Response of inland lake dynamics over the Tibetan Plateau to climate change

Lei, Yajie; Yang, Kun; Wang, Bin; Sheng, Yongwei; Bird, Broxton W.; Zhang, Guoqing; Tian, Lide

doi:10.1007/s10584-014-1175-3

Cited by 234 publications

(196 citation statements)

References 20 publications

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“…Some recent research indicate that increasing precipitation may be the main driving mechanism of lake growths at the plateau scale [3,6]. As analyzed in Section 3.2, most of examined lakes over Hol Xil showed accelerated growths while rising rates of lake levels along the Gangdise Mountains decreased.…”

Section: Discussion On the Potential Cause Of Regional Lake Change Pamentioning

confidence: 96%

“…The main driving force behind dramatic lake dynamics over the TP has been under debate recently [3,6,7,[30][31][32][33][34]. One viewpoint supports that increasing glacial meltwater is the primary factor of rapid lake expansions in the Tibetan Plateau as most mountain glaciers showed obvious retreats during the past decades.…”

Section: Discussion On the Potential Cause Of Regional Lake Change Pamentioning

confidence: 99%

“…Along the Gangdise Mountains, there are at least ten lakes larger than 100 km 2 . From historical Landsat images and ICESat measurements, these lakes showed extent expansion and water-level rises in the 1990s and early 2000s [1,2,6,21,37,38]. However, the trends began to slow down or even reverse in the past few years.…”

Section: Discussion On the Potential Cause Of Regional Lake Change Pamentioning

confidence: 99%

“…Recent research reveals dramatic changes in water level and mass budgets of Tibetan lakes in the early twenty-first century [1][2][3][4], indicating a sharp alteration existing in mass balance of Asian "water tower" [2,4,5] and an evident signal of climate dynamics [3,[6][7][8][9]. These findings greatly depend on the lake elevation measurements by the Ice, Cloud, and land Elevation satellite (ICESat), as long-term in situ hydrological observations at the plateau scale are unavailable due to the remoteness and broad coverage of the Tibetan Plateau (TP).…”

Section: Introductionmentioning

confidence: 99%

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Combined ICESat and CryoSat-2 Altimetry for Accessing Water Level Dynamics of Tibetan Lakes over 2003–2014

Song

Sheng

et al. 2015

Water

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Long-term observations of lake water level are essential to our understanding of the evolution of Tibetan lake system. CryoSat-2 radar altimetry data over the Tibetan Plateau (2010Plateau ( -2014) is used to extend lake level measurements from ICESat laser altimetry (2003-2009, P1). This study evaluates the performance of CryoSat-2 data by comparing with gauge-based water levels that are calibrated by ICESat-observed water level time series, and quantifies the uncertainty of water-level change rate estimates from satellite altimetry measurements. We completely investigate the 131 lakes that were observed by both ICESat and CryoSat-2. The mean change rate of water level for all of examined lakes in P2 (0.19 ± 0.03 m·year -1 ) is slightly lower than that (0.21 ± 0.02 m·year -1 ) observed in P1. The extended lake level time series also indicates that, in the past few years, lakes in the Northern Changtang (especially in Hol Xil) showed accelerated growth; and that the extensive lake level rises north to the Gangdise Mountains, during 2003Mountains, during -2009, were found dampened during the CryoSat-2 observation period. The spatio-temporal heterogeneity of precipitation observed from weather stations can be used to partly explain the observed temporal pattern of lake level changes over different sub-zones of the plateau. OPEN ACCESSWater 2015, 7 4686

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Section: Discussion On the Potential Cause Of Regional Lake Change Pamentioning

confidence: 96%

Section: Discussion On the Potential Cause Of Regional Lake Change Pamentioning

confidence: 99%

Section: Discussion On the Potential Cause Of Regional Lake Change Pamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Combined ICESat and CryoSat-2 Altimetry for Accessing Water Level Dynamics of Tibetan Lakes over 2003–2014

