Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 23, issue 12
Articles | Volume 23, issue 12
https://doi.org/10.5194/hess-23-4969-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-23-4969-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 12
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

Viewed

Total article views: 3,876 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,723 1,055 98 3,876 102 136
  • HTML: 2,723
  • PDF: 1,055
  • XML: 98
  • Total: 3,876
  • BibTeX: 102
  • EndNote: 136
Views and downloads (calculated since 04 Jul 2019)
Cumulative views and downloads (calculated since 04 Jul 2019)

Viewed (geographical distribution)

Total article views: 3,876 (including HTML, PDF, and XML) Thereof 3,425 with geography defined and 451 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
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.
Read more
Share
Special issue
Modelling lakes in the climate system (GMD/HESS inter-journal...