Monthly values of the standardized precipitation index in the State of São Paulo, Brazil: trends and spectral features under the normality assumption

Detalhes bibliográficos
Autor(a) principal: Blain,Gabriel Constantino
Data de Publicação: 2012
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000100018
Resumo: The aim of this study was to describe monthly series of the Standardized Precipitation Index obtained from four weather stations of the State of São Paulo, Brazil. The analyses were carried out by evaluating the normality assumption of the SPI distributions, the spectral features of these series and, the presence of climatic trends in these datasets. It was observed that the Pearson type III distribution was better than the gamma 2-parameter distribution in providing monthly SPI series closer to the normality assumption inherent to the use of this standardized index. The spectral analyses carried out in the time-frequency domain did not allow us to establish a dominant mode in the analyzed series. In general, the Mann-Kendall and the Pettitt tests indicated the presence of no significant trend in the SPI series. However, both trend tests have indicated that the temporal variability of this index, observed at the months of October over the last 60 years, cannot be seen as the result of a purely random process. This last inference is due to the concentration of decreasing trends, with a common beginning (1983/84) in the four locations of the study.
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spelling Monthly values of the standardized precipitation index in the State of São Paulo, Brazil: trends and spectral features under the normality assumptionPearson type III distributiondroughtclimate trendsThe aim of this study was to describe monthly series of the Standardized Precipitation Index obtained from four weather stations of the State of São Paulo, Brazil. The analyses were carried out by evaluating the normality assumption of the SPI distributions, the spectral features of these series and, the presence of climatic trends in these datasets. It was observed that the Pearson type III distribution was better than the gamma 2-parameter distribution in providing monthly SPI series closer to the normality assumption inherent to the use of this standardized index. The spectral analyses carried out in the time-frequency domain did not allow us to establish a dominant mode in the analyzed series. In general, the Mann-Kendall and the Pettitt tests indicated the presence of no significant trend in the SPI series. However, both trend tests have indicated that the temporal variability of this index, observed at the months of October over the last 60 years, cannot be seen as the result of a purely random process. This last inference is due to the concentration of decreasing trends, with a common beginning (1983/84) in the four locations of the study.Instituto Agronômico de Campinas2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000100018Bragantia v.71 n.1 2012reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/S0006-87052012005000004info:eu-repo/semantics/openAccessBlain,Gabriel Constantinoeng2012-05-11T00:00:00Zoai:scielo:S0006-87052012000100018Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2012-05-11T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Monthly values of the standardized precipitation index in the State of São Paulo, Brazil: trends and spectral features under the normality assumption
title Monthly values of the standardized precipitation index in the State of São Paulo, Brazil: trends and spectral features under the normality assumption
spellingShingle Monthly values of the standardized precipitation index in the State of São Paulo, Brazil: trends and spectral features under the normality assumption
Blain,Gabriel Constantino
Pearson type III distribution
drought
climate trends
title_short Monthly values of the standardized precipitation index in the State of São Paulo, Brazil: trends and spectral features under the normality assumption
title_full Monthly values of the standardized precipitation index in the State of São Paulo, Brazil: trends and spectral features under the normality assumption
title_fullStr Monthly values of the standardized precipitation index in the State of São Paulo, Brazil: trends and spectral features under the normality assumption
title_full_unstemmed Monthly values of the standardized precipitation index in the State of São Paulo, Brazil: trends and spectral features under the normality assumption
title_sort Monthly values of the standardized precipitation index in the State of São Paulo, Brazil: trends and spectral features under the normality assumption
author Blain,Gabriel Constantino
author_facet Blain,Gabriel Constantino
author_role author
dc.contributor.author.fl_str_mv Blain,Gabriel Constantino
dc.subject.por.fl_str_mv Pearson type III distribution
drought
climate trends
topic Pearson type III distribution
drought
climate trends
description The aim of this study was to describe monthly series of the Standardized Precipitation Index obtained from four weather stations of the State of São Paulo, Brazil. The analyses were carried out by evaluating the normality assumption of the SPI distributions, the spectral features of these series and, the presence of climatic trends in these datasets. It was observed that the Pearson type III distribution was better than the gamma 2-parameter distribution in providing monthly SPI series closer to the normality assumption inherent to the use of this standardized index. The spectral analyses carried out in the time-frequency domain did not allow us to establish a dominant mode in the analyzed series. In general, the Mann-Kendall and the Pettitt tests indicated the presence of no significant trend in the SPI series. However, both trend tests have indicated that the temporal variability of this index, observed at the months of October over the last 60 years, cannot be seen as the result of a purely random process. This last inference is due to the concentration of decreasing trends, with a common beginning (1983/84) in the four locations of the study.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01
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=S0006-87052012000100018
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000100018
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0006-87052012005000004
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.71 n.1 2012
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
instacron_str IAC
institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
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