Significant differences exist in lake-atmosphere interactions and the evaporation rates of high-elevation small and large lakes

Wang, Binbin; Ma, Yaoming; Wang, Yan; Su, Zhongbo; Ma, Weiqiang

doi:10.1016/j.jhydrol.2019.03.066

Cited by 42 publications

(52 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lake evaporation amounts of high-elevation lakes have been estimated by various methods; however, the reported values have large discrepancy in their seasonal variations and annual amounts (8,9). Lake evaporation amounts estimated by different methods can lead to contradictory water budget conclusions for a lake [i.e., water seepage (6) and much higher lake evaporation and water volume change values relative to the water supply (7) in Lake Nam Co].…”

Section: Introductionmentioning

confidence: 99%

“…Lake evaporation amounts estimated by different methods can lead to contradictory water budget conclusions for a lake [i.e., water seepage (6) and much higher lake evaporation and water volume change values relative to the water supply (7) in Lake Nam Co]. For ice-covered seasons, ice sublimation was simply assumed to be negligible in previous studies (4,10); however, in situ eddy covariance (EC) measurements (9) and model simulations (11) contradicted this assumption. For ice-free seasons, remarkable differences in the lakeair interaction processes have been reported through in situ EC measurements over a small lake and a large lake, which have quite different ice phenology, meteorological and environmental conditions, and seasonal variation of evaporation amounts (9).…”

Section: Introductionmentioning

confidence: 99%

“…For ice-covered seasons, ice sublimation was simply assumed to be negligible in previous studies (4,10); however, in situ eddy covariance (EC) measurements (9) and model simulations (11) contradicted this assumption. For ice-free seasons, remarkable differences in the lakeair interaction processes have been reported through in situ EC measurements over a small lake and a large lake, which have quite different ice phenology, meteorological and environmental conditions, and seasonal variation of evaporation amounts (9). Thus, lakes with different areas, elevations, and latitudes may show quite different patterns in their ice phenology and evaporation amounts.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, EC measurements have been used to quantify the evaporation amounts of several high-elevation lakes, including Lake Nam Co (9), Lake Qinghai (12), Lake Serling Co (13), and Lake Ngoring (14). However, energy budget imbalances have been obtained by EC-based in situ measurements over waters and lands worldwide.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Quantifying the evaporation amounts of 75 high-elevation large dimictic lakes on the Tibetan Plateau

Wang

et al. 2020

Sci. Adv.

Self Cite

View full text Add to dashboard Cite

Lake evaporation can influence basin-wide hydrological cycles and is an important factor in loss of water resources in endorheic lakes of the Tibetan Plateau. Because of the scarcity of data, published lake evaporation values are inconsistent, and their spatial distribution has never been reported. Presenting a plausible hypothesis of energy balance during the ice-free seasons, we explored the multiyear (2003–2016) average ice phenology and evaporation amounts of 75 large dimictic lakes by using a combination of meteorological and satellite data. Evaporation amounts show large variability in spatial distribution, with a pattern of higher values in the south. Lakes with higher elevation, smaller area, and higher latitude are generally associated with a shorter ice-free season and lower evaporation. The total evaporated water amounts have values of approximately 29.4 ± 1.2 km3 year−1 for the 75 studied lakes and 51.7 ± 2.1 km3 year−1 for all plateau lakes included.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantifying the evaporation amounts of 75 high-elevation large dimictic lakes on the Tibetan Plateau

Wang

et al. 2020

Sci. Adv.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Accurate observation of the lake microclimate and lake-air interactions will help to better manage this water resource and to better predict how it may be affected by environmental changes. Towards that end, an increasing number of studies have employed the eddy covariance (EC) methodology to monitor physical state (temperature, wind, humidity) and process variables (momentum flux and radiation and energy fluxes) in the lake environment (Vesala et al, 2006;Blanken et al, 2011;Nordbo et al, 2011;Wang et al, 2014;Li et al, 2015;Yusup and Liu, 2016;Du et al, 2018;Hamdani et al, 2018;Xiao et al, 2018;Wang et al, 2019). Unlike EC studies in land ecosystems, however, data from these lake studies are rarely published as data pa-pers or are rarely archived in public data depositories accessible by the broader scientific community.…”

