Skip to main content
Log in

Neural Network Prediction of Monthly Precipitation: Application to Summer Flood Occurrence in Two Regions of Central Europe

  • Published:
Studia Geophysica et Geodaetica Aims and scope Submit manuscript

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 Czech 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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Blažková S. and Beven K., 1997: Flood frequency prediction for data limited catchments in the Czech Republic using a stochastic rainfall model and TOPMODEL. J. Hydrol, 195, 256-278.

    Article  Google Scholar 

  • Bodri L., 2001: Precipitation prediction with neural networks. Acta Geodaet.Geophys.Hung. (in press).

  • Bodri L. and Čermák V., 2000. Prediction of extreme precipitation using a neural network: application to summer flood occurrence in Moravia. Adv.Eng.Soft., 31, 311-321.

    Article  Google Scholar 

  • Flood I. and Kartam N., 1994: Neural networks in civil engineering. I: Principles and understanding. J.Comp.Civ.Eng., 8, 131-148.

    Article  Google Scholar 

  • French M.N., Krajewski W.F. and Cuykendall R.R., 1992: Rainfall forecasting in space and time using a neural network. J.Hydrol., 137, 1-31.

    Article  Google Scholar 

  • Gleisner H., Lundstedt H. and Wintoft P., 1996: Predicting geomagnetic storms from solar-wind data using time-delay neural networks. Ann.Geophysicae, 14, 679-686.

    Article  Google Scholar 

  • Grubert J.P., 1995: Prediction of estuarine instabilities with artificial neural networks. J.Comp.Civ.Eng., 9, 266-274.

    Article  Google Scholar 

  • Hirose Y., Yamashita K. and Hijiya S., 1991: Back-propagation algorithm which varies the number of hidden units. Neural Networks, 4, 61-66.

    Article  Google Scholar 

  • Hrádek M. (Ed.), 1995: Natural Hazards in the Czech Republic, Brno. Studio Geographica, 98, pp.162.

  • Luk K.C., Ball J.E. and Sharma A., 2000: A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting. J.Hydrol., 227, 56-65.

    Article  Google Scholar 

  • Mihalakakou G., Santatouris M. and Asimakopoulos D., 1998: Modeling ambient air temperature time series using neural networks. J.Geophys.Res., 103, 19509-19517.

    Article  Google Scholar 

  • Raman H. and Chandramouli H., 1996: Deriving a general operating policy for reservoirs using neural networks. J.Wat.Resour.Plan.Man., 122, 342-347.

    Article  Google Scholar 

  • Rumelhart D.E., Hinton G.E. and Williams R.S., 1986: Learning internal representations by errorpropagation. In Rumelhart, D.E. and McClelland, J.L. (Eds), Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol.1: Foundations, MIT Press, Cambridge, MA.

    Chapter  Google Scholar 

  • Sajikumar N. and Thandareswara B.S., 1999: A non-linear rainfall-runoff model using an artificial neural network. J.Hydrol., 216, 32-55.

    Article  Google Scholar 

  • Zealand C.M., Burn D.H. and Simonovic S.P., 1999: Short term streamflow forecasting using artificial neural network. J.Hydrol., 214, 32-48.

    Article  Google Scholar 

  • Zurada J.M., 1992: Introduction to artificial neural systems, West Publishing Co., St.Paul, Minn., pp.237.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bodri, L., Čermák, V. Neural Network Prediction of Monthly Precipitation: Application to Summer Flood Occurrence in Two Regions of Central Europe. Studia Geophysica et Geodaetica 45, 155–167 (2001). https://doi.org/10.1023/A:1021864227759

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1021864227759

Navigation