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Kersebaum, K.C.; Boote, K.J.; Jorgenson, J.S.; Nendel, C.; Bindi, M.; Frühauf, C.; Gaiser, T.; Hoogenboom, G.; Kollas, C.; Olesen, J.E.; Rötter, R.P.; Ruget, F.; Thorburn, P.J.; Trnka, M.; Wegehenkel, M. Analysis and classification of data sets for calibration and validation of agro-ecosystem models 2015 Environmental Modelling & Software 72 402-417 details   doi
Wallach, D.; Mearns, L.O.; Ruane, A.C.; Rötter, R.P.; Asseng, S. Lessons from climate modeling on the design and use of ensembles for crop modeling 2016 Climatic Change 139 551-564 details   doi
Angulo, C.; Rötter, R.; Lock, R.; Enders, A.; Fronzek, S.; Ewert, F. Implication of crop model calibration strategies for assessing regional impacts of climate change in Europe 2013 Agricultural and Forest Meteorology 170 32-46 details   doi
Höglind, M.; Thorsen, S.M.; Semenov, M.A. Assessing uncertainties in impact of climate change on grass production in Northern Europe using ensembles of global climate models 2013 Agricultural and Forest Meteorology 170 103-113 details   doi
Tao, F.; Palosuo, T.; Roetter, R.P.; Hernandez Diaz-Ambrona, C.G.; Ines Minguez, M.; Semenov, M.A.; Kersebaum, K.C.; Cammarano, D.; Specka, X.; Nendel, C.; Srivastava, A.K.; Ewert, F.; Padovan, G.; Ferrise, R.; Martre, P.; Rodriguez, L.; Ruiz-Ramos, M.; Gaiser, T.; Hohn, J.G.; Salo, T.; Dibari, C.; Schulman, A.H. Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models 2020 Agricultural and Forest Meteorology 281 107851 details   doi
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