Open Access Open Access  Restricted Access Subscription Access

Estimation of Snow Accumulation on Samudra Tapu Glacier, Western Himalaya Using Airborne Ground Penetrating Radar


Affiliations
1 Snow and Avalanche Study Establishment, Chandigarh 160 036, India
2 National Institute of Technology, Kurukshetra 136 119, India
3 Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, India
 

In this study an airborne ground penetrating radar (GPR) is used to estimate spatial distribution of snow accumulation in the Samudra Tapu glacier (the Great Himalayan Range), Western Himalaya, India. An impulse radar system with 350 MHz antenna was mounted on a helicopter for the estimation of snow depth. The dielectric properties of snow were measured at a representative site (Patseo Observatory) using a snow fork to calibrate GPR data. The snow depths estimated from GPR signal were found to be in good agreement with those measured on ground with an absolute error of 0.04 m. The GPR survey was conducted over Samudra Tapu glacier in March 2009 and 2010. A kriging-based geostatistical interpolation method was used to generate a spatial snow accumulation map of the glacier with the GPR-collected data. The average accumulated snow depth and snow water equivalent (SWE) for a part of the glacier were found to be 2.23 m and 0.624 m for 2009 and 2.06 m and 0.496 m for 2010 respectively. Further, the snow accumulation data were analysed with various topographical parameters such as altitude, aspect and slope. The accumulated snow depth showed good correlation with altitude, having correlation coefficient varying between 0.57 and 0.84 for different parts of the glacier. Higher snow accumulation was observed in the north- and east-facing regions, and decrease in snow accumulation was found with an increase in the slope of the glacier. Thus, in this study we generate snow accumulation/SWE information using airborne GPR in the Himalayan terrain.

Keywords

Glacier, Ground Penetrating Radar, Snow Accumulation, Snow Water Equivalent.
User
Notifications
Font Size

