Abstract
In this paper we spatially interpolate hourly runoff data by a Top-kriging (Skøien 2006) approach and compare the results with ordinary kriging and a deterministic rainfall-runoff model. Cross-validation indicates that the Top-kriging approach performs better than both ordinary kriging and the deterministic model for a large number of catchments in Austria. We suggest that the Top-kriging approach can be used for filling in temporal gaps in observed runoff time series and for real time spatial mapping of the flow situation.
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© 2008 Springer Science+Business Media B.V.
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Skøien, J.O., Blöschl, G. (2008). Topological Kriging of Runoff. In: Soares, A., Pereira, M.J., Dimitrakopoulos, R. (eds) geoENV VI – Geostatistics for Environmental Applications. Quantitative Geology and Geostatistics, vol 15. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6448-7_19
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DOI: https://doi.org/10.1007/978-1-4020-6448-7_19
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-6447-0
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