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State-of-the-art global models underestimate impacts from climate extremes, , , , , , , , , and 40 other author(s). Nature Communications, 10 (1): 1005-- (2019)Global Gridded Crop Model evaluation: benchmarking, skills, deficiencies and implications, , , , , , , , , and 19 other author(s). Geoscientific Model Development Discussions, (Sep 20, 2016)Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison, , , , , , , , , and 7 other author(s). Proceedings of the National Academy of Sciences, 111 (9): 3268--3273 (Mar 4, 2014)Consistent negative response of US crops to high temperatures in observations and crop models, , , , , , , , , and 7 other author(s). Nature Communications, 8 (1): 13931-- (2017)Simulation of maize evapotranspiration: An inter-comparison among 29 maize models, , , , , , , , , and 25 other author(s). Agricultural and Forest Meteorology, (2019)How do various maize crop models vary in their responses to climate change factors?, , , , , , , , , and 28 other author(s). GLOBAL CHANGE BIOLOGY, (July 2014)Spatial and temporal uncertainty of crop yield aggregations, , , , , , , , , and 14 other author(s). European Journal of Agronomy, (October 2016)Understanding the weather signal in national crop-yield variability, , , , , , , , , and 7 other author(s). Earth's Future, 5 (6): 605--616 (Jun 1, 2017)Crop planting dates: an analysis of global patterns, , , and . Global Ecology and Biogeography, 19 (5): 607--620 (Sep 1, 2010)Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, , , , , , , , , and 19 other author(s). Geoscientific Model Development, 10 (4): 1403--1422 (Apr 4, 2017)