Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years

Detalhes bibliográficos
Autor(a) principal: Silva, Cláudio Moisés Santos e
Data de Publicação: 2013
Outros Autores: Silva, A., Oliveira, Priscilla Teles de, Lima, Kellen Carla
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/28863
https://doi.org/10.1002/asl2.468
Resumo: The aim of this work is to evaluate how the Regional Climate Model (RegCM4) is able to simulate the precipitation in Northeast Brazil (NEB). Therefore, high-resolution (grid spacing of 20 km) simulations during the autumns of 1998 and 1999 were performed. The model was able to capture regional and inter-annual differences of the precipitation in NEB. The RegCM4 simulations showed improved in the prediction concerning the intensity and spatial distribution of the rainfall, relative to the Era Interim reanalysis dataset. The experiment based on Emanuel MIT parameterization tends to overestimate the observed precipitation while the Grell experiment underestimates it.
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spelling Silva, Cláudio Moisés Santos eSilva, A.Oliveira, Priscilla Teles deLima, Kellen Carla2020-04-30T20:20:12Z2020-04-30T20:20:12Z2013-12-03SILVA, Cláudio Moisés Santos e; SILVA, A.; OLIVEIRA, P.; LIMA, K. C. Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years. Atmospheric Science Letters, [s. l.], v. 15, n. 1, p. 50-57, 3 dez. 2013. Disponível em: https://rmets.onlinelibrary.wiley.com/doi/10.1002/asl2.468. Acesso em 30 abr. 2020. http://dx.doi.org/10.1002/asl2.468.1530-261X (online)https://repositorio.ufrn.br/jspui/handle/123456789/28863https://doi.org/10.1002/asl2.468Royal Meteorological SocietyRegCM4Inter-annual variabilitySemiaridConvective parameterizationDynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting yearsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThe aim of this work is to evaluate how the Regional Climate Model (RegCM4) is able to simulate the precipitation in Northeast Brazil (NEB). Therefore, high-resolution (grid spacing of 20 km) simulations during the autumns of 1998 and 1999 were performed. The model was able to capture regional and inter-annual differences of the precipitation in NEB. The RegCM4 simulations showed improved in the prediction concerning the intensity and spatial distribution of the rainfall, relative to the Era Interim reanalysis dataset. The experiment based on Emanuel MIT parameterization tends to overestimate the observed precipitation while the Grell experiment underestimates it.engreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/28863/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/28863/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTDynamicalDownscalingPrecipitation_Silva_2013.pdf.txtDynamicalDownscalingPrecipitation_Silva_2013.pdf.txtExtracted texttext/plain33095https://repositorio.ufrn.br/bitstream/123456789/28863/4/DynamicalDownscalingPrecipitation_Silva_2013.pdf.txt6eba3b6a200b41241e88136a577a200aMD54THUMBNAILDynamicalDownscalingPrecipitation_Silva_2013.pdf.jpgDynamicalDownscalingPrecipitation_Silva_2013.pdf.jpgGenerated Thumbnailimage/jpeg1726https://repositorio.ufrn.br/bitstream/123456789/28863/5/DynamicalDownscalingPrecipitation_Silva_2013.pdf.jpg6d5d95d1645a1b23377ca2ad39f16716MD55123456789/288632022-10-17 17:48:26.418oai:https://repositorio.ufrn.br:123456789/28863Tk9OLUVYQ0xVU0lWRSBESVNUUklCVVRJT04gTElDRU5TRQoKCkJ5IHNpZ25pbmcgYW5kIGRlbGl2ZXJpbmcgdGhpcyBsaWNlbnNlLCBNci4gKGF1dGhvciBvciBjb3B5cmlnaHQgaG9sZGVyKToKCgphKSBHcmFudHMgdGhlIFVuaXZlcnNpZGFkZSBGZWRlcmFsIFJpbyBHcmFuZGUgZG8gTm9ydGUgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgb2YKcmVwcm9kdWNlLCBjb252ZXJ0IChhcyBkZWZpbmVkIGJlbG93KSwgY29tbXVuaWNhdGUgYW5kIC8gb3IKZGlzdHJpYnV0ZSB0aGUgZGVsaXZlcmVkIGRvY3VtZW50IChpbmNsdWRpbmcgYWJzdHJhY3QgLyBhYnN0cmFjdCkgaW4KZGlnaXRhbCBvciBwcmludGVkIGZvcm1hdCBhbmQgaW4gYW55IG1lZGl1bS4KCmIpIERlY2xhcmVzIHRoYXQgdGhlIGRvY3VtZW50IHN1Ym1pdHRlZCBpcyBpdHMgb3JpZ2luYWwgd29yaywgYW5kIHRoYXQKeW91IGhhdmUgdGhlIHJpZ2h0IHRvIGdyYW50IHRoZSByaWdodHMgY29udGFpbmVkIGluIHRoaXMgbGljZW5zZS4gRGVjbGFyZXMKdGhhdCB0aGUgZGVsaXZlcnkgb2YgdGhlIGRvY3VtZW50IGRvZXMgbm90IGluZnJpbmdlLCBhcyBmYXIgYXMgaXQgaXMKdGhlIHJpZ2h0cyBvZiBhbnkgb3RoZXIgcGVyc29uIG9yIGVudGl0eS4KCmMpIElmIHRoZSBkb2N1bWVudCBkZWxpdmVyZWQgY29udGFpbnMgbWF0ZXJpYWwgd2hpY2ggZG9lcyBub3QKcmlnaHRzLCBkZWNsYXJlcyB0aGF0IGl0IGhhcyBvYnRhaW5lZCBhdXRob3JpemF0aW9uIGZyb20gdGhlIGhvbGRlciBvZiB0aGUKY29weXJpZ2h0IHRvIGdyYW50IHRoZSