Distributed ice thickness and volume of all glaciers around the globe
A new physically based approach for calculating glacier ice thickness distribution and volume is presented and applied to all glaciers and ice caps worldwide. Combining glacier outlines of the globally complete Randolph Glacier Inventory with terrain elevation models (Shuttle Radar Topography Missio...
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| Published in | Journal of Geophysical Research: Earth Surface Vol. 117; no. F4 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Washington, DC
Blackwell Publishing Ltd
01.12.2012
American Geophysical Union |
| Subjects | |
| Online Access | Get full text |
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| Abstract | A new physically based approach for calculating glacier ice thickness distribution and volume is presented and applied to all glaciers and ice caps worldwide. Combining glacier outlines of the globally complete Randolph Glacier Inventory with terrain elevation models (Shuttle Radar Topography Mission/Advanced Spaceborne Thermal Emission and Reflection Radiometer), we use a simple dynamic model to obtain spatially distributed thickness of individual glaciers by inverting their surface topography. Results are validated against a comprehensive set of thickness observations for 300 glaciers from most glacierized regions of the world. For all mountain glaciers and ice caps outside of the Antarctic and Greenland ice sheets we find a total ice volume of 170 × 103 ± 21 × 103 km3, or 0.43 ± 0.06 m of potential sea level rise.
Key Points
First ice volume assessment of all individual glaciers around the globe
Novel methodology to estimate glacier ice thickness distribution
Potential sea level rise of 170,000 glaciers and ice caps worldwide is 0.43 m |
|---|---|
| AbstractList | A new physically based approach for calculating glacier ice thickness distribution and volume is presented and applied to all glaciers and ice caps worldwide. Combining glacier outlines of the globally complete Randolph Glacier Inventory with terrain elevation models (Shuttle Radar Topography Mission/Advanced Spaceborne Thermal Emission and Reflection Radiometer), we use a simple dynamic model to obtain spatially distributed thickness of individual glaciers by inverting their surface topography. Results are validated against a comprehensive set of thickness observations for 300 glaciers from most glacierized regions of the world. For all mountain glaciers and ice caps outside of the Antarctic and Greenland ice sheets we find a total ice volume of 170 × 10
3
± 21 × 10
3
km
3
, or 0.43 ± 0.06 m of potential sea level rise.
First ice volume assessment of all individual glaciers around the globe
Novel methodology to estimate glacier ice thickness distribution
Potential sea level rise of 170,000 glaciers and ice caps worldwide is 0.43 m A new physically based approach for calculating glacier ice thickness distribution and volume is presented and applied to all glaciers and ice caps worldwide. Combining glacier outlines of the globally complete Randolph Glacier Inventory with terrain elevation models (Shuttle Radar Topography Mission/Advanced Spaceborne Thermal Emission and Reflection Radiometer), we use a simple dynamic model to obtain spatially distributed thickness of individual glaciers by inverting their surface topography. Results are validated against a comprehensive set of thickness observations for 300 glaciers from most glacierized regions of the world. For all mountain glaciers and ice caps outside of the Antarctic and Greenland ice sheets we find a total ice volume of 170 × 103 ± 21 × 103 km3, or 0.43 ± 0.06 m of potential sea level rise. Key Points First ice volume assessment of all individual glaciers around the globe Novel methodology to estimate glacier ice thickness distribution Potential sea level rise of 170,000 glaciers and ice caps worldwide is 0.43 m A new physically based approach for calculating glacier ice thickness distribution and volume is presented and applied to all glaciers and ice caps worldwide. Combining glacier outlines of the globally