Influence of Soil Texture Type and Initial Soil Moisture on the Simulation of Seasonal Precipitation and Extreme Precipitation in Southeast Brazil

Detalhes bibliográficos
Autor(a) principal: Ferreira, Nicole Costa Resende
Data de Publicação: 2019
Outros Autores: Chou, Sin Chan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anuário do Instituto de Geociências (Online)
Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/29762
Resumo: The objective of this paper is to investigate the influence of soil conditions (initial moisture and soil texture type) on the seasonal simulations of precipitation extremes over Upper São Francisco River basin in Brazil. The Eta regional climate model is used to produce simulations for the dry and rainy seasons in southeast Brazil between the years 1979 and 2012. These are 4.5-month integrations. Two maps of soil texture type and two initial soil moisture conditions are tested. Eta rainfall simulations are more sensitive to soil texture than to the changes in the initial soil moisture. The runs using the map of 26 soil texture types represent better the climate of South America compared to the simulations using the map of 9 soil texture types. In general, the extreme climatic indices and the total accumulated precipitation for the dry and rainy seasons in Brazil are underestimated by the Eta regional climate model over the study region, which suggests the necessity of tests with convection precipitation schemes to improve the model’s performance.
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spelling Influence of Soil Texture Type and Initial Soil Moisture on the Simulation of Seasonal Precipitation and Extreme Precipitation in Southeast BrazilExtremes events; Eta model; Soil texture; Soil moistureThe objective of this paper is to investigate the influence of soil conditions (initial moisture and soil texture type) on the seasonal simulations of precipitation extremes over Upper São Francisco River basin in Brazil. The Eta regional climate model is used to produce simulations for the dry and rainy seasons in southeast Brazil between the years 1979 and 2012. These are 4.5-month integrations. Two maps of soil texture type and two initial soil moisture conditions are tested. Eta rainfall simulations are more sensitive to soil texture than to the changes in the initial soil moisture. The runs using the map of 26 soil texture types represent better the climate of South America compared to the simulations using the map of 9 soil texture types. In general, the extreme climatic indices and the total accumulated precipitation for the dry and rainy seasons in Brazil are underestimated by the Eta regional climate model over the study region, which suggests the necessity of tests with convection precipitation schemes to improve the model’s performance.Universidade Federal do Rio de JaneiroFerreira, Nicole Costa ResendeChou, Sin Chan2019-10-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/2976210.11137/2018_3_680_689Anuário do Instituto de Geociências; Vol 41, No 3 (2018); 680-689Anuário do Instituto de Geociências; Vol 41, No 3 (2018); 680-6891982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJenghttps://revistas.ufrj.br/index.php/aigeo/article/view/29762/16766Copyright (c) 2019 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess2020-08-12T18:46:40Zoai:www.revistas.ufrj.br:article/29762Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2020-08-12T18:46:40Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv
Influence of Soil Texture Type and Initial Soil Moisture on the Simulation of Seasonal Precipitation and Extreme Precipitation in Southeast Brazil
title Influence of Soil Texture Type and Initial Soil Moisture on the Simulation of Seasonal Precipitation and Extreme Precipitation in Southeast Brazil
spellingShingle Influence of Soil Texture Type and Initial Soil Moisture on the Simulation of Seasonal Precipitation and Extreme Precipitation in Southeast Brazil
Ferreira, Nicole Costa Resende
Extremes events; Eta model; Soil texture; Soil moisture
title_short Influence of Soil Texture Type and Initial Soil Moisture on the Simulation of Seasonal Precipitation and Extreme Precipitation in Southeast Brazil
title_full Influence of Soil Texture Type and Initial Soil Moisture on the Simulation of Seasonal Precipitation and Extreme Precipitation in Southeast Brazil
title_fullStr Influence of Soil Texture Type and Initial Soil Moisture on the Simulation of Seasonal Precipitation and Extreme Precipitation in Southeast Brazil
title_full_unstemmed Influence of Soil Texture Type and Initial Soil Moisture on the Simulation of Seasonal Precipitation and Extreme Precipitation in Southeast Brazil
title_sort Influence of Soil Texture Type and Initial Soil Moisture on the Simulation of Seasonal Precipitation and Extreme Precipitation in Southeast Brazil
author Ferreira, Nicole Costa Resende
author_facet Ferreira, Nicole Costa Resende
Chou, Sin Chan
author_role author
author2 Chou, Sin Chan
author2_role author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Ferreira, Nicole Costa Resende
Chou, Sin Chan
dc.subject.none.fl_str_mv
dc.subject.por.fl_str_mv Extremes events; Eta model; Soil texture; Soil moisture
topic Extremes events; Eta model; Soil texture; Soil moisture
description The objective of this paper is to investigate the influence of soil conditions (initial moisture and soil texture type) on the seasonal simulations of precipitation extremes over Upper São Francisco River basin in Brazil. The Eta regional climate model is used to produce simulations for the dry and rainy seasons in southeast Brazil between the years 1979 and 2012. These are 4.5-month integrations. Two maps of soil texture type and two initial soil moisture conditions are tested. Eta rainfall simulations are more sensitive to soil texture than to the changes in the initial soil moisture. The runs using the map of 26 soil texture types represent better the climate of South America compared to the simulations using the map of 9 soil texture types. In general, the extreme climatic indices and the total accumulated precipitation for the dry and rainy seasons in Brazil are underestimated by the Eta regional climate model over the study region, which suggests the necessity of tests with convection precipitation schemes to improve the model’s performance.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-16
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/29762
10.11137/2018_3_680_689
url https://revistas.ufrj.br/index.php/aigeo/article/view/29762
identifier_str_mv 10.11137/2018_3_680_689
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/29762/16766
dc.rights.driver.fl_str_mv Copyright (c) 2019 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Anuário do Instituto de Geociências; Vol 41, No 3 (2018); 680-689
Anuário do Instituto de Geociências; Vol 41, No 3 (2018); 680-689
1982-3908
0101-9759
reponame:Anuário do Instituto de Geociências (Online)
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
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reponame_str Anuário do Instituto de Geociências (Online)
collection Anuário do Instituto de Geociências (Online)
repository.name.fl_str_mv Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)
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