The Global Gridded Crop Model Intercomparison phase 1 simulation data set

Christoph Mueller; Joshua Elliott; David Kelly; Almut Arneth; Philippe Ciais; Delphine Deryng; Christian Folberth; Steven Hoek; Toshichika Iizumi; Roberto C. Izaurralde; Curtis Jones; Nikolay Khabarov; Peter Lawrence; Wenfeng Liu; Stefan Olin; Thomas Pugh; Ashwan Reddy; Cynthia Rosenzweig; Alex Ruane; Gen Sakurai; Erwin Schmid; Ratislav Skalsky; Xuhui Wang; Allard de Wit; Hong Yang

doi:10.1038/s41597-019-0023-8

The Global Gridded Crop Model Intercomparison phase 1 simulation data set

Christoph Mueller, Joshua Elliott, David Kelly, Almut Arneth, Philippe Ciais, Delphine Deryng, Christian Folberth, Steven Hoek, Toshichika Iizumi, Roberto C. Izaurralde, Curtis Jones, Nikolay Khabarov, Peter Lawrence, Wenfeng Liu, Stefan Olin, Thomas Pugh, Ashwan Reddy, Cynthia Rosenzweig, Alex Ruane, Gen SakuraiErwin Schmid, Ratislav Skalsky, Xuhui Wang, Allard de Wit, Hong Yang

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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.

Original language	English
Journal	Scientific Data
Volume	6
Issue number	50
DOIs	https://doi.org/10.1038/s41597-019-0023-8
Publication status	Published - 8 May 2019

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Mueller, C., Elliott, J., Kelly, D., Arneth, A., Ciais, P., Deryng, D., Folberth, C., Hoek, S., Iizumi, T., Izaurralde, R. C., Jones, C., Khabarov, N., Lawrence, P., Liu, W., Olin, S., Pugh, T., Reddy, A., Rosenzweig, C., Ruane, A., ... Yang, H. (2019). The Global Gridded Crop Model Intercomparison phase 1 simulation data set. Scientific Data, 6(50). https://doi.org/10.1038/s41597-019-0023-8

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title = "The Global Gridded Crop Model Intercomparison phase 1 simulation data set",

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 Mueller and Joshua Elliott and David Kelly and Almut Arneth and Philippe Ciais and Delphine Deryng and Christian Folberth and Steven Hoek and Toshichika Iizumi and Izaurralde, {Roberto C.} and Curtis Jones and Nikolay Khabarov and Peter Lawrence and Wenfeng Liu and Stefan Olin and Thomas Pugh and Ashwan Reddy and Cynthia Rosenzweig and Alex Ruane and Gen Sakurai and Erwin Schmid and Ratislav Skalsky and Xuhui Wang and {de Wit}, Allard and Hong Yang",

year = "2019",

month = may,

day = "8",

doi = "10.1038/s41597-019-0023-8",

language = "English",

volume = "6",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

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Mueller, C, Elliott, J, Kelly, D, Arneth, A, Ciais, P, Deryng, D, Folberth, C, Hoek, S, Iizumi, T, Izaurralde, RC, Jones, C, Khabarov, N, Lawrence, P, Liu, W, Olin, S, Pugh, T, Reddy, A, Rosenzweig, C, Ruane, A, Sakurai, G, Schmid, E, Skalsky, R, Wang, X, de Wit, A & Yang, H 2019, 'The Global Gridded Crop Model Intercomparison phase 1 simulation data set', Scientific Data, vol. 6, no. 50. https://doi.org/10.1038/s41597-019-0023-8

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AU - Mueller, Christoph

AU - Elliott, Joshua

AU - Kelly, David

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AU - Ciais, Philippe

AU - Deryng, Delphine

AU - Folberth, Christian

AU - Hoek, Steven

AU - Iizumi, Toshichika

AU - Izaurralde, Roberto C.

AU - Jones, Curtis

AU - Khabarov, Nikolay

AU - Lawrence, Peter

AU - Liu, Wenfeng

AU - Olin, Stefan

AU - Pugh, Thomas

AU - Reddy, Ashwan

AU - Rosenzweig, Cynthia

AU - Ruane, Alex

AU - Sakurai, Gen

AU - Schmid, Erwin

AU - Skalsky, Ratislav

AU - Wang, Xuhui

AU - de Wit, Allard

AU - Yang, Hong

PY - 2019/5/8

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M3 - Article

SN - 2052-4463

VL - 6

JO - Scientific Data

JF - Scientific Data

IS - 50

ER -

The Global Gridded Crop Model Intercomparison phase 1 simulation data set

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