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Contrasting evolution patterns between glacier-fed and non-glacier-fed lakes in the Tanggula Mountains and climate cause analysis

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Abstract

High-altitude lakes in the Tibetan Plateau (TP) showed strong spatio-temporal variability during past decades. The lake dynamics could be associated with several important factors including lake type, supply of glacial meltwater, local climate variations. It is important to differentiate these factors when analyzing the driving forces of lakes dynamics. With a focus on lakes over the Tanggula Mountains of the central TP, this study investigates the temporal evolution patterns of lake area and water level of different types: glacier-fed closed lake, non-glacier-fed closed lake and upstream lake (draining into closed lakes). We collected all available Landsat archive data and quantified the inter-annual variability of lake extents. Results reveal accelerated expansions of both glacier-fed and non-glacier-fed lakes during 1970s–2013, and different temporal patterns of the two types of lakes: the non-glacier-fed lakes displayed a batch-wise growth pattern, with obvious growth in 2002, 2005 and 2011 and slight changes in other years, while glacier-fed lakes showed steady expanding tendency. The contrasting patterns are confirmed by distinct lake level changes between the two groups derived from satellite altimetry during 2003–2013. The upstream lakes remained basically stable due to natural drainage regulation. The intermittent expansions for non-glacier-fed lakes are found to be related to excessive precipitation events and positive “precipitation–evaporation”. In contrast, glacier-fed lake changes showed weak correlations with precipitation variations, which implies a joint contribution from glacial meltwater to water budgets. Our study suggests that glacial meltwater supply may have an equivalent influence on lake growth with precipitation/evaporation in the study area.

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References

  • Biskop S, Maussion F, Krause P, Fink M (2015) What are the key drivers of regional differences in the water balance on the Tibetan Plateau?

  • Gardner AS, Moholdt G, Cogley JG, Wouters B, Arendt AA, Wahr J, Berthier E, Hock R, Pfeffer WT, Kaser G, Ligtenberg SRM, Bolch T, Sharp MJ, Hagen JO, van den Broeke MR, Paul F (2013) A reconciled estimate of glacier contributions to sea level rise: 2003 to 2009. Science 340:852–857

    Article  Google Scholar 

  • Guo W, Liu S, Xu J, Wu L, Shangguan D, Yao X, Wei J, Bao W, Yu P, Liu Q (2015) The second Chinese glacier inventory: data, methods and results. J Glaciol 61:357

    Article  Google Scholar 

  • Huffman GJ, Bolvin DT, Nelkin EJ, Wolff DB, Adler RF, Gu G, Hong Y, Bowman KP, Stocker EF (2007) The TRMM Multisatellite Precipitation Analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol 8:38–55

    Article  Google Scholar 

  • Immerzeel WW, Bierkens MFP (2010) Asian water towers: more on monsoons--response. Science 330:585–558a

    Article  Google Scholar 

  • Kääb A, Berthier E, Nuth C, Gardelle J, Arnaud Y (2012) Contrasting patterns of early twenty-first-century glacier mass change in the Himalayas. Nature 488:495–498

    Article  Google Scholar 

  • Ke L, Ding X, Song C (2015) Estimation of mass balance of Dongkemadi glaciers with multiple methods based on multi-mission satellite data. Quaternary International

  • Kleinherenbrink M, Ditmar P, Lindenbergh R (2014) Retracking Cryosat data in the SARIn mode and robust lake level extraction. Remote Sens Environ 152:38–50

    Article  Google Scholar 

  • Krause P, Biskop S, Helmschrot J, Flügel W-A, Kang S, Gao T (2010) Hydrological system analysis and modelling of the Nam Co basin in Tibet. AdG 27

  • Kropáček J, Braun A, Kang S, Feng C, Ye Q, Hochschild V (2012) Analysis of lake level changes in Nam Co in central Tibet utilizing synergistic satellite altimetry and optical imagery. Int J Appl Earth Obs Geoinf 17:3–11

    Article  Google Scholar 

  • Labroue S, Boy F, Picot N, Urvoy M, Ablain M (2012) First quality assessment of the Cryosat-2 altimetric system over ocean. Adv Space Res 50:1030–1045

    Article  Google Scholar 

  • Lei Y, Yao T, Yi C, Wang W, Sheng Y, Li J, Joswiak D (2012) Glacier mass loss induced the rapid growth of Linggo Co on the central Tibetan Plateau. J Glaciol 58:177–184

