Oni, Stephen
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences
Research article2016Peer reviewedOpen access
Oni, Stephen; Futter, Martyn; Ledesma, Jose; Teutschbein, Claudia; Buttle, Jim; Laudon, Hjalmar
There are growing numbers of studies on climate change impacts on forest hydrology, but limited attempts have been made to use current hydroclimatic variabilities to constrain projections of future climatic conditions. Here we used historical wet and dry years as a proxy for expected future extreme conditions in a boreal catchment. We showed that runoff could be underestimated by at least 35% when dry year parameterizations were used for wet year conditions. Uncertainty analysis showed that behavioural parameter sets from wet and dry years separated mainly on precipitation-related parameters and to a lesser extent on parameters related to landscape processes, while uncertainties inherent in climate models (as opposed to differences in calibration or performance metrics) appeared to drive the overall uncertainty in runoff projections under dry and wet hydroclimatic conditions. Hydrologic model calibration for climate impact studies could be based on years that closely approximate anticipated conditions to better constrain uncertainty in projecting extreme conditions in boreal and temperate regions.
Hydrology and Earth System Sciences
2016, Volume: 20, number: 7, pages: 2811-2825
SLU Future Forests
SDG13 Take urgent action to combat climate change and its impacts
Geosciences, Multidisciplinary
Environmental Sciences
Climate Research
DOI: https://doi.org/10.5194/hess-20-2811-2016
https://res.slu.se/id/publ/77026