Improving lake mixing process simulations in the Community Land Model by using K profile parameterization
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 transfe...
Published in: | Hydrology and Earth System Sciences |
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Copernicus Publications
2019
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fttriple:oai:gotriple.eu:oai:doaj.org/article:268af9164f6f4a77ba5266def5161124 2023-05-15T15:04:38+02:00 Improving lake mixing process simulations in the Community Land Model by using K profile parameterization Q. Zhang J. Jin X. Wang P. Budy N. Barrett S. E. Null 2019-12-01 https://doi.org/10.5194/hess-23-4969-2019 https://www.hydrol-earth-syst-sci.net/23/4969/2019/hess-23-4969-2019.pdf https://doaj.org/article/268af9164f6f4a77ba5266def5161124 en eng Copernicus Publications doi:10.5194/hess-23-4969-2019 1027-5606 1607-7938 https://www.hydrol-earth-syst-sci.net/23/4969/2019/hess-23-4969-2019.pdf https://doaj.org/article/268af9164f6f4a77ba5266def5161124 undefined Hydrology and Earth System Sciences, Vol 23, Pp 4969-4982 (2019) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2019 fttriple https://doi.org/10.5194/hess-23-4969-2019 2023-01-22T17:49:34Z 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. Article in Journal/Newspaper Arctic Alaska Unknown Arctic Hydrology and Earth System Sciences 23 12 4969 4982 |
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English |
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geo envir Q. Zhang J. Jin X. Wang P. Budy N. Barrett S. E. Null Improving lake mixing process simulations in the Community Land Model by using K profile parameterization |
topic_facet |
geo envir |
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 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. |
format |
Article in Journal/Newspaper |
author |
Q. Zhang J. Jin X. Wang P. Budy N. Barrett S. E. Null |
author_facet |
Q. Zhang J. Jin X. Wang P. Budy N. Barrett S. E. Null |
author_sort |
Q. Zhang |
title |
Improving lake mixing process simulations in the Community Land Model by using K profile parameterization |
title_short |
Improving lake mixing process simulations in the Community Land Model by using K profile parameterization |
title_full |
Improving lake mixing process simulations in the Community Land Model by using K profile parameterization |
title_fullStr |
Improving lake mixing process simulations in the Community Land Model by using K profile parameterization |
title_full_unstemmed |
Improving lake mixing process simulations in the Community Land Model by using K profile parameterization |
title_sort |
improving lake mixing process simulations in the community land model by using k profile parameterization |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/hess-23-4969-2019 https://www.hydrol-earth-syst-sci.net/23/4969/2019/hess-23-4969-2019.pdf https://doaj.org/article/268af9164f6f4a77ba5266def5161124 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Alaska |
genre_facet |
Arctic Alaska |
op_source |
Hydrology and Earth System Sciences, Vol 23, Pp 4969-4982 (2019) |
op_relation |
doi:10.5194/hess-23-4969-2019 1027-5606 1607-7938 https://www.hydrol-earth-syst-sci.net/23/4969/2019/hess-23-4969-2019.pdf https://doaj.org/article/268af9164f6f4a77ba5266def5161124 |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/hess-23-4969-2019 |
container_title |
Hydrology and Earth System Sciences |
container_volume |
23 |
container_issue |
12 |
container_start_page |
4969 |
op_container_end_page |
4982 |
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1766336364064800768 |