Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , |
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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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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 |
url |
http://www.scopus.com/inward/record.url?scp=77949667240&partnerID=8YFLogxK |
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 |
dc.format.none.fl_str_mv |
10 application/pdf |
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 |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
repository.mail.fl_str_mv |
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1799137963665260544 |