Confronting CHIRPS dataset and in situ stations in the detection of wet and drought conditions in the Brazilian Midwest
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1002/joc.7080 http://hdl.handle.net/11449/206041 |
Resumo: | The states of Mato Grosso (MT) and Mato Grosso do Sul (MS) are located in Midwest Brazil and are dependent on agribusiness, which makes their water regimes of fundamental importance. However, the existing weather stations in these states are limited, and rainfall products are therefore a valuable alternative. The objectives of this study are: (a) to validate the CHIRPS datasets for the states of MT and MS in the Brazilian Midwest region; (b) to evaluate the intraseasonal variability of regional rainfall via CHIRPS; and (c) to define the drought and wet periods on the decennial scale, based on the annual SPI. Three seasons were defined (rainy, drought, and transition), and the differences showed that the MS rainy season (56.65%) was reduced due to the veranicos that occur in February, with an increase in the percentages of the drought (13.83%) and transition (29.52%) seasons. The highest monthly rainfall occurs in the north of MS (328–390 mm), while intermediate rainfall (109–273 mm) occurs in the south of MS. This satisfactorily represents the formation of a rainfall gradient in a N–S direction during the rainy season, similar to other characterizations around the world. Based on the annual SPI assessed per decade, there were moderate droughts annually in the 1990s, 2000s, and 2010s, but not in the 1980s. There were significant differences between the decades due to the intensity and categorization of the ENSO phases (strong and moderate), and drier decades with moderate rainfall reduction in both states can be defined in the last 40 years. The data obtained via CHIRPS are satisfactory for the spatio-temporal evaluation of regional rainfall, and for the use of SPI to detect drought and wet periods in the states of MT and MS. |
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Confronting CHIRPS dataset and in situ stations in the detection of wet and drought conditions in the Brazilian Midwestdata gap fillingprecipitation productregional climatologyspatio-temporal validationThe states of Mato Grosso (MT) and Mato Grosso do Sul (MS) are located in Midwest Brazil and are dependent on agribusiness, which makes their water regimes of fundamental importance. However, the existing weather stations in these states are limited, and rainfall products are therefore a valuable alternative. The objectives of this study are: (a) to validate the CHIRPS datasets for the states of MT and MS in the Brazilian Midwest region; (b) to evaluate the intraseasonal variability of regional rainfall via CHIRPS; and (c) to define the drought and wet periods on the decennial scale, based on the annual SPI. Three seasons were defined (rainy, drought, and transition), and the differences showed that the MS rainy season (56.65%) was reduced due to the veranicos that occur in February, with an increase in the percentages of the drought (13.83%) and transition (29.52%) seasons. The highest monthly rainfall occurs in the north of MS (328–390 mm), while intermediate rainfall (109–273 mm) occurs in the south of MS. This satisfactorily represents the formation of a rainfall gradient in a N–S direction during the rainy season, similar to other characterizations around the world. Based on the annual SPI assessed per decade, there were moderate droughts annually in the 1990s, 2000s, and 2010s, but not in the 1980s. There were significant differences between the decades due to the intensity and categorization of the ENSO phases (strong and moderate), and drier decades with moderate rainfall reduction in both states can be defined in the last 40 years. The data obtained via CHIRPS are satisfactory for the spatio-temporal evaluation of regional rainfall, and for the use of SPI to detect drought and wet periods in the states of MT and MS.Instituto de Ciências Atmosféricas Universidade Federal de AlagoasState University of Mato Grosso (UNEMAT) Department of GeographyUniversidade Federal de Mato Grosso do Sul (UFMS) Campus de Chapadão do Sul Chapadão do SulState University of São Paulo (UNESP)Programa de Pós-Graduação em Engenharia Civil (PPGEC) Universidade Federal do Pará (UFPA)State University of Mato Grosso (UNEMAT) Alta FlorestaPrograma de Pós-Graduação em Tecnologia Ambiental (PGTA) Universidade Federal Fluminense (UFF)Postgraduate Program in Meteorology Unidade Acadêmica de Ciências Atmosféricas (UACA) Federal University of Campina Grande (UFCG)State University of São Paulo (UNESP)Universidade Federal de AlagoasState University of Mato Grosso (UNEMAT)Universidade Federal de Mato Grosso do Sul (UFMS)Universidade Estadual Paulista (Unesp)Universidade Federal do Pará (UFPA)Alta FlorestaUniversidade Federal Fluminense (UFF)Federal University of Campina Grande (UFCG)de Oliveira-Júnior, José Franciscoda Silva Junior, Carlos AntonioTeodoro, Paulo EduardoRossi, Fernando Saragosa [UNESP]Blanco, Claudio José CavalcanteLima, Mendelsonde Gois, GivanildoCorreia Filho, Washington Luiz Félixde Barros Santiago, Dimasdos Santos Vanderley, Mário Henrique Guilherme2021-06-25T10:25:34Z2021-06-25T10:25:34Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1002/joc.7080International Journal of Climatology.1097-00880899-8418http://hdl.handle.net/11449/20604110.1002/joc.70802-s2.0-85102454359Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Climatologyinfo:eu-repo/semantics/openAccess2021-10-22T20:42:45Zoai:repositorio.unesp.br:11449/206041Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:12:47.729071Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Confronting CHIRPS dataset and in situ stations in the detection of wet and drought conditions in the Brazilian Midwest |
