globalchange  > 气候变化与战略
DOI: 10.5194/hess-23-4969-2019
论文题名:
Improving lake mixing process simulations in the Community Land Model by using K profile parameterization
作者: Zhang Q.; Jin J.; Wang X.; Budy P.; Barrett N.; Null S.E.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期:12
起始页码: 4969
结束页码: 4982
语种: 英语
Scopus关键词: Boundary layers ; Ecosystems ; Heat transfer ; Mixing ; Shear flow ; Community land models ; Ecosystem services ; Eddy Diffusivities ; Internal wave activity ; K-profile parameterization ; National center for atmospheric researches ; Process prediction ; Vertical temperature profile ; Lakes ; boundary layer ; diffusivity ; heat transfer ; internal wave ; lake water ; parameterization ; shear stress ; vertical mixing ; water column ; water temperature ; China ; Qinghai-Xizang Plateau
英文摘要: We improved lake mixing process simulations by applying a vertical mixing scheme, K profile parameterization (KPP), in the Community Land Model (CLM) version 4.5, developed by the National Center for Atmospheric Research. Vertical mixing of the lake water column can significantly affect heat transfer and vertical temperature profiles. However, the current vertical mixing scheme in CLM requires an arbitrarily enlarged eddy diffusivity to enhance water mixing. The coupled CLM-KPP considers a boundary layer for eddy development, and in the lake interior water mixing is associated with internal wave activity and shear instability. We chose a lake in Arctic Alaska and a lake on the Tibetan Plateau to evaluate this improved lake model. Results demonstrated that CLM-KPP reproduced the observed lake mixing and significantly improved lake temperature simulations when compared to the original CLM. Our newly improved model better represents the transition between stratification and turnover. This improved lake model has great potential for reliable physical lake process predictions and better ecosystem services. © 2019 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162840
Appears in Collections:气候变化与战略

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作者单位: Zhang, Q., College of Water Resources and Architectural Engineering, Northwest A and F University, Yangling, Shaanxi, 712100, China; Jin, J., College of Water Resources and Architectural Engineering, Northwest A and F University, Yangling, Shaanxi, 712100, China, Department of Watershed Sciences, Utah State University, Logan, UT 84322, United States; Wang, X., JIFRESSE, University of California, Los Angeles, 90095, United States; Budy, P., Department of Watershed Sciences, Utah State University, Logan, UT 84322, United States, US Geological Survey, Utah Cooperative Fish and Wildlife Research Unit, Logan, UT 84322, United States; Barrett, N., Department of Watershed Sciences, Utah State University, Logan, UT 84322, United States; Null, S.E., Department of Watershed Sciences, Utah State University, Logan, UT 84322, United States

Recommended Citation:
Zhang Q.,Jin J.,Wang X.,et al. Improving lake mixing process simulations in the Community Land Model by using K profile parameterization[J]. Hydrology and Earth System Sciences,2019-01-01,23(12)
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