many engineering and environmental problems. Although research in this area has been improved in recent decades thanks to the emergence of satellite data, in many cases this information does not have the appropriate resolution for more detailed and local research. In view of this, reanalysis data developed by several meteorological agencies have appeared as a good alternative to force the most popular ocean wind-wave models. Thus, to achieve more accuracy in the data, the 60-yr Global Atmospheric Reanalysis 1 carried out by the National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP-NCAR) has been corrected, employing the vector correlation and triple collocation theories combined with information from different accurate sources. The comparison of wind speed with satellite and in situ buoy data before correction reveals an important underestimation for areas near the Colombian coast. The wind speed root-mean-square error (RMSE) between corrected data and satellite measurements at locations near the Colombian Caribbean coast without calibration is 3.8ms-1 while for corrected data it is 2.0ms-1, showing a decrease in the RMSE of almost 47%. For significant wave height for buoy 41194 (Barranquilla, Colombia), the RMSE between the modeled data and measurements without correction is 0.99 m, while for the corrected data it is 0.40 m, showing a decrease in the RMSE of almost 55%. The results obtained clearly show an increase in the accuracy of the calibrated wind speed. © 2014 American Meteorological Society.engAmerican Meteorological Societyhttp://journals.ametsoc.org/doi/abs/10.1175/JTECH-D-13-00124.1Journal of Atmospheric and Oceanic Technology, septiembre de 2014, volume 31, issue 9, pp 1922-1945ScopusArticleinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/access_right/c_16ecUniversidad de Medellín, Medellín, ColombiaGrupo de Investigación en Oceanografía e Ingeniería Costeras, Universidad Nacional de Colombia, Medellín, ColombiaMontoya R.D.Osorio A.F.Caribbean SeaWind conditionsWind speedaccuracy assessmentbuoy systemclimate predictionerror correctionmarine atmospheresatellite dataspatiotemporal analysiswave modelingwind velocitywind waveAtlantic OceanCaribbean SeaColombiaMethodology to correct wind speed during average wind conditions: Application to the Caribbean Sea11407/1414oai:repository.udem.edu.co:11407/14142020-05-27 18:33:07.867Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co
dc.title.english.eng.fl_str_mv Methodology to correct wind speed during average wind conditions: Application to the Caribbean Sea
dc.contributor.affiliation.spa.fl_str_mv Universidad de Medellín, Medellín, Colombia
Grupo de Investigación en Oceanografía e Ingeniería Costeras, Universidad Nacional de Colombia, Medellín, Colombia
dc.subject.keyword.eng.fl_str_mv Caribbean Sea
Wind conditions
Wind speed
accuracy assessment
buoy system
climate prediction
error correction
marine atmosphere
satellite data
spatiotemporal analysis
wave modeling
wind velocity
wind wave
Atlantic Ocean
Caribbean Sea
Colombia
topic Caribbean Sea
Wind conditions
Wind speed
accuracy assessment
buoy system
climate prediction
error correction
marine atmosphere
satellite data
spatiotemporal analysis
wave modeling
wind velocity
wind wave
Atlantic Ocean
Caribbean Sea
Colombia
spellingShingle Caribbean Sea
Wind conditions
Wind speed
accuracy assessment
buoy system
climate prediction
error correction
marine atmosphere
satellite data
spatiotemporal analysis
wave modeling
wind velocity
wind wave
Atlantic Ocean
Caribbean Sea
Colombia
description The spatial and temporal variability of ocean wind waves plays an important role in many engineering and environmental problems. Although research in this area has been improved in recent decades thanks to the emergence of satellite data, in many cases this information does not have the appropriate resolution for more detailed and local research. In view of this, reanalysis data developed by several meteorological agencies have appeared as a good alternative to force the most popular ocean wind-wave models. Thus, to achieve more accuracy in the data, the 60-yr Global Atmospheric Reanalysis 1 carried out by the National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP-NCAR) has been corrected, employing the vector correlation and triple collocation theories combined with information from different accurate sources. The comparison of wind speed with satellite and in situ buoy data before correction reveals an important underestimation for areas near the Colombian coast. The wind speed root-mean-square error (RMSE) between corrected data and satellite measurements at locations near the Colombian Caribbean coast without calibration is 3.8ms-1 while for corrected data it is 2.0ms-1, showing a decrease in the RMSE of almost 47%. For significant wave height for buoy 41194 (Barranquilla, Colombia), the RMSE between the modeled data and measurements without correction is 0.99 m, while for the corrected data it is 0.40 m, showing a decrease in the RMSE of almost 55%. The results obtained clearly show an increase in the accuracy of the calibrated wind speed. © 2014 American Meteorological Society.
publishDate 2014
dc.date.created.none.fl_str_mv 2014
dc.date.accessioned.none.fl_str_mv 2015-10-09T13:18:28Z
dc.date.available.none.fl_str_mv 2015-10-09T13:18:28Z
dc.type.eng.fl_str_mv Article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.identifier.issn.none.fl_str_mv 7390572
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/1414
dc.identifier.doi.none.fl_str_mv 10.1175/JTECH-D-13-00124.1
identifier_str_mv 7390572
10.1175/JTECH-D-13-00124.1
url http://hdl.handle.net/11407/1414
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.isversionof.spa.fl_str_mv http://journals.ametsoc.org/doi/abs/10.1175/JTECH-D-13-00124.1
dc.relation.ispartofen.eng.fl_str_mv Journal of Atmospheric and Oceanic Technology, septiembre de 2014, volume 31, issue 9, pp 1922-1945
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.publisher.spa.fl_str_mv American Meteorological Society
dc.source.spa.fl_str_mv Scopus
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
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