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Bounding probabilistic sea-level projections within the framework of the possibility theory

Abstract : Despite progresses in climate change science, projections of future sea-level rise remain highly uncertain, especially due to large unknowns in the melting processes affecting the ice-sheets in Greenland and Antarctica. Based on climate-models outcomes and the expertise of scientists concerned with these issues, the IPCC provided constraints to the quantiles of sea-level projections. Moreover, additional physical limits to future sea-level rise have been established, although approximately. However, many probability functions can comply with this imprecise knowledge. In this contribution, we provide a framework based on extra-probabilistic theories (namely the possibility theory) to model the uncertainties in sea-level rise projections by 2100 under the RCP 8.5 scenario. The results provide a concise representation of uncertainties in future sea-level rise and of their intrinsically imprecise nature, including a maximum bound of the total uncertainty. Today, coastal impact studies are increasingly moving away from deterministic sea-level projections, which underestimate the expectancy of damages and adaptation needs compared to probabilistic laws. However, we show that the probability functions used so-far have only explored a rather conservative subset of sea-level projections compliant with the IPCC. As a consequence, coastal impact studies relying on these probabilistic sea-level projections are expected to underestimate the possibility of large damages and adaptation needs.
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Contributeur : Gonéri Le Cozannet Connectez-vous pour contacter le contributeur
Soumis le : jeudi 19 janvier 2017 - 13:18:44
Dernière modification le : lundi 25 juillet 2022 - 03:49:24
Archivage à long terme le : : jeudi 20 avril 2017 - 13:23:25


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Gonéri Le Cozannet, Jean-Charles Manceau, Jeremy Rohmer. Bounding probabilistic sea-level projections within the framework of the possibility theory. Environmental Research Letters, IOP Publishing, 2017, 12 (1), pp.014012. ⟨10.1088/1748-9326/aa5528⟩. ⟨hal-01440548⟩



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