предыдущий|следующий

Glacier mass balance changes in Malan Mountain based on InSAR and LiDAR altimetry

  • role： First author第一作者
  • Affiliation：

    School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

    The First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266000, China

  • Email：sjpang@smail.nju.edu.cn
  • Introduction：庞书剑，研究方向为冰川变化研究。E-mail： sjpang@smail.nju.edu.cn
PANG Shujian12,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

  • Email：kecq@nju.edu.cn
  • Introduction：柯长青，研究方向为冰雪遥感研究。E-mail：kecq@nju.edu.cn
KE Changqing1*,  
  • Affiliation：

    The First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266000, China

ZHOU Xinghua2,  
  • Affiliation：

    College of Resource Environment and Tourism, Hunan University of Arts and Science, Changde 415000, China

ZHANG Qibing3,  
  • Affiliation：

    School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

FAN Yubin1,  
  • Affiliation：

    School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

YU Xuening1

реферат

Glacier mass balance is a significant indicator of glacier accumulation and ablation state, and it also reflects the relationship between glacier and climate forcing, which have great impacts on evaluating glacier dynamics. Due to the continuous accumulation of greenhouse effect, large amount of mountain glaciers in the Qinghai-Tibet Plateau in China has been continuously depleted since 1970, especially in the East Kunlun Mountains and the inner regions of the Qinghai-Tibet Plateau. The large-scale and long-term observation of glacier mass balance is usually estimated according to the elevation change of the glacier surface by the remote sensing means of synthetic aperture radar interferometry, Lidar altimetry technology and photogrammetry using optical stereo image. In this work, we choose Malan Mountain, located in the north of Tibet Plateau, as our study area, which is one of the most ablated glacier regions in East Kunlun Mountains. To assess glacier mass change in Malan Mountain in recent two decades, we utilize SRTM DEM, TerraSAR-X/TanDEM-X, and ICESat-2 data to estimate its glacier mass balance during 2000—2012, 2012—2020, and 2000—2020. In order to obtain the true value of the long time change of glacier surface elevation, we take the following steps. Firstly, three kinds of elevation data were registered to eliminate the spatial errors, and then the penetration depth of ice in the East Kunlun Mountains was estimated by statistical method according to the difference between SRTM-X DEM and SRTM-C DEM. Finally, the accurate ice elevation change value was obtained by seasonal correction according to the seasonal change of glacier. The results show that: (1) During 2000—2020, 41 glaciers in Malan Mountain display remarkably negative mass change (-0.24 ± 0.06 m·w·e/a) and their overall elevation change is -5.64 ± 0.96 m. Besides, we also compare glacier mass change in Malan Mountain during two subperiods and we find that glacier ice mass loss rate is more apparent during 2000—2012 (-0.30 ± 0.04 m·w·e/a) than 2012—2020 (-0.22 ± 0.11 m·w·e/a). (2) Based on GPCC (Global Precipitation Climatology Center) and GHCN_CAMS (Global Historical Climatology Network) reanalysis dataset, we discover that the evidently negative mass change in Malan Mountain during 2000—2020 is mainly attributed to increasing summer temperature. Albeit slightly increasing annual precipitation for glacier ice mass accumulation in recent two decades, it still cannot compensate ice mass loss caused by increasing summer temperature. Additionally, we also find that the decreasing glacier ice mass loss rate during 2012—2020 is predominantly ascribed to decreasing summer temperature in this period. (3) According to Landsat-7 images during 2007—2012, we discover a surging glacier in the southern slope of Malan Mountain and its terminus advances approximately 251 m during this period.

ключеви́че слова́

Mass balance;radar interferometry;TanDEM-X;ICESat-2;climate change;glacier surging;glacier in Malan Mountain

