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Tao, F.; Roetter, R.P.; Palosuo, T.; Hernandez Diaz-Ambrona, C.G.; Ines Minguez, M.; Semenov, M.A.; Kersebaum, K.C.; Nendel, C.; Specka, X.; Hoffmann, H.; Ewert, F.; Dambreville, A.; Martre, P.; Rodriguez, L.; Ruiz-Ramos, M.; Gaiser, T.; Hohn, J.G.; Salo, T.; Ferrise, R.; Bindi, M.; Cammarano, D.; Schulman, A.H. Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments 2018 Global Change Biology 24 1291-1307 details   doi
Wolf, J.; Kanellopoulos, A.; Kros, J.; Webber, H.; Zhao, G.; Britz, W.; Reinds, G.J.; Ewert, F.; de Vries, W. Combined analysis of climate, technological and price changes on future arable farming systems in Europe 2015 Agricultural Systems 140 56-73 details   doi
Wallach, D.; Nissanka, S.P.; Karunaratne, A.S.; Weerakoon, W.M.W.; Thorburn, P.J.; Boote, K.J.; Jones, J.W. Accounting for both parameter and model structure uncertainty in crop model predictions of phenology: A case study on rice 2016 European Journal of Agronomy details   doi
Sanna, M.; Bellocchi, G.; Fumagalli, M.; Acutis, M. A new method for analysing the interrelationship between performance indicators with an application to agrometeorological models 2015 Environmental Modelling & Software 73 286-304 details   doi
Kraus, D.; Weller, S.; Klatt, S.; Haas, E.; Wassmann, R.; Kiese, R.; Butterbach-Bahl, K. A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems 2015 Plant and Soil 386 125-149 details   doi
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