    Article  Google Scholar 

  • Lei Y, Yang K, Wang B, Sheng Y, Bird BW, Zhang G, Tian L (2014) Response of inland lake dynamics over the Tibetan Plateau to climate change. Clim Chang 125:281–290

    Article  Google Scholar 

  • Li J, Sheng Y (2012) An automated scheme for glacial lake dynamics mapping using Landsat imagery and digital elevation models: a case study in the Himalayas. Int J Remote Sens 33:5194–5213

    Article  Google Scholar 

  • Li B, Yu Z, Liang Z, Acharya K (2014a) Hydrologic response of a high altitude glacierized basin in the central Tibetan Plateau. Glob Planet Chang 118:69–84

    Article  Google Scholar 

  • Li L, Li J, Yao X, Luo J, Huang Y, Feng Y (2014b) Changes of the three holy lakes in recent years and quantitative analysis of the influencing factors. Quat Int 349:339–345

    Article  Google Scholar 

  • Liao J, Shen G, Li Y (2012) Lake variations in response to climate change in the Tibetan Plateau in the past 40 years. Int J Digit Earth: 1–16

  • Ma Y, Zhu Z, Zhong L, Wang B, Han C, Wang Z, Wang Y, Lu L, Amatya P, Ma W (2014) Combining MODIS, AVHRR and in situ data for evapotranspiration estimation over heterogeneous landscape of the Tibetan Plateau. Atmos Chem Phys 14:1507–1515

    Article  Google Scholar 

  • McFeeters SK (1996) The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. Int J Remote Sens 17:1425–1432

    Article  Google Scholar 

  • Mu Q, Zhao M, Running SW (2011) Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens Environ 115:1781–1800

    Article  Google Scholar 

  • Neckel N, Braun A, Kropáček J, Hochschild V (2013) Recent mass balance of the Purogangri Ice Cap, central Tibetan Plateau, by means of differential X-band SAR interferometry. Cryosphere 7:1623–1633

    Article  Google Scholar 

  • Phan VH, Lindenbergh R, Menenti M (2012) ICESat derived elevation changes of Tibetan lakes between 2003 and 2009. Int J Appl Earth Obs Geoinf 17:12–22

    Article  Google Scholar 

  • Phan VH, Lindenbergh R, Menenti M (2013) Geometric dependency of Tibetan lakes on glacial runoff. Hydrol Earth Syst Sci Discuss 10:729–768

    Article  Google Scholar 

  • Pu J, Yao T, Yang M, Tian L, Wang N, Ageta Y, Fujita K (2008) Rapid decrease of mass balance observed in the Xiao (Lesser) Dongkemadi Glacier, in the central Tibetan Plateau. Hydrol Process 22:2953–2958

    Article  Google Scholar 

  • Song C, Huang B, Ke L (2013) Modeling and analysis of lake water storage changes on the Tibetan Plateau using multi-mission satellite data. Remote Sens Environ 135:25–35

    Article  Google Scholar 

  • Song C, Huang B, Ke L, Richards KS (2014a) Seasonal and abrupt changes in the water level of closed lakes on the Tibetan Plateau and implications for climate impacts. J Hydrol 514:131–144

    Article  Google Scholar 

  • Song C, Huang B, Richards K, Ke L, Hien Phan V (2014b) Accelerated lake expansion on the Tibetan Plateau in the 2000s: induced by glacial melting or other processes? Water Resour Res 50:3170–3186

    Article  Google Scholar 

  • Song C, Huang B, Ke L (2015a) Heterogeneous change patterns of water level for inland lakes in High Mountain Asia derived from multi-mission satellite altimetry. Hydrol Process 29:2769–2781

    Article  Google Scholar 

  • Song C, Ye Q, Cheng X (2015b) Shifts in water-level variation of Namco in the central Tibetan Plateau from ICESat and CryoSat-2 altimetry and station observations. Sci Bull 60:1287–1297

    Article  Google Scholar 

  • Song C, Ye Q, Sheng Y, Gong T (2015c) Combined ICESat and CryoSat-2 altimetry for accessing water level dynamics of Tibetan Lakes over 2003–2014. Water 7:4685

    Article  Google Scholar 

  • Tong K, Su F, Yang D, Hao Z (2014a) Evaluation ofsatellite precipitation retrievals and their potential utilities in hydrologic modeling over the Tibetan Plateau. J Hydrol 519:423–437

