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Event attribution is ready to inform loss and damage negotiations

Nature Climate Change volume 13, pages 1279–1281 (2023)Cite this article

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Extreme weather event attribution techniques quantify anthropogenic contributions to extreme weather disasters, but recently it was argued they are not yet ready to inform decisions on loss and damage funding. Here, we assert that they can substantially help formulate allocations to impacted vulnerable countries for the most damaging extreme events.

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Fig. 1: EEA within the loss and damage process.

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Acknowledgements

I.N., D.S., S.R., D.F. and R.N. were supported by the New Zealand Ministry of Business, Innovation and Employment through the Whakahura Endeavour project. M.W. was supported by the Director, Office of Science, Office of Biological and Environmental Research of the US Department of Energy under contract no. DE340AC02-05CH11231 as part of the Regional and Global Model Analysis program.

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Authors and Affiliations

  1. School of Economics and Finance, Victoria University of Wellington, Wellington, New Zealand

    Ilan Noy

  2. Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Michael Wehner

  3. National Institute of Water and Atmospheric Research, Wellington, New Zealand

    Dáithí Stone & Suzanne Rosier

  4. School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand

    Dave Frame

  5. African Climate and Development Initiative, University of Cape Town, Cape Town, South Africa

    Kamoru Abiodun Lawal

  6. African Centre of Meteorological Applications for Development, Niamey, Niger

    Kamoru Abiodun Lawal

  7. Reserve Bank of New Zealand, Wellington, New Zealand

    Rebecca Newman

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  1. Ilan Noy
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  2. Michael Wehner
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  3. Dáithí Stone
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  4. Suzanne Rosier
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  5. Dave Frame
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  6. Kamoru Abiodun Lawal
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  7. Rebecca Newman
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Correspondence to Ilan Noy.

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Noy, I., Wehner, M., Stone, D. et al. Event attribution is ready to inform loss and damage negotiations. Nat. Clim. Chang. 13, 1279–1281 (2023). https://doi.org/10.1038/s41558-023-01865-4

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