ISIMIP2b Simulation Data from the Agriculture Sector

Cite as

Christoph Müller, Joshua W. Elliott, Christian Folberth, Jonas Jägermeyr, Nikolay Khabarov, Sonia Seneviratne, Wim Thiery, Katja Frieler (2024): ISIMIP2b Simulation Data from the Agriculture Sector (v1.1). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.682003.1

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.682003.1
Title:
ISIMIP2b Simulation Data from the Agriculture Sector
Version:
1.1
Creators:
Contact person:

For inquiries concerning this dataset, please contact info@isimip.org.

Abstract:

This dataset contains ISIMIP2b (https://www.isimip.org, Frieler et al. 2017) simulation data from 4 agriculture models: CLM4.5 (Thiery et al. 2017, Lawrence et al. 2011), GEPIC (Izaurralde et al. 2005, Williams et al. 1989, Williams et al. 2007, Folberth et al. 2012). LPJmL (Bondeau et al. 2007, Müller et al. 2013, Müller et al. 2016), PEPIC (Lui et al. 2016, Lui et al. 2016).

Version 1.1 fixes a minor issue with the metadata of LPJmL matyday files (#63).

Methods:

The ISIMIP2b agriculture outputs are based on simulations from agriculture models according to the ISIMIP2b protocol (https://www.isimip.org/protocol/2b/). A more detailed description of the models and model-specific amendments of the protocol are available at https://www.isimip.org/impactmodels.

Publication date:
July 3, 2024
Publisher:
ISIMIP Repository
Contributors:

Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset.

Rights

Attribution 4.0 International
Attribution 4.0 International (CC BY 4.0)
When using ISIMIP data for your research, please appropriately credit the data providers, e.g. either by citing the DOI for the dataset, or by appropriate acknowledgment. We strongly encourage to offer co-authorship to at least a representative of the data providers. Further information can be found in our terms of use.

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References

  • Bondeau A., Smith P., Zaehle S., Schaphoff S., Lucht W., Cramer W., Gerten D., Lotze-Campen H., Müller C., Reichstein M., Smith B. et al. Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Global Change Biology, 13, 679-706, 2007. https://doi.org/10.1111/j.1365-2486.2006.01305.x
  • Folberth C, Gaiser T, Abbaspour K, Schulin R, Yang H et al. Regionalization of a large-scale crop growth model for sub-Saharan Africa: Model setup, evaluation, and estimation of maize yields. Agriculture, Ecosystems & Environment, 151, 21-33, 2012. https://doi.org/10.1016/j.agee.2012.01.026
  • Frieler, K., Lange, S., Piontek, F., Reyer, C. P. O., Schewe, J., Warszawski, L., Zhao, F., Chini, L., Denvil, S., Emanuel, K., Geiger, T., Halladay, K., Hurtt, G., Mengel, M., Murakami, D., Ostberg, S., Popp, A., Riva, R., Stevanovic, M., Suzuki, T., Volkholz, J., Burke, E., Ciais, P., Ebi, K., Eddy, T. D., Elliott, J., Galbraith, E., Gosling, S. N., Hattermann, F., Hickler, T., Hinkel, J., Hof, C., Huber, V., Jägermeyr, J., Krysanova, V., Marcé, R., Müller Schmied, H., Mouratiadou, I., Pierson, D., Tittensor, D. P., Vautard, R., van Vliet, M., Biber, M. F., Betts, R. A., Bodirsky, B. L., Deryng, D., Frolking, S., Jones, C. D., Lotze, H. K., Lotze-Campen, H., Sahajpal, R., Thonicke, K., Tian, H., and Yamagata, Y.: Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), Geosci. Model Dev., 10, 4321–4345, 2017. https://doi.org/10.5194/gmd-10-4321-2017
  • Izaurralde R, Williams J, McGill W, Rosenberg N, Jakas M et al. Simulating soil C dynamics with EPIC: Model description and testing against long-term data. Ecological Modelling, 192, 362-384, 2005. https://doi.org/10.1016/j.ecolmodel.2005.07.010
  • J. R. Williams, C. A. Jones, J. R. Kiniry, D. A. Spanel et al. et al. The EPIC Crop Growth Model. Transactions of the ASAE, 32, 0497-0511, 1989. https://doi.org/10.13031/2013.31032
  • Lawrence, D., et al., Parameterization Improvements and Functional and Structural Advances in Version 4 of the Community Land Model. J. Adv. Model. Earth Syst., 3, M03001, 2011. https://doi.org/10.1029/2011MS000045
  • Liu J, Williams J, Zehnder A, Yang H et al. GEPIC – modelling wheat yield and crop water productivity with high resolution on a global scale. Agricultural Systems, 94, 478-493, 2007. https://doi.org/10.1016/j.agsy.2006.11.019
  • Liu W, Yang H, Folberth C, Wang X, Luo Q. Schulin R et al. Global investigation of impacts of PET methods on simulating crop-water relations for maize. Agricultural and Forest Meteorology, 221, 164-175, 2016. https://doi.org/10.1016/j.agrformet.2016.11.072
  • Liu W, Yang H, Liu J, Azevedo L, Wang X, Xu Z, Abbaspour K, Schulin R et al. Global assessment of nitrogen losses and trade-offs with yields from major crop cultivations. Science of The Total Environment, 572, 526-537, 2016. https://doi.org/10.1016/j.scitotenv.2016.08.093
  • Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde R, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh T, Ray D, Reddy A, Rosenzweig C, Ruane A, Sakurai G, Schmid E, Skalsky R, Song C, Wang X, de Wit A, Yang H et al. Global Gridded Crop Model evaluation: benchmarking, skills, deficiencies and implications. Geoscientific Model Development Discussions, None, 1-39, 2016. https://doi.org/10.5194/gmd-2016-207
  • Müller C, Robertson R et al. Projecting future crop productivity for global economic modeling. Agricultural Economics, 45, 37-50, 2013. https://doi.org/10.1111/agec.12088
  • Thiery, W., et al. et al. Present-day irrigation mitigates heat extremes. J. Geophys. Res. Atm., 122, 1403-1422, 2017. https://doi.org/10.1002/2016JD025740