    Article  Google Scholar 

  • Tong K, Su F, Yang D, Zhang L, Hao Z (2014b) Tibetan Plateau precipitation as depicted by gauge observations, reanalyses and satellite retrievals. Int J Climatol 34:265–285

    Article  Google Scholar 

  • Urban TJ, Schutz BE, Neuenschwander AL (2008) A survey of ICESat coastal altimetry applications: continental coast, open ocean island, and inland river. Terr Atmos Ocean Sci 19:1–19

    Article  Google Scholar 

  • Wan W, Xiao P, Feng X, Li H, Ma R, Duan H, Zhao L (2014) Monitoring lake changes of Qinghai-Tibetan Plateau over the past 30 years using satellite remote sensing data. Chin Sci Bull: 1–15.

  • Wang J, Sheng Y, Tong TSD (2014) Monitoring decadal lake dynamics across the Yangtze Basin downstream of Three Gorges Dam. Remote Sens Environ 152:251–269

    Article  Google Scholar 

  • Wu G, Zhu L (2008) The response of lake- glacier area change to climate variations in Namco Basin, central Tibetan Plateau, during the last three decades. J Geogr Sci: 177–189

  • Xu C-y, Gong L, Jiang T, Chen D, Singh VP (2006) Analysis of spatial distribution and temporal trend of reference evapotranspiration and pan evaporation in Changjiang (Yangtze River) catchment. J Hydrol 327:81–93

    Article  Google Scholar 

  • Yang K, Wu H, Qin J, Lin C, Tang W, Chen Y (2014) Recent climate changes over the Tibetan Plateau and their impacts on energy and water cycle: a review. Glob Planet Chang 112:79–91

    Article  Google Scholar 

  • Yao T, Thompson L, Yang W, Yu W, Gao Y, Guo X, Yang X, Duan K, Zhao H, Xu B (2012) Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nat Clim Chang 2:663–667

    Article  Google Scholar 

  • Ye Q, Yao T, Naruse R (2008) Glacier and lake variations in the Mapam Yumco basin, western Himalaya of the Tibetan Plateau, from 1974 to 2003 using remote-sensing and GIS technologies. J Glaciol 54:933–935

    Article  Google Scholar 

  • Yin Z-Y, Zhang X, Liu X, Colella M, Chen X (2008) An assessment of the biases of satellite rainfall estimates over the Tibetan Plateau and correction methods based on topographic analysis. J Hydrometeorol 9:301–326

    Article  Google Scholar 

  • You Q, Min J, Zhang W, Pepin N, Kang S (2015) Comparison of multiple datasets with gridded precipitation observations over the Tibetan Plateau. Clim Dyn 45:1–16

    Article  Google Scholar 

  • Zhang G, Xie H, Kang S, Yi D, Ackley SF (2011) Monitoring lake level changes on the Tibetan Plateau using ICESat altimetry data (2003–2009). Remote Sens Environ 115:1733–1742

    Article  Google Scholar 

  • Zhou J, Wang L, Zhang Y, Guo Y, Li X, Liu W (2015) Exploring the water storage changes in the largest lake (Selin Co) over the Tibetan Plateau during 2003–2012 from a basin-wide hydrological modeling. Water Resour Res

  • Zhu L, Xie M, Wu Y (2010) Quantitative analysis of lake area variations and the influence factors from 1971 to 2004 in the Nam Co basin of the Tibetan Plateau. Chin Sci Bull 55:1294–1303

    Article  Google Scholar 

  • Zwally HJ, Schutz B, Abdalati W, Abshire J, Bentley C, Brenner A, Bufton J, Dezio J, Hancock D, Harding D (2002) ICESat’s laser measurements of polar ice, atmosphere, ocean, and land. J Geodyn 34:405–445

    Article  Google Scholar 

Download references

Acknowledgments

This research was funded by the United States Geological Surveying (USGS) Landsat Science Team Program Grant (G12PC00071).

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Correspondence to Yongwei Sheng.

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Song, C., Sheng, Y. Contrasting evolution patterns between glacier-fed and non-glacier-fed lakes in the Tanggula Mountains and climate cause analysis. Climatic Change 135, 493–507 (2016). https://doi.org/10.1007/s10584-015-1578-9

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  • DOI: https://doi.org/10.1007/s10584-015-1578-9

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