Articles | Volume 23, issue 12
https://doi.org/10.5194/hess-23-4969-2019
https://doi.org/10.5194/hess-23-4969-2019
Research article
 | 
05 Dec 2019
Research article |  | 05 Dec 2019

Improving lake mixing process simulations in the Community Land Model by using K profile parameterization

Qunhui Zhang, Jiming Jin, Xiaochun Wang, Phaedra Budy, Nick Barrett, and Sarah E. Null

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Manuscript not accepted for further review

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Cited articles

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Short summary
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. 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. The improved lake model provides an important tool for lake hydrology and ecosystem studies.