Memorias de investigación
Communications at congresses:
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
Congress
IWINAC 2017 - International Work-conference on the Interplay between Natural and Artificial Computation
960
Place
La Coruña, Spain.
Reviewers
Si
ISBN/ISSN
978-3-319-59772-0
10.1007/978-3-319-59773-7 49
Start Date
19/06/2017
End Date
23/06/2017
From page
481
To page
490
Biomedical Applications Based on Natural and Artificial Computing: International Work-Conference on the Interplay Between Natural and Artificial Computation, Proceedings, Part II.
Participants
  • Autor: Fulgencio Buendia Buendia UPM
  • Autor: Juan Fombellida Vetas UPM
  • : Gabriel Bunedía Moya AEMET
  • 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