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Representation of adaptation in quantitative climate assessments

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Adaptation is a key societal response to reduce the impacts of climate change, yet it is poorly represented in current modelling frameworks. We identify key research gaps and suggest entry points for adaptation in quantitative assessments of climate change to enhance policy guidance.

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Acknowledgements

We acknowledge support from the European Union’s Horizon 2020 research and innovation programme NAVIGATE under grant agreement no. 821124. N.v.M. acknowledges funding from the German Federal Ministry of Education and Research (grant agreement no. 01LN1711A). F.P. acknowledges funding through the CHIPS project, part of AXIS, an ERA-NET initiated by JPI Climate, funded by FORMAS (Sweden), DLR/BMBF (Germany, grant agreement no. 01LS1904A), AEI (Spain) and ANR (France), with co-funding by the European Union (grant agreement no. 776608).

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Authors and Affiliations

  1. Climate Analytics, Berlin, Germany

    Nicole van Maanen & Tabea Lissner

  2. Geography Department and IRI THESys, Humboldt University, Berlin, Germany

    Nicole van Maanen

  3. Netherlands Environmental Assessment Agency (PBL), the Hague, the Netherlands

    Mathijs Harmsen & Detlef P. van Vuuren

  4. Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, the Netherlands

    Mathijs Harmsen & Detlef P. van Vuuren

  5. Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany

    Franziska Piontek

  6. International Institute for Applied Systems Analysis, Laxenburg, Austria

    Marina Andrijevic

Authors
  1. Nicole van Maanen
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  2. Tabea Lissner
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  3. Mathijs Harmsen
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  4. Franziska Piontek
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  5. Marina Andrijevic
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  6. Detlef P. van Vuuren
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Correspondence to Nicole van Maanen.

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van Maanen, N., Lissner, T., Harmsen, M. et al. Representation of adaptation in quantitative climate assessments. Nat. Clim. Chang. 13, 309–311 (2023). https://doi.org/10.1038/s41558-023-01644-1

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  • DOI: https://doi.org/10.1038/s41558-023-01644-1

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