skip to main content

SciTech ConnectSciTech Connect

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

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.
 [1] ;  [2] ;  [3] ;  [4] ;  [5] ;  [2] ;  [1] ;  [6] ;  [7] ;  [8] ;  [9] ;  [10] ;  [11] ;  [12] ;  [12] ;  [13]
  1. Univ. of Chicago & Argonne National Lab., Chicago, IL (United States)
  2. Potsdam Institute for Climate Impact Research, Potsdam (Germany)
  3. Univ. of East Anglia, Norwich (United Kingdom)
  4. Columbia Univ. Center for Climate Systems Research, New York, NY (United States)
  5. Univ. of Florida, Gainesville, FL (United States)
  6. Univ. of Chicago, Chicago, IL (United States)
  7. International Livestock Research Institute, Nairobi (Kenya); Potsdam Institute for Climate Impact Research, Potsdam (Germany); CSIRO, St. Lucia (Australia)
  8. National Institute for Agro-Environmental Science, Ibaraki (Japan)
  9. Univ. of Maryland, College Park, MD (United States)
  10. Harvard Univ. Center for the Environment, Cambridge, MA (United States)
  11. Univ. of Minnesota Institute for the Environment, St. Paul, MN (United States)
  12. NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
  13. Princeton Univ., Princeton, NJ (United States)
Publication Date:
OSTI Identifier:
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online); Journal Volume: 8; Journal Issue: 2; Journal ID: ISSN 1991-9603
European Geosciences Union
Research Org:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org:
Country of Publication:
United States