Plateau Meteorology

Plateau Meteorology >

2018 , Vol. 37 >Issue 2: 394 - 405

DOI: https://doi.org/10.7522/j.issn.1000-0534.2017.00069

Simulation of the Response of Qinghai Lake Thermal Conditions to Climate Change

  • SU Dongsheng ,
  • HU Xiuqing ,
  • WEN Lijuan ,
  • ZHAO Lin ,
  • LI Zhaoguo
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  • Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Region, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, Gansu, China;University of Chinese Academy of Science, Beijing 100049, China;National Satellite Meteorological Centre, Beijing 100081, China

Received date: 2017-07-04

  Online published: 2018-04-28

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Abstract

Lake is a very sensitive indicator to climate change. There are thousands of lakes on Qinghai-Tibetan Plateau, about 1 200 of them have an area larger than 1 km2, but few observation data of lakes are available, which makes the thermal condition of plateau lakes under the background of climate warming far from well understood, at the same time, most of the studies on plateau lakes focused on short-term research. In this study, the China Meteorological Forcing Dataset developed by Institute of Tibetan Plateau Research, Chinese Academy of Sciences (ITPCAS), MODIS LST data and buoy observation data were used to analysis the applicability of Freshwater Lake Model (Flake) at Qinghai Lake and reveal the response of thermal condition of Qinghai Lake to climate change. The results show that Flake have good abilities to capture the thermal characteristics of Qinghai Lake and have a good simulation to the seasonal variations of the lake surface temperature. But some positive deviation was found in summer and autumn (especially in nighttime), part of the deviation was caused by the bias of forcing data, after a simple correction to temperature and wind speed of the forcing data, the deviation of the simulation result was partly reduced. The comparison and analysis of interannual variation trend and correlation between lake surface temperature simulated by Flake and meteorological factors of ITPCAS forcing data from 19892012 found there is a warming trend in lake surface temperature, which have a positive correlation with air temperature and downward longwave radiation, and a negative correlation with wind speed, indicating that the air temperature warming plays a key role in lake surface temperature increase. The simulation of inner lake thermal condition revealed that the mixed-layer temperature of Qinghai Lake presents an increase trend almost all the year round, which is most obviously in May and June. For the bottom of the lake, the increase trend only happens in May and December, it is also the seasonal overturn period of the lake, and a decrease trend happens from June to October when the lake is in stratification period. This pattern may caused by the increase of stratified stability due to the temperature increase of the up-layer water in stratification period.

Key words： Qinghai-Tibetan Plat; Flake model; Qinghai Lake; numerical simulation; climate change

Cite this article

SU Dongsheng , HU Xiuqing , WEN Lijuan , ZHAO Lin , LI Zhaoguo . Simulation of the Response of Qinghai Lake Thermal Conditions to Climate Change[J]. Plateau Meteorology, 2018 , 37(2) : 394 -405 . DOI: 10.7522/j.issn.1000-0534.2017.00069

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