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0507882 - ÚVGZ 2020 RIV US eng J - Journal Article
Gutierrez, J. M. - Maraun, D. - Widmann, M. - Huth, Radan - Hertig, E. - Benestad, R. - Roessler, O. - Wibig, J. - Wilcke, R. - Kotlarski, S. - San Martin, D. - Herrera, S. - Bedia, J. - Casanueva, A. - Manzanas, R. - Iturbide, M. - Vrac, M. - Dubrovský, Martin - Ribalaygua, J. - Pórtoles, J. - Räty, O. - Räisänen, J. - Hingray, B. - Raynaud, D. - Casado, M. J. - Ramos, P. - Zerenner, T. - Turco, M. - Bosshard, T. - Štěpánek, Petr - Bartholy, J. - Pongrácz, R. - Keller, D.E. - Fischer, A. M. - Cardoso, R. M. - Soares, P.M.M. - Czernecki, B. - Pagé, C.
An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation experiment.
International Journal of Climatology. Roč. 39, č. 9 (2019), s. 3750-3785. ISSN 0899-8418. E-ISSN 1097-0088
R&D Projects: GA MŠMT(CZ) LD14043
Institutional support: RVO:86652079 ; RVO:68378289
Keywords : climate-change projections * bias correction * daily precipitation * future climate * daily temperature * weather generators * model output * cordex * scenarios * framework * bias adjustment * cordex * downscaling * model output statistics * perfect prognosis * reproducibility * validation * weather generators
OECD category: Meteorology and atmospheric sciences; Meteorology and atmospheric sciences (UFA-U)
Impact factor: 3.928, year: 2019
Method of publishing: Limited access
https://www.researchgate.net/publication/324006664_An_intercomparison_of_a_large_ensemble_of_statistical_downscaling_methods_over_Europe_-_Results_from_the_VALUE_perfect_predictor_cross-validation_experiment/link/5aba98beaca2722b0b7bcb44/download
Permanent Link: http://hdl.handle.net/11104/0298844