Estimation of catchment rainfall uncertainty and its influence on runoff prediction

B. Storm, K. Høgh Jensen, J.C. Refsgaard

Publikation: Bidrag til tidsskriftArtikelForskningpeer review

23 Citationer (Scopus)


Interpolation of spatially varying point precipitation depths introduces uncertainties in the estimated mean areal precipitation (MAP). This paper describes a geostatistical approach - the Kriging method - to calculate the daily MAP on real-time basis. The procedure provides a linear unbiased estimate with minimum estimation variance. The structural analysis of the random precipitation field is automatized by relating the time-varying semivariogram model to the sample variance. This is illustrated on data from a Danish IHD catchment. The conceptual rainfall-runoff model NAM incorporated into a Kalman-filter algorithm is applied to investigate the effects of uncertainties in MAP on the runoff predictions. Measurement and processing errors are not included in the investigation. -Authors

Sider (fra-til)77-88
Antal sider12
TidsskriftNordic Hydrology
Udgave nummer2
StatusUdgivet - apr. 1988
Udgivet eksterntJa


  • Programområde 2: Vandressourcer


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