Interpolation of Precipitation for Flood Modelling

Chapter

Abstract

This chapter discusses possibilities for the spatial estimation of rainfall for flood modelling. It is assumed, that some high time resolution point measurements from a network of recording rainfall gauges are available as basic information. Conventional and geostatistical methods are presented for the spatial interpolation of the point measurements to raster cells and areas. The focus here is on the application of stationary and non-stationary geostatistical methods. The latter are able to utilise additional information e.g. from daily non-recording stations, weather radar and elevation for the estimation of mean areal rainfall. Alternatively, methods for conditional spatial simulation of precipitation are discussed. Those simulation approaches preserve the high spatial variability of rainfall and can be used for uncertainty assessment. Two examples regarding flood modelling are presented at the end of the chapter. The first one deals with interpolation of hourly rainfall using radar as additional information. The second one compares the application of precipitation data obtained from interpolation and simulation for rainfall-runoff modelling.

Keywords

Nearest Neighbour Ordinary Kriging Inverse Distance Weighting Sequential Simulation Simple Kriging 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Institute for Water Resources Management, Hydrology and Agricultural Hydraulic EngineeringLeibniz Universität HannoverHannoverGermany

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