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  Author Title Year Publication (down) Volume Pages Links
Conradt, T.; Gornott, C.; Wechsung, F. Extending and improving regionalized winter wheat and silage maize yield regression models for Germany: Enhancing the predictive skill by panel definition through cluster analysis 2016 Agricultural and Forest Meteorology 216 68-81 details   doi
Caubel, J.; García de Cortázar-Atauri, I.; Launay, M.; de Noblet-Ducoudré, N.; Huard, F.; Bertuzzi, P.; Graux, A.-I. Broadening the scope for ecoclimatic indicators to assess crop climate suitability according to ecophysiological, technical and quality criteria 2015 Agricultural and Forest Meteorology 207 94-106 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
Rodriguez, A.; Ruiz-Ramos, M.; Palosuo, T.; Carter, T.R.; Fronzek, S.; Lorite, I.J.; Ferrise, R.; Pirttioja, N.; Bindi, M.; Baranowski, P.; Buis, S.; Cammarano, D.; Chen, Y.; Dumont, B.; Ewert, F.; Gaiser, T.; Hlavinka, P.; Hoffmann, H.; Hohn, J.G.; Jurecka, F.; Kersebaum, K.C.; Krzyszczak, J.; Lana, M.; Mechiche-Alami, A.; Minet, J.; Montesino, M.; Nendel, C.; Porter, J.R.; Ruget, F.; Semenov, M.A.; Steinmetz, Z.; Stratonovitch, P.; Supit, I.; Tao, F.; Trnka, M.; de Wit, A.; Roetter, R.P. Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations 2019 Agricultural and Forest Meteorology 264 351-362 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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