The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0)
J. Elliott1,C. Müller2,D. Deryng3,J. Chryssanthacopoulos4,K. J. Boote5,M. Büchner2,I. Foster1,M. Glotter6,J. Heinke2,7,14,T. Iizumi8,R. C. Izaurralde9,N. D. Mueller10,D. K. Ray11,C. Rosenzweig12,A. C. Ruane12,and J. Sheffield13J. Elliott et al. J. Elliott1,C. Müller2,D. Deryng3,J. Chryssanthacopoulos4,K. J. Boote5,M. Büchner2,I. Foster1,M. Glotter6,J. Heinke2,7,14,T. Iizumi8,R. C. Izaurralde9,N. D. Mueller10,D. K. Ray11,C. Rosenzweig12,A. C. Ruane12,and J. Sheffield13
1University of Chicago & Argonne Natl. Lab Computation Institute, Chicago, Illinois, USA
2Potsdam Institute for Climate Impact Research, Potsdam, Germany
3Tyndall Centre, University of East Anglia, Norwich, UK
4Columbia University Center for Climate Systems Research, New York, New York, USA
5University of Florida Department of Agronomy, Gainesville, Florida, USA
6University of Chicago Department of Geophysical Science, Chicago, Illinois, USA
7International Livestock Research Institute, Nairobi, Kenya
8National Institute for Agro-Environmental Sciences, Tsukuba, Ibaraki, Japan
9University of Maryland Dept. of Geographical Sciences, College Park, Maryland, USA
10Harvard University Center for the Environment, Cambridge, Massachusetts, USA
11University of Minnesota Institute for the Environment, Saint Paul, Minnesota, USA
12NASA Goddard Institute for Space Studies, New York, New York, USA
13Princeton University Dept. Civil & Environ. Engineering, Princeton, New Jersey, USA
14CSIRO (Commonwealth Scientific and Industrial Research Organization), St Lucia QLD 4067, Australia
1University of Chicago & Argonne Natl. Lab Computation Institute, Chicago, Illinois, USA
2Potsdam Institute for Climate Impact Research, Potsdam, Germany
3Tyndall Centre, University of East Anglia, Norwich, UK
4Columbia University Center for Climate Systems Research, New York, New York, USA
5University of Florida Department of Agronomy, Gainesville, Florida, USA
6University of Chicago Department of Geophysical Science, Chicago, Illinois, USA
7International Livestock Research Institute, Nairobi, Kenya
8National Institute for Agro-Environmental Sciences, Tsukuba, Ibaraki, Japan
9University of Maryland Dept. of Geographical Sciences, College Park, Maryland, USA
10Harvard University Center for the Environment, Cambridge, Massachusetts, USA
11University of Minnesota Institute for the Environment, Saint Paul, Minnesota, USA
12NASA Goddard Institute for Space Studies, New York, New York, USA
13Princeton University Dept. Civil & Environ. Engineering, Princeton, New Jersey, USA
14CSIRO (Commonwealth Scientific and Industrial Research Organization), St Lucia QLD 4067, Australia
Correspondence: J. Elliott (jelliott@ci.uchicago.edu) and C. Müller
(cmueller@pik-potsdam.de)
Received: 03 Jun 2014 – Discussion started: 15 Jul 2014 – Revised: 19 Nov 2014 – Accepted: 23 Dec 2014 – Published: 11 Feb 2015
Abstract. 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 includes 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.
We present and describe the Global Gridded Crop Model Intercomparison (GGCMI) project, an ongoing international effort to 1) validate global models of crop productivity, 2) improve models through detailed analysis of processes, and 3) assess the impacts of climate change on agriculture and food security. We present analysis of data inputs for the project, detailed protocols for conducting and evaluating simulation outputs, and example results.
We present and describe the Global Gridded Crop Model Intercomparison (GGCMI) project, an...
