Evaluation of the WRF ability to represent the precipitation in the amazon using a different scales
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/15519 |
Resumo: | Precipitation over the northern Amazon during the austral summer and autumn seasons of the 1988-1999 was simulated using the Regional Weather Research and Forecasting (WRF) model, with downscaling approach with nested domains of 45 and 15 km. The boundary and initial conditions were obtained from the Climate Forecast System Reanalysis (CFSR) of the National Centers for Environmental Prediction (NCEP). The model skill was tested using different rea-nalyzed precipitation datasets that represent different space scales. The bias of the model shows seasonal and spatial dependences, with positive bias in southwestern Brazilian Amazon during summer and in northwestern South America during autumn. The downscaling was needed to reproduce the surface influences on the regional and local systems that affect the rainfall distribution in the region. The WRF model, in general, reproduces the main observed precipitation patterns, without the dry bias, typical of general circulation models (GCM). The results indicate that the dynamic downscaling technique improves the WRF model performance for the seasonal climate forecast in the Amazon region. © 2019, Sociedade Brasileira de Meteorologia. All rights reserved. |
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Sousa, Jeanne Moreira deCândido, Luiz AntônioSilva, Júlio Tóta daAndreoli, Rita ValériaKayano, Mary ToshieManzi, Antônio OcimarSouza, Rodrigo Augusto Ferreira deSouza, Everaldo Barreiros deVieira, Samuel de Oliveira2020-05-14T16:32:37Z2020-05-14T16:32:37Z2019https://repositorio.inpa.gov.br/handle/1/1551910.1590/0102-77863340029Precipitation over the northern Amazon during the austral summer and autumn seasons of the 1988-1999 was simulated using the Regional Weather Research and Forecasting (WRF) model, with downscaling approach with nested domains of 45 and 15 km. The boundary and initial conditions were obtained from the Climate Forecast System Reanalysis (CFSR) of the National Centers for Environmental Prediction (NCEP). The model skill was tested using different rea-nalyzed precipitation datasets that represent different space scales. The bias of the model shows seasonal and spatial dependences, with positive bias in southwestern Brazilian Amazon during summer and in northwestern South America during autumn. The downscaling was needed to reproduce the surface influences on the regional and local systems that affect the rainfall distribution in the region. The WRF model, in general, reproduces the main observed precipitation patterns, without the dry bias, typical of general circulation models (GCM). The results indicate that the dynamic downscaling technique improves the WRF model performance for the seasonal climate forecast in the Amazon region. © 2019, Sociedade Brasileira de Meteorologia. All rights reserved.Volume 34, Número 2, Pags. 255-273Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessEvaluation of the WRF ability to represent the precipitation in the amazon using a different scalesAvaliação da habilidade do modelo WRF em representar a precipitação na amazônia usando diferentes escalasinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Meteorologiaporreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf8055225https://repositorio.inpa.gov.br/bitstream/1/15519/1/artigo-inpa.pdfa635a02c609c9ea5e589a64410dbffc1MD511/155192020-05-14 15:44:25.764oai:repositorio:1/15519Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-05-14T19:44:25Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Evaluation of the WRF ability to represent the precipitation in the amazon using a different scales |
dc.title.alternative.pt_BR.fl_str_mv |
Avaliação da habilidade do modelo WRF em representar a precipitação na amazônia usando diferentes escalas |
title |
Evaluation of the WRF ability to represent the precipitation in the amazon using a different scales |
spellingShingle |
Evaluation of the WRF ability to represent the precipitation in the amazon using a different scales Sousa, Jeanne Moreira de |
title_short |
Evaluation of the WRF ability to represent the precipitation in the amazon using a different scales |
title_full |
Evaluation of the WRF ability to represent the precipitation in the amazon using a different scales |
title_fullStr |
Evaluation of the WRF ability to represent the precipitation in the amazon using a different scales |
title_full_unstemmed |
Evaluation of the WRF ability to represent the precipitation in the amazon using a different scales |
title_sort |
Evaluation of the WRF ability to represent the precipitation in the amazon using a different scales |
author |
Sousa, Jeanne Moreira de |
author_facet |
Sousa, Jeanne Moreira de Cândido, Luiz Antônio Silva, Júlio Tóta da Andreoli, Rita Valéria Kayano, Mary Toshie Manzi, Antônio Ocimar Souza, Rodrigo Augusto Ferreira de Souza, Everaldo Barreiros de Vieira, Samuel de Oliveira |
author_role |
author |
author2 |
Cândido, Luiz Antônio Silva, Júlio Tóta da Andreoli, Rita Valéria Kayano, Mary Toshie Manzi, Antônio Ocimar Souza, Rodrigo Augusto Ferreira de Souza, Everaldo Barreiros de Vieira, Samuel de Oliveira |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Sousa, Jeanne Moreira de Cândido, Luiz Antônio Silva, Júlio Tóta da Andreoli, Rita Valéria Kayano, Mary Toshie Manzi, Antônio Ocimar Souza, Rodrigo Augusto Ferreira de Souza, Everaldo Barreiros de Vieira, Samuel de Oliveira |
description |
Precipitation over the northern Amazon during the austral summer and autumn seasons of the 1988-1999 was simulated using the Regional Weather Research and Forecasting (WRF) model, with downscaling approach with nested domains of 45 and 15 km. The boundary and initial conditions were obtained from the Climate Forecast System Reanalysis (CFSR) of the National Centers for Environmental Prediction (NCEP). The model skill was tested using different rea-nalyzed precipitation datasets that represent different space scales. The bias of the model shows seasonal and spatial dependences, with positive bias in southwestern Brazilian Amazon during summer and in northwestern South America during autumn. The downscaling was needed to reproduce the surface influences on the regional and local systems that affect the rainfall distribution in the region. The WRF model, in general, reproduces the main observed precipitation patterns, without the dry bias, typical of general circulation models (GCM). The results indicate that the dynamic downscaling technique improves the WRF model performance for the seasonal climate forecast in the Amazon region. © 2019, Sociedade Brasileira de Meteorologia. All rights reserved. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019 |
dc.date.accessioned.fl_str_mv |
2020-05-14T16:32:37Z |
dc.date.available.fl_str_mv |
2020-05-14T16:32:37Z |
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.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/15519 |
dc.identifier.doi.none.fl_str_mv |
10.1590/0102-77863340029 |
url |
https://repositorio.inpa.gov.br/handle/1/15519 |
identifier_str_mv |
10.1590/0102-77863340029 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 34, Número 2, Pags. 255-273 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Revista Brasileira de Meteorologia |
publisher.none.fl_str_mv |
Revista Brasileira de Meteorologia |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional do INPA instname:Instituto Nacional de Pesquisas da Amazônia (INPA) instacron:INPA |
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Instituto Nacional de Pesquisas da Amazônia (INPA) |
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INPA |
institution |
INPA |
reponame_str |
Repositório Institucional do INPA |
collection |
Repositório Institucional do INPA |
bitstream.url.fl_str_mv |
https://repositorio.inpa.gov.br/bitstream/1/15519/1/artigo-inpa.pdf |
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a635a02c609c9ea5e589a64410dbffc1 |
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repository.name.fl_str_mv |
Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA) |
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