Adjustment of state space models in view of area rainfall estimation

Detalhes bibliográficos
Autor(a) principal: Costa, Marco
Data de Publicação: 2011
Outros Autores: Alpuim, Teresa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/5777
Resumo: This paper uses state space models and the Kalman filter to merge weather radar and rain gauge measurements in order to improve area rainfall estimates. Particular attention is given to the estimation of state space model parameters because precipitation data clearly deviates from the normal distribution, and the commonly used maximum likelihood method is difficult to apply and does not perform well. This work is based on 17 storms occurring between September 1998 and November 2000 in an area including part of the Alenquer river hydrographical basin. Based on these data, the work aims to investigate the importance of the parameters estimation method to the accuracy of mean area precipitation estimates. It was possible to conclude that the distribution-free estimation methods produce, in general, better mean area rainfall estimates than the maximum likelihood. Copyright (C) 2010 John Wiley & Sons, Ltd.
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spelling Adjustment of state space models in view of area rainfall estimationKalman filterstate space modelarea rainfall estimatesparameters estimationThis paper uses state space models and the Kalman filter to merge weather radar and rain gauge measurements in order to improve area rainfall estimates. Particular attention is given to the estimation of state space model parameters because precipitation data clearly deviates from the normal distribution, and the commonly used maximum likelihood method is difficult to apply and does not perform well. This work is based on 17 storms occurring between September 1998 and November 2000 in an area including part of the Alenquer river hydrographical basin. Based on these data, the work aims to investigate the importance of the parameters estimation method to the accuracy of mean area precipitation estimates. It was possible to conclude that the distribution-free estimation methods produce, in general, better mean area rainfall estimates than the maximum likelihood. Copyright (C) 2010 John Wiley & Sons, Ltd.John Wiley and Sons2012-02-03T17:11:52Z2011-06-01T00:00:00Z2011-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/5777eng1180-4009Costa, MarcoAlpuim, Teresainfo: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:RCAAP2024-02-22T11:08:45Zoai:ria.ua.pt:10773/5777Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:43:42.750569Repositório 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 Adjustment of state space models in view of area rainfall estimation
title Adjustment of state space models in view of area rainfall estimation
spellingShingle Adjustment of state space models in view of area rainfall estimation
Costa, Marco
Kalman filter
state space model
area rainfall estimates
parameters estimation
title_short Adjustment of state space models in view of area rainfall estimation
title_full Adjustment of state space models in view of area rainfall estimation
title_fullStr Adjustment of state space models in view of area rainfall estimation
title_full_unstemmed Adjustment of state space models in view of area rainfall estimation
title_sort Adjustment of state space models in view of area rainfall estimation
author Costa, Marco
author_facet Costa, Marco
Alpuim, Teresa
author_role author
author2 Alpuim, Teresa
author2_role author
dc.contributor.author.fl_str_mv Costa, Marco
Alpuim, Teresa
dc.subject.por.fl_str_mv Kalman filter
state space model
area rainfall estimates
parameters estimation
topic Kalman filter
state space model
area rainfall estimates
parameters estimation
description This paper uses state space models and the Kalman filter to merge weather radar and rain gauge measurements in order to improve area rainfall estimates. Particular attention is given to the estimation of state space model parameters because precipitation data clearly deviates from the normal distribution, and the commonly used maximum likelihood method is difficult to apply and does not perform well. This work is based on 17 storms occurring between September 1998 and November 2000 in an area including part of the Alenquer river hydrographical basin. Based on these data, the work aims to investigate the importance of the parameters estimation method to the accuracy of mean area precipitation estimates. It was possible to conclude that the distribution-free estimation methods produce, in general, better mean area rainfall estimates than the maximum likelihood. Copyright (C) 2010 John Wiley & Sons, Ltd.
publishDate 2011
dc.date.none.fl_str_mv 2011-06-01T00:00:00Z
2011-06
2012-02-03T17:11:52Z
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://hdl.handle.net/10773/5777
url http://hdl.handle.net/10773/5777
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1180-4009
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.publisher.none.fl_str_mv John Wiley and Sons
publisher.none.fl_str_mv John Wiley and Sons
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
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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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