Uncertainty assessment of climate change impacts on the hydrology of small prairie wetlands

JOURNAL OF HYDROLOGY

卷:396

Article

Zhang, Hua¹  Huang, Guo H.¹  Wang, Dunling²  Zhang, Xiaodong¹ 

[1] Univ Regina, Fac Engn & Appl Sci, Regina, SK S4S 0A2, Canada

[2] CNR, Inst Res Construct, Ctr Sustainable Infrastruct Res, Regina, SK S45 7J7, Canada

关键词: Climate change;    Prairie hydrology;    Downscaling;    Weather generator;    Uncertainty;   

DOI  :  10.1016/j.jhydrol.2010.10.037

来源: Elsevier

【 摘 要 】

With increasing evidences of climate change in the prairie region, there is an urgent need to understand the future climate and the responses of small prairie wetlands. This study integrated two regional climate models (RCMs), two weather generators and a distributed hydrological model to examine uncertainties in hydrological responses to climate change in the Assiniboia watershed, Canada. Comparing to baseline conditions (1971-2000), annual water yield and evapotranspiration in the period of 2041-2070 were generally unchanged, while annual reservoir storage was generally reduced. However, projected hydrological regimes were less consistent at monthly level, particularly for March and July. Such uncertainties in simulated hydrological responses were derived from the implementations of different integrated downscaling methods, reflecting our imperfect knowledge of the future climate. We identified a warming temperature trend from climatic projections, but had less confidence in the future pattern of precipitation. Uncertainties in integrated downscaling were primarily derived from the choice of RCM, and were amplified through the incorporation of different weather generators. Results of any climate change study based on only one RCM and/or one weather generator should be interpreted with caution, and the ensemble framework should be advised to generate a comprehensive vision of the future climate. This study demonstrated that the incorporation of precipitation occurrence change contributed to a full translation of RCM outputs, but also introduced additional uncertainty. A balance is thus desired between the information loss and the additional uncertainty in order to effectively utilize RCM outputs. (C) 2010 Elsevier B.V. All rights reserved.

【 授权许可】

Free