Summary
This review paper synthesises current understanding of uncertainty in hydrological climate impact studies, as suggested by the literature circa 2016. The authors examine multiple sources of uncertainty—including climate model variability, bias-correction and downscaling choices, and hydrological model parameterisation—and their relative contributions to total projection uncertainty. The paper provides a framework for characterising and communicating these uncertainties to water resource planners and policymakers.
UK applicability
UK hydrological and water resource management faces similar uncertainty challenges in climate projections. The uncertainty characterisation framework presented may inform UK climate adaptation studies for water supply and flood risk assessment, though direct applicability depends on whether UK-specific case studies were included in the review.
Key measures
Uncertainty decomposition in streamflow projections; sensitivity to climate model selection, downscaling approach, and hydrological model structure
Outcomes reported
The study characterises sources and magnitudes of uncertainty in projecting hydrological responses to climate change, examining how uncertainty cascades through climate models, downscaling methods, and hydrological models.
Topic tags
Dig deeper with Pulse AI.
Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.