complete Randolph Glacier Inventory with terrain elevation models (Shuttle Radar Topography Mission/Advanced Spaceborne Thermal Emission and Reflection Radiometer), we use a simple dynamic model to obtain spatially distributed thickness of individual glaciers by inverting their surface topography. Results are validated against a comprehensive set of thickness observations for 300 glaciers from most glacierized regions of the world. For all mountain glaciers and ice caps outside of the Antarctic and Greenland ice sheets we find a total ice volume of 170 × 103 ± 21 × 103 km3, or 0.43 ± 0.06 m of potential sea level rise. |
| Author | Farinotti, Daniel Huss, Matthias |
| Author_xml | – sequence: 1 givenname: Matthias surname: Huss fullname: Huss, Matthias email: matthias.huss@unifr.ch, matthias.huss@unifr.ch organization: Department of Geosciences, University of Fribourg, Fribourg, Switzerland – sequence: 2 givenname: Daniel surname: Farinotti fullname: Farinotti, Daniel organization: Laboratory of Hydraulics, Hydrology and Glaciology, ETH Zurich, Zurich, Switzerland |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26842266$$DView record in Pascal Francis |
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| Copyright | 2012. American Geophysical Union. All Rights Reserved. 2014 INIST-CNRS Copyright American Geophysical Union 2012 |
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| Keywords | Terra satellite thickness Space remote sensing topography Satellite observation ice Valley glaciar inventory Polar orbiting satellite ice sheets Radar observation radiometry ice caps Polar region Dynamic model radar methods sea level |
| Language | English |
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| PublicationTitle | Journal of Geophysical Research: Earth Surface |
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| Publisher | Blackwell Publishing Ltd American Geophysical Union |
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| References | Jóhannesson, T., C. Raymond, and E. Waddington (1989), Time-scale for adjustment of glaciers to changes in mass balance, J. Glaciol., 35(121), 355-369. Dowdeswell, J. A., et al. (2002), Form and flow of the Academy of Sciences Ice Cap, Severnaya Zemlya, Russian High Arctic, J. Geophys. Res., 107(B4), 2076, doi:10.1029/2000JB000129. Hoelzle, M., W. Haeberli, M. Dischl, and W. Peschke (2003), Secular glacier mass balances derived from cumulative glacier length changes, Global Planet. Change, 36(4), 295-306. Gudmundsson, G. H. (1999), A three-dimensional numerical model of the confluence area of Unteraargletscher, Bernese Alps, Switzerland, J. Glaciol., 45(150), 219-230. Kamb, B., and K. A. Echelmeyer (1986), Stress-gradient coupling in glacier flow: I. Longitudinal averaging of the influence of ice thickness and surface slope, J. Glaciol., 32, 267-284. Bahr, D. B., M. F. Meier, and S. D. Peckham (1997), The physical basis of glacier volume-area scaling, J. Geophys. Res., 102(B9), 20,355-20,362, doi:10.1029/97JB01696. Kalnay, E., et al. (1996), The NCEP/NCAR 40-Year Reanalysis Project, Bull. Am. Meteorol. Soc., 77, 437-472. Paterson, W. S. B. (1970), The sliding velocity of Athabasca Glacier, Canada, J. Glaciol., 9, 55-63. Li, H., F. Ng, Z. Li, D. Qin, and G. Cheng (2012), An extended "perfect-plasticity" method for estimating ice thickness along the flow line of mountain glaciers, J. Geophys. Res., 117, F01020, doi:10.1029/2011JF002104. Nolan, M., R. J. Motyka, K. Echelmeyer, and D. C. Trabant (1995), Ice-thickness measurements of Taku Glacier, Alaska, U.S.A., and their relevance to its recent behavior, J. Glaciol., 41, 541-553. Glen, J. W. (1955), The creep of polycrystalline ice, Proc. R. Soc. London, 228(1175), 519-538. Cuffey, K. M., and W. S. B. Paterson (2010), The Physics of Glaciers, 4th ed., 704 pp., Butterworth-Heinemann, Oxford, U. K. Linsbauer, A., F. Paul, and W. Haeberli (2012), Modeling glacier thickness distribution and bed topography over entire mountain ranges with GlabTop: Application of a fast and robust approach, J. Geophys. Res., 117, F03007, doi:10.1029/2011JF002313. Fujita, K., R. Suzuki, T. Nuimura, and