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The GGCMI Phase 2 e...
The GGCMI Phase 2 experiment : Global gridded crop model simulations under uniform changes in CO2, temperature, water, and nitrogen levels (protocol version 1.0)
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- Franke, James A. (author)
- University of Chicago
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- Müller, Christoph (author)
- Leibniz Association,Potsdam Institute for Climate Impact Research
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- Elliott, Joshua (author)
- University of Chicago
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- Ruane, Alex C. (author)
- NASA Goddard Institute for Space Studies
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- Jägermeyr, Jonas (author)
- NASA Goddard Institute for Space Studies,University of Chicago,Leibniz Association
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- Balkovic, Juraj (author)
- International Institute for Applied Systems Analysis,Comenius University
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- Ciais, Philippe (author)
- Peking University
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- Dury, Marie (author)
- University of Liège
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- Falloon, Pete D. (author)
- Met Office
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- Folberth, Christian (author)
- International Institute for Applied Systems Analysis
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- François, Louis (author)
- University of Liège
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- Hank, Tobias (author)
- Ludwig-Maximilian University of Munich
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- Hoffmann, Munir (author)
- Leibniz-Zentrum fur Agrarlandschaftsforschung (ZALF) e. V.,University of Göttingen
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- Izaurralde, R. Cesar (author)
- University of Maryland
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- Jacquemin, Ingrid (author)
- University of Liège
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- Jones, Curtis (author)
- University of Maryland
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- Khabarov, Nikolay (author)
- International Institute for Applied Systems Analysis
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- Koch, Marian (author)
- University of Göttingen
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- Li, Michelle (author)
- University of Chicago
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- Liu, Wenfeng (author)
- Eawag: Swiss Federal Institute of Aquatic Science and Technology
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- Olin, Stefan (author)
- Lund University,Lunds universitet,MERGE: ModElling the Regional and Global Earth system,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science
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- Phillips, Meridel (author)
- NASA Goddard Institute for Space Studies
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- Pugh, Thomas A.M. (author)
- University of Birmingham
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- Reddy, Ashwan (author)
- University of Maryland
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- Wang, Xuhui (author)
- Peking University
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- Williams, Karina (author)
- University of Exeter,Met Office
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- Zabel, Florian (author)
- Ludwig-Maximilian University of Munich
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- Moyer, Elisabeth J. (author)
- University of Chicago
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(creator_code:org_t)
- 2020-05-18
- 2020
- English 22 s.
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In: Geoscientific Model Development. - : Copernicus GmbH. - 1991-959X .- 1991-9603. ; 13:5, s. 2315-2336
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Abstract
Subject headings
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- Concerns about food security under climate change motivate efforts to better understand future changes in crop yields. Process-based crop models, which represent plant physiological and soil processes, are necessary tools for this purpose since they allow representing future climate and management conditions not sampled in the historical record and new locations to which cultivation may shift. However, process-based crop models differ in many critical details, and their responses to different interacting factors remain only poorly understood. The Global Gridded Crop Model Intercomparison (GGCMI) Phase 2 experiment, an activity of the Agricultural Model Intercomparison and Improvement Project (AgMIP), is designed to provide a systematic parameter sweep focused on climate change factors and their interaction with overall soil fertility, to allow both evaluating model behavior and emulating model responses in impact assessment tools. In this paper we describe the GGCMI Phase 2 experimental protocol and its simulation data archive. A total of 12 crop models simulate five crops with systematic uniform perturbations of historical climate, varying CO2, temperature, water supply, and applied nitrogen ("CTWN") for rainfed and irrigated agriculture, and a second set of simulations represents a type of adaptation by allowing the adjustment of growing season length. We present some crop yield results to illustrate general characteristics of the simulations and potential uses of the GGCMI Phase 2 archive. For example, in cases without adaptation, modeled yields show robust decreases to warmer temperatures in almost all regions, with a nonlinear dependence that means yields in warmer baseline locations have greater temperature sensitivity. Inter-model uncertainty is qualitatively similar across all the four input dimensions but is largest in high-latitude regions where crops may be grown in the future.
Subject headings
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Klimatforskning (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Climate Research (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Vattenteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Water Engineering (hsv//eng)
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- By the author/editor
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Franke, James A.
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Müller, Christop ...
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Elliott, Joshua
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Ruane, Alex C.
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Jägermeyr, Jonas
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Balkovic, Juraj
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show more...
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Ciais, Philippe
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Dury, Marie
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Falloon, Pete D.
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Folberth, Christ ...
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François, Louis
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Hank, Tobias
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Hoffmann, Munir
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Izaurralde, R. C ...
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Jacquemin, Ingri ...
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Jones, Curtis
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Khabarov, Nikola ...
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Koch, Marian
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Li, Michelle
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Liu, Wenfeng
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Olin, Stefan
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Phillips, Meride ...
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Pugh, Thomas A.M ...
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Reddy, Ashwan
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Wang, Xuhui
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Williams, Karina
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Zabel, Florian
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Moyer, Elisabeth ...
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show less...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Earth and Relate ...
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and Climate Research
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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Lund University