Monthly prediction of drought classes using log-linear models under the influence of NAO for early-warning of drought and water management
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.3390/w10010065 |
Resumo: | SFRH/BPD/99757/2014 This work was partially supported by the projects IMDROFLOOD-Improving Drought and Flood Early Warning, Forecasting and Mitigation using real-time hydroclimatic indicators (WaterJPI/0004/2014) and project UID/MAT/00297/2013 (Centro de Matematica e Aplicacoes), both funded by funded by Fundacao para a Ciencia e a Tecnologia, Portugal (FCT). Ana Russo thanks also FCT by the Post-Doc research grant SFRH/BPD/99757/2014. |
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Monthly prediction of drought classes using log-linear models under the influence of NAO for early-warning of drought and water managementDrought classesLog-linear modelingNorth Atlantic Oscillation (NAO)PersistenceStandardized Precipitation and Evapotranspiration Index (SPEI)Standardized Precipitation Index (SPI)BiochemistryGeography, Planning and DevelopmentAquatic ScienceWater Science and TechnologySDG 13 - Climate ActionSFRH/BPD/99757/2014 This work was partially supported by the projects IMDROFLOOD-Improving Drought and Flood Early Warning, Forecasting and Mitigation using real-time hydroclimatic indicators (WaterJPI/0004/2014) and project UID/MAT/00297/2013 (Centro de Matematica e Aplicacoes), both funded by funded by Fundacao para a Ciencia e a Tecnologia, Portugal (FCT). Ana Russo thanks also FCT by the Post-Doc research grant SFRH/BPD/99757/2014.Drought class transitions over a sector of Eastern Europe were modeled using log-linear models. These drought class transitions were computed from time series of two widely used multiscale drought indices, the Standardized Preipitation Evapotranspiration Index (SPEI) and the Standardized Precipitation Index (SPI), with temporal scales of 6 and 12 months for 15 points selected from a grid over the Prut basin in Romania over a period of 112 years (1902-2014). The modeling also took into account the impact of North Atlantic Oscillation (NAO), exploring the potential influence of this large-scale atmospheric driver on the climate of the Prut region. To assess the probability of transition among different drought classes we computed their odds and the corresponding confidence intervals. To evaluate the predictive capabilities of the modeling, skill scores were computed and used for comparison against benchmark models, namely using persistence forecasts or modeling without the influence of the NAO index. The main results indicate that the log-linear modeling performs consistently better than the persistence forecast, and the highest improvements obtained in the skill scores with the introduction of the NAO predictor in the modeling are obtained when modeling the extended winter months of the SPEI6 and SPI12. The improvements are however not impressive, ranging between 4.7 and 6.8 for the SPEI6 and between 4.1 and 10.1 for the SPI12, in terms of the Heidke skill score.CMA - Centro de Matemática e AplicaçõesRUNMoreira, ElsaRusso, AnaTrigo, Ricardo M.2019-04-02T22:16:13Z2018-01-122018-01-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.3390/w10010065eng2073-4441PURE: 11651289http://www.scopus.com/inward/record.url?scp=85040779526&partnerID=8YFLogxKhttps://doi.org/10.3390/w10010065info: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:RCAAP2024-03-11T04:31:06Zoai:run.unl.pt:10362/65376Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:34:19.676414Repositório 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 |
Monthly prediction of drought classes using log-linear models under the influence of NAO for early-warning of drought and water management |
title |
Monthly prediction of drought classes using log-linear models under the influence of NAO for early-warning of drought and water management |
spellingShingle |
Monthly prediction of drought classes using log-linear models under the influence of NAO for early-warning of drought and water management Moreira, Elsa Drought classes Log-linear modeling North Atlantic Oscillation (NAO) Persistence Standardized Precipitation and Evapotranspiration Index (SPEI) Standardized Precipitation Index (SPI) Biochemistry Geography, Planning and Development Aquatic Science Water Science and Technology SDG 13 - Climate Action |
title_short |
Monthly prediction of drought classes using log-linear models under the influence of NAO for early-warning of drought and water management |
title_full |
Monthly prediction of drought classes using log-linear models under the influence of NAO for early-warning of drought and water management |
title_fullStr |
Monthly prediction of drought classes using log-linear models under the influence of NAO for early-warning of drought and water management |
title_full_unstemmed |
Monthly prediction of drought classes using log-linear models under the influence of NAO for early-warning of drought and water management |
title_sort |
Monthly prediction of drought classes using log-linear models under the influence of NAO for early-warning of drought and water management |
author |
Moreira, Elsa |
author_facet |
Moreira, Elsa Russo, Ana Trigo, Ricardo M. |
author_role |
author |
author2 |
Russo, Ana Trigo, Ricardo M. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
CMA - Centro de Matemática e Aplicações RUN |
dc.contributor.author.fl_str_mv |
Moreira, Elsa Russo, Ana Trigo, Ricardo M. |
dc.subject.por.fl_str_mv |
Drought classes Log-linear modeling North Atlantic Oscillation (NAO) Persistence Standardized Precipitation and Evapotranspiration Index (SPEI) Standardized Precipitation Index (SPI) Biochemistry Geography, Planning and Development Aquatic Science Water Science and Technology SDG 13 - Climate Action |
topic |
Drought classes Log-linear modeling North Atlantic Oscillation (NAO) Persistence Standardized Precipitation and Evapotranspiration Index (SPEI) Standardized Precipitation Index (SPI) Biochemistry Geography, Planning and Development Aquatic Science Water Science and Technology SDG 13 - Climate Action |
description |
SFRH/BPD/99757/2014 This work was partially supported by the projects IMDROFLOOD-Improving Drought and Flood Early Warning, Forecasting and Mitigation using real-time hydroclimatic indicators (WaterJPI/0004/2014) and project UID/MAT/00297/2013 (Centro de Matematica e Aplicacoes), both funded by funded by Fundacao para a Ciencia e a Tecnologia, Portugal (FCT). Ana Russo thanks also FCT by the Post-Doc research grant SFRH/BPD/99757/2014. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-12 2018-01-12T00:00:00Z 2019-04-02T22:16:13Z |
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 |
https://doi.org/10.3390/w10010065 |
url |
https://doi.org/10.3390/w10010065 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2073-4441 PURE: 11651289 http://www.scopus.com/inward/record.url?scp=85040779526&partnerID=8YFLogxK https://doi.org/10.3390/w10010065 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
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 |
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1799137964447498240 |