Section: Introductionmentioning

confidence: 99%

A dataset of microclimate and radiation and energy fluxes from the Lake Taihu eddy flux network

Zhang

Cao

et al. 2020

Earth Syst. Sci. Data

View full text Add to dashboard Cite

Abstract. Eddy covariance data are widely used for the investigation of surface–air interactions. Although numerous datasets exist in public depositories for land ecosystems, few research groups have released eddy covariance data collected over lakes. In this paper, we describe a dataset from the Lake Taihu eddy flux network, a network consisting of seven lake sites and one land site. Lake Taihu is the third-largest freshwater lake (area of 2400 km2) in China, under the influence of subtropical climate. The dataset spans the period from June 2010 to December 2018. Data variables are saved as half-hourly averages and include micrometeorology (air temperature, humidity, wind speed, wind direction, rainfall, and water or soil temperature profile), the four components of surface radiation balance, friction velocity, and sensible and latent heat fluxes. Except for rainfall and wind direction, all other variables are gap-filled, with each data point marked by a quality flag. Several areas of research can potentially benefit from the publication of this dataset, including evaluation of mesoscale weather forecast models, development of lake–air flux parameterizations, investigation of climatic controls on lake evaporation, validation of remote-sensing surface data products and global synthesis on lake–air interactions. The dataset is publicly available at https://yncenter.sites.yale.edu/data-access (last access: 24 October 2020) and from the Harvard Dataverse (https://doi.org/10.7910/DVN/HEWCWM; Zhang et al., 2020).

show abstract

Long‐distance atmospheric moisture dominates water budget in permafrost regions of the Central Qinghai‐Tibet plateau

Zhu

et al. 2020

Hydrological Processes

View full text Add to dashboard Cite

Precipitation plays an important role in permafrost hydrology; it can alter the hydrothermal condition of the active layer and even influence the permafrost aggradation or degradation. Moisture recycling from evaporation and transpiration can greatly contribute to local precipitation in some regions. This study selected four monitoring sites and used an isotope mixing model to investigate local moisture recycling in permafrost regions of the central Qinghai-Tibet Plateau (QTP). The results showed that the local water vapour flux in the summer and autumn were dominantly influenced by westerlies and the Indian monsoon. Moistures for precipitation in Wudaoliang (WDL) and Fenghuoshan (FHS) mainly came from the western QTP, eastern Tianshan Mountains, western Qilian Mountains, and the surrounding regions. In comparsion, more than half of precipitation at Tanggula (TGL) was mostly sourced from the Indian monsoon. Local moisture recycling ratios at the four sites ranged from 14% ± 3.8% to 31.6% ± 4.8%, and depended on the soil moisture and relative humidity. In particular, the higher soil moisture and relative humidity promoted local moisture recycling, but frozen ground might be a potential influencing factor as well. The moisture recycling ratios of the study area were consistent with the results from both the Qinghai Lake Basin and the Nam Co Basin, but differed from those of the northwestern QTP. This difference may indirectly confirm the great spatial variability in precipitation on the QTP. Moreover, the rising air temperature and ground temperature, increasing precipitation, higher soil moisture, higher vegetation cover, and expanding lakes in the study area may be conductive to enhancing future local moisture recycling by altering ground surface conditions and facilitating the land surface evaporation and plant transpiration.

show abstract

Significant differences exist in lake-atmosphere interactions and the evaporation rates of high-elevation small and large lakes

Cited by 42 publications

References 64 publications

Quantifying the evaporation amounts of 75 high-elevation large dimictic lakes on the Tibetan Plateau

Quantifying the evaporation amounts of 75 high-elevation large dimictic lakes on the Tibetan Plateau

A dataset of microclimate and radiation and energy fluxes from the Lake Taihu eddy flux network

Long‐distance atmospheric moisture dominates water budget in permafrost regions of the Central Qinghai‐Tibet plateau

Contact Info

Product

Resources

About