Articles | Volume 18, issue 11
Hydrol. Earth Syst. Sci., 18, 4543–4563, 2014
https://doi.org/10.5194/hess-18-4543-2014
Hydrol. Earth Syst. Sci., 18, 4543–4563, 2014
https://doi.org/10.5194/hess-18-4543-2014

Research article 17 Nov 2014

Research article | 17 Nov 2014

Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types

D. Masson and C. Frei

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Cited articles

Allamano, P., Claps, P., Laio, F., and Thea, C.: A data-based assessment of the dependence of short-duration precipitation on elevation, Phys. Chem. Earth, Parts A/B/C, 34, 635–641, https://doi.org/10.1016/j.pce.2009.01.001, 2009.
Annoni, A., Luzet, C., Gubler, E., and Ihde, J.: Map projections for Europe, Inst. Environ. Sustain., www.ec-gis.org/sdi/publist/pdfs/annoni-etal2003eur.pdf. (last access: May 2014), 2001.
Basist, A., Bell, G. D., and Meentemeyer, V.: Statistical relationships between topography and precipitation patterns, J. Climate, 7, 1305–1315, https://doi.org/10.1175/1520-0442(1994)007<1305:SRBTAP>2.0.CO;2, 1994.
Benichou, P. and Le Breton, O.: Prise en compte de la topographie pour la cartographie des champs pluviométriques, Agrométéorologie des Régions Moy Mont, 23–34, 1986.
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The question of how to utilize information from the physiography/topography in the spatial interpolation of rainfall is a long-standing discussion in the literature. In this study we test ideas that go beyond the approach in popular interpolation schemes today. The key message of our study is that these ideas can at best marginally improve interpolation accuracy, even in a region where a clear benefit would intuitively be expected.