Log in

Seasonal variations in glacier velocity in the High Mountain Asia region during 2015–2020

  • Research Article
  • Published:
Journal of Arid Land Aims and scope Submit manuscript

Abstract

Velocity is an important component of glacier dynamics and directly reflects the response of glaciers to climate change. As a result, an accurate determination of seasonal variation in glacier velocity is very important in understanding the annual variation in glacier dynamics. However, few studies of glacier velocity in the High Mountain Asia (HMA) region were done. Along these lines, in this work, based on Sentinel-1 glacier velocity data, the distribution of glacier velocity in the HMA region was plotted and their seasonal variations during 2015–2020 were systematically analysed. The average glacier velocity in the HMA region was 0.053 m/d, and was positively correlated with the glacier area and slope. Glaciers in the Karakoram Mountains had the fastest average flow velocity (0.060 m/d), where the glaciers exhibited the largest average area and average slope. Moreover, glaciers in the Gangdisê Mountains had the slowest velocity (0.022 m/d) and the smallest average glacier area. The glacier flows were the fastest in spring (0.058 m/d), followed by summer (0.050 m/d), autumn (0.041 m/d), and winter (0.040 m/d). In addition, the glacier flows were the maximum in May, being 1.4 times of the annual average velocity. In some areas, such as the Qilian, Altun, Tibetan Interior, Eastern Kunlun, and Western Kunlun mountains, the peak glacier velocities appeared in June and July. The glacier velocity in the HMA region decreased in midsummer and reached the minimum in December when it was 75% of the annual average. These results highlight the role of meltwater in the seasonal variation in glacier flows in late spring and early summer. The seasonal velocity variation of lake-terminating glaciers was similar to that of land-terminating ones, but the former flowed faster. The velocity difference close to the mass balance line between the lake- and land-terminating glaciers was obviously greater in spring than in other seasons. In summer, the difference between the lake- and land-terminating glaciers at a normalized distance of 0.05–0.40 from the terminus was significantly greater than those of other seasons. The velocity difference between the lake- and land-terminating glaciers is closely related to the variable of ice thickness, and also to the frictional force of the terminal base reduced by proglacial lakes. Thus, it can be concluded that in addition to the variation of the glacier thickness and viscosity, the variation of glacier water input also plays a key role in the seasonal variation of glacier velocity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Armstrong W, Anderson R, Fahnestock M. 2017. Spatial patterns of summer speedup on south central Alaska Glaciers. Geophysical Research Letters, 44(18): 9379–9388.

    Article  Google Scholar 

  • Brun F, Berthier E, Wagnon P, et al. 2017. A spatially resolved estimate of High Mountain Asia glacier mass balances, 2000–2016. Nature Geoscience, 10(9): 668–673.

    Article  Google Scholar 

  • Burgess E, Larsen C, Forster R. 2013. Summer melt regulates winter glacier flow speeds throughout Alaska. Geophysical Research Letters, 40(23): 6160–6164.

    Article  Google Scholar 

  • Chen F, Zhang M, Guo H, et al. 2021. Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017. Earth System Science Data, 13(2): 741–766.

    Article  Google Scholar 

  • Cuffey K, Paterson W. 2010. The Physics of Glaciers, Glaciology (4th ed.). Burlington: Elsevier, 285–398.

    Google Scholar 

  • Das S, Sharma M. 2021. Glacier surface velocities in the Jankar Chhu Watershed, western Himalaya, India: Study using Landsat time series data (1992–2020). Remote Sensing Applications: Society and Environment, 24: 100615, doi: https://doi.org/10.1016/j.rsase.2021.100615.

    Article  Google Scholar 

  • Dehecq A, Gourmelen N, Gardner A, et al. 2019. Twenty-first century glacier slowdown driven by mass loss in High Mountain Asia. Nature Geoscience, 12(1): 22–27.

    Article  Google Scholar 

  • Frappé T, Clarke G. 2007. Slow surge of Trapridge Glacier, Yukon Territory, Canada. Journal of Geophysical Research: Earth Surface, 112(F3): F03S32, doi: https://doi.org/10.1029/2006JF000607.

    Article  Google Scholar 

  • Friedl P, Seehaus T, Braun M. 2021. Global time series and temporal mosaics of glacier surface velocities derived from Sentinel-1 data. Earth System Science Data, 13(10): 4653–4675.

    Article  Google Scholar 

  • Fu Y, Liu Q, Liu G, et al. 2022. Seasonal ice dynamics in the lower ablation zone of Dagongba Glacier, southeastern Tibetan Plateau, from multitemporal UAV images. Journal of Glaciology, 68(270): 636–650.

