Application of a Three‐Dimensional Coupled Hydrodynamic‐Ice Model to Assess Spatiotemporal Variations in Ice Cover and Underlying Mechanisms in Lake Nam Co, Tibetan Plateau, 2007–2017

Author:

Wu Yang12,Huang Anning23ORCID,Lu Youyu4ORCID,Fujisaki‐Manome Ayumi5ORCID,Zhang Zhiqi6ORCID,Dai Xianglin7,Wang Yu2

Affiliation:

1. Nanjing Joint Institute for Atmospheric Sciences Nanjing China

2. School of Atmospheric Sciences Nanjing University Nanjing China

3. Qinghai Lake Comprehensive Observation Research Station Chinese Academy of Sciences Gangcha China

4. Fisheries and Oceans Canada Bedford Institute of Oceanography Dartmouth NS Canada

5. Cooperative Institute for Great Lakes Research University of Michigan Ann Arbor MI USA

6. Shanghai Climate Center Shanghai Meteorological Bureau Shanghai China

7. Zhejiang Institute of Meteorological Sciences Zhejiang Meteorological Bureau Hangzhou China

Abstract

AbstractA three‐dimensional lake‐ice coupled model is used to investigate the space‐time variations of ice and underlying mechanisms in Lake Nam Co (LNC), the third largest lake over Tibetan Plateau (TP), during 2007–2017. The model reasonably reproduces the in situ measured ice thickness and water temperature profile, and satellite retrieved ice coverage and lake surface temperature. Seasonally, the lake ice first forms in the eastern basin during early January, expands from east to west during January and February, covers nearly the entire LNC in March, starts melting from west to east in April, and eventually disappears in May. The eastward drift of thin ice throughout the ice‐covered phase and the eastward water heat transport during the ice melting phase are key factors to determine the spatial variation of ice and freeze‐thaw processes. A multiple linear regression analysis confirms that the eastward drift of thin ice can be mostly attributed to the prevailing westerly. During 2007–2017, ice volume, duration, ice‐on and ice‐off dates show significant interannual variations, and they are highly correlated with the surface air temperature (T2m) averaged over January‐March, from the preceding December to May, in December and over March–May, respectively, suggesting the “cumulative effects” of T2m. Seasonal and interannual variations of ice drift are attributed to the combined effects of wind and ice volume variations. Sensitivity analysis further points out the important impacts of ice on the lake temperature and circulation structure in winter and spring, hence the necessity of hydrodynamic‐ice coupled models in large TP lakes.

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

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