Methodology for trmm data validation for Uberaba (MG)

Detalhes bibliográficos
Autor(a) principal: Araújo, Sérgio Roberto
Data de Publicação: 2017
Outros Autores: Sanches, Fábio de Oliveira, Ferreira, Ricardo Vicente
Tipo de documento: Artigo
Idioma: por
Título da fonte: Entre-Lugar (Online)
Texto Completo: https://ojs.ufgd.edu.br/entre-lugar/article/view/8084
Resumo: Rainfall estimates made by satellites have contributed to the coverage of climatological data in continental countries such as Brazil. However, its accuracy is still questionable when compared to the data collected on the surface. e objective was to evaluate the quality of the data estimated by the TRMM satellite to Uberaba (MG) from data observed on surface. Descriptive statistics (Average, Median, Amplitude, Standard Deviation and Coeffi cient of Variation) and box plot analysis showed strong similarity. e Pearson correlation showed that the data sets have a high level of similarity (R ² = 0.994). e Student t-test showed that the data sets are statistically homogeneous. us, the results showed excellent data quality estimated by TRMM to Uberaba (MG) when compared to the observed data.
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spelling Methodology for trmm data validation for Uberaba (MG)Metodologia para validação de dados trmm para Uberaba (MG)Rainfall. Statistical tests. Box plot. Triângulo Mineiro. Satellites.Precipitações. Testes estatísticos. Box plot. Triângulo Mineiro. Satélites.Rainfall estimates made by satellites have contributed to the coverage of climatological data in continental countries such as Brazil. However, its accuracy is still questionable when compared to the data collected on the surface. e objective was to evaluate the quality of the data estimated by the TRMM satellite to Uberaba (MG) from data observed on surface. Descriptive statistics (Average, Median, Amplitude, Standard Deviation and Coeffi cient of Variation) and box plot analysis showed strong similarity. e Pearson correlation showed that the data sets have a high level of similarity (R ² = 0.994). e Student t-test showed that the data sets are statistically homogeneous. us, the results showed excellent data quality estimated by TRMM to Uberaba (MG) when compared to the observed data.Estimativas de chuvas feitas por satélites têm contribuído para ampliar a cobertura de dados climatológicos em países de dimensões continentais como o Brasil. No entanto, a precisão de seus dados ainda é questionável quando comparados aos dados coletados em superfície. O objetivo do trabalho foi avaliar a qualidade dos dados estimados pelo satélite TRMM para Uberaba (MG) a partir de dados observados em superfície. A aplicação da estatística descritiva (Média, Mediana, Amplitude, Desvio Padrão e Coeficiente de Variação) e análise Box Plot em ambos os conjuntos de dados demonstrou forte similaridade. A Correlação de Pearson demonstrou que ambos os conjuntos de dados apresentam elevado nível de similaridade (R²=0,994). O Teste t de Student demonstrou que ambos os conjuntos de dados são, estatisticamente, homogêneos. Sendo assim, os resultados demonstraram excelente qualidade dos dados estimados pelo TRMM para Uberaba (MG) quando comparados aos dados observados.Editora da Universidade Federal da Grande Dourados2017-12-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.ufgd.edu.br/entre-lugar/article/view/808410.30612/el.v8i16.8084ENTRE-LUGAR; v. 8 n. 16 (2017); 131-1412177-78292176-9559reponame:Entre-Lugar (Online)instname:Universidade Federal da Grande Dourados (UFGD)instacron:UFGDporhttps://ojs.ufgd.edu.br/entre-lugar/article/view/8084/4830Copyright (c) 2018 ENTRE-LUGARinfo:eu-repo/semantics/openAccessAraújo, Sérgio RobertoSanches, Fábio de OliveiraFerreira, Ricardo Vicente2019-07-31T20:00:09Zoai:ojs.pkp.sfu.ca:article/8084Revistahttps://ojs.ufgd.edu.br/index.php/entre-lugarPUBhttps://ojs.ufgd.edu.br/index.php/entre-lugar/oaimarcosmondardo@yahoo.com.br||charleisilva@ufgd.edu.br||editora.suporte@ufgd.edu.br10.306122177-78292176-9559opendoar:2019-07-31T20:00:09Entre-Lugar (Online) - Universidade Federal da Grande Dourados (UFGD)false
dc.title.none.fl_str_mv Methodology for trmm data validation for Uberaba (MG)
Metodologia para validação de dados trmm para Uberaba (MG)
title Methodology for trmm data validation for Uberaba (MG)
spellingShingle Methodology for trmm data validation for Uberaba (MG)
Araújo, Sérgio Roberto
Rainfall. Statistical tests. Box plot. Triângulo Mineiro. Satellites.
