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Assessing the robustness of adaptation decisions to climate change uncertainties: A case study on water resources management in the East of England

โœ Scribed by Suraje Dessai; Mike Hulme


Book ID
116512628
Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
261 KB
Volume
17
Category
Article
ISSN
0959-3780

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โœฆ Synopsis


Projections of future climate change are plagued with uncertainties, causing difficulties for planners taking decisions on adaptation measures. This paper presents an assessment framework that allows the identification of adaptation strategies that are robust (i.e. insensitive) to climate change uncertainties. The framework is applied to a case study of water resources management in the East of England, more specifically to the Anglian Water Servicesโ€™ 25 year Water Resource Plan (WRP). The paper presents a local sensitivity analysis (a โ€˜one-at-a-timeโ€™ experiment) of the various elements of the modelling framework (e.g., emissions of greenhouse gases, climate sensitivity and global climate models) in order to determine whether or not a decision to adapt to climate change is sensitive to uncertainty in those elements.
Water resources are found to be sensitive to uncertainties in regional climate response (from general circulation models and dynamical downscaling), in climate sensitivity and in climate impacts. Aerosol forcing and greenhouse gas emissions uncertainties are also important, whereas uncertainties from ocean mixing and the carbon cycle are not. Despite these large uncertainties, Anglian Water Servicesโ€™ WRP remains robust to the climate change uncertainties sampled because of the adaptation options being considered (e.g. extension of water treatment works), because the climate model used for their planning (HadCM3) predicts drier conditions than other models, and because โ€˜one-at-a-timeโ€™ experiments do not sample the combination of different extremes in the uncertainty range of parameters. This research raises the question of how much certainty is required in climate change projections to justify investment in adaptation measures, and whether such certainty can be delivered.


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