Memorias de investigación
Artículos en revistas:
Combining Multiscale Filtering and Neural Networks for Local Rainfall Forecast
Año:2017
Áreas de investigación
  • Ingenierías
Datos
Descripción
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.
Internacional
Si
JCR del ISI
Si
Título de la revista
Lecture Notes in Computer Science
ISSN
0302-9743
Factor de impacto JCR
0,402
Información de impacto
Volumen
10338
DOI
10.1007/978-3-319-59773-7_49
Número de revista
II
Desde la página
481
Hasta la página
490
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Fulgencio Buendia Buendia UPM
  • Autor: Gabriel Buendía Moya AEMET en Castilla y León
  • Autor: Diego Andina De la Fuente UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones