Chinese Journal of Oceanology and Limnology

, Volume 33, Issue 3, pp 790–801

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

  • Lijuan Wen (文莉娟)
  • Nidhi Nagabhatla
  • Lin Zhao (赵林)
  • Zhaoguo Li (李照国)
  • Shiqiang Chen (陈世强)
Physics

DOI: 10.1007/s00343-015-4153-3

Cite this article as:
Wen, L., Nagabhatla, N., Zhao, L. et al. Chin. J. Ocean. Limnol. (2015) 33: 790. doi:10.1007/s00343-015-4153-3

Abstract

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.

Keyword

temperature simulation salinity parameterizations WRF-CLM Great Salt Lake 

Copyright information

© Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Lijuan Wen (文莉娟)
    • 1
    • 2
    • 4
  • Nidhi Nagabhatla
    • 3
    • 4
  • Lin Zhao (赵林)
    • 1
  • Zhaoguo Li (李照国)
    • 1
  • Shiqiang Chen (陈世强)
    • 1
  1. 1.Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold and Arid Regions Environmental and Engineering Research InstituteChinese Academy of SciencesLanzhouChina
  2. 2.Laboratory of Arid Climatic Changing and Reducing Disaster of Gansu Province, Cold and Arid Regions Environmental and Engineering Research InstituteChinese Academy of SciencesLanzhouChina
  3. 3.Institut für Umweltplanung (IUP)Gottfried Wilhelm Leibniz UniversitätHannoverGermany
  4. 4.Asia-Pacific Economic Cooperation (APEC) Climate CenterBusanRepublic of Korea

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