Abstract
Good quality hydrological models are available to establish the water balance over large regions. A precise spatial representation of the entries of the water cycle such as the rainfalls, is then a crucial condition to obtain reliable and accurate results. However, it is not always easy to get a representative rainfall map, particularly in rugged terrain where the spatial structure of the rainfall is complex.
Two geostatistical methods that mix rainfall and topographical data when interpolating rainfall are applied: Kriging with External Drift and Collocated Cokriging. They are compared to a third method based on a multi-linear regression from a directional pararneterisation of the topography. Particular attention is paid to two points: the role played by the pre-processing of the Digital Elevation Model, particularly its smoothing.
The statistical analysis of the results obtained from several series of rainfall measurements (monthly to multi-annual data) allows us to draw some preliminary conclusions in the scope of determining optimal and automatic procedures for calculating rainfall fields.
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© 2001 Springer Science+Business Media Dordrecht
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Deraisme, J., Humbert, J., Drogue, G., Freslon, N. (2001). Geostatistical Interpolation of Rainfall in Mountainous Areas. In: Monestiez, P., Allard, D., Froidevaux, R. (eds) geoENV III — Geostatistics for Environmental Applications. Quantitative Geology and Geostatistics, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0810-5_5
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DOI: https://doi.org/10.1007/978-94-010-0810-5_5
Publisher Name: Springer, Dordrecht
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