Neural network prediction of monthly precipitation: Application to summer flood occurrence in two regions of Central Europe

Louise Bodri, Vladimír Čermák

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Artificial Neural Network (ANN) models were used to forecast precipitation. Three-layer back propagation ANNs were trained with actual monthly precipitation data from six Czesh and four Hungarian meteorological stations for the period 1961-1998. The predicted amounts are the next month's precipitation. Both training and testing ANN results provided a good fit with the actual data and displayed high feasibility in predicting extreme precipitation.

Original languageEnglish
Pages (from-to)155-167
Number of pages13
JournalStudia Geophysica et Geodaetica
Volume45
Issue number2
DOIs
Publication statusPublished - Jan 1 2001

Keywords

  • Flood
  • Neural network
  • Precipitation
  • Prediction

ASJC Scopus subject areas

  • Geophysics
  • Geochemistry and Petrology

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