Released
Dataset

ISIMIP2b Simulation Data from Agricultural Sector

Cite as:

Arneth, Almut; Jägermeyr, Jonas; Rabin, Sam; Folberth, Christian; Khabarov, Nikolay; Liu, Wenfeng; Müller, Christoph; Seneviratne, Sonia I.; Thiery, Wim; Yang, Hong; Büchner, Matthias; Volkholz, Jan; Frieler, Katja (2019): ISIMIP2b Simulation Data from Agricultural Sector. GFZ Data Services. https://doi.org/10.5880/PIK.2020.003

Status

I   N       R   E   V   I   E   W : Arneth, Almut; Jägermeyr, Jonas; Rabin, Sam; Folberth, Christian; Khabarov, Nikolay; Liu, Wenfeng; Müller, Christoph; Seneviratne, Sonia I.; Thiery, Wim; Yang, Hong; Büchner, Matthias; Volkholz, Jan; Frieler, Katja (2019): ISIMIP2b Simulation Data from Agricultural Sector. GFZ Data Services. https://doi.org/10.5880/PIK.2020.003

Abstract

The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a set of consistent, multi-sector, multi-scale climate-impact simulations, based on scientifically and politically relevant historical and future scenarios. This framework serves as a basis for robust projections of climate impacts, as well as facilitating model evaluation and improvement, allowing for advanced estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming. It also provides a unique opportunity to consider interactions between climate impacts across sectors.

ISIMIP2b is the second simulation round of the second phase of ISIMIP. ISIMIP2b considers impacts on different sectors at the global and regional scales: water, fisheries and marine ecosystems, energy supply and demand, forests, biomes, agriculture, agro-economic modeling, terrestrial biodiversity, permafrost, coastal infrastructure, health and lakes.

ISIMIP2b simulations focus on separating the impacts and quantifying the pure climate change effects of historical warming (1861-2005) compared to pre-industrial reference levels (1661-1860); and on quantifying the future (2006-2099) and extended future (2006-2299) impact projections accounting for low (RCP2.6), mid-high (RCP6.0) and high (RCP8.5) greenhouse gas emissions, assuming either constant (year 2005) or dynamic population, land and water use and -management, economic development, bioenergy demand, and other societal factors. The scientific rationale for the scenario design is documented in Frieler et al. (2017).

The ISIMIP2b bias-corrected observational climate input data (Lange, 2018; Frieler et al., 2017) consists of an updated version of the observational dataset EWEMBI at daily temporal and 0.5° spatial resolution, which better represents the CMIP5 GCM ensemble in terms of both spatial model resolution and equilibrium climate sensitivity. The bias correction methods (Lange, 2018; Frieler et al., 2017; Lange, 2016) were applied to CMIP5 output of GDFL-ESM2M, HadGEM2-ES, IPSL-CM5A-LP and MIROC5. Access to the input data for the impact models, and further information on bias correction methods, is provided through a central ISIMIP archive (see https://www.isimip.org/gettingstarted/isimip2b-bias-correction).

This entry refers to the ISIMIP2b simulation data from three agricultural models: GEPIC, LPJmL and PEPIC.
----------------------------------------------------------------------------
The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) simulation data is under continuous review and improvement, and updates are thus likely to happen. All changes and caveats are documented under https://www.isimip.org/outputdata/output-data-changelog/ (ISIMIP Changelog) and https://www.isimip.org/outputdata/dois-isimip-data-sets/ (ISIMIP DOI publications).
----------------------------------------------------------------------------

Methods

The ISIMIP2b agricultural outputs are based on simulations from 3 global agricultural models (see Abstract) according to the ISIMIP2b protocol (https://www.isimip.org/protocol/#isimip2b). The models simulate crop yields and irrigation water withdrawal (assuming unlimited water supply and no conveyance losses), using their own assumptions on planting dates, crop variety parameters, as well as fertilizer use (P, K) other than N fertilizers, which were given as an input. A more detailed description of the models and model-specific amendments of the protocol are available here: https://www.isimip.org/impactmodels/

Authors

  • Arneth, Almut;Karlsruhe Institute of Technology (KIT), Germany
  • Jägermeyr, Jonas;Potsdam-Institute for Climate Impact Research (PIK), Germany; Department of Computer Science, University of Chicago, USA; NASA Goddard Institute for Space Studies, USA
  • Rabin, Sam;Karlsruhe Institute of Technology (KIT), Germany
  • Folberth, Christian;International Institute for Applied Systems Analysis (IIASA), Austria
  • Khabarov, Nikolay;International Institute for Applied Systems Analysis (IIASA), Austria
  • Liu, Wenfeng;Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Switzerland
  • Müller, Christoph;Potsdam-Institute for Climate Impact Research (PIK), Germany
  • Seneviratne, Sonia I.;ETH Zurich, Zurich, Switzerland
  • Thiery, Wim;Vrije Universiteit Brussel, Brussels, Belgium;ETH Zurich, Zurich, Switzerland
  • Yang, Hong;Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Switzerland
  • Büchner, Matthias;Potsdam-Institute for Climate Impact Research (PIK), Germany
  • Volkholz, Jan;Potsdam-Institute for Climate Impact Research (PIK), Germany
  • Frieler, Katja;Potsdam-Institute for Climate Impact Research (PIK), Germany

Contact

  • ISIMIP Coordination Team; Potsdam-Institute for Climate Impact Research (PIK), Germany; ➦
  • Frieler, Katja (ISIMIP Coordination Team) ; Potsdam-Institute for Climate Impact Research (PIK), Germany; ➦
  • Jägermeyr, Jonas (Sector Coordinator) ; Potsdam-Institute for Climate Impact Research (PIK), Germany; Department of Computer Science, University of Chicago, USA; NASA Goddard Institute for Space Studies, USA; ➦
  • Rabin, Sam (Sector Coordinator) ; Karlsruhe Institute of Technology (KIT), Germany; ➦
  • Arneth, Almut (Sector Coordinator) ; Karlsruhe Institute of Technology (KIT), Germany; ➦
  • Folberth, Christian (GEPIC Contact) ; International Institute for Applied Systems Analysis (IIASA), Austria; ➦
  • Müller, Christoph (LPJmL Contact) ; Potsdam-Institute for Climate Impact Research (PIK), Germany; ➦
  • Liu, Wenfeng (PEPIC Contact) ; Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Switzerland; ➦
  • Thiery, Wim (CLM4.5 Contact) ; Vrije Universiteit Brussel, Brussels, Belgium; ➦

Contributors

ISIMIP Coordination Team

Keywords

ISIMIP

GCMD Science Keywords

Location

Click/hover over markers or bounding boxes to see related details. Click/hover over details to see related marker or bounding box. To explore to full geographic extent of the map please click and drag the map

    Files

    License: Model data are licensed under CC BY 4.0

    Dataset Description

    Documented by

    Related Work

    Cites

    Referenced by

    References