Climatic fluctuations and homogenization of Northeast Brazil using precipitation data

Detalhes bibliográficos
Autor(a) principal: Reddy, S. Jeevananda
Data de Publicação: 2014
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/15593
Resumo: In order to assess the cyclic variations in the precipitation series and to homogenize the precipitation regimes of the Northeast Brazil 70-years annual precipitation data of 105-locations were subjected to power spectrum analysis. In terms of some cycles the regions above and below 8°S lat differ significantly. Also regions between 4-8°S lat. are different in some respects from regions above 4°S lat. This is true with respect to coefficient of variation of annual precipitation. The auto-regression of Fortaleza data of 1849 to 1981 revealed the presence of four cycles, namely 52, 26,13 and 6.5 years, The integrated curve of these four cycles is compared with the observed precipitation. The agreement in general is good with few exceptions. The same predicted curve is also used to compare with the observed precipitation at few other locations. The agreement is good only for few regions. The coefficient of variation of annual precipitation presented a non-homogeneity over regions above 8°S lat. compared to regions below 8°S lat. This is also true even with the observed cycles. This type of discrepancy is attributed to the non-homogeneity in the data series, which is also substantiated with few examples. This study demonstrates that the basic precipitation data must be corrected for homogeneity before they are actually used in the agricultural productivity estimates or planning strategies using regression approach.
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spelling Climatic fluctuations and homogenization of Northeast Brazil using precipitation dataFlutuações climáticas e homogeneização do Nordeste do Brasil utilizando dados de precipitaçãocycles; power spectrumciclos; poder de espectroIn order to assess the cyclic variations in the precipitation series and to homogenize the precipitation regimes of the Northeast Brazil 70-years annual precipitation data of 105-locations were subjected to power spectrum analysis. In terms of some cycles the regions above and below 8°S lat differ significantly. Also regions between 4-8°S lat. are different in some respects from regions above 4°S lat. This is true with respect to coefficient of variation of annual precipitation. The auto-regression of Fortaleza data of 1849 to 1981 revealed the presence of four cycles, namely 52, 26,13 and 6.5 years, The integrated curve of these four cycles is compared with the observed precipitation. The agreement in general is good with few exceptions. The same predicted curve is also used to compare with the observed precipitation at few other locations. The agreement is good only for few regions. The coefficient of variation of annual precipitation presented a non-homogeneity over regions above 8°S lat. compared to regions below 8°S lat. This is also true even with the observed cycles. This type of discrepancy is attributed to the non-homogeneity in the data series, which is also substantiated with few examples. This study demonstrates that the basic precipitation data must be corrected for homogeneity before they are actually used in the agricultural productivity estimates or planning strategies using regression approach.Objetivando conhecer a variação cíclica nas séries de precipitação e homogeneidade do regime pluviométrico do Nordeste do Brasil, dados de 70 anos de precipitação anual de 105 locais foram submetidos a análise do poder de espectro. Em termos de alguns ciclos as regiões acima e abaixo de 8° de latitude diferem significativamente. Também regiões entre 4.8° de latitude são diferentes em relação as regiões acima de 4° de latitude em alguns aspectos. Isto certamente também é correto com relação ao coeficiente de variação da precipitação anual. A auto-regressão dos dados de Fortaleza de 1849 a 1981 indica a presença de quatro ciclos, normalmente de 52, 26, 13 e 6,5 anos. A curva integrada deste quatro ciclos é comparada com a precipitação observada. A precisão em geral é boa, com poucas exceções. A mesma curva estimada é também usada para comparar com precipitações observadas em outros locais. A precisão é boa somente para poucas regiões. O coeficiente de variação da precipitação anual apresenta uma não-homogeneidade sobre regiões acima de 8° da latitude comparado a regiões abaixo de 8° de latitude. Isto certamente também é correto. Este tipo de discrepância é atribuído à não-homogeneidade da série de dados, a qual é também evidenciada com poucos exemplos. Este estudo demonstra que os dados básicos de precipitação deve ser corretamente homogeneizado, antes de ser utilizado em estimativa de produtividade agrícola ou estratégias de planejamento, utilizando métodos de regressão.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraReddy, S. Jeevananda2014-04-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/15593Pesquisa Agropecuaria Brasileira; v.19, n.5, maio 1984; 529-543Pesquisa Agropecuária Brasileira; v.19, n.5, maio 1984; 529-5431678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/15593/9594info:eu-repo/semantics/openAccess2014-04-16T19:22:17Zoai:ojs.seer.sct.embrapa.br:article/15593Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-04-16T19:22:17Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Climatic fluctuations and homogenization of Northeast Brazil using precipitation data
Flutuações climáticas e homogeneização do Nordeste do Brasil utilizando dados de precipitação
title Climatic fluctuations and homogenization of Northeast Brazil using precipitation data
spellingShingle Climatic fluctuations and homogenization of Northeast Brazil using precipitation data
Reddy, S. Jeevananda
cycles; power spectrum
ciclos; poder de espectro
title_short Climatic fluctuations and homogenization of Northeast Brazil using precipitation data
title_full Climatic fluctuations and homogenization of Northeast Brazil using precipitation data
title_fullStr Climatic fluctuations and homogenization of Northeast Brazil using precipitation data
title_full_unstemmed Climatic fluctuations and homogenization of Northeast Brazil using precipitation data
title_sort Climatic fluctuations and homogenization of Northeast Brazil using precipitation data
author Reddy, S. Jeevananda
author_facet Reddy, S. Jeevananda
author_role author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Reddy, S. Jeevananda
dc.subject.por.fl_str_mv cycles; power spectrum
ciclos; poder de espectro
topic cycles; power spectrum
ciclos; poder de espectro
description In order to assess the cyclic variations in the precipitation series and to homogenize the precipitation regimes of the Northeast Brazil 70-years annual precipitation data of 105-locations were subjected to power spectrum analysis. In terms of some cycles the regions above and below 8°S lat differ significantly. Also regions between 4-8°S lat. are different in some respects from regions above 4°S lat. This is true with respect to coefficient of variation of annual precipitation. The auto-regression of Fortaleza data of 1849 to 1981 revealed the presence of four cycles, namely 52, 26,13 and 6.5 years, The integrated curve of these four cycles is compared with the observed precipitation. The agreement in general is good with few exceptions. The same predicted curve is also used to compare with the observed precipitation at few other locations. The agreement is good only for few regions. The coefficient of variation of annual precipitation presented a non-homogeneity over regions above 8°S lat. compared to regions below 8°S lat. This is also true even with the observed cycles. This type of discrepancy is attributed to the non-homogeneity in the data series, which is also substantiated with few examples. This study demonstrates that the basic precipitation data must be corrected for homogeneity before they are actually used in the agricultural productivity estimates or planning strategies using regression approach.
publishDate 2014
dc.date.none.fl_str_mv 2014-04-16
dc.type.none.fl_str_mv
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://seer.sct.embrapa.br/index.php/pab/article/view/15593
url https://seer.sct.embrapa.br/index.php/pab/article/view/15593
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/15593/9594
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.19, n.5, maio 1984; 529-543
Pesquisa Agropecuária Brasileira; v.19, n.5, maio 1984; 529-543
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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