Articles | Volume 19, issue 4
Hydrol. Earth Syst. Sci., 19, 1827–1847, 2015
https://doi.org/10.5194/hess-19-1827-2015
Hydrol. Earth Syst. Sci., 19, 1827–1847, 2015
https://doi.org/10.5194/hess-19-1827-2015
Research article
20 Apr 2015
Research article | 20 Apr 2015

Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe

M. A. Sunyer et al.

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Cited articles

Boé, J., Terray, L., Habets, F. and Martin, E.: Statistical and dynamical downscaling of the Seine basin climate for hydro-meteorological studies, Int. J. Climatol., 27, 1643–1655, https://doi.org/10.1002/joc.1602, 2007.
Bürger, G. and Chen, Y.: Regression-based downscaling of spatial variability for hydrologic applications, J. Hydrol., 311, 299–317, https://doi.org/10.1016/j.jhydrol.2005.01.025, 2005.
Bürger, G., Reusser, D., and Kneis, D.: Early flood warnings from empirical (expanded) downscaling of the full ECMWF Ensemble Prediction System, Water Resour. Res., 45, W10443, https://doi.org/10.1029/2009WR007779, 2009.
Bürger, G., Murdock, T. Q., Werner, A. T., Sobie, S. R., and Cannon, A. J.: Downscaling Extremes–-An Intercomparison of Multiple Statistical Methods for Present Climate, J. Clim., 25, 4366–4388, https://doi.org/10.1175/JCLI-D-11-00408.1, 2012.
Bürger, G., Sobie, S. R., Cannon, A. J., Werner, A. T., and Murdock, T. Q.: Downscaling Extremes: An Intercomparison of Multiple Methods for Future Climate, J. Clim., 26, 3429–3449, https://doi.org/10.1175/JCLI-D-12-00249.1, 2013.