Additional documentation

This DOI is a new version of

  • Müller, Christoph; Elliott, Joshua W.; Folberth, Christian; Jägermeyr, Jonas; Khabarov, Nikolay; Seneviratne, Sonia; Thiery, Wim; Frieler, Katja (2023): ISIMIP2b Simulation Data from the Agriculture Sector. Version 1.0. ISIMIP Repository. (Dataset). https://doi.org/10.48364/ISIMIP.682003.

GCMD Keywords

  • EARTH SCIENCE > AGRICULTURE > AGRICULTURAL CHEMICALS > FERTILIZERS
  • EARTH SCIENCE > AGRICULTURE > AGRICULTURAL PLANT SCIENCE > CROP/PLANT YIELDS
  • EARTH SCIENCE > AGRICULTURE > AGRICULTURAL PLANT SCIENCE > IRRIGATION
  • EARTH SCIENCE > AGRICULTURE > SOILS > NITROGEN
  • EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > EVAPOTRANSPIRATION
  • EARTH SCIENCE > CLIMATE INDICATORS > LAND SURFACE/AGRICULTURE INDICATORS > LENGTH OF GROWING SEASON
  • EARTH SCIENCE > HUMAN DIMENSIONS > ECONOMIC RESOURCES > AGRICULTURE PRODUCTION
  • EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > ENVIRONMENTAL ASSESSMENTS
  • EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT
  • EARTH SCIENCE > HUMAN DIMENSIONS > HABITAT CONVERSION/FRAGMENTATION > IRRIGATION
  • EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > FAMINE
  • EARTH SCIENCE > HUMAN DIMENSIONS > SUSTAINABILITY > ENVIRONMENTAL SUSTAINABILITY
  • EARTH SCIENCE > HUMAN DIMENSIONS > SUSTAINABILITY > SUSTAINABLE DEVELOPMENT
  • EARTH SCIENCE > LAND SURFACE > SOILS > NITROGEN
  • EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT
  • Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled vocabularies maintained by NASA (more information).

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