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DOI: 10.1038/s41597-019-0023-8
WOS ID: WOS:000469960000001
Title:
The Global Gridded Crop Model Intercomparison phase 1 simulation dataset
Author: Mueller, Christoph1,2; Elliott, Joshua3,4; Kelly, David3,4; Arneth, Almut5; Balkovic, Juraj6,7; Ciais, Philippe8; Deryng, Delphine3,4,9; Folberth, Christian6,7; Hoek, Steven10; Izaurralde, Roberto C.11,12; Jones, Curtis D.11; Khabarov, Nikolay6; Lawrence, Peter13; Liu, Wenfeng8,14; Olin, Stefan15; Pugh, Thomas A. M.16,17; Reddy, Ashwan11; Rosenzweig, Cynthia9,18; Ruane, Alex C.9,18; Sakurai, Gen19; Schmid, Erwin20; Skalsky, Rastislav6,21; Wang, Xuhui8,22; de Wit, Allard10; Yang, Hong14,23
Corresponding Author: Mueller, Christoph
Source Publication: SCIENTIFIC DATA
EISSN: 2052-4463
Publishing Year: 2019
Volume: 6
Language: 英语
WOS Keyword: CLIMATE-CHANGE ; LAND-USE ; HIGH-RESOLUTION ; SOIL-MOISTURE ; WHEAT YIELDS ; GROWTH-MODEL ; AGRICULTURE ; PRECIPITATION ; MANAGEMENT ; IMPACTS
WOS Category: Multidisciplinary Sciences
WOS Research Area: Science & Technology - Other Topics
English 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.


Citation statistics:
被引频次[WOS]:6   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Identifier: http://119.78.100.158/handle/2HF3EXSE/138244
Appears in Collections:过去全球变化的重建

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Affiliation: 1.Potsdam Inst Climate Impact Res, D-14473 Potsdam, Germany
2.Leibniz Assoc, D-14473 Potsdam, Germany
3.Univ Chicago, Chicago, IL 60637 USA
4.ANL Computat Inst, Chicago, IL 60637 USA
5.Karlsruhe Inst Technol, IMK IFU, D-82467 Garmisch Partenkirchen, Germany
6.Int Inst Appl Syst Anal, Ecosyst Serv & Management Program, A-2361 Laxenburg, Austria
7.Comenius Univ, Dept Soil Sci, Bratislava 84215, Slovakia
8.CNRS UVSQ Orme Merisiers, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France
9.Columbia Univ, Ctr Climate Syst Res, New York, NY 10025 USA
10.Alterra Wageningen Univ & Res Ctr, Earth Observat & Environm Informat, NL-6708 PB Wageningen, Netherlands
11.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
12.Texas A&M Univ, Texas AgriLife Res & Extens, Temple, TX 76502 USA
13.Natl Ctr Atmospher Res, Earth Syst Lab, Boulder, CO 80307 USA
14.Eawag, Swiss Fed Inst Aquat Sci & Technol, CH-8600 Dubendorf, Switzerland
15.Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden
16.Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, W Midlands, England
17.Univ Birmingham, Birmingham Inst Forest Res, Birmingham B15 2TT, W Midlands, England
18.NASA, Goddard Inst Space Studies, New York, NY 10025 USA
19.Natl Agr & Res Org, Inst Agroenvironm Sci, Tsukuba, Ibaraki 3058604, Japan
20.Univ Nat Resources & Life Sci, Inst Sustainable Econ Dev, A-1180 Vienna, Austria
21.Natl Agr & Food Ctr, Soil Sci & Conservat Res Inst, Bratislava 82109, Slovakia
22.Peking Univ, Sino French Inst Earth Syst Sci, Beijing 100871, Peoples R China
23.Univ Basel, MGU, Dept Environm Sci, CH-4003 Basel, Switzerland

Recommended Citation:
Mueller, Christoph,Elliott, Joshua,Kelly, David,et al. The Global Gridded Crop Model Intercomparison phase 1 simulation dataset[J]. SCIENTIFIC DATA,2019-01-01,6
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