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Potential yield simulated by Global Gridded Crop Models: a process-based emulator to explain their differences, , , , , , , , and . Geoscientific Model Development Discussions, (2020)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)The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO2, temperature, water, and nitrogen levels (protocol version 1.0), , , , , , , , , and 18 other author(s). Geoscientific Model Development, 13 (5): 2315--2336 (May 2020)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)The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0), , , , , , , , , and 14 other author(s). Geoscientific Model Development, 13 (9): 3995--4018 (September 2020)State-of-the-art global models underestimate impacts from climate extremes, , , , , , , , , and 40 other author(s). Nature Communications, 10 (1): 1005-- (2019)Global wheat production potentials and management flexibility under the representative concentration pathways, , , , , , , , and . Global and Planetary Change, (August 2014)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)Global Gridded Crop Model evaluation: benchmarking, skills, deficiencies and implications, , , , , , , , , and 19 other author(s). Geoscientific Model Development Discussions, (Sep 20, 2016)