A. Sakai (2008), Performance of ASTER and SRTM DEMs, and their potential for assessing glacial lakes in the Lunana region, Bhutan Himalaya, J. Glaciol., 54, 220-228. Frey, H., and F. Paul (2012), On the suitability of the SRTM DEM and ASTER GDEM for the compilation of topographic parameters in glacier inventories, Int. J. Appl. Earth Obs. Geoinf., 18, 480-490, doi:10.1016/j.jag.2011.09.020. Radić, V., and R. Hock (2011), Regionally differentiated contribution of mountain glaciers and ice caps to future sea-level rise, Nat. Geosci., 4, 91-94, doi:10.1038/ngeo1052. Farinotti, D., M. Huss, A. Bauder, and M. Funk (2009a), An estimate of the glacier ice volume in the Swiss Alps, Global Planet. Change, 68(3), 225-231. Haeberli, W., and M. Hoelzle (1995), Application of inventory data for estimating characteristics of and regional climate-change effects on mountain glaciers: A pilot study with the European Alps, Ann. Glaciol., 21, 206-212. Hagen, J. O., K. Melvold, F. Pinglot, and J. A. Dowdeswell (2003), On the net mass balance of the glaciers and ice caps in Svalbard, Norwegian Arctic, Arct. Antarct. Alp. Res., 35, 264-270. Rastner, P. N., T. Mölg, H. Machguth, and F. Paul (2012), The first complete glacier inventory for the whole of Greenland, Cryosphere Discuss., 6(4), 2399-2436. Ohmura, A. (2010), Completing the World Glacier Inventory, Ann. Glaciol., 50(53), 144-148. Williamson, S., M. Sharp, J. Dowdeswell, and T. Benham (2008), Iceberg calving rates from northern Ellesmere Island ice caps, Canadian Arctic, 1999-2003, J. Glaciol., 54, 391-400, doi:10.3189/002214308785837048. Nye, J. F. (1965), The flow of a glacier in a channel of rectangular, elliptic or parabolic cross-section, J. Glaciol., 5(41), 661-690. Meier, M. F., M. B. Dyurgerov, U. K. Rick, S. O'Neel, W. T. Pfeffer, R. S. Anderson, S. P. Anderson, and A. F. Glazovsky (2007), Glaciers dominate eustatic sea-level rise in the 21st century, Science, 317(5841), 1064-1067, doi:10.1126/science.1143906. Raper, S. C. B., and R. J. Braithwaite (2005), The potential for sea level rise: New estimates from glacier and ice cap area and volume distributions, Geophys. Res. Lett., 32, L05502, doi:10.1029/2004GL021981. Radić, V., and R. Hock (2010), Regional and global volumes of glaciers derived from statistical upscaling of glacier inventory data, J. Geophys. Res., 115, F01010, doi:10.1029/2009JF001373. Raup, B., A. Racoviteanu, S. J. S. Khalsa, C. Helm, R. Armstrong, and Y. Arnaud (2007), The GLIMS geospatial glacier database: A new tool for studying glacier change, Global Planet. Change, 56, 101-110. Azam, M. F., et al. (2012), From balance to imbalance: A shift in the dynamic behaviour of Chhota Shigri glacier, western Himalaya, India, J. Glaciol., 58(208), 315-324, doi:10.3189/2012JoG11J123. Clarke, G. K. C., E. Berthier, C. G. Schoof, and A. H. Jarosch (2009), Neural networks applied to estimating subglacial topography and glacier volume, J. Clim., 22, 2146-2160, doi:10.1175/2008JCLI2572.1. Macheret, Y., P. Cherkasov, and L. Bobrova (1988), Tolshchina i ob'em lednikov Dzhungarskogo Alatau po dannym aeroradiozondirovaniya, Mater. Glyatsiologicheskikh Issled., 62, 60-71. Oerlemans, J., and J. P. F. Fortuin (1992), Sensitivity of glaciers and small ice caps to greenhouse warming, Science, 258(5079), 115-117, doi:10.1126/science.258.5079.115. Huang, M. (1990), On the temperature distribution of glaciers in China, J. Glaciol., 36(123), 210-216. Cogley, J. G., et al. (2011), Glossary of Glacier Mass Balance and Related Terms, IHP-VII Tech. Doc. Hydrol., vol. 86, UNESCO, Paris. Farinotti, D., M. Huss, A. Bauder, M. Funk, and M. Truffer (2009b), A method for estimating the ice volume and ice thickness distribution of alpine glaciers, J. Glaciol., 55(191), 422-430. 1970; 9 2009; 22 2009; 68 1990; 36 2012 2010 1986; 32 2003; 35 1999; 45 2003; 36 2008 2005 2012; 18 2008; 54 2012; 58 2011; 4 2007; 56 1996; 77 1997; 102 2009; 55 1995; 41 2007; 317 1955; 228 2010; 115 1965; 5 1995; 21 1992; 258 2011; 86 1990; 193 2002; 107 2005; 32 1988; 62 2012; 6 1989; 35 2012; 117 2010; 50 Chen J. (e_1_2_8_5_1) 1990 e_1_2_8_29_1 e_1_2_8_24_1 e_1_2_8_25_1 e_1_2_8_26_1 e_1_2_8_27_1 Macheret Y. (e_1_2_8_28_1) 1988; 62 e_1_2_8_3_1 e_1_2_8_2_1 e_1_2_8_4_1 e_1_2_8_7_1 Cuffey K. M. (e_1_2_8_9_1) 2010 e_1_2_8_6_1 e_1_2_8_8_1 e_1_2_8_20_1 e_1_2_8_22_1 e_1_2_8_23_1 e_1_2_8_41_1 e_1_2_8_40_1 e_1_2_8_17_1 e_1_2_8_18_1 e_1_2_8_39_1 e_1_2_8_19_1 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_14_1 e_1_2_8_35_1 e_1_2_8_15_1 e_1_2_8_38_1 e_1_2_8_16_1 e_1_2_8_37_1 Huang M. (e_1_2_8_21_1) 1990; 36 e_1_2_8_32_1 e_1_2_8_10_1 e_1_2_8_31_1 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_12_1 e_1_2_8_33_1 e_1_2_8_30_1 |