References

  1. 1.
    Barsi J A, Markham B L, Czapla-Myers J S, Helder D L, Hook S J, Schott J R and Mohammed O H. 2016. Landsat-7 ETM+ radiometric calibration status//Proceedings of Society of Photo-Optical Instrumentation Engineers 9972. Earth Observing Systems XXI: 99720C
  2. 2.
    Bojinski S, Verstraete M, Peterson T C, Richter C, Simmons A and Zemp M. 2014. The concept of essential climate variables in support of climate research, applications, and policy. Bulletin of the American Meteorological Society, 95(9): 1431-1443
  3. 3.
    Bolch T, Pieczonka T and Benn D I. 2011. Multi-decadal mass loss of glaciers in the Everest area (Nepal Himalaya) derived from stereo imagery. The Cryosphere, 5(2): 349-358
  4. 4.
    Brun F, Berthier E, Wagnon P, Kääb A and Treichler D. 2017. A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016. Nature Geoscience, 10(9): 668-673
  5. 5.
    Dehecq A, Millan R, Berthier E, Gourmelen N, Trouvé E and Vionnet V. 2016. Elevation changes inferred from TanDEM-X data over the Mont-Blanc area: impact of the X-band interferometric bias. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(8): 3870-3882
  6. 6.
    Farr T G, Rosen P A, Caro E, Crippen R, Duren R, Hensley S, Kobrick M, Paller M, Rodriguez E, Roth, L, Seal D, Shaffer S, Shimada J, Umland J, Werner M, Oskin M, Burbank D and Alsdorf D. 2007. The shuttle radar topography mission. Reviews of Geophysics, 45(2): RG2004
  7. 7.
    Gardelle J, Berthier E, Arnaud Y and Kääb A. 2013. Region-wide glacier mass balances over the Pamir-Karakoram-Himalaya during 1999—2011. The Cryosphere, 7(4): 1263-1286
  8. 8.
    Huang D F and Liu G X. 2009. Experimental Investigation on Generating Digital Elevation Model of highly Mountains Area with ERS-1/2 Tandem Radar Interferometry. Remote Sensing Technology and Application, 24(3): 291-296+251
  9. 9.
    Huss M. 2013. Density assumptions for converting geodetic glacier volume change to mass change. The Cryosphere, 7(3): 877-887
  10. 10.
    Jiang S. 2012. Research on Glacier and Climate Change in the Eastern Kunlun Mountains Based on Remote Sensing. Lanzhou University
  11. 11.
    Jiang S, Yang T B and Tian H Z. 2012. Glacier shrinkage and its dependence on climate in the Malan Mountain in past 40 years based on RS and GIS. Journal of Glaciology and Geocryology, 34(3): 522-529
  12. 12.
    Jiang Z L, Liu S Y, Guo W Q, Li J, Long S C, Wang X, Wei J F, Zhang Z and Wu K P. 2018. Recent surface elevation changes of three representative glaciers in Ányêmaqên Mountains, source region of Yellow River. Journal of Glaciology and Geocryology, 40(2): 231-237
  13. 13.
    Jiang Z L, Zhang J L, Zhang Z, Liu S Y, Wei J F, Guo W Q, Zhu C G and Huang D N. 2019. Glacier change and mass balance (1972—2011) in Ulugh Muztagh, eastern Kunlun Mountains, monitored by remote sensing. Remote Sensing for Land and Resources, 31(4): 128-136
  14. 14.
    Kääb A, Berthier E, Nuth C, Gardelle J and Arnaud Y. 2012. Contrasting patterns of early twenty-first-century glacier mass change in the Himalayas. Nature, 488(7412): 495-498
  15. 15.
    Li G and Lin H. 2017. Recent decadal glacier mass balances over the Western Nyainqentanglha Mountains and the increase in their melting contribution to Nam Co Lake measured by differential bistatic SAR interferometry. Global and Planetary Change, 149: 177-190
  16. 16.
    Liu L, Jiang L M, Jiang H J, Wang H S, Ma N and Xu H Z. 2019. Accelerated glacier mass loss (2011—2016) over the Puruogangri ice field in the inner Tibetan Plateau revealed by bistatic InSAR measurements. Remote Sensing of Environment, 231: 111241
  17. 17.
    Maussion F, Scherer D, Mölg T, Collier E, Curio J and Finkelnburg R. 2014. Precipitation seasonality and variability over the Tibetan Plateau as resolved by the high Asia reanalysis. Journal of Climate, 27(5): 1910-1927
  18. 18.
    Nuth C and Kääb A. 2011. Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change. The Cryosphere, 5(1): 271-290
  19. 19.
    Pieczonka T and Bolch T. 2015. Region-wide glacier mass budgets and area changes for the Central Tien Shan between ~1975 and 1999 using Hexagon KH-9 imagery. Global and Planetary Change, 128: 1-13