  • Bolch, T. et al., The state and fate of Himalayan glaciers. Science, 2012, 336, 310–314; doi: 10.1126/science.1215828
  • Kulkarni, A. V., Bahuguna, I. M., Rathore, B. P., Singh, S. K., Randhawa, S. S., Sood, R. K. and Dhar, S., Glacial retreat in Himalayas using Indian remote sensing satellite data. Curr. Sci., 2007, 92, 69–74.
  • Lau, W. K. M., Kim, M. K., Kim, K. M. and Lee, W. S., Enhanced surface warming and accelerated snow melt in the Himalayas and Tibetan Plateau induced by absorbing aerosols. Environ. Res. Lett., 2010, 5; doi:10.1088/1748-9326/5/2/025204
  • Cogley, J. G., Present and future states of Himalaya and Karakoram glaciers. Ann. Glaciol., 2011, 52, 69–73.
  • Gurung, D. R., Kulkarni, A. V., Giriraj, A., Aung, K. S. and Shrestha, B., Monitoring of seasonal snow cover in Bhutan using remote sensing technique. Curr. Sci., 2011, 101(10), 1364–1370.
  • Vincent, C. et al., Balanced conditions or slight mass gain of glaciers in the Lahaul and Spiti region (northern India, Himalaya) during the nineties preceded recent mass loss. Cryosphere, 2013, 7, 569–582.
  • IPCC, Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Edenhofer, O. et al.), Cambridge University Press, Cambridge, United Kingdom, 2014.
  • Lozej, A. and Tabacco, I., Radio echo sounding on Strandline Glacier, Terra Nova Bay (Antarctica). Boll. Geofis. Teor. Appl., 1993, 35, 231–244.
  • Holmund, P., Radar measurement of annual snow accumulation rates. Z. Gletscherkd. Glazialgeol., 1996, 32, 193–196.
  • Marshall, H. P. and Koh, G., FMCW radars for snow research. Cold Reg. Sci. Technol., 2008, 52, 118–131.
  • Peduzzi, P., Herold, C. and Silverio, W., Assessing high altitude glacier thickness, volume and area changes using field, GIS and remote sensing techniques: the case of Nevado Coropuna (Peru). Cryosphere, 2010, 4, 313–323.
  • Mitterer, C., Heilig, A., Schweizer, J. and Eisen, O., Upwardlooking ground-penetrating radar for measuring wet-snow properties. Cold Reg. Sci. Technol., 2011, 69, 129–138.
  • Williams, R. M., Ray, L. E., Lever, J. H. and Burzynski, A. M., Crevasse detection in ice sheets using ground penetrating radar and machine learning. IEEE J. Sel. Top. Appl. Earth Obs., 2014, 7, 4836–4848.
  • Schmid, L., Heilig, A., Mitterer, C., Schweizer, J., Maurer, H., Okorn, R. and Eisen, O., Continuous snowpack monitoring using upward-looking ground-penetrating radar technology. J. Glaciol., 2014, 60, 509–525; doi:10.3189/2014JoG13J084
  • Van Pelt, W. J. J., Pettersson, R., Pohjola, V. A., Marchenko, S., Claremar, B. and Oerlemans, J., Inverse estimation of snow accumulation along a radar transect on Nordenskiöldbreen, Svalbard. J. Geophys. Res.: Earth Surf., 2014, 119, 816–835; doi:10.1002/2013JF003040
  • Singh, K. K., Datt, P., Sharma, V., Ganju, A., Mishra, V. D., Parashar, A. and Chauhan, R., Snow depth and snow layer interface estimation using GPR. Curr. Sci., 2011, 100, 1532–1539.
  • Loveson, V. J., Khare, R., Mayappan, S. and Gujar, A. R., Remote-sensing perspective and GPR subsurface perception on the growth of a recently emerged spit at Talashil coast, west coast of India. GISci. Remote Sensing, 2014, 51, 644–661.
  • Forte, E., Dossi, M., Colucci, R. R. and Pipan, M., A new fast methodology to estimate the density of frozen materials by means of common offset GPR data. J. Appl. Geophys., 2013, 99, 135–145; doi:10.1016/j.jappgeo.2013.08.013
  • Forte, E., Dossi, M., Pipan, M. and Colucci, R. R., Velocity analysis from common offset GPR data inversion: theory and application on synthetic and real data. Geophys. J. Int., 2014, 197(3), 1471–1483; doi:10.1093/gji/ggu103
  • Colucci, R. R., Forte, E., Boccali, C., Dossi, M., Lanza, L., Pipan, M. and Guglielmin, M., Evaluation of internal structure, volume and mass of glacial bodies by integrated LiDAR and ground penetrating radar (GPR) surveys: the case study of Canin Eastern Glacieret (Julian Alps, Italy). Surv. Geophys., 2015, 36, 231–525; doi:10.1007/s10712-014-9311-1
  • Machguth, H., Eisen, O., Paul, F. and Hoelzle, M., Strong spatial variability of snow accumulation observed with helicopter-borne GPR on two adjacent Alpine glaciers. Geophys. Res. Lett., 2006, 33, L13503; doi:10.1029/2006GL026576
  • Sold, L., Huss, M., Hoelzle, M., Andereggen, H., Joerg, P. C. and Zemp, M., Methodological approaches to infer end-of-winter snow distribution on alpine glaciers. J. Glaciol., 2013, 59, 1047–1059; doi:10.3189/2013JoG13J015
  • Conway, H., Smith, B., Vaswani, P., Matsuoka, K., Rignot, E. and Claus, P., A low frequency ice-penetrating radar system adopted for use from an airplane: test results from Bering and Malaspina glacier, Alaska, USA. Ann. Glaciol., 2009, 51, 93–104.
  • Das, I. et al., Influence of persistent wind-scour on the surface mass balance of Antarctica. Nature Geosci., 2013, 6, 367–371.
