Performance analysis of real Time flood forecasting models for different forecast horizon using optimization algorithms

Autores
Alonso, Facundo; Le Moine, Nicolas; Oudin, Ludovic; Ribstein, Pierre; Bertoni, Juan Carlos; Patalano, Antoine; Ramos, Maria-Helena; Perrin, Charles; Nascimento, Nilo
Año de publicación
2016
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Fil: Alonso, Facundo. Universidad Nacional de Córdoba; Argentina.
Fil: Le Moine, Nicolas. Université Pierre et Marie Curie; Francia.
Fil: Oudin, Ludovic. Université Pierre et Marie Curie; Francia.
Fil: Ribstein, Pierre. Université Pierre et Marie Curie; Francia.
Fil: Bertoni, Juan Carlos. Universidad Nacional de Córdoba; Argentina.
Fil: Patalano, Antoine. Universidad Nacional de Córdoba; Argentina.
Fil: Ramos, Maria-Helena. IRSTEA; Francia.
Fil: Perrin, Charles. IRSTEA; Francia.
Fil: Nascimento, Nilo. Universidade Federal de Minas Gerais; Brasil.
Hydrological models are often used as real-time flood forecasting tools. When used in this forecasting mode, these models rely on real-time observed rainfall and runoff data. Their parameters can be calibrated in simulation mode, but also in forecasting mode, i.e. for a particular forecast horizon, linked to the studied watershed response time. This second option is expected to produce better forecasting results at the calibration horizon than using model parameters calibrated in simulation. However, in operational conditions, forecasters often need to produce forectasts for various lead times (typically ranging from a few hours to a few days). Thus the use of model parameters calibrated for a specific horizon may not produce optimal results over the whole forecasting time window.
Fil: Alonso, Facundo. Universidad Nacional de Córdoba; Argentina.
Fil: Le Moine, Nicolas. Université Pierre et Marie Curie; Francia.
Fil: Oudin, Ludovic. Université Pierre et Marie Curie; Francia.
Fil: Ribstein, Pierre. Université Pierre et Marie Curie; Francia.
Fil: Bertoni, Juan Carlos. Universidad Nacional de Córdoba; Argentina.
Fil: Patalano, Antoine. Universidad Nacional de Córdoba; Argentina.
Fil: Ramos, Maria-Helena. IRSTEA; Francia.
Fil: Perrin, Charles. IRSTEA; Francia.
Fil: Nascimento, Nilo. Universidade Federal de Minas Gerais; Brasil.
Otras Ingeniería Civil
Materia
Pronóstico de inundaciones
Hidrología
Gestión del riesgo de inundaciones
Pronóstico del clima
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/553467
Acceder
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oai_identifier_str oai:rdu.unc.edu.ar:11086/553467
network_acronym_str RDUUNC
repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling Performance analysis of real Time flood forecasting models for different forecast horizon using optimization algorithmsAlonso, FacundoLe Moine, NicolasOudin, LudovicRibstein, PierreBertoni, Juan CarlosPatalano, AntoineRamos, Maria-HelenaPerrin, CharlesNascimento, NiloPronóstico de inundacionesHidrologíaGestión del riesgo de inundacionesPronóstico del climaFil: Alonso, Facundo. Universidad Nacional de Córdoba; Argentina.Fil: Le Moine, Nicolas. Université Pierre et Marie Curie; Francia.Fil: Oudin, Ludovic. Université Pierre et Marie Curie; Francia.Fil: Ribstein, Pierre. Université Pierre et Marie Curie; Francia.Fil: Bertoni, Juan Carlos. Universidad Nacional de Córdoba; Argentina.Fil: Patalano, Antoine. Universidad Nacional de Córdoba; Argentina.Fil: Ramos, Maria-Helena. IRSTEA; Francia.Fil: Perrin, Charles. IRSTEA; Francia.Fil: Nascimento, Nilo. Universidade Federal de Minas Gerais; Brasil.Hydrological models are often used as real-time flood forecasting tools. When used in this forecasting mode, these models rely on real-time observed rainfall and runoff data. Their parameters can be calibrated in simulation mode, but also in forecasting mode, i.e. for a particular forecast horizon, linked to the studied watershed response time. This second option is expected to produce better forecasting results at the calibration horizon than using model parameters calibrated in simulation. However, in operational conditions, forecasters often need to produce forectasts for various lead times (typically ranging from a few hours to a few days). Thus the use of model parameters calibrated for a specific horizon may not produce optimal results over the whole forecasting time window.Fil: Alonso, Facundo. Universidad Nacional de Córdoba; Argentina.Fil: Le Moine, Nicolas. Université Pierre et Marie Curie; Francia.Fil: Oudin, Ludovic. Université Pierre et Marie Curie; Francia.Fil: Ribstein, Pierre. Université Pierre et Marie Curie; Francia.Fil: Bertoni, Juan Carlos. Universidad Nacional de Córdoba; Argentina.Fil: Patalano, Antoine. Universidad Nacional de Córdoba; Argentina.Fil: Ramos, Maria-Helena. IRSTEA; Francia.Fil: Perrin, Charles. IRSTEA; Francia.Fil: Nascimento, Nilo. Universidade Federal de Minas Gerais; Brasil.Otras Ingeniería Civil2016info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/11086/553467enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-29T13:43:02Zoai:rdu.unc.edu.ar:11086/553467Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-29 13:43:03.158Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv Performance analysis of real Time flood forecasting models for different forecast horizon using optimization algorithms
