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

• Main Authors: Zhang, Qunhui, Jin, Jiming, Wang, Xiaochun, Budy, Phaedra E., Barrett, Nick, Null, Sarah E.
• Other Authors: Copernicus GmbH
• Format: Text
• Language: unknown
• Published: Hosted by Utah State University Libraries 2019
• Subjects: Lake; Mixing Scheme; Profile Parameterization; Vertical; Other Life Sciences; Arctic; Alaska
• Online Access: https://digitalcommons.usu.edu/wats_facpub/1102; https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=2122&context=wats_facpub

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.