TY - JOUR
T1 - The Global Gridded Crop Model Intercomparison
T2 - Data and modeling protocols for Phase 1 (v1.0)
AU - Elliott, J.
AU - Müller, C.
AU - Deryng, D.
AU - Chryssanthacopoulos, J.
AU - Boote, K. J.
AU - Büchner, M.
AU - Foster, I.
AU - Glotter, M.
AU - Heinke, J.
AU - Iizumi, T.
AU - Izaurralde, R. C.
AU - Mueller, N. D.
AU - Ray, D. K.
AU - Rosenzweig, C.
AU - Ruane, A. C.
AU - Sheffield, J.
N1 - Publisher Copyright:
© Author(s) 2015.
PY - 2015/2/11
Y1 - 2015/2/11
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84922880013
UR - https://www.scopus.com/pages/publications/84922880013#tab=citedBy
U2 - 10.5194/gmd-8-261-2015
DO - 10.5194/gmd-8-261-2015
M3 - Article
AN - SCOPUS:84922880013
SN - 1991-959X
VL - 8
SP - 261
EP - 277
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 2
ER -