Validation of TRMM data in the geographical regions of Brazil

Detalhes bibliográficos
Autor(a) principal: Moraes,Rafael Brandão Ferreira de
Data de Publicação: 2021
Outros Autores: Gonçalves,Fábio Veríssimo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: RBRH (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312021000100232
Resumo: ABSTRACT The low density of precipitation gauges, the areas of difficult access and the high number of missing values hinder a rapid and effective hydrological monitoring. Thus, the present study aims to statistically validate the precipitation estimates by the data Tropical Rainfall Measuring Mission (TRMM) in relation to the data observed in the Conventional Meteorological Stations (CMSs) in the geographic regions of Brazil. The statistical indicators used were: Correlation Coefficient (r), Mean Absolute Error (MAE), Percentage of Bias (Pbias), T-Test and Mann-Witiney Test. It is concluded that the precipitation data estimated via TRMM are effective and reliable alternatives for hydrological studies in areas that do not have in-situ gauges and/or need to fill missing values in the five regions of the country, especially in the driest months and in larger time scales.
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spelling Validation of TRMM data in the geographical regions of BrazilEstimatePrecipitationTRMMConventional meteorological stationGeographic regionABSTRACT The low density of precipitation gauges, the areas of difficult access and the high number of missing values hinder a rapid and effective hydrological monitoring. Thus, the present study aims to statistically validate the precipitation estimates by the data Tropical Rainfall Measuring Mission (TRMM) in relation to the data observed in the Conventional Meteorological Stations (CMSs) in the geographic regions of Brazil. The statistical indicators used were: Correlation Coefficient (r), Mean Absolute Error (MAE), Percentage of Bias (Pbias), T-Test and Mann-Witiney Test. It is concluded that the precipitation data estimated via TRMM are effective and reliable alternatives for hydrological studies in areas that do not have in-situ gauges and/or need to fill missing values in the five regions of the country, especially in the driest months and in larger time scales.Associação Brasileira de Recursos Hídricos2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312021000100232RBRH v.26 2021reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.262120210071info:eu-repo/semantics/openAccessMoraes,Rafael Brandão Ferreira deGonçalves,Fábio Veríssimoeng2021-11-18T00:00:00Zoai:scielo:S2318-03312021000100232Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2021-11-18T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false
dc.title.none.fl_str_mv Validation of TRMM data in the geographical regions of Brazil
title Validation of TRMM data in the geographical regions of Brazil
spellingShingle Validation of TRMM data in the geographical regions of Brazil
Moraes,Rafael Brandão Ferreira de
Estimate
Precipitation
TRMM
Conventional meteorological station
Geographic region
title_short Validation of TRMM data in the geographical regions of Brazil
title_full Validation of TRMM data in the geographical regions of Brazil
title_fullStr Validation of TRMM data in the geographical regions of Brazil
title_full_unstemmed Validation of TRMM data in the geographical regions of Brazil
title_sort Validation of TRMM data in the geographical regions of Brazil
author Moraes,Rafael Brandão Ferreira de
author_facet Moraes,Rafael Brandão Ferreira de
Gonçalves,Fábio Veríssimo
author_role author
author2 Gonçalves,Fábio Veríssimo
author2_role author
dc.contributor.author.fl_str_mv Moraes,Rafael Brandão Ferreira de
Gonçalves,Fábio Veríssimo
dc.subject.por.fl_str_mv Estimate
Precipitation
TRMM
Conventional meteorological station
Geographic region
topic Estimate
Precipitation
TRMM
Conventional meteorological station
Geographic region
description ABSTRACT The low density of precipitation gauges, the areas of difficult access and the high number of missing values hinder a rapid and effective hydrological monitoring. Thus, the present study aims to statistically validate the precipitation estimates by the data Tropical Rainfall Measuring Mission (TRMM) in relation to the data observed in the Conventional Meteorological Stations (CMSs) in the geographic regions of Brazil. The statistical indicators used were: Correlation Coefficient (r), Mean Absolute Error (MAE), Percentage of Bias (Pbias), T-Test and Mann-Witiney Test. It is concluded that the precipitation data estimated via TRMM are effective and reliable alternatives for hydrological studies in areas that do not have in-situ gauges and/or need to fill missing values in the five regions of the country, especially in the driest months and in larger time scales.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312021000100232
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312021000100232
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2318-0331.262120210071
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
dc.source.none.fl_str_mv RBRH v.26 2021
reponame:RBRH (Online)
instname:Associação Brasileira de Recursos Hídricos (ABRH)
instacron:ABRH
instname_str Associação Brasileira de Recursos Hídricos (ABRH)
instacron_str ABRH
institution ABRH
reponame_str RBRH (Online)
collection RBRH (Online)
repository.name.fl_str_mv RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)
repository.mail.fl_str_mv ||rbrh@abrh.org.br
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