    Article  Google Scholar 

  • Guillet G, King O, Lv M, et al. 2022. A regionally resolved inventory of High Mountain Asia surge-type glaciers, derived from a multi-factor remote sensing approach. The Cryosphere, 16(2): 603–623.

    Article  Google Scholar 

  • Herreid S, Truffer M. 2016. Automated detection of unstable glacier flow and a spectrum of speedup behaviour in the Alaska Range. Journal of Geophysical Research: Earth Surface, 121(1): 64–81.

    Article  Google Scholar 

  • Horgan H, Anderson B, Alley R, et al. 2015. Glacier velocity variability due to rain-induced sliding and cavity formation. Earth and Planetary Science Letters, 432: 273–282.

    Article  Google Scholar 

  • Howat I, Box J, Ahn Y, et al. 2010. Seasonal variability in the dynamics of marine-terminating outlet glaciers in Greenland. Journal of Glaciology, 56(198): 601–613.

    Article  Google Scholar 

  • Immerzeel W, Lutz A, Andrade M, et al. 2019. Importance and vulnerability of the world’s water towers. Nature, 577(7790): 364–369.

    Article  Google Scholar 

  • Kraaijenbrink P, Meijer S, Shea J, et al. 2016. Seasonal surface velocities of a Himalayan glacier derived by automated correlation of unmanned aerial vehicle imagery. Annals of Glaciology, 57(71): 103–113.

    Article  Google Scholar 

  • Kraaijenbrink P, Bierkens M, Lutz A, et al. 2017. Impact of a global temperature rise of 1.5 degrees Celsius on Asia’s glaciers. Nature, 549(7671): 257–260.

    Article  Google Scholar 

  • Liu L, Jiang L, Sun Y, et al. 2019. Diurnal fluctuations of glacier surface velocity observed with terrestrial radar interferometry at Laohugou No. 12 Glacier, western Qilian Mountains, China. Journal of Glaciology, 65(250): 239–248.

    Article  Google Scholar 

  • Lüttig C, Neckel N, Humbert A. 2017. A combined approach for filtering ice surface velocity fields derived from remote sensing methods. Remote Sensing, 9(10): 1062, doi: https://doi.org/10.3390/rs9101062.

    Article  Google Scholar 

  • Maussion F, Butenko A, Champollion N, et al. 2019. The open global glacier model (OGGM) v1.1. Geoscientific Model Development, 12(3): 909–931.

    Article  Google Scholar 

  • Nie Y, Pritchard H, Liu Q, et al. 2021. Glacial change and hydrological implications in the Himalaya and Karakoram. Nature Reviews Earth & Environment, 2(2): 91–106.

    Article  Google Scholar 

  • Paul F, Bolch T, Kääb A, et al. 2015. The glaciers climate change initiative: Methods for creating glacier area, elevation change and velocity products. Remote Sensing of Environment, 162: 408–426.

    Article  Google Scholar 

  • Pritchard H. 2019. Asia’s shrinking glaciers protect large populations from drought stress. Nature, 569(7758): 649–654.

    Article  Google Scholar 

  • Pronk J, Bolch T, King O, et al. 2021. Contrasting surface velocities between lake- and land-terminating glaciers in the Himalayan Region. The Cryosphere, 15(12): 5577–5599.

    Article  Google Scholar 

  • RGI (Randolph Glacier Inventory). 2017. Randolph Glacier Inventory–Dataset of Global Glacier Outlines, Version 6. Boulder: National Snow and Ice Data Center, 3–16.

    Google Scholar 

  • Sam L, Bhardwaj A, Kumar R, et al. 2018. Heterogeneity in topographic control on velocities of Western Himalayan glaciers. Scientific Reports, 8(1): 12843, doi: https://doi.org/10.1038/s41598-018-31310-y.

    Article  Google Scholar 

  • Samsonov S, Tiampo K, Cassotto R. 2021. SAR-derived flow velocity and its link to glacier surface elevation change and mass balance. Remote Sensing of Environment, 258: 112343, doi: https://doi.org/10.1016/j.rse.2021.112343.

    Article  Google Scholar 

  • Sanchez-Gamez P, Navarro F. 2017. Glacier surface velocity retrieval using D-InSAR and offset tracking techniques applied to ascending and descending passes of Sentinel-1 data for southern Ellesmere Ice Caps, Canadian Arctic. Remote Sensing, 9(5): 442, doi: https://doi.org/10.3390/rs9050442.

    Article  Google Scholar 

  • Schaffer N, Copland L, Zdanowicz C. 2017. Ice velocity changes on Penny Ice Cap, Baffin Island, since the 1950s. Journal of Glaciology, 63(240): 716–730.

    Article  Google Scholar 

  • Schellenberger T, Dunse T, Kääb A, et al. 2015. Surface speed and frontal ablation of Kronebreen and Kongsbreen, NW Svalbard, from SAR offset tracking. The Cryosphere, 9(6): 2339–2355.