title |
Confronting CHIRPS dataset and in situ stations in the detection of wet and drought conditions in the Brazilian Midwest |
spellingShingle |
Confronting CHIRPS dataset and in situ stations in the detection of wet and drought conditions in the Brazilian Midwest de Oliveira-Júnior, José Francisco data gap filling precipitation product regional climatology spatio-temporal validation |
title_short |
Confronting CHIRPS dataset and in situ stations in the detection of wet and drought conditions in the Brazilian Midwest |
title_full |
Confronting CHIRPS dataset and in situ stations in the detection of wet and drought conditions in the Brazilian Midwest |
title_fullStr |
Confronting CHIRPS dataset and in situ stations in the detection of wet and drought conditions in the Brazilian Midwest |
title_full_unstemmed |
Confronting CHIRPS dataset and in situ stations in the detection of wet and drought conditions in the Brazilian Midwest |
title_sort |
Confronting CHIRPS dataset and in situ stations in the detection of wet and drought conditions in the Brazilian Midwest |
author |
de Oliveira-Júnior, José Francisco |
author_facet |
de Oliveira-Júnior, José Francisco da Silva Junior, Carlos Antonio Teodoro, Paulo Eduardo Rossi, Fernando Saragosa [UNESP] Blanco, Claudio José Cavalcante Lima, Mendelson de Gois, Givanildo Correia Filho, Washington Luiz Félix de Barros Santiago, Dimas dos Santos Vanderley, Mário Henrique Guilherme |
author_role |
author |
author2 |
da Silva Junior, Carlos Antonio Teodoro, Paulo Eduardo Rossi, Fernando Saragosa [UNESP] Blanco, Claudio José Cavalcante Lima, Mendelson de Gois, Givanildo Correia Filho, Washington Luiz Félix de Barros Santiago, Dimas dos Santos Vanderley, Mário Henrique Guilherme |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Alagoas State University of Mato Grosso (UNEMAT) Universidade Federal de Mato Grosso do Sul (UFMS) Universidade Estadual Paulista (Unesp) Universidade Federal do Pará (UFPA) Alta Floresta Universidade Federal Fluminense (UFF) Federal University of Campina Grande (UFCG) |
dc.contributor.author.fl_str_mv |
de Oliveira-Júnior, José Francisco da Silva Junior, Carlos Antonio Teodoro, Paulo Eduardo Rossi, Fernando Saragosa [UNESP] Blanco, Claudio José Cavalcante Lima, Mendelson de Gois, Givanildo Correia Filho, Washington Luiz Félix de Barros Santiago, Dimas dos Santos Vanderley, Mário Henrique Guilherme |
dc.subject.por.fl_str_mv |
data gap filling precipitation product regional climatology spatio-temporal validation |
topic |
data gap filling precipitation product regional climatology spatio-temporal validation |
description |
The states of Mato Grosso (MT) and Mato Grosso do Sul (MS) are located in Midwest Brazil and are dependent on agribusiness, which makes their water regimes of fundamental importance. However, the existing weather stations in these states are limited, and rainfall products are therefore a valuable alternative. The objectives of this study are: (a) to validate the CHIRPS datasets for the states of MT and MS in the Brazilian Midwest region; (b) to evaluate the intraseasonal variability of regional rainfall via CHIRPS; and (c) to define the drought and wet periods on the decennial scale, based on the annual SPI. Three seasons were defined (rainy, drought, and transition), and the differences showed that the MS rainy season (56.65%) was reduced due to the veranicos that occur in February, with an increase in the percentages of the drought (13.83%) and transition (29.52%) seasons. The highest monthly rainfall occurs in the north of MS (328–390 mm), while intermediate rainfall (109–273 mm) occurs in the south of MS. This satisfactorily represents the formation of a rainfall gradient in a N–S direction during the rainy season, similar to other characterizations around the world. Based on the annual SPI assessed per decade, there were moderate droughts annually in the 1990s, 2000s, and 2010s, but not in the 1980s. There were significant differences between the decades due to the intensity and categorization of the ENSO phases (strong and moderate), and drier decades with moderate rainfall reduction in both states can be defined in the last 40 years. The data obtained via CHIRPS are satisfactory for the spatio-temporal evaluation of regional rainfall, and for the use of SPI to detect drought and wet periods in the states of MT and MS. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:25:34Z 2021-06-25T10:25:34Z 2021-01-01 |
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 |
http://dx.doi.org/10.1002/joc.7080 International Journal of Climatology. 1097-0088 0899-8418 http://hdl.handle.net/11449/206041 10.1002/joc.7080 2-s2.0-85102454359 |
url |
http://dx.doi.org/10.1002/joc.7080 http://hdl.handle.net/11449/206041 |
identifier_str_mv |
International Journal of Climatology. 1097-0088 0899-8418 10.1002/joc.7080 2-s2.0-85102454359 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal of Climatology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129405718888448 |