Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation

Detalhes bibliográficos
Autor(a) principal: Costa, Ana Cristina
Data de Publicação: 2010
Outros Autores: Soares, Amilcar, Pereira, Maria João, Durão, Rita
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://www.scopus.com/inward/record.url?scp=77949667240&partnerID=8YFLogxK
Resumo: Costa, A. C., Soares, A., Pereira, M. J., & Durão, R. (2010). Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation. WSEAS Transactions on Environment and Development, 6(1), 44-53.
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spelling Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevationClimate dynamicsDirect sequential cosimulationGeostatisticsLocal trendsPrecipitation indicesSpace-time patternsStochastic simulationUncertaintyEnvironmental EngineeringEnvironmental ChemistryEcological ModellingDevelopmentWaste Management and DisposalManagement, Monitoring, Policy and LawSDG 13 - Climate ActionCosta, A. C., Soares, A., Pereira, M. J., & Durão, R. (2010). Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation. WSEAS Transactions on Environment and Development, 6(1), 44-53.This study evaluates local dynamics in extreme precipitation frequency from 1940 to 1999 in the South of Portugal. The analysis is based on a climate index defined by the annual count of days with precipitation above the 30 mm threshold (R30mm). The space-time scenarios of this index, and their uncertainty evaluation, were produced through direct sequential cosimulation (coDSS) with elevation. The methodology incorporates space-time models that follow the premises that elevation and precipitation extremes may interact differently both in time and space. The results indicate that the relationship between elevation and the R30mm index has decreased through time over the study region, especially in the southeast area. Furthermore, the spatial patterns of the extreme precipitation index have become more homogenous during the last decades of the twentieth century. The more frequent heavy rainfall events occur in the mountainous areas of the South, which are desertification prone areas at risk of water erosion and floods. As expected, the space-time scenarios have greater spatial variability at regions less densely sampled. However, the uncertainty in mountainous regions is noticeably small given that elevation was used as secondary exhaustive information. The coDSS proved to be a valuable tool to deepen the knowledge on the local dynamics of the extreme precipitation frequency.NOVA Information Management School (NOVA IMS)RUNCosta, Ana CristinaSoares, AmilcarPereira, Maria JoãoDurão, Rita2019-03-28T23:29:41Z2010-01-012010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttp://www.scopus.com/inward/record.url?scp=77949667240&partnerID=8YFLogxKeng1790-5079PURE: 12358157http://www.scopus.com/inward/record.url?scp=77949667240&partnerID=8YFLogxKinfo: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:RCAAP2024-03-11T04:30:50Zoai:run.unl.pt:10362/64923Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:34:13.380728Repositório 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 Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation
title Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation
spellingShingle Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation
Costa, Ana Cristina
Climate dynamics
Direct sequential cosimulation
Geostatistics
Local trends
Precipitation indices
Space-time patterns
Stochastic simulation
Uncertainty
Environmental Engineering
Environmental Chemistry
Ecological Modelling
Development
Waste Management and Disposal
Management, Monitoring, Policy and Law
SDG 13 - Climate Action
title_short Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation
title_full Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation
title_fullStr Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation
title_full_unstemmed Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation
title_sort Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation
author Costa, Ana Cristina
author_facet Costa, Ana Cristina
Soares, Amilcar
Pereira, Maria João
Durão, Rita
author_role author
author2 Soares, Amilcar
Pereira, Maria João
Durão, Rita
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
Soares, Amilcar
Pereira, Maria João
Durão, Rita
dc.subject.por.fl_str_mv Climate dynamics
Direct sequential cosimulation
Geostatistics
Local trends
Precipitation indices
Space-time patterns
Stochastic simulation
Uncertainty
Environmental Engineering
Environmental Chemistry
Ecological Modelling
Development
Waste Management and Disposal
Management, Monitoring, Policy and Law
SDG 13 - Climate Action
topic Climate dynamics
Direct sequential cosimulation
Geostatistics
Local trends
Precipitation indices
Space-time patterns
Stochastic simulation
Uncertainty
Environmental Engineering
Environmental Chemistry
Ecological Modelling
Development
Waste Management and Disposal
Management, Monitoring, Policy and Law
SDG 13 - Climate Action
description Costa, A. C., Soares, A., Pereira, M. J., & Durão, R. (2010). Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation. WSEAS Transactions on Environment and Development, 6(1), 44-53.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
2010-01-01T00:00:00Z
2019-03-28T23:29:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.scopus.com/inward/record.url?scp=77949667240&partnerID=8YFLogxK
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1790-5079
PURE: 12358157
http://www.scopus.com/inward/record.url?scp=77949667240&partnerID=8YFLogxK
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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