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Building narratives to characterise uncertainty in regional climate change through expert elicitation

Dessai, Suraje, Bhave, Ajay Gajanan, Birch, Cathryn, Conway, Declan, Garcia-Carreras, Luis, Gosling, John Paul, Mittal, Neha and Stainforth, David A. (2018) Building narratives to characterise uncertainty in regional climate change through expert elicitation. Environmental Research Letters, 13 (7). 074005. ISSN 1748-9326

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Identification Number: 10.1088/1748-9326/aabcdd

Abstract

Knowledge about regional and local climate change can inform climate risk assessments and adaptation decisions. However, estimates of future precipitation change at the regional and local level are deeply uncertain for many parts of the world. A novel methodology was developed that uses climate processes and expert elicitation to build narratives of future regional precipitation change. The narratives qualitatively describe physically plausible evolutions of future regional climate substantiated by climate processes. This method is applied to the Indian Summer Monsoon, focusing on the Cauvery River Basin in Karnataka, Southern India. Six climate narratives are constructed as a function of two drivers prioritised by the experts: moisture availability over the Arabian Sea and strength of the low-level westerly flow. The narratives describe how future precipitation could change until the 2050s and which climate processes and anthropogenic factors could influence this evolution. Analysis using observed (Global Precipitation Climatology Centre) and re-analysis (ERA20 and Interim) data shows the experts' judgement on key drivers fits well with empirical relationships. The expert elicited drivers explain 70% of the variance in peak monsoon precipitation (July and August) over the Western Ghats between 1979−2013 (using ERA Interim). The study shows that through expert elicitation, process-based narratives enable climate scientists to characterise and communicate elements of deep uncertainty in future precipitation change. Expert judgment techniques need be more widely applied to characterise uncertainty in regional and local climate change.

Item Type: Article
Official URL: http://iopscience.iop.org/journal/1748-9326
Additional Information: © 2018 the Author(s)
Divisions: Grantham Research Institute
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Sets: Research centres and groups > Grantham Research Institute on Climate Change and the Environment
Date Deposited: 23 Aug 2018 13:53
Last Modified: 20 Nov 2019 05:44
Projects: ES/K006576/1
Funders: ESRC Centre for Climate Change Economics and Policy, Leeds Social Sciences Institute
URI: http://eprints.lse.ac.uk/id/eprint/90091

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