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

  • Katja Frieler*
  • , Stefan Lange
  • , Franziska Piontek
  • , Christopher P.O. Reyer
  • , Jacob Schewe
  • , Lila Warszawski
  • , Fang Zhao
  • , Louise Chini
  • , Sebastien Denvil
  • , Kerry Emanuel
  • , Tobias Geiger
  • , Kate Halladay
  • , George Hurtt
  • , Matthias Mengel
  • , Daisgbre Murakami
  • , Sebastian Ostberg
  • , Alexander Popp
  • , Riccardo Riva
  • , Miodrag Stevanovic
  • , Tatsuo SuzGBRi
  • Jan Volkholz, Eleanor Burke, Philippe Ciais, Kristie Ebi, Tyler D. Eddy, Joshua Elliott, Eric Galbraith, Simon N. Gosling, Fred Hattermann, Thomas Hickler, Jochen Hinkel, Christian Hof, Veronika Huber, Jonas Jägermeyr, Valentina Krysanova, Rafael Marcé, Hannes Müller Schmied, Ioanna Mouratiadou, Don Pierson, Derek P. Tittensor, Robert Vautard, Michelle Van Vliet, Matthias F. Biber, Richard A. Betts, Benjamin Leon Bodirsky, Delphine Deryng, Steve Frolking, Chris D. Jones, Heike K. Lotze, Hermann Lotze-Campen, Ritvik Sahajpal, Kirsten Thonicke, Hanqin Tian, Yoshiki Yamagata
*Corresponding author for this work
  • Potsdam Institute for Climate Impact Research
  • Department of Geographical Sciences
  • University of Maryland, College Park
  • Institut Pierre-Simon Laplace
  • Program for Atmospheres
  • Massachusetts Institute of Technology
  • Met Office
  • Department of Statistical Modeling
  • Institute of Statistical Mathematics
  • Geography Department
  • Humboldt University of Berlin
  • Delft University of Technology
  • Department of Integrated Climate Change Projection Research
  • Japan Agency for Marine-Earth Science and Technology
  • CEA CNRS UVSQ
  • University of Washington
  • Department of Biology
  • Dalhousie University
  • Nereus Program
  • University of British Columbia
  • Columbia University
  • Computation Institute
  • The University of Chicago
  • Autonomous University of Barcelona
  • ICREA
  • School of Geography
  • University of Nottingham
  • Senckenberg Leibniz Biodiversity and Climate Research Centre Frankfurt (SBiK-F)
  • Global Climate Forum
  • Division of Resource Economics
  • Catalan Institute for Water Research
  • Institute of Physical Geography
  • Goethe University Frankfurt
  • Utrecht University
  • Department of Limnology
  • Uppsala University
  • United Nations Environment Programme-World Conservation Monitoring Centre (UNEP-WCMC)
  • Water Systems and Global Change Group
  • Wageningen University & Research
  • College of Life and Environmental Sciences
  • Hatherly Laboratories
  • Climate Analytics
  • Institute for the Study of Earth
  • University of New Hampshire
  • Department of Agricultural Economics
  • Auburn University
  • State Key Laboratory of Urban and Regional Ecology
  • CAS - Research Center for Eco-Environmental Sciences
  • Center for Global Environmental Research
  • National Institute for Environmental Studies of Japan

Research output: Contribution to journal › Article › peer-review

Abstract

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 <q>special report in 2018 on the impacts of global warming of 1.5ĝ€°C above pre-industrial levels and related global greenhouse gas emission pathways</q>. 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 1.5ĝ€°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).

Original languageEnglish
Pages (from-to)4321-4345
Number of pages25
JournalGeoscientific Model Development
Volume10
Issue number12
DOIs
StatePublished - 30 Nov 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  3. SDG 15 - Life on Land
    SDG 15 Life on Land

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