Combining multiscale filtering and neural networks for local rainfall forecast

Buendía Buendía, Fulgencio and Buendía Moya, Gabriel and Andina de la Fuente, Diego (2017). Combining multiscale filtering and neural networks for local rainfall forecast. In: "International Work-Conference on the Interplay Between Natural and Artificial Computation ( IWINAC 2017)", 19/06/2017 - 23/06/2017, A Coruña, Spain. pp. 481-490. https://doi.org/10.1007/978-3-319-59773-7_49.

Description

Title: Combining multiscale filtering and neural networks for local rainfall forecast
Author/s:
  • Buendía Buendía, Fulgencio
  • Buendía Moya, Gabriel
  • Andina de la Fuente, Diego
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Work-Conference on the Interplay Between Natural and Artificial Computation ( IWINAC 2017)
Event Dates: 19/06/2017 - 23/06/2017
Event Location: A Coruña, Spain
Title of Book: Biomedical Applications Based on Natural and Artificial Computing
Date: 2017
Subjects:
Freetext Keywords: Rainfall, forecast, wavelet, neural networks, Multispectral analysis
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Rainfall is one of the most important events of human life and society. Some rainfall phenomena like floods or hailstone are a threat to agriculture, business and even life. Predicting the weather has emerged as one of the most important areas of scientific endeavour. Nowadays, there is a big effort and great developments in long and mid-term rainfall forecasts, where qualitative improvements have been obtained both in forecasts and verification. This work proposes a diverse local rainfall forecasting system, using a long term local measurements registry. The forecast is performed estimating pressure time series and processing them with multispectral wavelet analysis and Neural Networks. The aim of the study is to provide complementary criteria based on the observed pressure wave pattern repetition. This method was proposed by expert meteorologists after observing these events during 40 years.

More information

Item ID: 50323
DC Identifier: http://oa.upm.es/50323/
OAI Identifier: oai:oa.upm.es:50323
DOI: 10.1007/978-3-319-59773-7_49
Official URL: https://link.springer.com/chapter/10.1007/978-3-319-59773-7_49
Deposited by: Memoria Investigacion
Deposited on: 30 Oct 2018 15:50
Last Modified: 30 Oct 2018 15:50
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