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The Global Gridded Crop Model Intercomparison phase 1 simulation dataset
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6506552/ https://www.ncbi.nlm.nih.gov/pubmed/31068583 http://dx.doi.org/10.1038/s41597-019-0023-8 |
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author | Müller, Christoph Elliott, Joshua Kelly, David Arneth, Almut Balkovic, Juraj Ciais, Philippe Deryng, Delphine Folberth, Christian Hoek, Steven Izaurralde, Roberto C. Jones, Curtis D. Khabarov, Nikolay Lawrence, Peter Liu, Wenfeng Olin, Stefan Pugh, Thomas A. M. Reddy, Ashwan Rosenzweig, Cynthia Ruane, Alex C. Sakurai, Gen Schmid, Erwin Skalsky, Rastislav Wang, Xuhui de Wit, Allard Yang, Hong |
author_facet | Müller, Christoph Elliott, Joshua Kelly, David Arneth, Almut Balkovic, Juraj Ciais, Philippe Deryng, Delphine Folberth, Christian Hoek, Steven Izaurralde, Roberto C. Jones, Curtis D. Khabarov, Nikolay Lawrence, Peter Liu, Wenfeng Olin, Stefan Pugh, Thomas A. M. Reddy, Ashwan Rosenzweig, Cynthia Ruane, Alex C. Sakurai, Gen Schmid, Erwin Skalsky, Rastislav Wang, Xuhui de Wit, Allard Yang, Hong |
author_sort | Müller, Christoph |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6506552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65065522019-05-09 The Global Gridded Crop Model Intercomparison phase 1 simulation dataset Müller, Christoph Elliott, Joshua Kelly, David Arneth, Almut Balkovic, Juraj Ciais, Philippe Deryng, Delphine Folberth, Christian Hoek, Steven Izaurralde, Roberto C. Jones, Curtis D. Khabarov, Nikolay Lawrence, Peter Liu, Wenfeng Olin, Stefan Pugh, Thomas A. M. Reddy, Ashwan Rosenzweig, Cynthia Ruane, Alex C. Sakurai, Gen Schmid, Erwin Skalsky, Rastislav Wang, Xuhui de Wit, Allard Yang, Hong Sci Data Data Descriptor 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. Nature Publishing Group UK 2019-05-08 /pmc/articles/PMC6506552/ /pubmed/31068583 http://dx.doi.org/10.1038/s41597-019-0023-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Müller, Christoph Elliott, Joshua Kelly, David Arneth, Almut Balkovic, Juraj Ciais, Philippe Deryng, Delphine Folberth, Christian Hoek, Steven Izaurralde, Roberto C. Jones, Curtis D. Khabarov, Nikolay Lawrence, Peter Liu, Wenfeng Olin, Stefan Pugh, Thomas A. M. Reddy, Ashwan Rosenzweig, Cynthia Ruane, Alex C. Sakurai, Gen Schmid, Erwin Skalsky, Rastislav Wang, Xuhui de Wit, Allard Yang, Hong The Global Gridded Crop Model Intercomparison phase 1 simulation dataset |
title | The Global Gridded Crop Model Intercomparison phase 1 simulation dataset |
title_full | The Global Gridded Crop Model Intercomparison phase 1 simulation dataset |
title_fullStr | The Global Gridded Crop Model Intercomparison phase 1 simulation dataset |
title_full_unstemmed | The Global Gridded Crop Model Intercomparison phase 1 simulation dataset |
title_short | The Global Gridded Crop Model Intercomparison phase 1 simulation dataset |
title_sort | global gridded crop model intercomparison phase 1 simulation dataset |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6506552/ https://www.ncbi.nlm.nih.gov/pubmed/31068583 http://dx.doi.org/10.1038/s41597-019-0023-8 |
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