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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
Barber, H.M.; Gooding, M.J.; Semenov, M.A. Improving modelling of wheat responses to high temperature stress under climate change 2014 details   openurl
Martre, P.; He, J.; Le Gouis, J.; Semenov, M.A. In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management 2015 Journal of Experimental Botany 66 3581-3598 details   doi
Semenov, M. Local-scale climate scenarios based on ensembles of global/regional climate models for regional applications in Europe 2015 FACCE MACSUR Reports 3 D-C4.3.1 details   url
Calanca, P.; Semenov, M.A. Local-scale climate scenarios for impact studies and risk assessments: integration of early 21st century ENSEMBLES projections into the ELPIS database 2013 Theoretical and Applied Climatology 113 445-455 details   doi
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