  20. 20.
    Pieczonka T, Bolch T, Wei J F and Liu S Y. 2013. Heterogeneous mass loss of glaciers in the Aksu-Tarim Catchment (Central Tien Shan) revealed by 1976 KH-9 Hexagon and 2009 SPOT-5 stereo imagery. Remote Sensing of Environment, 2013, 130: 233-244
  21. 21.
    Pu J C, Yao T D, Wang N L, Ding F L and Zhang Q H. 2001. Recent variation of the Malan glacier in Hoh Xil region of the Tibetan Plateau. Journal of Glaciology and Geocryology, 23(2): 189-192
  22. 22.
    Qin D H, Ding Y J, Xiao C D, Kang S C, Ren J W, Yang J P and Zhang S Q. 2018. Cryospheric science: research framework and disciplinary system. National Science Review, 5(2): 255-268
  23. 23.
    RGI Consortium, 2017. Randolph Glacier Inventory-A Dataset of Global Glacier Outlines, Version 6. Boulder, Colorado USA: Global Land Ice Measurements from Space
  24. 24.
    Smith B, Adusumilli S, Csathó B M, Felikson D, Fricker H A, Gardner A, Holschuh N, Lee J, Nilsson J, Paolo F S, Siegfried M R, Sutterley T and the ICESat-2 Science Team. 2021. ATLAS/ICESat-2 L3Land Ice HeightA, Version 5. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center
  25. 25.
    Sun Y F, Jiang L M, Liu L, Sun Y L and Wang H S. 2016. Generating and evaluating digital terrain model with TanDEM-X Bistatic SAR interferometry. Geomatics and Information Science of Wuhan University, 41(1): 100-105
  26. 26.
    Wang N L, Yao T D, Xu B Q, Chen A A and Wang W C. 2019. Spatiotemporal pattern, trend, and influence of glacier change in Tibetan Plateau and surroundings under global warming. Bulletin of the Chinese Academy of Sciences, 34(11): 1220-1232
  27. 27.
    Wang Q Y, Yi S, Chang L and Sun W K. 2017a. Large-scale seasonal changes in glacier thickness across High Mountain Asia. Geophysical Research Letters, 44(20): 10427-10435
  28. 28.
    Wang Q Y, Yi S and Sun W K. 2017b. Precipitation-driven glacier changes in the Pamir and Hindu Kush mountains. Geophysical Research Letters, 44(6): 2817-2824
  29. 29.
    Wang S, Pu J C and Wang N L. 2011. Study of mass balance and sensibility to climate change of Qiyi Glacier in Qilian Mountains. Journal of Glaciology and Geocryology, 33(6): 1214-1221
  30. 30.
    Xie Z C, Han J K, Feng Q H and Wang X J. 2000. Primary study on the glaciers of Mountain Malan, Hoh Xil Region, Qinghai-Xizang Plateau. Acta Scientiarum Naturalium Universitatis Normalis Hunanensis, 23(1): 83-88
  31. 31.
    Yang R M, Zhang T J, Zhu L P and Ju J T. 2019. Laigu glacial lake variation and its outburst flood risk in southeast Tibetan Plateau. Quaternary Sciences, 39(5): 1171-1180
  32. 32.
    Yao T D, Thompson L, Yang W, Yu W S, Gao Y, Guo X J, Yang X X, Duan K Q, Zhao H B, Xu B Q, Pu J C, Lu A X, Xiang Y, Kattel D B and Joswiak D. 2012. Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nature Climate Change, 2(9): 663-667
  33. 33.
    Zhang K Q, Gann D, Ross M, Robertson Q, Sarmiento J, Santana S, Rhome J and Fritz C. 2019. Accuracy assessment of ASTER, SRTM, ALOS, and TDX DEMs for Hispaniola and implications for mapping vulnerability to coastal flooding. Remote Sensing of Environment, 225: 290-306
  34. 34.
    Zhang Z, Liu S Y, Jiang Z L, Shangguan D H, Wei J F, Guo W Q, Xu J L, Zhang Y, Zhang S S and Huang D N. 2020. Glacier variations at Xinqingfeng and Malan ice caps in the Inner Tibetan Plateau since 1970. Remote Sensing, 12(3): 421
  35. 35.
    Zhou Y S, Hu J, Li Z W, Li J, Zhao R and Ding X L. 2019. Quantifying glacier mass change and its contribution to lake growths in central Kunlun during 2000—2015 from multi-source remote sensing data. Journal of Hydrology, 570: 38-50
  36. 36.
    Zhou Y S, Li Z W and Li J. 2017. Slight glacier mass loss in the Karakoram region during the 1970s to 2000 revealed by KH-9 images and SRTM DEM. Journal of Glaciology, 63(238): 331-342
  37. 37.
    Zhou Y S, Li Z W, Li J, Zhao R and Ding X L. 2018. Glacier mass balance in the Qinghai-Tibet Plateau and its surroundings from the mid-1970s to 2000 based on Hexagon KH-9 and SRTM DEMs. Remote Sensing of Environment, 210: 96-112

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