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0505587 - ÚFA 2020 RIV GB eng J - Journal Article
Gutiérrez, J. M. - Maraun, D. - Widmann, M. - Huth, Radan - Hertig, E. - Benestad, R. - Roessler, O. - Wibig, J. - Wilcke, R. - Kotlarski, S. - San Martín, 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, 9 Special Issue (2019), s. 3750-3785. ISSN 0899-8418. E-ISSN 1097-0088
R&D Projects: GA MŠMT LD12029; GA MŠMT(CZ) LD14043
Institutional support: RVO:68378289 ; RVO:86652079
Keywords : Bias adjustment * CORDEX * Downscaling * Model output statistics * Perfect prognosis * Reproducibility * Validation * Weather generators
OECD category: Climatic research; Meteorology and atmospheric sciences (UEK-B)
Impact factor: 3.928, year: 2019
Method of publishing: Limited access
https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.5462
Permanent Link: http://hdl.handle.net/11104/0297065