The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO 2 , temperature, water, and nitrogen levels (protocol version 1.0) Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.5194/gmd-13-2315-2020
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.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/gmd-13-2315-2020
- https://gmd.copernicus.org/articles/13/2315/2020/gmd-13-2315-2020.pdf
- OA Status
- gold
- Cited By
- 87
- References
- 89
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2982202141
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https://openalex.org/W2982202141Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/gmd-13-2315-2020Digital Object Identifier
- Title
-
The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO 2 , temperature, water, and nitrogen levels (protocol version 1.0)Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-05-18Full publication date if available
- Authors
-
James Franke, Christoph Müller, Joshua Elliott, Alex C. Ruane, Jonas Jägermeyr, Juraj Balkovič, Philippe Ciais, Marie Dury, Pete Falloon, Christian Folberth, Louis François, Tobias Hank, Munir Hoffmann, R. C. Izaurralde, Ingrid Jacquemin, Curtis D. Jones, Nikolay Khabarov, Marian Koch, Michelle Li, Wenfeng Liu, Stefan Olin, Meridel Phillips, Thomas A. M. Pugh, Ashwan Reddy, Xuhui Wang, Karina Williams, Florian Zabel, E. J. MoyerList of authors in order
- Landing page
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https://doi.org/10.5194/gmd-13-2315-2020Publisher landing page
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https://gmd.copernicus.org/articles/13/2315/2020/gmd-13-2315-2020.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://gmd.copernicus.org/articles/13/2315/2020/gmd-13-2315-2020.pdfDirect OA link when available
- Concepts
-
Coupled model intercomparison project, Environmental science, Crop simulation model, Climate change, Agriculture, Crop, Climate model, Yield (engineering), Simulation modeling, Food security, Crop yield, Agricultural engineering, Climatology, Atmospheric sciences, Mathematics, Ecology, Physics, Biology, Engineering, Geology, Mathematical economics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
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87Total citation count in OpenAlex
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2025: 18, 2024: 14, 2023: 16, 2022: 21, 2021: 14Per-year citation counts (last 5 years)
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89Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.temperatures | 232 |
| abstract_inverted_index.Process-based | 18 |
| abstract_inverted_index.high-latitude | 267 |
| abstract_inverted_index.perturbations | 160 |
| abstract_inverted_index.physiological | 24 |
| abstract_inverted_index.process-based | 58 |
| abstract_inverted_index.qualitatively | 255 |
| abstract_inverted_index.Intercomparison | 82, 93 |
| abstract_inverted_index.characteristics | 206 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5033109660, https://openalex.org/A5050787568, https://openalex.org/A5100692272, https://openalex.org/A5045907059, https://openalex.org/A5046253804, https://openalex.org/A5100762441, https://openalex.org/A5065620590, https://openalex.org/A5021679464, https://openalex.org/A5069912221, https://openalex.org/A5030740782, https://openalex.org/A5070378593 |
| countries_distinct_count | 10 |
| institutions_distinct_count | 28 |
| corresponding_institution_ids | https://openalex.org/I116578957, https://openalex.org/I1293035123, https://openalex.org/I1294671590, https://openalex.org/I1317774081, https://openalex.org/I195731000, https://openalex.org/I20231570, https://openalex.org/I23923803, https://openalex.org/I2738703131, https://openalex.org/I315704651, https://openalex.org/I40347166, https://openalex.org/I4210113030, https://openalex.org/I4210124937, https://openalex.org/I4210134612, https://openalex.org/I60200437, https://openalex.org/I63664421, https://openalex.org/I74656192, https://openalex.org/I79619799, https://openalex.org/I8204097 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.98651982 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |