Spatial and temporal variability of droughts in Portugal

Detalhes bibliográficos
Autor(a) principal: Santos, João Filipe
Data de Publicação: 2010
Outros Autores: Pulido-Calvo, Inmaculada, Portela, Maria Manuela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://comum.rcaap.pt/handle/123456789/1298
Resumo: An analysis of droughts in Mainland Portugal based on monthly precipitation data, from September 1910 to October 2004, in 144 rain gages distributed uniformly over the country is presented. The drought events were characterized by means of the Standardized Precipitation Index (SPI) applied to different time scales (1, 6 and 12 consecutive months and 6 months from April to September and 12 months from October to September). To assess spatial and temporal patterns of droughts, a principal component analysis (PCA) and K means clustering (KMC) were applied to the SPI series. By this way three different and spatially well-defined regions with different temporal evolution of droughts were identified (north, central and south regions of Portugal). A spectral analysis of the SPI patterns obtained with principal component analysis and clusters analysis, using the fast Fourier transform algorithm (FFT), showed that there is a manifest 3.6-years cycle in the SPI pattern in the south of Portugal and evident 2.4-year and 13.4-year cycles in the north of Portugal. The observation of the drought periods supports the occurrence of more frequent cycles of dry events in the south (droughts from moderate to extreme approximately every 3.6 years) than in the north (droughts from severe to extreme approximately every 13.4 years). These results suggest a much stronger immediate influence of the NAO in the south than in the north of Portugal, although these relations remain a challenging task.
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spelling Spatial and temporal variability of droughts in PortugalStandardized Precipitation Index (SPI)Principal component analysis (PCA)Clusters analysisFast fourier transform (FFT)An analysis of droughts in Mainland Portugal based on monthly precipitation data, from September 1910 to October 2004, in 144 rain gages distributed uniformly over the country is presented. The drought events were characterized by means of the Standardized Precipitation Index (SPI) applied to different time scales (1, 6 and 12 consecutive months and 6 months from April to September and 12 months from October to September). To assess spatial and temporal patterns of droughts, a principal component analysis (PCA) and K means clustering (KMC) were applied to the SPI series. By this way three different and spatially well-defined regions with different temporal evolution of droughts were identified (north, central and south regions of Portugal). A spectral analysis of the SPI patterns obtained with principal component analysis and clusters analysis, using the fast Fourier transform algorithm (FFT), showed that there is a manifest 3.6-years cycle in the SPI pattern in the south of Portugal and evident 2.4-year and 13.4-year cycles in the north of Portugal. The observation of the drought periods supports the occurrence of more frequent cycles of dry events in the south (droughts from moderate to extreme approximately every 3.6 years) than in the north (droughts from severe to extreme approximately every 13.4 years). These results suggest a much stronger immediate influence of the NAO in the south than in the north of Portugal, although these relations remain a challenging task.American Geophysical Union2011-09-26T10:09:02Z2010-01-01T00:00:00Z2010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://comum.rcaap.pt/handle/123456789/1298engSantos, João FilipePulido-Calvo, InmaculadaPortela, Maria Manuelainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-06-23T07:46:21Zoai:repositorio.ipbeja.pt:20.500.12207/232Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T14:58:06.449894Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Spatial and temporal variability of droughts in Portugal
title Spatial and temporal variability of droughts in Portugal
spellingShingle Spatial and temporal variability of droughts in Portugal
Santos, João Filipe
Standardized Precipitation Index (SPI)
Principal component analysis (PCA)
Clusters analysis
Fast fourier transform (FFT)
title_short Spatial and temporal variability of droughts in Portugal
title_full Spatial and temporal variability of droughts in Portugal
title_fullStr Spatial and temporal variability of droughts in Portugal
title_full_unstemmed Spatial and temporal variability of droughts in Portugal
title_sort Spatial and temporal variability of droughts in Portugal
author Santos, João Filipe
author_facet Santos, João Filipe
Pulido-Calvo, Inmaculada
Portela, Maria Manuela
author_role author
author2 Pulido-Calvo, Inmaculada
Portela, Maria Manuela
author2_role author
author
dc.contributor.author.fl_str_mv Santos, João Filipe
Pulido-Calvo, Inmaculada
Portela, Maria Manuela
dc.subject.por.fl_str_mv Standardized Precipitation Index (SPI)
Principal component analysis (PCA)
Clusters analysis
Fast fourier transform (FFT)
topic Standardized Precipitation Index (SPI)
Principal component analysis (PCA)
Clusters analysis
Fast fourier transform (FFT)
description An analysis of droughts in Mainland Portugal based on monthly precipitation data, from September 1910 to October 2004, in 144 rain gages distributed uniformly over the country is presented. The drought events were characterized by means of the Standardized Precipitation Index (SPI) applied to different time scales (1, 6 and 12 consecutive months and 6 months from April to September and 12 months from October to September). To assess spatial and temporal patterns of droughts, a principal component analysis (PCA) and K means clustering (KMC) were applied to the SPI series. By this way three different and spatially well-defined regions with different temporal evolution of droughts were identified (north, central and south regions of Portugal). A spectral analysis of the SPI patterns obtained with principal component analysis and clusters analysis, using the fast Fourier transform algorithm (FFT), showed that there is a manifest 3.6-years cycle in the SPI pattern in the south of Portugal and evident 2.4-year and 13.4-year cycles in the north of Portugal. The observation of the drought periods supports the occurrence of more frequent cycles of dry events in the south (droughts from moderate to extreme approximately every 3.6 years) than in the north (droughts from severe to extreme approximately every 13.4 years). These results suggest a much stronger immediate influence of the NAO in the south than in the north of Portugal, although these relations remain a challenging task.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01T00:00:00Z
2010-01-01T00:00:00Z
2011-09-26T10:09:02Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://comum.rcaap.pt/handle/123456789/1298
url http://comum.rcaap.pt/handle/123456789/1298
dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv American Geophysical Union
publisher.none.fl_str_mv American Geophysical Union
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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