Articles | Volume 27, issue 11
https://doi.org/10.5194/hess-27-2123-2023
https://doi.org/10.5194/hess-27-2123-2023
Research article
 | 
07 Jun 2023
Research article |  | 07 Jun 2023

A gridded multi-site precipitation generator for complex terrain: an evaluation in the Austrian Alps

Hetal P. Dabhi, Mathias W. Rotach, and Michael Oberguggenberger

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Cited articles

Abermann, J., Lambrecht, A., Fischer, A., and Kuhn, M.: Quantifying changes and trends in glacier area and volume in the Austrian Ötztal Alps (1969–1997–2006), The Cryosphere, 3, 205–215, https://doi.org/10.5194/tc-3-205-2009, 2009. a, b
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Ailliot, P., Allard, D., Monbet, V., and Naveau, P.: Stochastic weather generators: An overview of weather type models, Journal de la Sociéé Française de Statistique, 156, 101–113, 2015. a
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Apipattanavis, S., Podestá, G., Rajagopalan, B., and Katz, R. W.: A semiparametric multivariate and multisite weather generator, Water Resour. Res., 43, W11401, https://doi.org/10.1029/2006WR005714, 2007. a
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Short summary
Spatiotemporally consistent high-resolution precipitation data on climate are needed for climate change impact assessments, but obtaining these data is challenging for areas with complex topography. We present a model that generates synthetic gridded daily precipitation data at a 1 km spatial resolution using observed meteorological station data as input, thereby providing data where historical observations are unavailable. We evaluate this model for a mountainous region in the European Alps.
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