Local Rainfall Forecast System based on Time Series Analysis and Neural Networks

Buendia Buendia, Fulgencio and Tarquis Alfonso, Ana Maria and Buendia, G. and Andina de la Fuente, Diego (2010). Local Rainfall Forecast System based on Time Series Analysis and Neural Networks. In: "European Geosciences Union General Assembly 2010", 02/05/2010 - 07/05/2010, Viena, Austria.

Description

Title: Local Rainfall Forecast System based on Time Series Analysis and Neural Networks
Author/s:
  • Buendia Buendia, Fulgencio
  • Tarquis Alfonso, Ana Maria
  • Buendia, G.
  • Andina de la Fuente, Diego
Item Type: Presentation at Congress or Conference (Poster)
Event Title: European Geosciences Union General Assembly 2010
Event Dates: 02/05/2010 - 07/05/2010
Event Location: Viena, Austria
Title of Book: Geophysical Research Abstracts
Date: 2010
Volume: 12
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Matemática Aplicada a la Ingeniería Agronómica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Rainfall is one of the most important events in daily life of human beings. During several decades, scientists have been trying to characterize the weather, current forecasts are based on high complex dynamic models. In this paper is presented a local rainfall forecast system based on Time Series analysis and Neural Networks. This model tries to complement the currently state of the art ensembles, from a locally historical perspective, where the model definition is not so dependent from the exact values of the initial conditions. After several year taking data, expert meteorologists proposed this approximation to characterize the local weather behavior, that is being automated by this system in different stages. However the whole system is introduced, it is focused on the different rainfall events situation classification as well as the time series analysis and forecast

More information

Item ID: 8066
DC Identifier: http://oa.upm.es/8066/
OAI Identifier: oai:oa.upm.es:8066
Deposited by: Memoria Investigacion
Deposited on: 03 Jan 2012 11:49
Last Modified: 20 Apr 2016 16:59
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