Song

Sheng

et al. 2015

Water

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“…Meanwhile, the increasing air temperature also enhances evapotranspiration over the lake's watershed, therefore leading to diminished runoff. It is clear that mountain lakes are also directly influenced by changes in precipitation Lei et al 2014). In tropical regions, the exchange of water between ocean and atmosphere has a direct impact on continental waters at seasonal and inter-annual timescales.…”

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confidence: 99%

Lake Volume Monitoring from Space

Crétaux¹,

et al. 2016

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Lakes are integrators of environmental change occurring at both the regional and global scale. They present a wide range of behavior on a variety of timescales (cyclic and secular) depending on their morphology and climate conditions. Lakes play a crucial role in retaining and stocking water, and because of the significant global environmental changes occurring at several anthropocentric levels, the necessity to monitor all morphodynamic characteristics [e.g., water level, surface (water contour) and volume] has increased substantially. Satellite altimetry and imagery are now widely used together to calculate lake and reservoir water storage changes worldwide. However, strategies and algorithms to calculate these characteristics are not straightforward, and specific approaches need to be developed. We present a review of some of these methodologies by using lakes over the Tibetan Plateau to illustrate some critical aspects and issues (technical and scientific) linked to the observation of climate change impact on surface waters from remote sensing data. Many authors have measured water variation using the limited remote sensing measurements available over short time periods, even though the time series are probably too short to directly link these results with climate change. Indeed, there are many processes and factors, like the influence of lake morphology, that are beyond observation and are still uncertain. The time response for lakes to reach a new state of equilibrium is a key aspect that is often neglected in current literature. Observations over a long period of time, including maintaining a constellation of comprehensive and complementary satellite missions with service continuity over decades, are therefore necessary especially when the ground gauge network is too limited. In addition, the design of future satellite missions with new instrumental concepts (e.g., SAR, SARin, Ka band altimetry, Ka interferometry) will also be suitable for complete monitoring of continental waters.

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Exploring the water storage changes in the largest lake (Selin Co) over the Tibetan Plateau during 2003–2012 from a basin‐wide hydrological modeling

Zhou

Wang

Zhang

et al. 2015

Water Resources Research

142

107

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Lake water storage change (DS w ) is an important indicator of the hydrologic cycle and greatly influences lake expansion/shrinkage over the Tibetan Plateau (TP). Accurate estimation of DS w will contribute to improved understanding of lake variations in the TP. Based on a water balance, this study explored the variations of DS w for the Lake Selin Co (the largest closed lake on the TP) during 2003-2012 using the Water and Energy Budget-based Distributed Hydrological Model (WEB-DHM) together with two different evapotranspiration (ET) algorithms (the Penman-Monteith method and a simple sublimation estimation approach for water area in unfrozen and frozen period). The contributions of basin discharge and climate causes to the DS w are also quantitatively analyzed. The results showed that WEB-DHM could well reproduce daily discharge, the spatial pattern, and basin-averaged values of MODIS land surface temperature (LST) during nighttime and daytime. Compared with the ET reference values estimated from the basin-wide water balance, our ET estimates showed better performance than three global ET products in reproducing basinaveraged ET. The modeled ET at point scale matches well with short-term in situ daily measurements (RMSE 5 0.82 mm/d). Lake inflows and precipitation over the water area had stronger relationships with DS w in the warm season and monthly scale, whereas evaporation from the water area had remarkable effects on DS w in the cold season. The total contribution of the three factors to DS w was about 90%, and accounting for 49.5%, 22.1%, and 18.3%, respectively.

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Response of inland lake dynamics over the Tibetan Plateau to climate change

Cited by 234 publications

References 20 publications

Combined ICESat and CryoSat-2 Altimetry for Accessing Water Level Dynamics of Tibetan Lakes over 2003–2014

Combined ICESat and CryoSat-2 Altimetry for Accessing Water Level Dynamics of Tibetan Lakes over 2003–2014

Lake Volume Monitoring from Space

Exploring the water storage changes in the largest lake (Selin Co) over the Tibetan Plateau during 2003–2012 from a basin‐wide hydrological modeling

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