Articles | Volume 19, issue 4
https://doi.org/10.5194/hess-19-1787-2015
https://doi.org/10.5194/hess-19-1787-2015
Research article
 | 
17 Apr 2015
Research article |  | 17 Apr 2015

Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data

G. Mao, S. Vogl, P. Laux, S. Wagner, and H. Kunstmann

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Cited articles

Baigorria, G. A., Jones, J. W., Shin, D.-W., Mishra, A., and O'Brien, J. J.: Assessing uncertainties in crop model simulations using daily bias-corrected Regional Circulation Model outputs, Clim. Res., 34, 211–222, https://doi.org/10.3354/cr00703, 2007.
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Bárdossy, A. and Pegram, G.: Multiscale spatial recorrelation of RCM precipitation to produce unbiased climate change scenarios over large areas and small, Water Resour. Res., 48, 1–13, https://doi.org/10.1029/2011WR011524, 2012.
Berg, P., Wagner, S., Kunstmann, H., and Schädler, G.: High resolution regional climate model simulations for Germany: part I – validation, Clim. Dynam., 40, 401–414, https://doi.org/10.1007/s00382-012-1508-8, 2013.
Bergström, S., Carlsson, B., Gardelin, M., Lindström, G., Pettersson, A., and Rummukainen, M.: Climate change impacts on runoff in Sweden – assessments by global climate models , dynamical downscaling and hydrological modelling, Clim. Res., 16, 101–112, https://doi.org/10.3354/cr016101, 2001.
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