Impacts of salinity parameterizations on temperature simulation over and in a hypersaline lake

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Wen, L.; Nagabhatla, N.; Zhao, L.; Li, Z.; Chen, S.: Impacts of salinity parameterizations on temperature simulation over and in a hypersaline lake. In: Chinese Journal of Oceanology and Limnology 33 (2015), Nr. 3, S. 790-801. DOI: https://doi.org/10.1007/s00343-015-4153-3

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In this paper, we introduced parameterizations of the salinity effects (on heat capacity, thermal conductivity, freezing point and saturated vapor pressure) in a lake scheme integrated in the Weather Research and Forecasting model coupled with the Community Land Model (WRF-CLM). This was done to improve temperature simulation over and in a saline lake and to test the contributions of salinity effects on various water properties via sensitivity experiments. The modified lake scheme consists of the lake module in the CLM model, which is the land component of the WRF-CLM model. The Great Salt Lake (GSL) in the USA was selected as the study area. The simulation was performed from September 3, 2001 to September 30, 2002. Our results show that the modified WRF-CLM model that includes the lake scheme considering salinity effects can reasonably simulate temperature over and in the GSL. This model had much greater accuracy than neglecting salinity effects, particularly in a very cold event when that effect alters the freezing point. The salinity effect on saturated vapor pressure can reduce latent heat flux over the lake and make it slightly warmer. The salinity effect on heat capacity can also make lake temperature prone to changes. However, the salinity effect on thermal conductivity was found insignificant in our simulations. © 2015, Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag Berlin Heidelberg.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Document Type: article
Publishing status: publishedVersion
Issue Date: 2015
Appears in Collections:Fakultät für Architektur und Landschaft

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pos. country downloads
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1 image of flag of Germany Germany 25 46.30%
2 image of flag of Netherlands Netherlands 17 31.48%
3 image of flag of United States United States 4 7.41%
4 image of flag of United Kingdom United Kingdom 2 3.70%
5 image of flag of No geo information available No geo information available 1 1.85%
6 image of flag of Ecuador Ecuador 1 1.85%
7 image of flag of Algeria Algeria 1 1.85%
8 image of flag of Czech Republic Czech Republic 1 1.85%
9 image of flag of China China 1 1.85%
10 image of flag of Australia Australia 1 1.85%

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