Memorias de investigación
Ponencias en congresos:
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
Nombre congreso
IWINAC 2017 - International Work-conference on the Interplay between Natural and Artificial Computation
Tipo de participación
960
Lugar del congreso
La Coruña, Spain.
Revisores
Si
ISBN o ISSN
978-3-319-59772-0
DOI
10.1007/978-3-319-59773-7 49
Fecha inicio congreso
19/06/2017
Fecha fin congreso
23/06/2017
Desde la página
481
Hasta la página
490
Título de las actas
Biomedical Applications Based on Natural and Artificial Computing: International Work-Conference on the Interplay Between Natural and Artificial Computation, Proceedings, Part II.
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Fulgencio Buendia Buendia UPM
  • Autor: Juan Fombellida Vetas UPM
  • : Gabriel Bunedía Moya AEMET
  • 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