title Performance analysis of real Time flood forecasting models for different forecast horizon using optimization algorithms
spellingShingle Performance analysis of real Time flood forecasting models for different forecast horizon using optimization algorithms
Alonso, Facundo
Pronóstico de inundaciones
Hidrología
Gestión del riesgo de inundaciones
Pronóstico del clima
title_short Performance analysis of real Time flood forecasting models for different forecast horizon using optimization algorithms
title_full Performance analysis of real Time flood forecasting models for different forecast horizon using optimization algorithms
title_fullStr Performance analysis of real Time flood forecasting models for different forecast horizon using optimization algorithms
title_full_unstemmed Performance analysis of real Time flood forecasting models for different forecast horizon using optimization algorithms
title_sort Performance analysis of real Time flood forecasting models for different forecast horizon using optimization algorithms
dc.creator.none.fl_str_mv Alonso, Facundo
Le Moine, Nicolas
Oudin, Ludovic
Ribstein, Pierre
Bertoni, Juan Carlos
Patalano, Antoine
Ramos, Maria-Helena
Perrin, Charles
Nascimento, Nilo
author Alonso, Facundo
author_facet Alonso, Facundo
Le Moine, Nicolas
Oudin, Ludovic
Ribstein, Pierre
Bertoni, Juan Carlos
Patalano, Antoine
Ramos, Maria-Helena
Perrin, Charles
Nascimento, Nilo
author_role author
author2 Le Moine, Nicolas
Oudin, Ludovic
Ribstein, Pierre
Bertoni, Juan Carlos
Patalano, Antoine
Ramos, Maria-Helena
Perrin, Charles
Nascimento, Nilo
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Pronóstico de inundaciones
Hidrología
Gestión del riesgo de inundaciones
Pronóstico del clima
topic Pronóstico de inundaciones
Hidrología
Gestión del riesgo de inundaciones
Pronóstico del clima
dc.description.none.fl_txt_mv Fil: Alonso, Facundo. Universidad Nacional de Córdoba; Argentina.
Fil: Le Moine, Nicolas. Université Pierre et Marie Curie; Francia.
Fil: Oudin, Ludovic. Université Pierre et Marie Curie; Francia.
Fil: Ribstein, Pierre. Université Pierre et Marie Curie; Francia.
Fil: Bertoni, Juan Carlos. Universidad Nacional de Córdoba; Argentina.
Fil: Patalano, Antoine. Universidad Nacional de Córdoba; Argentina.
Fil: Ramos, Maria-Helena. IRSTEA; Francia.
Fil: Perrin, Charles. IRSTEA; Francia.
Fil: Nascimento, Nilo. Universidade Federal de Minas Gerais; Brasil.
Hydrological models are often used as real-time flood forecasting tools. When used in this forecasting mode, these models rely on real-time observed rainfall and runoff data. Their parameters can be calibrated in simulation mode, but also in forecasting mode, i.e. for a particular forecast horizon, linked to the studied watershed response time. This second option is expected to produce better forecasting results at the calibration horizon than using model parameters calibrated in simulation. However, in operational conditions, forecasters often need to produce forectasts for various lead times (typically ranging from a few hours to a few days). Thus the use of model parameters calibrated for a specific horizon may not produce optimal results over the whole forecasting time window.
Fil: Alonso, Facundo. Universidad Nacional de Córdoba; Argentina.
Fil: Le Moine, Nicolas. Université Pierre et Marie Curie; Francia.
Fil: Oudin, Ludovic. Université Pierre et Marie Curie; Francia.
Fil: Ribstein, Pierre. Université Pierre et Marie Curie; Francia.
Fil: Bertoni, Juan Carlos. Universidad Nacional de Córdoba; Argentina.
Fil: Patalano, Antoine. Universidad Nacional de Córdoba; Argentina.
Fil: Ramos, Maria-Helena. IRSTEA; Francia.
Fil: Perrin, Charles. IRSTEA; Francia.
Fil: Nascimento, Nilo. Universidade Federal de Minas Gerais; Brasil.
Otras Ingeniería Civil
description Fil: Alonso, Facundo. Universidad Nacional de Córdoba; Argentina.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11086/553467
url http://hdl.handle.net/11086/553467
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.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:Repositorio Digital Universitario (UNC)
instname:Universidad Nacional de Córdoba
instacron:UNC
reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
instacron_str UNC
institution UNC
repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
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score 13.070432

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