Published November 30, 2017 | Version v1
Journal article Open

Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b)

  • 1. Potsdam Institute for Climate Impact Research
  • 2. University of Maryland
  • 3. Institut Pierre-Simon Laplace
  • 4. Massachusetts Institute of Technology
  • 5. Met Office
  • 6. Institute of Statistical Mathematics
  • 7. Delft University of Technology
  • 8. Japan Agency for Marine-Earth Science and Technology
  • 9. University of Chicago

Description

In Paris, France, December 2015, the Conference of the Parties (COP) to the United Nations Framework Convention on Climate Change (UNFCCC) invited the Intergovernmental Panel on Climate Change (IPCC) to provide a special report in 2018 on the impacts of global warming of 1.5 °C above pre-industrial levels and related global greenhouse gas emission pathways. In Nairobi, Kenya, April 2016, the IPCC panel accepted the invitation. Here we describe the response devised within the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) to provide tailored, cross-sectorally consistent impact projections to broaden the scientific basis for the report. The simulation protocol is designed to allow for (1) separation of the impacts of historical warming starting from pre-industrial conditions from impacts of other drivers such as historical land-use changes (based on pre-industrial and historical impact model simulations); (2) quantification of the impacts of additional warming up to 1.5 °C, including a potential overshoot and long-term impacts up to 2299, and comparison to higher levels of global mean temperature change (based on the low-emissions Representative Concentration Pathway RCP2.6 and a no-mitigation pathway RCP6.0) with socio-economic conditions fixed at 2005 levels; and (3) assessment of the climate effects based on the same climate scenarios while accounting for simultaneous changes in socio-economic conditions following the middle-of-the-road Shared Socioeconomic Pathway (SSP2, Fricko et al., 2016) and in particular differential bioenergy requirements associated with the transformation of the energy system to comply with RCP2.6 compared to RCP6.0. With the aim of providing the scientific basis for an aggregation of impacts across sectors and analysis of cross-sectoral interactions that may dampen or amplify sectoral impacts, the protocol is designed to facilitate consistent impact projections from a range of impact models across different sectors (global and regional hydrology, lakes, global crops, global vegetation, regional forests, global and regional marine ecosystems and fisheries, global and regional coastal infrastructure, energy supply and demand, temperature-related mortality, and global terrestrial biodiversity).

Notes

Due to the large number of authors, only the first 20 and the University of Chicago authors are included on the above author list. Please download the article for the complete list of authors.

Data availability

All input data described in Sects. 3 to 7 will be made publicly available. Availability is documented on www.isimip.org where the way of accessing the data will also be described. Model output is already partly available via https://esg.pik-potsdam.de. Access to the hurricane projections can be gained by request via info@windrisktech.com.

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Additional details

Identifiers

DOI
10.5194/gmd-10-4321-2017
Other
oai:uchicago.tind.io:13660

Funding

Bundesministerium für Forschung, Technologie und Raumfahrt
01LS1201A2
European Union
EU FP7 HELIX
European Union
Horizon 2020 research and innovation programme
Leibniz Competition
SAW-2013-PIK-5
Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz
UK BEIS–Defra Met Office Hadley Centre Climate Programme
GA01101
European Union
Seventh Programme for Research, Technological Development and Demonstration
European Union
Horizon 2020 research and innovation programme
European Union
Synergy grant
U.S. National Science Foundation
1243232
National Key Research and Development Program of China
2017YFA0604700
SKLURE
SKLURE2017-1-6
European Union
Horizon 2020 research and innovation programme
European Union
Horizon 2020 research and innovation programme
Dutch Research Council
VIDI grant

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Computational Neuroscience