An approach to quality analysis, gap filling and homogeneity of monthly rainfall series
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia na Agricultura |
Texto Completo: | https://periodicos.ufv.br/reveng/article/view/11738 |
Resumo: | The aim was to propose an approach for the consistency of monthly rainfall climatic series. The methodology was applied to series (1961-2010) of rainfall from meteorological stations located in the state of Rio de Janeiro (RJ) and on the border of the states of São Paulo, Minas Gerais and Espírito Santo with RJ. The data were submitted to quality analysis (physical limits, climatic limits and spatio-temporal tendency) and filling of gaps by the simple linear regression method, associated with the prediction band (p <0.05 and 0.01), in addition to the Z-score(3, 4 or 5). Subsequently, homogeneity analysis was applied to continuous series, using the accumulated residue method. The selected stations presented a coefficient of determination (r²) between the station series and the reference series greater than 0.70 after filling gaps. After homogeneity analysis, five of the nine final series were homogeneous (p > 0.9), in the others the break point of homogeneity was identified and the simple linear regression method was applied in its homogenization. This approach was effective to consist of the precipitation series and makes it possible to use these data in climate studies. |
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Engenharia na Agricultura |
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An approach to quality analysis, gap filling and homogeneity of monthly rainfall seriesAn approach to quality analysis, gap filling and homogeneity of monthly rainfall seriesRainfallClimatologyData setThe aim was to propose an approach for the consistency of monthly rainfall climatic series. The methodology was applied to series (1961-2010) of rainfall from meteorological stations located in the state of Rio de Janeiro (RJ) and on the border of the states of São Paulo, Minas Gerais and Espírito Santo with RJ. The data were submitted to quality analysis (physical limits, climatic limits and spatio-temporal tendency) and filling of gaps by the simple linear regression method, associated with the prediction band (p <0.05 and 0.01), in addition to the Z-score(3, 4 or 5). Subsequently, homogeneity analysis was applied to continuous series, using the accumulated residue method. The selected stations presented a coefficient of determination (r²) between the station series and the reference series greater than 0.70 after filling gaps. After homogeneity analysis, five of the nine final series were homogeneous (p > 0.9), in the others the break point of homogeneity was identified and the simple linear regression method was applied in its homogenization. This approach was effective to consist of the precipitation series and makes it possible to use these data in climate studies.The aim of this work was to propose a method for the consistency of climatic series of monthly rainfall using a supervised and unsupervised approach. The methodology was applied for the series (1961-2010) of rainfall from weather stations located in the State of Rio de Janeiro (RJ) and in the borders with the states of São Paulo, Minas Gerais and Espírito Santo with the State of Rio de Janeiro. The data were submitted to quality analysis (physical and climatic limit and, space-time tendency) and gap filling, based on simple linear regression analysis, associated with the prediction band (p < 0.05 or 0.01), in addition to the Z-score (3, 4 or 5). Next, homogeneity analysis was applied to the continuous series, using the method of cumulative residuals. The coefficients of determination (r²) between the assessed series and the reference series were greater than 0.70 for gap filling both for the supervised and unsupervised approaches. In the analysis of data homogeneity, supervised and unsupervised approaches were effective in selecting homogeneous series, in which five out of the nine final stations were homogeneous (p > 0.9). In the other series, the homogeneity break points were identified and the simple linear regression method was applied for their homogenization. The proposed method was effective to consist of the rainfall series and allows the use of these data in climate studies.Universidade Federal de Viçosa - UFV2021-08-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/1173810.13083/reveng.v29i1.11738Engineering in Agriculture; Vol. 29 No. Contínua (2021); 157-168Revista Engenharia na Agricultura - REVENG; v. 29 n. Contínua (2021); 157-1682175-68131414-3984reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/reveng/article/view/11738/6819Copyright (c) 2021 Revista Engenharia na Agricultura - Revenghttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSantos, Janaina Cassiano dosLyra, Gustavo BastosAbreu, Marcel CarvalhoMenezes, Daniel Carlos de2023-01-23T14:06:01Zoai:ojs.periodicos.ufv.br:article/11738Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-23T14:06:01Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
An approach to quality analysis, gap filling and homogeneity of monthly rainfall series An approach to quality analysis, gap filling and homogeneity of monthly rainfall series |
title |
An approach to quality analysis, gap filling and homogeneity of monthly rainfall series |
spellingShingle |
An approach to quality analysis, gap filling and homogeneity of monthly rainfall series Santos, Janaina Cassiano dos Rainfall Climatology Data set |
title_short |
An approach to quality analysis, gap filling and homogeneity of monthly rainfall series |
title_full |
An approach to quality analysis, gap filling and homogeneity of monthly rainfall series |
title_fullStr |
An approach to quality analysis, gap filling and homogeneity of monthly rainfall series |
title_full_unstemmed |
An approach to quality analysis, gap filling and homogeneity of monthly rainfall series |
title_sort |
An approach to quality analysis, gap filling and homogeneity of monthly rainfall series |
author |
Santos, Janaina Cassiano dos |
author_facet |
Santos, Janaina Cassiano dos Lyra, Gustavo Bastos Abreu, Marcel Carvalho Menezes, Daniel Carlos de |
author_role |
author |
author2 |
Lyra, Gustavo Bastos Abreu, Marcel Carvalho Menezes, Daniel Carlos de |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Santos, Janaina Cassiano dos Lyra, Gustavo Bastos Abreu, Marcel Carvalho Menezes, Daniel Carlos de |
dc.subject.por.fl_str_mv |
Rainfall Climatology Data set |
topic |
Rainfall Climatology Data set |
description |
The aim was to propose an approach for the consistency of monthly rainfall climatic series. The methodology was applied to series (1961-2010) of rainfall from meteorological stations located in the state of Rio de Janeiro (RJ) and on the border of the states of São Paulo, Minas Gerais and Espírito Santo with RJ. The data were submitted to quality analysis (physical limits, climatic limits and spatio-temporal tendency) and filling of gaps by the simple linear regression method, associated with the prediction band (p <0.05 and 0.01), in addition to the Z-score(3, 4 or 5). Subsequently, homogeneity analysis was applied to continuous series, using the accumulated residue method. The selected stations presented a coefficient of determination (r²) between the station series and the reference series greater than 0.70 after filling gaps. After homogeneity analysis, five of the nine final series were homogeneous (p > 0.9), in the others the break point of homogeneity was identified and the simple linear regression method was applied in its homogenization. This approach was effective to consist of the precipitation series and makes it possible to use these data in climate studies. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-16 |
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://periodicos.ufv.br/reveng/article/view/11738 10.13083/reveng.v29i1.11738 |
url |
https://periodicos.ufv.br/reveng/article/view/11738 |
identifier_str_mv |
10.13083/reveng.v29i1.11738 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/11738/6819 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Revista Engenharia na Agricultura - Reveng https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Revista Engenharia na Agricultura - Reveng https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
dc.source.none.fl_str_mv |
Engineering in Agriculture; Vol. 29 No. Contínua (2021); 157-168 Revista Engenharia na Agricultura - REVENG; v. 29 n. Contínua (2021); 157-168 2175-6813 1414-3984 reponame:Engenharia na Agricultura instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
Engenharia na Agricultura |
collection |
Engenharia na Agricultura |
repository.name.fl_str_mv |
Engenharia na Agricultura - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br |
_version_ |
1800211147103666176 |