TY - JOUR
T1 - Assessing the impacts of 1.5ĝ€°C global warming - Simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b)
AU - Frieler, Katja
AU - Lange, Stefan
AU - Piontek, Franziska
AU - Reyer, Christopher P.O.
AU - Schewe, Jacob
AU - Warszawski, Lila
AU - Zhao, Fang
AU - Chini, Louise
AU - Denvil, Sebastien
AU - Emanuel, Kerry
AU - Geiger, Tobias
AU - Halladay, Kate
AU - Hurtt, George
AU - Mengel, Matthias
AU - Murakami, Daisgbre
AU - Ostberg, Sebastian
AU - Popp, Alexander
AU - Riva, Riccardo
AU - Stevanovic, Miodrag
AU - SuzGBRi, Tatsuo
AU - Volkholz, Jan
AU - Burke, Eleanor
AU - Ciais, Philippe
AU - Ebi, Kristie
AU - Eddy, Tyler D.
AU - Elliott, Joshua
AU - Galbraith, Eric
AU - Gosling, Simon N.
AU - Hattermann, Fred
AU - Hickler, Thomas
AU - Hinkel, Jochen
AU - Hof, Christian
AU - Huber, Veronika
AU - Jägermeyr, Jonas
AU - Krysanova, Valentina
AU - Marcé, Rafael
AU - Müller Schmied, Hannes
AU - Mouratiadou, Ioanna
AU - Pierson, Don
AU - Tittensor, Derek P.
AU - Vautard, Robert
AU - Van Vliet, Michelle
AU - Biber, Matthias F.
AU - Betts, Richard A.
AU - Leon Bodirsky, Benjamin
AU - Deryng, Delphine
AU - Frolking, Steve
AU - Jones, Chris D.
AU - Lotze, Heike K.
AU - Lotze-Campen, Hermann
AU - Sahajpal, Ritvik
AU - Thonicke, Kirsten
AU - Tian, Hanqin
AU - Yamagata, Yoshiki
N1 - Funding Information:
Tatsuo Suzuki acknowledges funding from the Program for Risk Information on Climate Change by the Japanese Ministry of Education, Sports, Science and Technology. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements no. 689150 (SIM4NEXUS) and no. 642147 (CD-LINKS).
Funding Information:
Acknowledgements. We thank Graham Weedon (Met Office) and Emanuel Dutra (ECMWF), who helped a lot to put together the EWEMBI dataset. COST Action FP1304 for supporting biomes meeting. This research was supported by German Federal Ministry of Education and Research (BMBF, grant no. 01LS1201A2) and in part by the EU FP7 HELIX project (grant no. 603864). Some authors acknowledge funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 641816 (CRESCENDO). Some authors acknowledge support from the Leibniz Competition project SAW-2013-PIK-5 (EX-PACT). Some authors acknowledge and appreciate funding by the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety 11_II_093_Global_A_SIDS_and_LDCs (SURVIVE). Authors acknowledge funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 641816 (CRESCENDO). Met Office authors were supported by the joint UK BEIS–Defra Met Office Hadley Centre Climate Programme (GA01101). Jochen Hinkel has received funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under grant agreement no. 603396 (RISES-AM project) and from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 642018 (GREEN-WIN project). Derek Tittensor acknowledges funding from the Kanne Rassmussen Foundation, Denmark. The work of Kate Halladay, Eleanor Burke, Richard A. Betts and Chris D. Jones forms part of the BEIS– Defra Met Office Hadley Centre Climate Programme GA01101. Philippe Ciais acknowledges support from the European Research Council Synergy grant ERC-2013-SyG-610028 IMBALANCE-P and the ANR Convergence Lab project CLAND. Tyler Eddy acknowledges funding from the Nippon Foundation to the Nereus Program. Hanqin Tian acknowledges funding from US National Science Foundation (1243232), National Key Research and Development Program of China (no. 2017YFA0604700), SKLURE Grant (SKLURE2017-1-6).
Funding Information:
Riccardo E. M. Riva acknowledges funding from the Netherlands Organization for Scientific Research VIDI grant 864.12.012.
Publisher Copyright:
© Author(s) 2017.
PY - 2017/11/30
Y1 - 2017/11/30
N2 - 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 1.5ĝ€°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 1.5ĝ€°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).
AB - 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 1.5ĝ€°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 1.5ĝ€°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).
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U2 - 10.5194/gmd-10-4321-2017
DO - 10.5194/gmd-10-4321-2017
M3 - Article
AN - SCOPUS:85036644673
SN - 1991-959X
VL - 10
SP - 4321
EP - 4345
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 12
ER -