Precipitações. Testes estatísticos. Box plot. Triângulo Mineiro. Satélites.
title_short Methodology for trmm data validation for Uberaba (MG)
title_full Methodology for trmm data validation for Uberaba (MG)
title_fullStr Methodology for trmm data validation for Uberaba (MG)
title_full_unstemmed Methodology for trmm data validation for Uberaba (MG)
title_sort Methodology for trmm data validation for Uberaba (MG)
author Araújo, Sérgio Roberto
author_facet Araújo, Sérgio Roberto
Sanches, Fábio de Oliveira
Ferreira, Ricardo Vicente
author_role author
author2 Sanches, Fábio de Oliveira
Ferreira, Ricardo Vicente
author2_role author
author
dc.contributor.author.fl_str_mv Araújo, Sérgio Roberto
Sanches, Fábio de Oliveira
Ferreira, Ricardo Vicente
dc.subject.por.fl_str_mv Rainfall. Statistical tests. Box plot. Triângulo Mineiro. Satellites.
Precipitações. Testes estatísticos. Box plot. Triângulo Mineiro. Satélites.
topic Rainfall. Statistical tests. Box plot. Triângulo Mineiro. Satellites.
Precipitações. Testes estatísticos. Box plot. Triângulo Mineiro. Satélites.
description Rainfall estimates made by satellites have contributed to the coverage of climatological data in continental countries such as Brazil. However, its accuracy is still questionable when compared to the data collected on the surface. e objective was to evaluate the quality of the data estimated by the TRMM satellite to Uberaba (MG) from data observed on surface. Descriptive statistics (Average, Median, Amplitude, Standard Deviation and Coeffi cient of Variation) and box plot analysis showed strong similarity. e Pearson correlation showed that the data sets have a high level of similarity (R ² = 0.994). e Student t-test showed that the data sets are statistically homogeneous. us, the results showed excellent data quality estimated by TRMM to Uberaba (MG) when compared to the observed data.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-13
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.ufgd.edu.br/entre-lugar/article/view/8084
10.30612/el.v8i16.8084
url https://ojs.ufgd.edu.br/entre-lugar/article/view/8084
identifier_str_mv 10.30612/el.v8i16.8084
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://ojs.ufgd.edu.br/entre-lugar/article/view/8084/4830
dc.rights.driver.fl_str_mv Copyright (c) 2018 ENTRE-LUGAR
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 ENTRE-LUGAR
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da Universidade Federal da Grande Dourados
publisher.none.fl_str_mv Editora da Universidade Federal da Grande Dourados
dc.source.none.fl_str_mv ENTRE-LUGAR; v. 8 n. 16 (2017); 131-141
2177-7829
2176-9559
reponame:Entre-Lugar (Online)
instname:Universidade Federal da Grande Dourados (UFGD)
instacron:UFGD
instname_str Universidade Federal da Grande Dourados (UFGD)
instacron_str UFGD
institution UFGD
reponame_str Entre-Lugar (Online)
collection Entre-Lugar (Online)
repository.name.fl_str_mv Entre-Lugar (Online) - Universidade Federal da Grande Dourados (UFGD)
repository.mail.fl_str_mv marcosmondardo@yahoo.com.br||charleisilva@ufgd.edu.br||editora.suporte@ufgd.edu.br
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