Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Combining Multiscale Filtering and Neural Networks for Local Rainfall Forecast
Year:2017
Research Areas
  • Engineering
Information
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.
International
Si
JCR
Si
Title
Lecture Notes in Computer Science
ISBN
0302-9743
Impact factor JCR
0,402
Impact info
Volume
10338
10.1007/978-3-319-59773-7_49
Journal number
II
From page
481
To page
490
Month
SIN MES
Ranking
Participants
  • Autor: Fulgencio Buendia Buendia (UPM)
  • Autor: Gabriel Buendía Moya (AEMET en Castilla y León)
  • Autor: Diego Andina De la Fuente (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)