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Using dry and wet year hydroclimatic extremes to guide future hydrologic projections
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.ORCID iD: 0000-0002-3344-2468
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2016 (English)In: Hydrology and Earth System Sciences, ISSN 1027-5606, E-ISSN 1607-7938, Vol. 20, no 7, 2811-2825 p.Article in journal (Refereed) Published
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Abstract [en]

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.

Place, publisher, year, edition, pages
2016. Vol. 20, no 7, 2811-2825 p.
National Category
Oceanography, Hydrology, Water Resources
Research subject
Hydrology
Identifiers
URN: urn:nbn:se:uu:diva-299642DOI: 10.5194/hess-20-2811-2016ISI: 000381101700001OAI: oai:DiVA.org:uu-299642DiVA: diva2:949884
Projects
ForWaterFuture Forest
Funder
Swedish Research Council, 2010-7240Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning, ForWaterMistra - The Swedish Foundation for Strategic Environmental Research, Future ForestEU, European Research Council, 505539
Available from: 2016-07-25 Created: 2016-07-25 Last updated: 2017-11-28Bibliographically approved

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Citation style
  • apa
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