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Improving Lake Mixing Process Simulations in the Community Land Model by Using K Profile Parameterization

DigitalCommons@USU

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Title Improving Lake Mixing Process Simulations in the Community Land Model by Using K Profile Parameterization
Creator Zhang, Qunhui Jin, Jiming Wang, Xiaochun Budy, Phaedra E. Barrett, Nick Null, Sarah E.
Description 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...
Date 2019-12-05T08:00:00Z
Type text
Format application/pdf
Identifier https://digitalcommons.usu.edu/wats_facpub/1102 info:doi/10.5194/hess-23-4969-2019 https://digitalcommons.usu.edu/context/wats_facpub/article/2122/viewcontent/WATSfacpub2019ZhangJinWang_ImprovingLakeMixing.pdf
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Source Watershed Sciences Faculty Publications
Publisher Hosted by Utah State University Libraries
Contributor Copernicus GmbH
Subject Lake Mixing Scheme Profile Parameterization Vertical Other Life Sciences

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