The global gridded crop model intercomparison: Data and modeling protocols for Phase 1 (v1.0)

Elliott, J.; Müller, C.; Deryng, D.; Chryssanthacopoulos, J.; Boote, K. J.; Büchner, M.; Foster, I.; Glotter, M.; Heinke, J.; Iizumi, T.; Izaurralde, R. C.; Mueller, N. D.; Ray, D. K.; Rosenzweig, C.; Ruane, A. C.; Sheffield, J.

doi:10.5194/gmd-8-261-2015

Title: The global gridded crop model intercomparison: Data and modeling protocols for Phase 1 (v1.0)

Journal Article · Wed Feb 11 00:00:00 EST 2015 · Geoscientific Model Development (Online)

DOI:https://doi.org/10.5194/gmd-8-261-2015· OSTI ID:1349062

Elliott, J. ^[1]; Müller, C. ^[2]; Deryng, D. ^[3]; Chryssanthacopoulos, J. ^[4]; Boote, K. J. ^[5]; Büchner, M. ^[2];

^[1]; Glotter, M. ^[6]; Heinke, J. ^[7]; Iizumi, T. ^[8]; Izaurralde, R. C. ^[9]; Mueller, N. D. ^[10]; Ray, D. K. ^[11]; Rosenzweig, C. ^[12]; Ruane, A. C. ^[12]; Sheffield, J. ^[13]

Univ. of Chicago and Argonne National Lab. Computation Inst., Chicago, IL (United States)
Potsdam Inst. for Climate Impact Research (Germany)
Univ. of East Anglia, Norwich (United Kingdom). Tyndall Centre
Columbia Univ., New York, NY (United States). Center for Climate Systems Research
Univ. of Florida, Gainesville, FL (United States). Dept. of Agronomy
Univ. of Chicago, IL (United States). Dept. of Geophysical Science
Potsdam Inst. for Climate Impact Research (Germany); International Livestock Research Inst., Nairobi (Kenya); Commonwealth Scientific and Industrial Research Organization (CSIRO), St Lucia QLD (Australia)
National Inst. for Agro-Environmental Sciences, Tsukuba (Japan)
Univ. of Maryland, College Park, MD (United States). Dept. of Geographical Sciences
Harvard Univ., Cambridge, MA (United States). Center for the Environment
Univ. of Minnesota, Saint Paul, MN (United States). Inst. for the Environment
NASA Goddard Inst. for Space Studies, New York, NY (United States)
Princeton Univ., NJ (United States). Dept. of Civil and Environmental Engineering

We present protocols and input data for Phase 1 of the Global Gridded Crop Model Intercomparison, a project of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The project consist of global simulations of yields, phenologies, and many land-surface fluxes using 12–15 modeling groups for many crops, climate forcing data sets, and scenarios over the historical period from 1948 to 2012. The primary outcomes of the project include (1) a detailed comparison of the major differences and similarities among global models commonly used for large-scale climate impact assessment, (2) an evaluation of model and ensemble hindcasting skill, (3) quantification of key uncertainties from climate input data, model choice, and other sources, and (4) a multi-model analysis of the agricultural impacts of large-scale climate extremes from the historical record.

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Research Organization:: Univ. of Chicago, IL (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); Potsdam Inst. for Climate Impact Research (Germany)

Sponsoring Organization:: USDOE; National Science Foundation (NSF); German Federal Ministry of Education and Research (BMBF) (Germany)

Contributing Organization:: Univ. of East Anglia, Norwich (United Kingdom); Columbia Univ., New York, NY (United States); Univ. of Florida, Gainesville, FL (United States); International Livestock Research Inst., Nairobi (Kenya); Commonwealth Scientific and Industrial Research Organization (CSIRO), St Lucia QLD (Australia); National Inst. for Agro-Environmental Sciences, Tsukuba (Japan); Univ. of Maryland, College Park, MD (United States); Harvard Univ., Cambridge, MA (United States); Univ. of Minnesota, Saint Paul, MN (United States); NASA Goddard Inst. for Space Studies, New York, NY (United States); Princeton Univ., NJ (United States)

Grant/Contract Number:: AC02-06CH11357; SBE-0951576; GEO-1215910; 01LL0905L; 031A103B

OSTI ID:: 1349062

Alternate ID(s):: OSTI ID: 1222961

Journal Information:: Geoscientific Model Development (Online), Vol. 8, Issue 2; ISSN 1991-9603

Publisher:: European Geosciences UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 89 works

