DOI: 10.5194/hess-22-3739-2018
论文题名: Transferability of climate simulation uncertainty to hydrological impacts
作者: Wang H.-M. ; Chen J. ; Cannon A.J. ; Xu C.-Y. ; Chen H.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期: 7 起始页码: 3739
结束页码: 3759
语种: 英语
Scopus关键词: Climate change
; Set theory
; Watersheds
; Climate change impact
; Climate model simulations
; Hydrological impacts
; Hydrological modeling
; Hydrological variables
; K - means clustering
; Temperature variables
; Total uncertainties
; Climate models
; climate change
; climate effect
; climate modeling
; ensemble forecasting
; hydrological modeling
; hydrological response
; precipitation (climatology)
; rainfall
; simulation
; temperature
; uncertainty analysis
; watershed
英文摘要: Considering rapid increases in the number of climate model simulations being produced by modelling centres, it is often infeasible to use all of them in climate change impact studies. In order to thoughtfully select subsets of climate simulations from a large ensemble, several envelope-based methods have been proposed. The subsets are expected to cover a similar uncertainty envelope to the full ensemble in terms of climate variables. However, it is not a given that the uncertainty in hydrological impacts will be similarly well represented. Therefore, this study investigates the transferability of climate uncertainty related to the choice of climate simulations to hydrological impacts. Two envelope-based selection methods, K means clustering and the Katsavounidis-Kuo-Zhang (KKZ) method, are used to select subsets from an ensemble of 50 climate simulations over two watersheds with very different climates using 31 precipitation and temperature variables. Transferability is evaluated by comparing uncertainty coverage between climate variables and 17 hydrological variables simulated by a hydrological model. The importance of choosing climate variables properly when selecting subsets is investigated by including and excluding temperature variables. Results show that KKZ performs better than K means at selecting subsets of climate simulations for hydrological impacts, and the uncertainty coverage of climate variables is similar to that of hydrological variables. The subset of the first 10 simulations covers over 85 % of total uncertainty. As expected, temperature variables are important for the snow-related watershed, but less important for the rainfall-driven watershed. Overall, envelope-based selection of around 10 climate simulations, based on climate variables that characterize the physical processes controlling the hydrology of the watershed, is recommended for hydrological impact studies. © Author(s) 2018. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163259
Appears in Collections: 气候变化与战略
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作者单位: Wang, H.-M., State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China; Chen, J., State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China; Cannon, A.J., Climate Research Division, Environment and Climate Change Canada, Victoria, BC, Canada; Xu, C.-Y., State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China, Department of Geosciences, University of Oslo, Oslo, Norway; Chen, H., State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China
Recommended Citation:
Wang H.-M.,Chen J.,Cannon A.J.,et al. Transferability of climate simulation uncertainty to hydrological impacts[J]. Hydrology and Earth System Sciences,2018-01-01,22(7)