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20 p, 4.1 MB Global gridded crop model evaluation : benchmarking, skills, deficiencies and implications / Müller, Christoph (Postdam-Institut fUr Klimafolgenforschung) ; Elliott, Joshua (University of Chicago) ; Chryssanthacopoulos, James (University of Chicago) ; Arneth, Almut (Karlsruhe Institute of Technology) ; Balkovic, Juraj (International Institute for Applied Systems Analysis) ; Ciais, Philippe (Laboratoire des Sciences du Climat et de l'Environnement) ; Deryng, Delphine (University of Chicago) ; Folberth, Christian (International Institute for Applied Systems Analysis) ; Glotter, Michael (University of Chicago. Department of the Geophysical Sciences) ; Hoek, Steven (Alterra Wageningen University. Earth Observation and Environmental Informatics) ; Iizumi, Toshichika (Institute for Agro-Environmental Sciences (Tsukuba)) ; Izaurralde, Roberto C. (University of Maryland. Department of Geographical Sciences) ; Jones, Curtis (University of Maryland. Department of Geographical Sciences) ; Khabarov, Nikolay (International Institute for Applied Systems Analysis) ; Lawrence, Peter (National Center for Atmospheric Research (Boulder, USA)) ; Liu, Wenfeng (Swiss Federal Institute of Aquatic Science and Technology) ; Olin, Stefan (Lunds universitet) ; Pugh, Thomas A. M. (Karlsruhe Institute of Technology) ; Ray, Deepak K. (University of Minnesota. Institute on the Environment) ; Reddy, Ashwan (University of Maryland. Department of Geographical Sciences) ; Rosenzweig, Cynthia (Columbia University. Center for Climate Systems Research) ; Ruane, Alex C. (Columbia University. Center for Climate Systems Research) ; Sakurai, Gen (Institute for Agro-Environmental Sciences (Tsukuba)) ; Schmid, Erwin (Universität für Bodenkultur Wien) ; Song, Carol X. (Purdue University. Rosen Center for Advanced Computing) ; Wang, Xuhui (Laboratoire des Sciences du Climat et de l'Environnement) ; Wit, Allard de (Alterra Wageningen University. Earth Observation and Environmental Informatics) ; Yang, Hong (Swiss Federal Institute of Aquatic Science and Technology)
Crop models are increasingly used to simulate crop yields at the global scale, but so far there is no general framework on how to assess model performance. Here we evaluate the simulation results of 14 global gridded crop modeling groups that have contributed historic crop yield simulations for maize, wheat, rice and soybean to the Global Gridded Crop Model Intercomparison (GGCMI) of the Agricultural Model Intercomparison and Improvement Project (AgMIP). [...]
2017 - 10.5194/gmd-10-1403-2017
Geoscientific model development, p. 1403–1422, Vol. 10 (Oct. 2017)  

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