Investigation of the ice surface albedo in the Tibetan Plateau lakes based on the field observation and MODIS products

Li, Zhaoguo; Ao, Yu‐Fei; Lyu, Shihua; Lang, Jiahe; Wen, Li; Stepanenko, Victor; Meng, Xianhong; Zhao, Lin

doi:10.1017/jog.2018.35

Cited by 24 publications

(29 citation statements)

References 48 publications

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“…The TP is also one of the most sensitive regions to climate change: the surface air temperature increase over the TP due to global warming is stronger than in other regions (Guo and Wang, 2012;Duan and Xiao, 2015). Apart from warming, an increase in air humidity and precipitation and a decrease in shortwave radiation and wind speeds were reported for the central TP since the beginning of the 1980s (Liao et al, 2013;. Thousands of lakes are scattered across the TP, accounting for 39.2 % of the entire number and for 51.4 % of the entire area of Chinese lakes (Ma et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Lakes are inherit components of the hydrological system of the TP, named "the world water tower" (Xu et al, 2008), contributing essentially to the water cycle between atmosphere, glaciers and the major Asian rivers. Due to the significant increase in precipitation and melting of glaciers caused by climate change, the total area of lakes on the TP has tended to expand significantly since the late 1990s (Liao et al, 2013;Lei et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Numerical study on the response of the largest lake in China to climate change

Wen

et al. 2019

Hydrol. Earth Syst. Sci.

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Abstract. Lakes are sensitive indicators of climate change. There are thousands of lakes on the Tibetan Plateau (TP), and more than 1200 of them have an area larger than 1 km2; they respond quickly to climate change, but few observation data of lakes are available. Therefore, the thermal condition of the plateau lakes under the background of climate warming remains poorly understood. In this study, the China regional surface meteorological feature dataset developed by the Institute of Tibetan Plateau Research, Chinese Academy of Sciences (ITPCAS), MODIS lake surface temperature (LST) data and buoy observation data were used to evaluate the performance of lake model FLake, extended by simple parameterizations of the salinity effect, for brackish lake and to reveal the response of thermal conditions, radiation and heat balance of Qinghai Lake to the recent climate change. The results demonstrated that the FLake has good ability in capturing the seasonal variations in the lake surface temperature and the internal thermal structure of Qinghai Lake. The simulated lake surface temperature showed an increasing trend from 1979 to 2012, positively correlated with the air temperature and the downward longwave radiation while negatively correlated with the wind speed and downward shortwave radiation. The simulated internal thermodynamic structure revealed that Qinghai Lake is a dimictic lake with two overturn periods occurring in late spring and late autumn. The surface and mean water temperatures of the lake significantly increased from 1979 to 2012, while the bottom temperatures showed no significant trend, even decreasing slightly from 1989 to 2012. The warming was the strongest in winter for both the lake surface and air temperature. With the warming of the climate, the later ice-on and earlier ice-off trend was simulated in the lake, significantly influencing the interannual and seasonal variability in radiation and heat flux. The annual average net shortwave radiation and latent heat flux (LH) both increase obviously while the net longwave radiation and sensible heat flux (SH) decrease slightly. Earlier ice-off leads to more energy absorption mainly in the form of shortwave radiation during the thawing period, and later ice-on leads to more energy release in the form of longwave radiation, SH and LH during the ice formation period. Meanwhile, the lake–air temperature difference increased in both periods due to shortening ice duration.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical study on the response of the largest lake in China to climate change

Wen

et al. 2019

Hydrol. Earth Syst. Sci.

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“…However, the solar radiation is strong (due to persistent clear-sky conditions), and the lake ice cover is consistently free of snow. In the QTP, the surface albedo of ice in large deep lakes can be unprecedentedly small (<0.2) (Li et al, 2018). Indeed, in our study the Briegleb albedo scheme yielded a small albedo, in particular, when the ice was thin.…”

Section: Discussionmentioning

confidence: 47%

“…Despite the harsh climatic conditions and the difficulties in access to these lakes, some field campaigns have been performed during ice-free periods in recent years. An unstable or near-neutral atmospheric boundary layer (ABL) prevails over the QTP lake surface in summer (Wang et al, 2015;Li et al, 2015Li et al, , 2016c. The turbulent heat fluxes show a strong seasonal variation and lag by 2-3 months behind net solar radiation (Li et al, 2016a;Wen et al, 2016).…”

mentioning

confidence: 99%

Modeling experiments on seasonal lake ice mass and energy balance in the Qinghai–Tibet Plateau: a case study

Huang

Cheng

Zhang

et al. 2019

Hydrol. Earth Syst. Sci.

