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The Global Gridded Crop Model Intercomparison phase 1 simulation dataset

Müller, C.; Elliott, J.; Kelly, D.; Arneth, Almut; Balkovic, 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.; ... mehr

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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Verlagsausgabe §
DOI: 10.5445/IR/1000095680
Veröffentlicht am 28.06.2019
DOI: 10.1038/s41597-019-0023-8
Zitationen: 6
Web of Science
Zitationen: 8
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 2052-4436, 2052-4463
KITopen-ID: 1000095680
HGF-Programm 12.02.02 (POF III, LK 01) Vegetation climate- and land use system
Erschienen in Scientific data
Verlag Nature Research
Band 6
Heft 1
Seiten Art.-Nr.: 50
Nachgewiesen in Scopus
Web of Science
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