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Journal Article

Assessing inter-sectoral climate change risks: the role of ISIMIP

Authors

Rosenzweig,  C.
External Organizations;

Arnell,  N. W.
External Organizations;

Ebi,  K. L.
External Organizations;

/persons/resource/Lotze-Campen

Lotze-Campen,  Hermann
Potsdam Institute for Climate Impact Research;

Raes,  F.
External Organizations;

Rapley,  C.
External Organizations;

Stafford Smith,  M.
External Organizations;

Cramer,  W.
External Organizations;

/persons/resource/Katja.Frieler

Frieler,  Katja
Potsdam Institute for Climate Impact Research;

/persons/resource/Reyer

Reyer,  Christopher P. O.
Potsdam Institute for Climate Impact Research;

/persons/resource/Schewe

Schewe,  Jacob
Potsdam Institute for Climate Impact Research;

Vuuren,  D. van
External Organizations;

/persons/resource/lila.warszawski

Warszawski,  Lila
Potsdam Institute for Climate Impact Research;

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Fulltext (public)

7336oa.pdf
(Publisher version), 3MB

Supplementary Material (public)
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Citation

Rosenzweig, C., Arnell, N. W., Ebi, K. L., Lotze-Campen, H., Raes, F., Rapley, C., Stafford Smith, M., Cramer, W., Frieler, K., Reyer, C. P. O., Schewe, J., Vuuren, D. v., Warszawski, L. (2017): Assessing inter-sectoral climate change risks: the role of ISIMIP. - Environmental Research Letters, 12, 1, 010301.
https://doi.org/10.1088/1748-9326/12/1/010301


Cite as: https://publications.pik-potsdam.de/pubman/item/item_21158
Abstract
The aims of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) are to provide a framework for the intercomparison of global and regional-scale risk models within and across multiple sectors and to enable coordinated multi-sectoral assessments of different risks and their aggregated effects. The overarching goal is to use the knowledge gained to support adaptation and mitigation decisions that require regional or global perspectives within the context of facilitating transformations to enable sustainable development, despite inevitable climate shifts and disruptions. ISIMIP uses community-agreed sets of scenarios with standardized climate variables and socio-economic projections as inputs for projecting future risks and associated uncertainties, within and across sectors. The results are consistent multi-model assessments of sectoral risks and opportunities that enable studies that integrate across sectors, providing support for implementation of the Paris Agreement under the United Nations Framework Convention on Climate Change.