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBSaW8gR3JhbmRlIGRvIE5vcnRlIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdCB0aGlzIG1hdGVyaWFsIHdob3NlIHJpZ2h0cyBhcmUgb2YKdGhpcmQgcGFydGllcyBpcyBjbGVhcmx5IGlkZW50aWZpZWQgYW5kIHJlY29nbml6ZWQgaW4gdGhlIHRleHQgb3IKY29udGVudCBvZiB0aGUgZG9jdW1lbnQgZGVsaXZlcmVkLgoKSWYgdGhlIGRvY3VtZW50IHN1Ym1pdHRlZCBpcyBiYXNlZCBvbiBmdW5kZWQgb3Igc3VwcG9ydGVkIHdvcmsKYnkgYW5vdGhlciBpbnN0aXR1dGlvbiBvdGhlciB0aGFuIHRoZSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBSaW8gR3JhbmRlIGRvIE5vcnRlLCBkZWNsYXJlcyB0aGF0IGl0IGhhcyBmdWxmaWxsZWQgYW55IG9ibGlnYXRpb25zIHJlcXVpcmVkIGJ5IHRoZSByZXNwZWN0aXZlIGFncmVlbWVudCBvciBhZ3JlZW1lbnQuCgpUaGUgVW5pdmVyc2lkYWRlIEZlZGVyYWwgZG8gUmlvIEdyYW5kZSBkbyBOb3J0ZSB3aWxsIGNsZWFybHkgaWRlbnRpZnkgaXRzIG5hbWUgKHMpIGFzIHRoZSBhdXRob3IgKHMpIG9yIGhvbGRlciAocykgb2YgdGhlIGRvY3VtZW50J3MgcmlnaHRzCmRlbGl2ZXJlZCwgYW5kIHdpbGwgbm90IG1ha2UgYW55IGNoYW5nZXMsIG90aGVyIHRoYW4gdGhvc2UgcGVybWl0dGVkIGJ5CnRoaXMgbGljZW5zZQo=Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2022-10-17T20:48:26Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years
title Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years
spellingShingle Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years
Silva, Cláudio Moisés Santos e
RegCM4
Inter-annual variability
Semiarid
Convective parameterization
title_short Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years
title_full Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years
title_fullStr Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years
title_full_unstemmed Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years
title_sort Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years
author Silva, Cláudio Moisés Santos e
author_facet Silva, Cláudio Moisés Santos e
Silva, A.
Oliveira, Priscilla Teles de
Lima, Kellen Carla
author_role author
author2 Silva, A.
Oliveira, Priscilla Teles de
Lima, Kellen Carla
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva, Cláudio Moisés Santos e
Silva, A.
Oliveira, Priscilla Teles de
Lima, Kellen Carla
dc.subject.por.fl_str_mv RegCM4
Inter-annual variability
Semiarid
Convective parameterization
topic RegCM4
Inter-annual variability
Semiarid
Convective parameterization
description The aim of this work is to evaluate how the Regional Climate Model (RegCM4) is able to simulate the precipitation in Northeast Brazil (NEB). Therefore, high-resolution (grid spacing of 20 km) simulations during the autumns of 1998 and 1999 were performed. The model was able to capture regional and inter-annual differences of the precipitation in NEB. The RegCM4 simulations showed improved in the prediction concerning the intensity and spatial distribution of the rainfall, relative to the Era Interim reanalysis dataset. The experiment based on Emanuel MIT parameterization tends to overestimate the observed precipitation while the Grell experiment underestimates it.
publishDate 2013
dc.date.issued.fl_str_mv 2013-12-03
dc.date.accessioned.fl_str_mv 2020-04-30T20:20:12Z
dc.date.available.fl_str_mv 2020-04-30T20:20:12Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv SILVA, Cláudio Moisés Santos e; SILVA, A.; OLIVEIRA, P.; LIMA, K. C. Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years. Atmospheric Science Letters, [s. l.], v. 15, n. 1, p. 50-57, 3 dez. 2013. Disponível em: https://rmets.onlinelibrary.wiley.com/doi/10.1002/asl2.468. Acesso em 30 abr. 2020. http://dx.doi.org/10.1002/asl2.468.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/jspui/handle/123456789/28863
dc.identifier.issn.none.fl_str_mv 1530-261X (online)
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1002/asl2.468
identifier_str_mv SILVA, Cláudio Moisés Santos e; SILVA, A.; OLIVEIRA, P.; LIMA, K. C. Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years. Atmospheric Science Letters, [s. l.], v. 15, n. 1, p. 50-57, 3 dez. 2013. Disponível em: https://rmets.onlinelibrary.wiley.com/doi/10.1002/asl2.468. Acesso em 30 abr. 2020. http://dx.doi.org/10.1002/asl2.468.
1530-261X (online)
url https://repositorio.ufrn.br/jspui/handle/123456789/28863
https://doi.org/10.1002/asl2.468
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Royal Meteorological Society
publisher.none.fl_str_mv Royal Meteorological Society
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
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reponame_str Repositório Institucional da UFRN
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