Assessment of Precipitation Data Generated by GPM and TRMM Satellites

Detalhes bibliográficos
Autor(a) principal: Silva Lelis,Luísa Carolina
Data de Publicação: 2018
Outros Autores: Duarte Bosquilia,Raoni Wainer, Duarte,Sergio Nascimento
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Meteorologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000100153
Resumo: Abstract This study aimed to verify the performance of the information produced by the GPM (Global Precipitation Measurement) mission and TRMM (Tropical Rainfall Measurement Mission) on the eastern region of São Paulo state, based on a comparison of rainfall data from DAEE (Department of Waters and Electric Energy of São Paulo State). The comparison was done by comparing spatially aggregated information from both sources. In order to analyze the results, we measured: (1) Relative Difference, (2) BIAS and (3) Root Mean Square Error (RMSE). It was found that the relative differences were in the range of -20% to 20% for both missions. Analyzing the BIAS for both satellites it was observed that 68% of the measurements were overestimated. The highest agreement was obtained for the mesoregion of Campinas and the lowest for Araraquara. In the TRMM, the lowest RMSE values were found in the Araraquara mesoregion and the highest in Piracicaba. In the GPM the closest measured values were observed in the Piracicaba mesoregion, while the most distant values were identified in Araraquara. All the analyzes of this work demonstrated similarity between the errors generated by both satellites. New comparison studies are needed to better understand the products.
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spelling Assessment of Precipitation Data Generated by GPM and TRMM SatellitesprecipitationGPMTRMMrainfall estimated by satelliteAbstract This study aimed to verify the performance of the information produced by the GPM (Global Precipitation Measurement) mission and TRMM (Tropical Rainfall Measurement Mission) on the eastern region of São Paulo state, based on a comparison of rainfall data from DAEE (Department of Waters and Electric Energy of São Paulo State). The comparison was done by comparing spatially aggregated information from both sources. In order to analyze the results, we measured: (1) Relative Difference, (2) BIAS and (3) Root Mean Square Error (RMSE). It was found that the relative differences were in the range of -20% to 20% for both missions. Analyzing the BIAS for both satellites it was observed that 68% of the measurements were overestimated. The highest agreement was obtained for the mesoregion of Campinas and the lowest for Araraquara. In the TRMM, the lowest RMSE values were found in the Araraquara mesoregion and the highest in Piracicaba. In the GPM the closest measured values were observed in the Piracicaba mesoregion, while the most distant values were identified in Araraquara. All the analyzes of this work demonstrated similarity between the errors generated by both satellites. New comparison studies are needed to better understand the products.Sociedade Brasileira de Meteorologia2018-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000100153Revista Brasileira de Meteorologia v.33 n.1 2018reponame:Revista Brasileira de Meteorologia (Online)instname:Sociedade Brasileira de Meteorologia (SBMET)instacron:SBMET10.1590/0102-7786331004info:eu-repo/semantics/openAccessSilva Lelis,Luísa CarolinaDuarte Bosquilia,Raoni WainerDuarte,Sergio Nascimentoeng2019-05-27T00:00:00Zoai:scielo:S0102-77862018000100153Revistahttp://www.rbmet.org.br/port/index.phpONGhttps://old.scielo.br/oai/scielo-oai.php||rbmet@rbmet.org.br1982-43510102-7786opendoar:2019-05-27T00:00Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)false
dc.title.none.fl_str_mv Assessment of Precipitation Data Generated by GPM and TRMM Satellites
title Assessment of Precipitation Data Generated by GPM and TRMM Satellites
spellingShingle Assessment of Precipitation Data Generated by GPM and TRMM Satellites
Silva Lelis,Luísa Carolina
precipitation
GPM
TRMM
rainfall estimated by satellite
title_short Assessment of Precipitation Data Generated by GPM and TRMM Satellites
title_full Assessment of Precipitation Data Generated by GPM and TRMM Satellites
title_fullStr Assessment of Precipitation Data Generated by GPM and TRMM Satellites
title_full_unstemmed Assessment of Precipitation Data Generated by GPM and TRMM Satellites
title_sort Assessment of Precipitation Data Generated by GPM and TRMM Satellites
author Silva Lelis,Luísa Carolina
author_facet Silva Lelis,Luísa Carolina
Duarte Bosquilia,Raoni Wainer
Duarte,Sergio Nascimento
author_role author
author2 Duarte Bosquilia,Raoni Wainer
Duarte,Sergio Nascimento
author2_role author
author
dc.contributor.author.fl_str_mv Silva Lelis,Luísa Carolina
Duarte Bosquilia,Raoni Wainer
Duarte,Sergio Nascimento
dc.subject.por.fl_str_mv precipitation
GPM
TRMM
rainfall estimated by satellite
topic precipitation
GPM
TRMM
rainfall estimated by satellite
description Abstract This study aimed to verify the performance of the information produced by the GPM (Global Precipitation Measurement) mission and TRMM (Tropical Rainfall Measurement Mission) on the eastern region of São Paulo state, based on a comparison of rainfall data from DAEE (Department of Waters and Electric Energy of São Paulo State). The comparison was done by comparing spatially aggregated information from both sources. In order to analyze the results, we measured: (1) Relative Difference, (2) BIAS and (3) Root Mean Square Error (RMSE). It was found that the relative differences were in the range of -20% to 20% for both missions. Analyzing the BIAS for both satellites it was observed that 68% of the measurements were overestimated. The highest agreement was obtained for the mesoregion of Campinas and the lowest for Araraquara. In the TRMM, the lowest RMSE values were found in the Araraquara mesoregion and the highest in Piracicaba. In the GPM the closest measured values were observed in the Piracicaba mesoregion, while the most distant values were identified in Araraquara. All the analyzes of this work demonstrated similarity between the errors generated by both satellites. New comparison studies are needed to better understand the products.
publishDate 2018
dc.date.none.fl_str_mv 2018-03-01
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=S0102-77862018000100153
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000100153
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0102-7786331004
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 Sociedade Brasileira de Meteorologia
publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
dc.source.none.fl_str_mv Revista Brasileira de Meteorologia v.33 n.1 2018
reponame:Revista Brasileira de Meteorologia (Online)
instname:Sociedade Brasileira de Meteorologia (SBMET)
instacron:SBMET
instname_str Sociedade Brasileira de Meteorologia (SBMET)
instacron_str SBMET
institution SBMET
reponame_str Revista Brasileira de Meteorologia (Online)
collection Revista Brasileira de Meteorologia (Online)
repository.name.fl_str_mv Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)
repository.mail.fl_str_mv ||rbmet@rbmet.org.br
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