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  The Global Gridded Crop Model Intercomparison phase 1 simulation dataset

Müller, C., Elliott, J., Kelly, D., Arneth, A., Balkovič, J., Ciais, P., Deryng, D., Folberth, C., Hoek, S., Izaurralde, R. C., Jones, C. D., Khabarov, N., Lawrence, P., Liu, W., Olin, S., Pugh, T. A. M., Reddy, A., Rosenzweig, C., Ruane, A. C., Sakurai, G., Schmid, E., Skalsky, R., Wang, X., Wit, A. d., Yang, H. (2019): The Global Gridded Crop Model Intercomparison phase 1 simulation dataset. - Nature Scientific Data, 6, 50.
https://doi.org/10.1038/s41597-019-0023-8

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 Creators:
Müller, Christoph1, Author              
Elliott, J.2, Author
Kelly, D.2, Author
Arneth, A.2, Author
Balkovič, J.2, Author
Ciais, P.2, Author
Deryng, D.2, Author
Folberth, C.2, Author
Hoek, S.2, Author
Izaurralde, R. C.2, Author
Jones, C. D.2, Author
Khabarov, N.2, Author
Lawrence, P.2, Author
Liu, W.2, Author
Olin, S.2, Author
Pugh, T. A. M.2, Author
Reddy, A.2, Author
Rosenzweig, C.2, Author
Ruane, A. C.2, Author
Sakurai, G.2, Author
Schmid, E.2, AuthorSkalsky, R.2, AuthorWang, X.2, AuthorWit, A. de2, AuthorYang, H.2, Author more..
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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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.

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 Dates: 2019
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41597-019-0023-8
PIKDOMAIN: RD2 - Climate Resilience
eDoc: 8476
Research topic keyword: Food & Agriculture
Model / method: LPJmL
Organisational keyword: RD2 - Climate Resilience
Working Group: Land Use and Resilience
 Degree: -

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Title: Nature Scientific Data
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 6 Sequence Number: 50 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1911041