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A regional nuclear conflict would compromise global food security Jägermeyr, Jonas; Robock, Alan; Elliott, Joshua Proceedings of the National Academy of Sciences, Vol. 117, Issue 13 https://doi.org/10.1073/pnas.1919049117	journal	March 2020
Consistent negative response of US crops to high temperatures in observations and crop models Schauberger, Bernhard; Archontoulis, Sotirios; Arneth, Almut Humboldt-Universität zu Berlin https://doi.org/10.18452/18857	null	January 2017
Taking climate model evaluation to the next level Veronika, Eyring,; M., Cox, Peter; M., Flato, Gregory ETH Zurich https://doi.org/10.3929/ethz-b-000323491	text	January 2019
Global Carbon Budget 2016 Le Quéré, Corinne; Andrew, Robbie M.; Canadell, Josep G. Earth System Science Data, Vol. 8, Issue 2 https://doi.org/10.5194/essd-8-605-2016	journal	January 2016
Climate analogues suggest limited potential for intensification of production on current croplands under climate change Pugh, T. A. M.; Müller, C.; Elliott, J. Karlsruhe https://doi.org/10.5445/ir/1000060293	text	January 2016
Crop productivity changes in 1.5 °C and 2 °C worlds under climate sensitivity uncertainty Schleussner, Carl-Friedrich; Deryng, Delphine; Müller, Christoph Karlsruhe https://doi.org/10.5445/ir/1000083370	text	January 2018
Global patterns of crop yield stability under additional nutrient and water inputs Müller, Christoph; Elliott, Joshua W.; Pugh, Thomas A. M. Columbia University https://doi.org/10.7916/d8z33gd2	text	January 2018
Decreases in global beer supply due to extreme drought and heat. Xie, Wei; Xiong, Wei; Pan, Jie Apollo - University of Cambridge Repository https://doi.org/10.17863/cam.38745	text	January 2018
Global Response Patterns of Major Rainfed Crops to Adaptation by Maintaining Current Growing Periods and Irrigation Minoli, Sara; Müller, Christoph; Elliott, Joshua FID GEO https://doi.org/10.23689/fidgeo-4406	text	January 2019
Consistent negative response of US crops to high temperatures in observations and crop models Schauberger, Bernhard; Archontoulis, Sotirios; Arneth, Almut Karlsruhe https://doi.org/10.5445/ir/1000065762	text	January 2017
Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications Müller, Christoph; Elliott, Joshua; Chryssanthacopoulos, James Karlsruhe https://doi.org/10.5445/ir/1000070909	text	January 2017
The Global Gridded Crop Model Intercomparison phase 1 simulation dataset Müller, C.; Elliott, J.; Kelly, D. Karlsruhe https://doi.org/10.5445/ir/1000095680	text	January 2019
Crop productivity changes in 1.5 °C and 2 °C worlds under climate sensitivity uncertainty Schleussner, Carl-Friedrich; Deryng, Delphine; Müller, Christoph Columbia University https://doi.org/10.7916/d80c6cpm	text	January 2018
Evapotranspiration simulations in ISIMIP2a—Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets Wartenburger, Richard; Seneviratne, Sonia I.; Hirschi, Martin Columbia University https://doi.org/10.7916/d87w7w3x	text	January 2018
Evapotranspiration simulations in ISIMIP2a-Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets Wartenburger, Richard; Seneviratne, Sonia I.; Hirschi, Martin ETH Zurich https://doi.org/10.3929/ethz-b-000274354	text	January 2018
Global Carbon Budget 2016 Le Quéré, Corinne; Andrew, Robbie M.; Canadell, Josep G. Karlsruhe https://doi.org/10.5445/ir/1000064314	text	January 2016
Understanding the weather signal in national crop-yield variability Frieler, K.; Schauberger, B.; Arneth, A. Karlsruhe https://doi.org/10.5445/ir/1000071857	text	January 2017
A regional nuclear conflict would compromise global food security Jagermeyr, J.; Robock, A.; Elliott, J. Karlsruhe https://doi.org/10.5445/ir/1000118835	text	January 2020
Crop productivity changes in 1.5 °C and 2 °C worlds under climate sensitivity uncertainty Schleussner, Carl-Friedrich; Deryng, Delphine; Müller, Christoph ETH Zurich https://doi.org/10.3929/ethz-b-000268297	text	January 2018
Simulating the effect of tillage practices with the global ecosystem model LPJmL (version 5.0-tillage) Lutz, Femke; Herzfeld, Tobias; Heinke, Jens Geoscientific Model Development Discussions https://doi.org/10.5194/gmd-2018-255	journal	November 2018
Evapotranspiration simulations in ISIMIP2a—Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets Wartenburger, Richard; Seneviratne, Sonia I.; Hirschi, Martin Karlsruhe https://doi.org/10.5445/ir/1000084304	text	January 2018
Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble Folberth, Christian; Elliott, Joshua; Müller, Christoph Karlsruhe https://doi.org/10.5445/ir/1000118068	text	January 2019
Global Carbon Budget 2016 Jain, Atul K.; Doney, Scott C.; Schwinger, Jörg Copernicus Publications https://doi.org/10.7892/boris.99520	text	January 2016
The importance of management information and soil moisture representation for simulating tillage effects on N2O emissions in LPJmL5.0-tillage Lutz, Femke; Del Grosso, Stephen; Ogle, Stephen Katlenburg-Lindau : Copernicus https://doi.org/10.34657/5310	text	January 2020
Forecasting Corn Yield with Machine Learning Ensembles Shahhosseini, Mohsen; Hu, Guiping; Archontoulis, Sotirios V. arXiv https://doi.org/10.48550/arxiv.2001.09055	text	January 2020
Improving the representation of cropland sites in the Community Land Model (CLM) version 5.0 Boas, Theresa; Bogena, Heye; Grünwald, Thomas EGU General Assembly 2021 https://doi.org/10.5194/egusphere-egu21-10915	conference	April 2021
Defining sowing and harvest dates based on the Asian Summer Monsoon Mathison, Camilla; Deva, Chetan; Falloon, Pete Earth System Dynamics Discussions https://doi.org/10.5194/esd-2017-88	journal	November 2017
Potential yield simulated by global gridded crop models: using a process-based emulator to explain their differences Ringeval, Bruno; Müller, Christoph; Pugh, Thomas A. M. Geoscientific Model Development, Vol. 14, Issue 3 https://doi.org/10.5194/gmd-14-1639-2021	journal	March 2021

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