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  New damage curves and multimodel analysis suggest lower optimal temperature

van der Wijst, K.-I., Bosello, F., Dasgupta, S., Drouet, L., Emmerling, J., Hof, A., Leimbach, M., Parrado, R., Piontek, F., Standardi, G., van Vuuren, D. (2023): New damage curves and multimodel analysis suggest lower optimal temperature. - Nature Climate Change, 13, 434-441.
https://doi.org/10.1038/s41558-023-01636-1

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 Creators:
van der Wijst, Kaj-Ivar1, Author
Bosello, Francesco1, Author
Dasgupta, Shouro1, Author
Drouet, Laurent1, Author
Emmerling, Johannes1, Author
Hof, Andries1, Author
Leimbach, Marian2, Author              
Parrado, Ramiro1, Author
Piontek, Franziska2, Author              
Standardi, Gabriele1, Author
van Vuuren, Detlef1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Economic analyses of global climate change have been criticized for their poor representation of climate change damages. Here we develop and apply aggregate damage functions in three economic Integrated Assessment Models (IAMs) with different degrees of complexity. The damage functions encompass a wide but still incomplete set of climate change impacts based on physical impact models. We show that with medium estimates for damage functions, global damages are in the range of 10% to 12% of GDP by 2100 in a baseline scenario with 3 °C temperature change, and about 2% in a well-below 2 °C scenario. These damages are much higher than previous estimates in benefit-cost studies, resulting in optimal temperatures below 2 °C with central estimates of damages and discount rates. Moreover, we find a benefit-cost ratio of 1.5 to 3.9, even without considering damages that could not be accounted for, such as biodiversity losses, health and tipping points.

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Language(s): eng - English
 Dates: 2022-05-062023-02-172023-03-232023-05
 Publication Status: Finally published
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41558-023-01636-1
MDB-ID: yes - 3420
Organisational keyword: RD3 - Transformation Pathways
PIKDOMAIN: RD3 - Transformation Pathways
Working Group: Macroeconomic modeling of climate change mitigation and impacts
Model / method: Model Intercomparison
Model / method: REMIND
Regional keyword: Global
Research topic keyword: Climate impacts
Research topic keyword: Economics
 Degree: -

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Title: Nature Climate Change
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 13 Sequence Number: - Start / End Page: 434 - 441 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/140414
Publisher: Nature