A geostatistical exploratory analysis of precipitation extremes in southern Portugal

Detalhes bibliográficos
Autor(a) principal: Costa, Ana Cristina
Data de Publicação: 2008
Outros Autores: Durão, Rita, Soares, Amilcar, Pereira, Maria João
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://www.ine.pt/revstat/pdf/rs080102.pdf
Resumo: In Mediterranean climate regions, prolonged periods of unusually dry conditions reduce the availability of water resources and affect vegetation cover; while other areas can be affected by an increase in the number of heavy precipitation events, with an increase in the flood risk. Issues such as drought and erosive rainfall have been raising concern about the risks of land degradation and desertification. The main objective of this paper is to provide an insight of the geographic distribution of extreme precipitation events in the Southern region of continental Portugal, as a basis for a future study of the relationships between extreme rainfall patterns, both spatial and temporal, and desertification processes. The data used in this study are a set of 105 station records with daily precipitation observations for the period 1940–1999. This 60-year period was chosen to optimize data availability across the region, taking into consideration the quality control analysis performed. Among the numerous indices of extreme precipitation described in the literature, we selected three of them for an exploratory analysis: one index representing dry conditions, another one representing extremely heavy precipitation events and another index representing flood events. For each of these three indices, yearly trends and decadal space-time patterns are investigated. The results show no significant trends in the regional extreme indices. The geostatistical study concluded that the spatial patterns are more continuous in the last decade than the other ones before. The preliminary results of this study agree with other similar studies of the same region reported in the literature.
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spelling A geostatistical exploratory analysis of precipitation extremes in southern Portugalindices of precipitation extremesgeostatistical approachsouthern PortugalSDG 13 - Climate ActionSDG 15 - Life on LandIn Mediterranean climate regions, prolonged periods of unusually dry conditions reduce the availability of water resources and affect vegetation cover; while other areas can be affected by an increase in the number of heavy precipitation events, with an increase in the flood risk. Issues such as drought and erosive rainfall have been raising concern about the risks of land degradation and desertification. The main objective of this paper is to provide an insight of the geographic distribution of extreme precipitation events in the Southern region of continental Portugal, as a basis for a future study of the relationships between extreme rainfall patterns, both spatial and temporal, and desertification processes. The data used in this study are a set of 105 station records with daily precipitation observations for the period 1940–1999. This 60-year period was chosen to optimize data availability across the region, taking into consideration the quality control analysis performed. Among the numerous indices of extreme precipitation described in the literature, we selected three of them for an exploratory analysis: one index representing dry conditions, another one representing extremely heavy precipitation events and another index representing flood events. For each of these three indices, yearly trends and decadal space-time patterns are investigated. The results show no significant trends in the regional extreme indices. The geostatistical study concluded that the spatial patterns are more continuous in the last decade than the other ones before. The preliminary results of this study agree with other similar studies of the same region reported in the literature.NOVA Information Management School (NOVA IMS)RUNCosta, Ana CristinaDurão, RitaSoares, AmilcarPereira, Maria João2018-01-11T23:23:02Z2008-032008-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfhttp://www.ine.pt/revstat/pdf/rs080102.pdfeng1645-6726PURE: 3264095http://www.ine.pt/revstat/pdf/rs080102.pdfinfo: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:RCAAP2024-03-11T04:14:58Zoai:run.unl.pt:10362/28028Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:28:51.045685Repositório 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 A geostatistical exploratory analysis of precipitation extremes in southern Portugal
title A geostatistical exploratory analysis of precipitation extremes in southern Portugal
spellingShingle A geostatistical exploratory analysis of precipitation extremes in southern Portugal
Costa, Ana Cristina
indices of precipitation extremes
geostatistical approach
southern Portugal
SDG 13 - Climate Action
SDG 15 - Life on Land
title_short A geostatistical exploratory analysis of precipitation extremes in southern Portugal
title_full A geostatistical exploratory analysis of precipitation extremes in southern Portugal
title_fullStr A geostatistical exploratory analysis of precipitation extremes in southern Portugal
title_full_unstemmed A geostatistical exploratory analysis of precipitation extremes in southern Portugal
title_sort A geostatistical exploratory analysis of precipitation extremes in southern Portugal
author Costa, Ana Cristina
author_facet Costa, Ana Cristina
Durão, Rita
Soares, Amilcar
Pereira, Maria João
author_role author
author2 Durão, Rita
Soares, Amilcar
Pereira, Maria João
author2_role author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Costa, Ana Cristina
Durão, Rita
Soares, Amilcar
Pereira, Maria João
dc.subject.por.fl_str_mv indices of precipitation extremes
geostatistical approach
southern Portugal
SDG 13 - Climate Action
SDG 15 - Life on Land
topic indices of precipitation extremes
geostatistical approach
southern Portugal
SDG 13 - Climate Action
SDG 15 - Life on Land
description In Mediterranean climate regions, prolonged periods of unusually dry conditions reduce the availability of water resources and affect vegetation cover; while other areas can be affected by an increase in the number of heavy precipitation events, with an increase in the flood risk. Issues such as drought and erosive rainfall have been raising concern about the risks of land degradation and desertification. The main objective of this paper is to provide an insight of the geographic distribution of extreme precipitation events in the Southern region of continental Portugal, as a basis for a future study of the relationships between extreme rainfall patterns, both spatial and temporal, and desertification processes. The data used in this study are a set of 105 station records with daily precipitation observations for the period 1940–1999. This 60-year period was chosen to optimize data availability across the region, taking into consideration the quality control analysis performed. Among the numerous indices of extreme precipitation described in the literature, we selected three of them for an exploratory analysis: one index representing dry conditions, another one representing extremely heavy precipitation events and another index representing flood events. For each of these three indices, yearly trends and decadal space-time patterns are investigated. The results show no significant trends in the regional extreme indices. The geostatistical study concluded that the spatial patterns are more continuous in the last decade than the other ones before. The preliminary results of this study agree with other similar studies of the same region reported in the literature.
publishDate 2008
dc.date.none.fl_str_mv 2008-03
2008-03-01T00:00:00Z
2018-01-11T23:23:02Z
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dc.language.iso.fl_str_mv eng
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http://www.ine.pt/revstat/pdf/rs080102.pdf
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