    Article  Google Scholar 

  • Shen C, Jia L, Ren S. 2022. Inter- and intra-annual glacier elevation change in High Mountain Asia region based on ICESat-1&2 Data using elevation-aspect bin analysis method. Remote Sensing, 14(7): 1630, doi: https://doi.org/10.3390/rs14071630.

    Article  Google Scholar 

  • Singh D, Thakur P, Naithani B. 2021. Spatio-temporal analysis of glacier surface velocity in Dhauliganga basin using geo-spatial techniques. Environmental Earth Sciences, 80(1): 11, doi: https://doi.org/10.1007/s12665-020-09283-x.

    Article  Google Scholar 

  • Sun Y, Jiang L, Liu L, et al. 2017. Spatial-temporal characteristics of glacier velocity in the central Karakoram revealed with 1999–2003 Landsat-7 ETM+ pan images. Remote Sensing, 9(10): 1064, doi: https://doi.org/10.3390/rs9101064.

    Article  Google Scholar 

  • Usman M, Furuya M. 2018. Interannual modulation of seasonal glacial velocity variations in the Eastern Karakoram detected by ALOS-1/2 data. Journal of Glaciology, 64(245): 465–476.

    Article  Google Scholar 

  • Wegnüller U, Werner C, Strozzi T, et al. 2016. Sentinel-1 support in the GAMMA software. Procedia Computer Science, 100: 1305–1312.

    Article  Google Scholar 

  • Wendleder A, Friedl P, Mayer C. 2018. Impacts of climate and supraglacial lakes on the surface velocity of Baltoro glacier from 1992 to 2017. Remote Sensing, 10(11): 1681, doi: https://doi.org/10.3390/rs10111681.

    Article  Google Scholar 

  • Wu K, Liu S, Zhu Y, et al. 2020. Dynamics of glacier surface velocity and ice thickness for maritime glaciers in the southeastern Tibetan Plateau. Journal of Hydrology, 590: 125527, doi: https://doi.org/10.1016/j.jhydrol.2020.125527.

    Article  Google Scholar 

  • Yan S, Li Y, Li Z, et al. 2018. An insight into the surface velocity of Inylchek Glacier and its effect on Lake Merzbacher during 2006–2016 with Landsat time-series imagery. Environmental Earth Sciences, 77: 773, doi: https://doi.org/10.1007/s12665-018-7964-7.

    Article  Google Scholar 

  • Yan X, Ma J, Ma X, et al. 2021. Hydrothermal combination and geometry control the spatial and temporal rhythm of glacier flow. Science of the Total Environment, 760: 144315, doi: https://doi.org/10.1016/j.scitotenv.2020.144315.

    Article  Google Scholar 

  • Yang R, Hock R, Kang S, et al. 2022. Glacier surface speed variations on the Kenai Peninsula, Alaska, 2014–2019. Journal of Geophysical Research: Earth Surface, 127(3): 1–22.

    Google Scholar 

  • Yang W, Zhao C, Westoby M, et al. 2020. Seasonal dynamics of a temperate Tibetan glacier revealed by high-resolution UAV photogrammetry and in situ measurements. Remote Sensing, 12(15): 2389, doi: https://doi.org/10.3390/rs12152389.

    Article  Google Scholar 

  • Yao T, Thompson L, Yang W, et al. 2012. Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nature Climate Change, 2(9): 663–667.

    Article  Google Scholar 

  • Zhang J, Jia L, Menenti M, et al. 2020. Interannual and seasonal variability of glacier surface velocity in the Parlung Zangbo Basin, Tibetan Plateau. Remote Sensing, 13(1): 80, doi: https://doi.org/10.3390/rs13010080.

    Article  Google Scholar 

  • Zhang Z, Gu Z, Hu K, et al. 2022a. Spatial variability between glacier mass balance and environmental factors in the High Mountain Asia. Journal of Arid Land, 14(4): 441–454.

    Article  Google Scholar 

  • Zhang Z, Tao P, Liu S, et al. 2022b. What controls the surging of Karayaylak glacier in eastern Pamir?. New insights from remote sensing data. Journal of Hydrology, 607: 127577, doi: https://doi.org/10.1016/j.jhydrol.2022.127577.

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by the Major Project on Natural Science Foundation of Universities in Anhui Province (2022AH040111) and the National Natural Science Foundation of China (42071085, 41701087).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhen Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Z., Xu, Y., Liu, S. et al. Seasonal variations in glacier velocity in the High Mountain Asia region during 2015–2020. J. Arid Land 15, 637–648 (2023). https://doi.org/10.1007/s40333-023-0016-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40333-023-0016-5

Keywords

Navigation