Advanced

The Global Gridded Crop Model Intercomparison phase 1 simulation dataset

Müller, Christoph ; Elliott, Joshua ; Kelly, David ; Arneth, Almut LU ; Balkovic, Juraj ; Ciais, Philippe ; Deryng, Delphine ; Folberth, Christian ; Hoek, Steven and Izaurralde, Roberto C. , et al. (2019) In Scientific Data 6(1).
Abstract

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... (More)

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.

(Less)
Please use this url to cite or link to this publication:
@article{ae089866-31a4-43be-9fa4-77aef68960a2,
  abstract     = {<p>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.</p>},
  author       = {Müller, Christoph and Elliott, Joshua and Kelly, David and Arneth, Almut and Balkovic, Juraj and Ciais, Philippe and Deryng, Delphine and Folberth, Christian and Hoek, Steven and Izaurralde, Roberto C. and Jones, Curtis D. and Khabarov, Nikolay and Lawrence, Peter and Liu, Wenfeng and Olin, Stefan and Pugh, Thomas A.M. and Reddy, Ashwan and Rosenzweig, Cynthia and Ruane, Alex C. and Sakurai, Gen and Schmid, Erwin and Skalsky, Rastislav and Wang, Xuhui and de Wit, Allard and Yang, Hong},
  issn         = {2052-4463},
  language     = {eng},
  number       = {1},
  publisher    = {Nature Publishing Group},
  series       = {Scientific Data},
  title        = {The Global Gridded Crop Model Intercomparison phase 1 simulation dataset},
  url          = {http://dx.doi.org/10.1038/s41597-019-0023-8},
  doi          = {10.1038/s41597-019-0023-8},
  volume       = {6},
  year         = {2019},
}