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Bassu, S.; Brisson, N.; Durand, J.-L.; Boote, K.; Lizaso, J.; Jones, J.W.; Rosenzweig, C.; Ruane, A.C.; Adam, M.; Baron, C.; Basso, B.; Biernath, C.; Boogaard, H.; Conijn, S.; Corbeels, M.; Deryng, D.; De Sanctis, G.; Gayler, S.; Grassini, P.; Hatfield, J.; Hoek, S.; Izaurralde, C.; Jongschaap, R.; Kemanian, A.R.; Kersebaum, K.C.; Kim, S.-H.; Kumar, N.S.; Makowski, D.; Müller, C.; Nendel, C.; Priesack, E.; Pravia, M.V.; Sau, F.; Shcherbak, I.; Tao, F.; Teixeira, E.; Timlin, D.; Waha, K. How do various maize crop models vary in their responses to climate change factors 2014 Global Change Biology 20 2301-2320 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
Müller, C. African lessons on climate change risks for agriculture 2013 Annual Review of Nutrition 33 395-411 details   doi
Mansouri, M.; Dumont, B.; Destain, M.-F. Modeling and prediction of nonlinear environmental system using Bayesian methods 2013 Computers and Electronics in Agriculture 92 16-31 details   doi
Conradt, T.; Wechsung, F.; Bronstert, A. Three perceptions of the evapotranspiration landscape: comparing spatial patterns from a distributed hydrological model, remotely sensed surface temperatures, and sub-basin water balances 2013 Hydrology and Earth System Sciences 17 2947-2966 details   doi
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