Methodology for trmm data validation for Uberaba (MG)
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
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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Entre-Lugar (Online) |
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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 |
_version_ |
1809280510229217280 |