气候变化领域集成服务门户(CCPortal): Improving lake mixing process simulations in the Community Land Model by using K profile parameterization

CCPortal

DOI	10.5194/hess-23-4969-2019
	Improving lake mixing process simulations in the Community Land Model by using K profile parameterization
	Zhang Q.; Jin J.; Wang X.; Budy P.; Barrett N.; Null S.E.
发表日期	2019
ISSN	1027-5606
起始页码	4969
结束页码	4982
卷号	23 期号:12
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).
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
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159550
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
推荐引用方式 GB/T 7714	Zhang Q.,Jin J.,Wang X.,et al. Improving lake mixing process simulations in the Community Land Model by using K profile parameterization[J],2019,23(12).
APA	Zhang Q.,Jin J.,Wang X.,Budy P.,Barrett N.,&Null S.E..(2019).Improving lake mixing process simulations in the Community Land Model by using K profile parameterization.Hydrology and Earth System Sciences,23(12).
MLA	Zhang Q.,et al."Improving lake mixing process simulations in the Community Land Model by using K profile parameterization".Hydrology and Earth System Sciences 23.12(2019).