The Global Gridded Crop Model Intercomparison phase 1 simulation dataset

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/87534 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/87534 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/87534 archive 353 disk0/00/01/59/02 2019-05-10 11:16:31 2024-09-09 12:49:46 2019-05-10 11:16:31 article show Müller C. Elliott J. Kelly D. Arneth A. Balkovic J. 1977 0000-0003-2955-4931 Ciais P. Deryng D. Folberth C. 2033 0000-0002-6738-5238 Hoek S. Izaurralde R.C. Jones C.D. Khabarov N. 1850 0000-0001-5372-4668 Lawrence P. Liu W. Olin S. Pugh T.A.M. Reddy A. Rosenzweig C. Ruane A.C. Sakurai G. Schmid E. Skalsky R. 1986 0000-0002-0983-6897 Wang X. de Wit A. Yang H. The Global Gridded Crop Model Intercomparison phase 1 simulation dataset pub prog_esm The Global Gridded Crop Model Intercomparison (GGCMI) phase 1 dataset of the Agricultural Model Intercomparison and Improvement Project (AgMIP) provides an unprecedentedly large dataset of crop model simulations covering the global ice-free land surface. The dataset consists of annual data fields at a spatial resolution of 0.5 arc-degree longitude and latitude. Fourteen crop modeling groups provided output for up to 11 historical input datasets spanning 1901 to 2012, and for up to three different management harmonization levels. Each group submitted data for up to 15 different crops and for up to 14 output variables. All simulations were conducted for purely rainfed and near-perfectly irrigated conditions on all land areas irrespective of whether the crop or irrigation system is currently used there. With the publication of the GGCMI phase 1 dataset we aim to promote further analyses and understanding of crop model performance, potential relationships between productivity and environmental impacts, and insights on how to further improve global gridded crop model frameworks. We describe dataset characteristics and individual model setup narratives. 2019-05-08 Nature Publishing Group 10.1038/s41597-019-0023-8 23 92 151 287 public Scientific Data 6 1 e50 TRUE 2052-4463 Operational Potential of Ecosystem Research Applications (OPERAS, FP7 308393) Land use change: assessing the net climate forcing, and options for climate change mitigation and adaptation (LUC4C, FP7 603542) FALSE yes info:eu-repo/grantAgreement/EC/FP7/308393/EU//OPERAS; info:eu-repo/grantAgreement/EC/H2020/603542/EU//LUC4C info:eu-repo/semantics/article info:eu-repo/semantics/openAccess