DOI: 10.1002/2015MS000471
Scopus记录号: 2-s2.0-84959555743
论文题名: Modeling stream temperature in the Anthropocene: An earth system modeling approach
作者: Li H ; -Y ; , Ruby Leung L ; , Tesfa T ; , Voisin N ; , Hejazi M ; , Liu L ; , Liu Y ; , Rice J ; , Wu H ; , Yang X
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 7, 期: 4 起始页码: 1661
结束页码: 1679
语种: 英语
英文关键词: Aquatic ecosystems
; Reservoir management
; Reservoirs (water)
; Water management
; Earth system model
; Meteorological forcing
; Reservoir operation
; Spatio-temporal variation
; Spatiotemporal patterns
; Stream temperature models
; Stream temperatures
; Water management model
; Rivers
; Anthropocene
; aquatic ecosystem
; atmospheric forcing
; climate modeling
; flow regulation
; hydrological modeling
; stream
; streamflow
; water management
; water temperature
; United States
英文摘要: A new large-scale stream temperature model has been developed within the Community Earth System Model (CESM) framework. The model is coupled with the Model for Scale Adaptive River Transport (MOSART) that represents river routing and a water management model (WM) that represents the effects of reservoir operations and water withdrawals on flow regulation. The coupled models allow the impacts of reservoir operations and withdrawals on stream temperature to be explicitly represented in a physically based and consistent way. The models have been applied to the Contiguous United States driven by observed meteorological forcing. Including water management in the models improves the agreement between the simulated and observed streamflow at a large number of stream gauge stations. It is then shown that the model is capable of reproducing stream temperature spatiotemporal variation satisfactorily by comparing against the observed data from over 320 USGS stations. Both climate and water management are found to have important influence on the spatiotemporal patterns of stream temperature. Furthermore, it is quantitatively estimated that reservoir operation could cool down stream temperature in the summer low-flow season (August-October) by as much as 1a14 2C due to enhanced low-flow conditions, which have important implications to aquatic ecosystems. Sensitivity of the simulated stream temperature to input data and reservoir operation rules used in the WM model motivates future directions to address some limitations in the current modeling framework. © 2015. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75968
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Pacific Northwest National Laboratory, Richland, Washington, United States; Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, United States; NASA Goddard Space Flight Center, Greenbelt, Maryland, United States
Recommended Citation:
Li H,-Y,, Ruby Leung L,et al. Modeling stream temperature in the Anthropocene: An earth system modeling approach[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,7(4)