  • Bell, R. E. et al., Widespread persistent thickening of the East Antarctic Ice Sheet by freezing from the base. Science, 2011, 331, 1592–1595.
  • Arcone, S. A., Jacobel, R. and Hamilton, G., Unconformable stratigraphy in East Antarctica: Part 1. Large firncosets, recrystallized growth, and model evidence for intensified accumulation. J. Glaciol., 2012, 58, 240–252.
  • Gergen, J. T., Dobhal, D. P. and Kaushik, R., Ground penetrating radar ice thickness measurements of Dokrianibamak (glacier), Garhwal Himalaya. Curr. Sci., 1999, 77, 169–173.
  • Singh, K. K., Kulkarni, A. V. and Mishra, V. D., Estimation of glacier depth and moraine cover study using ground penetrating radar (GPR) in the Himalayan region. J. Indian Soc. Remote Sensing, 2010, 38, 1–9.
  • Azam, M. F. et al., From balance to imbalance: a shift in the dynamic behavior of Chhota Shigri glacier, western Himalaya, India. J. Glaciol., 2012, 58, 315–324.
  • Singh, S. K., Rathore, B. P., Bahuguna, I. M., Ramnathan, A. L. and Ajai, Estimation of glacier ice thickness using ground penetrating radar in the Himalayan region. Curr. Sci., 2012, 103, 68–73.
  • Negi, H. S., Mishra, V. D., Singh, K. K. and Mathur, P., Application of ground penetrating radar for snow, ice and glacier studies. In Proceedings of the International Symposium on Snow Monitoring and Avalanches, Snow and Avalanche Study Establishment, Manali, 12–16 April 2004.
  • Negi, H. S., Snehmani, Thakur, N. K. and Sharma, J. K., Estimation of snow depth and detection of buried objects using airborne ground penetrating radar in Indian Himalaya. Curr. Sci., 2008, 94, 865–870.
  • Gusain, H. S., Singh, A., Ganju, A. and Singh, D., Characteristics of the seasonal snow cover of Pir Panjal and Great Himalayan ranges in Indian Himalaya. In Proceedings of the International Symposium on Snow Monitoring and Avalanches, Manali, 12–16 April 2004.
  • Gusain, H. S., Chand, D., Thakur, N. K., Singh, A. and Ganju, A., Snow avalanche climatology of Indian Western Himalaya. In Proceedings of the International Symposium on Snow and Avalanches, SASE Manali, 6–10 April 2009.
  • Sharma, S. S. and Ganju, A., Complexities of avalanche forecasting in Western Himalaya – an overview. Cold Reg. Sci. Technol., 2000, 31, 95–102.
  • Jaedicke, C., Snow mass quantification and avalanche victim search by ground penetrating radar. Surv. Geophys., 2003, 24, 431–445.
  • Daniels, D., Ground Penetrating Radar – 2nd Edition, The Institution of Electrical Engineers, London, 2004.
  • Sihvola, A. and Tiuri, M., Snow fork for field determination of the density and wetness profiles of a snowpack. IEEE Trans. Geosci. Remote Sensing, 1986, 24, 717–721.
  • User/Technical Manual of Snow Fork, the Portable Snow Properties Measuring Instrument, Ins. Toimisto Toikka Oy, Hannuntie 18,02360 Espoo, Finland, 2010.
  • Hengl, T., A Practical Guide to Geostatistical Mapping (2nd extended edn). 2009; http://spatial-analyst.net/book/system/files/Hengl_2009_GEOSTATe2c1w.pdf
  • Heilig, A., Schneebeli, M. and Eisen, O., Upward looking ground penetrating radar for monitoring snowpack starigraphy. Cold Reg. Sci. Technol., 2009, 59, 152–162.
  • Ambach, W. and Denoth, A., The dielectric behavior of snow: a study versus liquid water content. In NASA Workshop on Microwave Remote Sensing of Snowpack Properties (ed. Rango, A.), NASA Conference Publication, 1980, NASA CP-2153, pp. 59–62.
  • Johnson, G. L. and Hanson, C. L., Topographic and atmospheric influences on precipitation variability over a mountainous watershed. J. Appl. Meteorol., 1995, 34, 68–87; doi:10.1175/15200450-34.1.68
  • Roe, G. H. and Baker, M. B., Microphysical and geometrical controls on the pattern of orographic precipitation. J. Atmos. Sci., 2006, 63, 861–880; doi:10.1175/jas3619.1
  • Farinotti, D., Magnusson, J., Huss, M. and Bauder, A., Snow accumulation distribution inferred from time-lapse photography and simple modelling. Hydrol. Process., 2010, 24, 2087–2097; doi:10.1002/hyp.7629
  • Asaoka, Y. and Kominami, Y., Spatial snowfall distribution in mountainous areas estimated with a snow model and satellite remote sensing. Hydrol. Res. Lett., 2012, 6, 1–6.
  • Grünewald, T., Bühler, Y. and Lehning, M., Elevation dependency of mountain snow depth. Cryosphere, 2014, 8, 2381–2394, doi:10.5194/tc-8-2381-2014
  • Kirchner, P. B., Bales, R. C., Molotch, N. P., Flanagan, J. and Guo, Q., LiDAR measurement of seasonal snow accumulation along an elevation gradient in the southern Sierra Nevada, California. Hydrol. Earth Syst. Sci., 2014, 18, 4261–4275.
  • Jain, S. K., Goswami, A. and Saraf, A. K., Accuracy assessment of MODIS, NOAA and IRS data in snow cover mapping under Himalayan conditions. Int. J. Remote Sensing, 2008, 29, 5863–5878.
  • SASE Annual Technical Reports, 2009 and 2010, Snow and Avalanche Study Establishment, Manali.

