The Global Gridded Crop Model Intercomparison phase 1 simulation dataset

Christoph Müller*, Joshua Elliott, David Kelly, Almut Arneth, Juraj Balkovic, Philippe Ciais, Delphine Deryng, Christian Folberth, Steven Hoek, Roberto C. Izaurralde, Curtis D. Jones, Nikolay Khabarov, Peter Lawrence, Wenfeng Liu, Stefan Olin, Thomas A.M. Pugh, Ashwan Reddy, Cynthia Rosenzweig, Alex C. Ruane, Gen Sakurai & 5 others Erwin Schmid, Rastislav Skalsky, Xuhui Wang, Allard de Wit, Hong Yang

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)

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 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.

Original languageEnglish
Article number50
Number of pages22
JournalScientific Data
Volume6
DOIs
Publication statusPublished - 8 May 2019

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Crops
simulation
Simulation
Longitude
Model
Irrigation
Output
Performance Model
Large Data Sets
Spatial Resolution
Productivity
Annual
harmonization
irrigation
Arc of a curve
Simulation Model
simulation model
Covering
environmental impact
Group

Cite this

Müller, C., Elliott, J., Kelly, D., Arneth, A., Balkovic, J., Ciais, P., ... Yang, H. (2019). The Global Gridded Crop Model Intercomparison phase 1 simulation dataset. Scientific Data, 6, [50]. https://doi.org/10.1038/s41597-019-0023-8
Müller, Christoph ; Elliott, Joshua ; Kelly, David ; Arneth, Almut ; Balkovic, Juraj ; Ciais, Philippe ; Deryng, Delphine ; Folberth, Christian ; Hoek, Steven ; Izaurralde, Roberto C. ; Jones, Curtis D. ; Khabarov, Nikolay ; Lawrence, Peter ; Liu, Wenfeng ; Olin, Stefan ; Pugh, Thomas A.M. ; Reddy, Ashwan ; Rosenzweig, Cynthia ; Ruane, Alex C. ; Sakurai, Gen ; Schmid, Erwin ; Skalsky, Rastislav ; Wang, Xuhui ; de Wit, Allard ; Yang, Hong. / The Global Gridded Crop Model Intercomparison phase 1 simulation dataset. In: Scientific Data. 2019 ; Vol. 6.
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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 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.",
author = "Christoph M{\"u}ller and Joshua Elliott and David Kelly and Almut Arneth and Juraj Balkovic and Philippe Ciais and Delphine Deryng and Christian Folberth and Steven Hoek and Izaurralde, {Roberto C.} and Jones, {Curtis D.} and Nikolay Khabarov and Peter Lawrence and Wenfeng Liu and Stefan Olin and Pugh, {Thomas A.M.} and Ashwan Reddy and Cynthia Rosenzweig and Ruane, {Alex C.} and Gen Sakurai and Erwin Schmid and Rastislav Skalsky and Xuhui Wang and {de Wit}, Allard and Hong Yang",
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Müller, C, Elliott, J, Kelly, D, Arneth, A, Balkovic, J, Ciais, P, Deryng, D, Folberth, C, Hoek, S, Izaurralde, RC, Jones, CD, Khabarov, N, Lawrence, P, Liu, W, Olin, S, Pugh, TAM, Reddy, A, Rosenzweig, C, Ruane, AC, Sakurai, G, Schmid, E, Skalsky, R, Wang, X, de Wit, A & Yang, H 2019, 'The Global Gridded Crop Model Intercomparison phase 1 simulation dataset', Scientific Data, vol. 6, 50. https://doi.org/10.1038/s41597-019-0023-8

The Global Gridded Crop Model Intercomparison phase 1 simulation dataset. / Müller, Christoph; Elliott, Joshua; Kelly, David; Arneth, Almut; Balkovic, Juraj; Ciais, Philippe; Deryng, Delphine; Folberth, Christian; Hoek, Steven; Izaurralde, Roberto C.; Jones, Curtis D.; Khabarov, Nikolay; Lawrence, Peter; Liu, Wenfeng; Olin, Stefan; Pugh, Thomas A.M.; Reddy, Ashwan; Rosenzweig, Cynthia; Ruane, Alex C.; Sakurai, Gen; Schmid, Erwin; Skalsky, Rastislav; Wang, Xuhui; de Wit, Allard; Yang, Hong.

In: Scientific Data, Vol. 6, 50, 08.05.2019.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - The Global Gridded Crop Model Intercomparison phase 1 simulation dataset

AU - Müller, Christoph

AU - Elliott, Joshua

AU - Kelly, David

AU - Arneth, Almut

AU - Balkovic, Juraj

AU - Ciais, Philippe

AU - Deryng, Delphine

AU - Folberth, Christian

AU - Hoek, Steven

AU - Izaurralde, Roberto C.

AU - Jones, Curtis D.

AU - Khabarov, Nikolay

AU - Lawrence, Peter

AU - Liu, Wenfeng

AU - Olin, Stefan

AU - Pugh, Thomas A.M.

AU - Reddy, Ashwan

AU - Rosenzweig, Cynthia

AU - Ruane, Alex C.

AU - Sakurai, Gen

AU - Schmid, Erwin

AU - Skalsky, Rastislav

AU - Wang, Xuhui

AU - de Wit, Allard

AU - Yang, Hong

PY - 2019/5/8

Y1 - 2019/5/8

N2 - 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.

AB - 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.

U2 - 10.1038/s41597-019-0023-8

DO - 10.1038/s41597-019-0023-8

M3 - Article

VL - 6

JO - Scientific Data

JF - Scientific Data

SN - 2052-4463

M1 - 50

ER -

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P et al. The Global Gridded Crop Model Intercomparison phase 1 simulation dataset. Scientific Data. 2019 May 8;6. 50. https://doi.org/10.1038/s41597-019-0023-8