Evidence map›Paper›PMID 31068583›Full record

ArticleScientific data2019

The Global Gridded Crop Model Intercomparison phase 1 simulation dataset.

Christoph Müller, Joshua Elliott, David Kelly, Almut Arneth, Juraj Balkovic, Philippe Ciais, Delphine Deryng, Christian Folberth, Steven Hoek, Roberto C Izaurralde and 15 more

Abstract read
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  3. Future projections of European maize yields using AquaCrop with an adaptive growing season.European journal of agronomy : the journal of the European Society for Agronomy · 2026
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  11. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Christoph MüllerPotsdam Institute for Climate Impact Research, Member of the Leibniz Association, 14473, Potsdam, Germany. Christoph.Mueller@pik-potsdam.de.ORCID http://orcid.org/0000-0002-9491-3550
Joshua ElliottUniversity of Chicago and ANL Computation Institute, Chicago, IL, 60637, USA.
David KellyUniversity of Chicago and ANL Computation Institute, Chicago, IL, 60637, USA.
Almut ArnethKarlsruhe Institute of Technology, IMK-IFU, 82467, Garmisch-Partenkirchen, Germany.
Juraj BalkovicEcosystem Services and Management Program, International Institute for Applied Systems Analysis, 2361, Laxenburg, Austria.
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ Orme des Merisiers, F-91191, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0001-8560-4943
Delphine DeryngUniversity of Chicago and ANL Computation Institute, Chicago, IL, 60637, USA.ORCID http://orcid.org/0000-0001-6214-7241
Christian FolberthEcosystem Services and Management Program, International Institute for Applied Systems Analysis, 2361, Laxenburg, Austria.ORCID http://orcid.org/0000-0002-6738-5238
Steven HoekEarth Observation and Environmental Informatics, Alterra Wageningen University and Research Centre, 6708PB, Wageningen, Netherlands.
Roberto C IzaurraldeDepartment of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA.
Curtis D JonesDepartment of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA.
Nikolay KhabarovEcosystem Services and Management Program, International Institute for Applied Systems Analysis, 2361, Laxenburg, Austria.ORCID http://orcid.org/0000-0001-5372-4668
Peter LawrenceEarth System Laboratory, National Center for Atmospheric Research, Boulder, CO, 80307, USA.ORCID http://orcid.org/0000-0002-4843-4903
Wenfeng LiuLaboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ Orme des Merisiers, F-91191, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0002-8699-3677
Stefan OlinDepartment of Physical Geography and Ecosystem Science, Lund University, 223 62, Lund, Sweden.
Thomas A M PughSchool of Geography, Earth & Environmental Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom.
Ashwan ReddyDepartment of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA.
Cynthia RosenzweigCenter for Climate Systems Research, Columbia University, New York, NY, 10025, USA.
Alex C RuaneCenter for Climate Systems Research, Columbia University, New York, NY, 10025, USA.
Gen SakuraiInstitute for Agro-Environmental Sciences, National Agriculture and Research Organization, Tsukuba, 305-8604, Japan.
Erwin SchmidInstitute for Sustainable Economic Development, University of Natural Resources and Life Sciences, 1180, Vienna, Austria.
Rastislav SkalskyEcosystem Services and Management Program, International Institute for Applied Systems Analysis, 2361, Laxenburg, Austria.
Xuhui WangLaboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ Orme des Merisiers, F-91191, Gif-sur-Yvette, France.
Allard de WitEarth Observation and Environmental Informatics, Alterra Wageningen University and Research Centre, 6708PB, Wageningen, Netherlands.
Hong YangEawag, Swiss Federal Institute of Aquatic Science and Technology, CH-8600, Duebendorf, Switzerland.

Funding

European Commission (EC) 308393European Commission (EC) 603542Svenska Forskningsrådet Formas (Swedish Research Council Formas) 211-2009-1682
6 · The paper itself

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.

Identifiers

PMID31068583
PMCPMC6506552

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.