Abstract Views: 373

PDF Views: 135




  • Estimation of Snow Accumulation on Samudra Tapu Glacier, Western Himalaya Using Airborne Ground Penetrating Radar

Abstract Views: 373  |  PDF Views: 135

Authors

K. K. Singh
Snow and Avalanche Study Establishment, Chandigarh 160 036, India
H. S. Negi
Snow and Avalanche Study Establishment, Chandigarh 160 036, India
A. Kumar
National Institute of Technology, Kurukshetra 136 119, India
A. V. Kulkarni
Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, India
S. K. Dewali
Snow and Avalanche Study Establishment, Chandigarh 160 036, India
P. Datt
Snow and Avalanche Study Establishment, Chandigarh 160 036, India
A. Ganju
Snow and Avalanche Study Establishment, Chandigarh 160 036, India
S. Kumar
Snow and Avalanche Study Establishment, Chandigarh 160 036, India

Abstract


In this study an airborne ground penetrating radar (GPR) is used to estimate spatial distribution of snow accumulation in the Samudra Tapu glacier (the Great Himalayan Range), Western Himalaya, India. An impulse radar system with 350 MHz antenna was mounted on a helicopter for the estimation of snow depth. The dielectric properties of snow were measured at a representative site (Patseo Observatory) using a snow fork to calibrate GPR data. The snow depths estimated from GPR signal were found to be in good agreement with those measured on ground with an absolute error of 0.04 m. The GPR survey was conducted over Samudra Tapu glacier in March 2009 and 2010. A kriging-based geostatistical interpolation method was used to generate a spatial snow accumulation map of the glacier with the GPR-collected data. The average accumulated snow depth and snow water equivalent (SWE) for a part of the glacier were found to be 2.23 m and 0.624 m for 2009 and 2.06 m and 0.496 m for 2010 respectively. Further, the snow accumulation data were analysed with various topographical parameters such as altitude, aspect and slope. The accumulated snow depth showed good correlation with altitude, having correlation coefficient varying between 0.57 and 0.84 for different parts of the glacier. Higher snow accumulation was observed in the north- and east-facing regions, and decrease in snow accumulation was found with an increase in the slope of the glacier. Thus, in this study we generate snow accumulation/SWE information using airborne GPR in the Himalayan terrain.

Keywords


Glacier, Ground Penetrating Radar, Snow Accumulation, Snow Water Equivalent.

References





DOI: https://doi.org/10.18520/cs%2Fv112%2Fi06%2F1208-1218