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Abstract. The lake-rich Qinghai–Tibet Plateau (QTP) has significant impacts on regional and global water cycles and monsoon systems through heat and water vapor exchange. The lake–atmosphere interactions have been quantified over open-water periods, yet little is known about the lake ice thermodynamics and heat and mass balance during the ice-covered season due to a lack of field data. In this study, a high-resolution thermodynamic ice model was applied in experiments of lake ice evolution and energy balance of a shallow lake in the QTP. Basal growth and melt dominated the seasonal evolution of lake ice, but surface sublimation was also crucial for ice loss, accounting for up to 40 % of the maximum ice thickness. Sublimation was also responsible for 41 % of the lake water loss during the ice-covered period. Simulation results matched the observations well with respect to ice mass balance components, ice thickness, and ice temperature. Strong solar radiation, negative air temperature, low air moisture, and prevailing strong winds were the major driving forces controlling the seasonal ice mass balance. The energy balance was estimated at the ice surface and bottom, and within the ice interior and under-ice water. Particularly, almost all heat fluxes showed significant diurnal variations including incoming, absorbed, and penetrated solar radiation, long-wave radiation, turbulent air–ice heat fluxes, and basal ice–water heat fluxes. The calculated ice surface temperature indicated that the atmospheric boundary layer stratification was consistently stable or neutral throughout the ice-covered period. The turbulent air–ice heat fluxes and the net heat gain by the lake were much lower than those during the open-water period.

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“…However, the solar radiation is strong (due to persistent clear sky condition), and the lake ice 423 cover is consistently free of snow. In QTP, the surface albedo of ice in large lakes can be 424 unprecedentedly small (Li et al, 2018). Indeed, in our study the Briegleb albedo scheme yielded small 425 albedo, in particular, when the ice was thin.…”

Section: Respectively 396mentioning

confidence: 60%

Modeling experiments on seasonal lake ice mass and energy balance in Qinghai-Tibet Plateau: A case study

Huang¹,

Cheng²,

Zhang³

et al. 2018

Preprint

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The lake-rich Qinghai-Tibet Plateau (QTP) has significant impacts on regional and global 15 water cycles and monsoon systems through heat and water vapor exchange. The lake-atmosphere 16 interactions have been quantified over open-water periods, yet little is known about the lake ice 17 thermodynamics and heat and mass balance during ice-covered season due to a lack of field data. 18Modeling experiments on ice evolution and energy balance were performed in a shallow lake with a 19 high-resolution snow and ice thermodynamic model. The bottom ice growth and decay dominated the 20 seasonal evolution of the thickness of lake ice. Strong surface sublimation was a crucial pattern of ice 21 loss, which was up to 40% of the maximum ice thickness. Simulation results matched well with the 22 observations with respect to ice mass balance components, net ice thickness, and ice temperature. 23Strong solar radiation, consistent freezing air temperature, and low air moisture were the major driving 24 forces controlling the seasonal ice mass balance. Energy balance was estimated at the ice surface and 25 bottom, and within the ice interior and under-ice water. Particularly, almost all heat fluxes showed 26 significant diurnal variations including short-and long-wave radiation, turbulent heat fluxes, water heat 27 fluxes at ice bottom, and absorbed and penetrated solar radiation. The calculated ice surface 28 temperature indicated that the atmospheric boundary layer was consistently stable and neutral over the 29 ice-covered period. The turbulent heat fluxes between the lake ice and air and the net heat gain by the 30 lake were much lower than those during open-water period. Ice surface sublimation (vapor flux) was 31 demonstrated to be a vital seasonal water balance component, accounting for 41% of lake water loss 32 during the ice seasons. 33

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Investigation of the ice surface albedo in the Tibetan Plateau lakes based on the field observation and MODIS products

Cited by 24 publications

References 48 publications

Numerical study on the response of the largest lake in China to climate change

Numerical study on the response of the largest lake in China to climate change

Modeling experiments on seasonal lake ice mass and energy balance in the Qinghai–Tibet Plateau: a case study

Modeling experiments on seasonal lake ice mass and energy balance in Qinghai-Tibet Plateau: A case study

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