Dynamic bayesian networks for rainfall forecasting

In this paper we deal with the problem of forecasting local rainfall at multiple meteorological stations over the Iberian peninsula. To this aim a dynamic Bayesian network is introduced for relating rainfall to broad-scale atmospheric circulation patterns. In this way statistical historic informati...

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Detalles Bibliográficos
Autores principales: Gutiérrez Llorente, José Manuel, Cano, R.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2001
Materias:
Ciencias Informáticas
Learning
informática
Weather forecasting
downscaling
expert systems
probabilistic networks
temporal modeling
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23299
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23299
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Learning
informática
Weather forecasting
downscaling
expert systems
probabilistic networks
temporal modeling
spellingShingle Ciencias Informáticas
Learning
informática
Weather forecasting
downscaling
expert systems
probabilistic networks
temporal modeling
Gutiérrez Llorente, José Manuel
Cano, R.
Dynamic bayesian networks for rainfall forecasting
topic_facet Ciencias Informáticas
Learning
informática
Weather forecasting
downscaling
expert systems
probabilistic networks
temporal modeling
description In this paper we deal with the problem of forecasting local rainfall at multiple meteorological stations over the Iberian peninsula. To this aim a dynamic Bayesian network is introduced for relating rainfall to broad-scale atmospheric circulation patterns. In this way statistical historic information gathered at the available stations is combined with numerical atmospheric predictions developed at different weather services, resulting a single consensus prediction. This technique can be considered an hybrid statistical-numerical method for precipitation downscaling (predicting local values based on broad-scale grided predictions), and can be easily adapted to other meteorological variables of interest.
format Objeto de conferencia
Objeto de conferencia
author Gutiérrez Llorente, José Manuel
Cano, R.
author_facet Gutiérrez Llorente, José Manuel
Cano, R.
author_sort Gutiérrez Llorente, José Manuel
title Dynamic bayesian networks for rainfall forecasting
title_short Dynamic bayesian networks for rainfall forecasting
title_full Dynamic bayesian networks for rainfall forecasting
title_fullStr Dynamic bayesian networks for rainfall forecasting
title_full_unstemmed Dynamic bayesian networks for rainfall forecasting
title_sort dynamic bayesian networks for rainfall forecasting
publishDate 2001
url http://sedici.unlp.edu.ar/handle/10915/23299
work_keys_str_mv AT gutierrezllorentejosemanuel dynamicbayesiannetworksforrainfallforecasting
AT canor dynamicbayesiannetworksforrainfallforecasting
bdutipo_str Repositorios
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