Challenges in using probabilistic climate change information for impact assessments: an example from the water sector

Area of Science:

• Environmental Science
• Climate Change Adaptation
• Risk Assessment

Background:

• Traditional climate change impact and adaptation assessments rely on scenario-based approaches.
• Scenario-based methods limit the evaluation of relative risks for specific adaptation options.
• Probabilistic impact assessments offer a framework for risk-based analysis, particularly when uncertainty is thoroughly analyzed.

Purpose of the Study:

• To explore the implications of a probabilistic, end-to-end risk-based framework for climate impacts assessment.
• To demonstrate the utility of this framework using water resources in the Thames River, UK, as a case study.

Main Methods:

• Development and application of a probabilistic end-to-end risk-based framework.
• Analysis of uncertainty within an impact forecast system.
• Case study focusing on water resources in the Thames River, UK.

Main Results:

• A probabilistic approach yields more informative results for climate impacts assessment.
• This framework enables the quantification of potential risks associated with climate change impacts.
• The specific details of quantified risks are contingent upon the analytical approach employed.

Conclusions:

• Probabilistic risk-based frameworks provide a superior method for assessing climate change adaptation options.
• This approach enhances the understanding and quantification of climate-related risks.
• Future research should consider the nuances of different analytical approaches within probabilistic frameworks.