| References_xml | – reference: Glen, J. W. (1955), The creep of polycrystalline ice, Proc. R. Soc. London, 228(1175), 519-538. – reference: Meier, M. F., M. B. Dyurgerov, U. K. Rick, S. O'Neel, W. T. Pfeffer, R. S. Anderson, S. P. Anderson, and A. F. Glazovsky (2007), Glaciers dominate eustatic sea-level rise in the 21st century, Science, 317(5841), 1064-1067, doi:10.1126/science.1143906. – reference: Farinotti, D., M. Huss, A. Bauder, and M. Funk (2009a), An estimate of the glacier ice volume in the Swiss Alps, Global Planet. Change, 68(3), 225-231. – reference: Nolan, M., R. J. Motyka, K. Echelmeyer, and D. C. Trabant (1995), Ice-thickness measurements of Taku Glacier, Alaska, U.S.A., and their relevance to its recent behavior, J. Glaciol., 41, 541-553. – reference: Cogley, J. G., et al. (2011), Glossary of Glacier Mass Balance and Related Terms, IHP-VII Tech. Doc. Hydrol., vol. 86, UNESCO, Paris. – reference: Fujita, K., R. Suzuki, T. Nuimura, and A. Sakai (2008), Performance of ASTER and SRTM DEMs, and their potential for assessing glacial lakes in the Lunana region, Bhutan Himalaya, J. Glaciol., 54, 220-228. – reference: Farinotti, D., M. Huss, A. Bauder, M. Funk, and M. Truffer (2009b), A method for estimating the ice volume and ice thickness distribution of alpine glaciers, J. Glaciol., 55(191), 422-430. – reference: Oerlemans, J., and J. P. F. Fortuin (1992), Sensitivity of glaciers and small ice caps to greenhouse warming, Science, 258(5079), 115-117, doi:10.1126/science.258.5079.115. – reference: Raup, B., A. Racoviteanu, S. J. S. Khalsa, C. Helm, R. Armstrong, and Y. Arnaud (2007), The GLIMS geospatial glacier database: A new tool for studying glacier change, Global Planet. Change, 56, 101-110. – reference: Jóhannesson, T., C. Raymond, and E. Waddington (1989), Time-scale for adjustment of glaciers to changes in mass balance, J. Glaciol., 35(121), 355-369. – reference: Kalnay, E., et al. (1996), The NCEP/NCAR 40-Year Reanalysis Project, Bull. Am. Meteorol. Soc., 77, 437-472. – reference: Li, H., F. Ng, Z. Li, D. Qin, and G. Cheng (2012), An extended "perfect-plasticity" method for estimating ice thickness along the flow line of mountain glaciers, J. Geophys. Res., 117, F01020, doi:10.1029/2011JF002104. – reference: Huang, M. (1990), On the temperature distribution of glaciers in China, J. Glaciol., 36(123), 210-216. – reference: Frey, H., and F. Paul (2012), On the suitability of the SRTM DEM and ASTER GDEM for the compilation of topographic parameters in glacier inventories, Int. J. Appl. Earth Obs. Geoinf., 18, 480-490, doi:10.1016/j.jag.2011.09.020. – reference: Radić, V., and R. Hock (2011), Regionally differentiated contribution of mountain glaciers and ice caps to future sea-level rise, Nat. Geosci., 4, 91-94, doi:10.1038/ngeo1052. – reference: Cuffey, K. M., and W. S. B. Paterson (2010), The Physics of Glaciers, 4th ed., 704 pp., Butterworth-Heinemann, Oxford, U. K. – reference: Clarke, G. K. C., E. Berthier, C. G. Schoof, and A. H. Jarosch (2009), Neural networks applied to estimating subglacial topography and glacier volume, J. Clim., 22, 2146-2160, doi:10.1175/2008JCLI2572.1. – reference: Haeberli, W., and M. Hoelzle (1995), Application of inventory data for estimating characteristics of and regional climate-change effects on mountain glaciers: A pilot study with the European Alps, Ann. Glaciol., 21, 206-212. – reference: Gudmundsson, G. H. (1999), A three-dimensional numerical model of the confluence area of Unteraargletscher, Bernese Alps, Switzerland, J. Glaciol., 45(150), 219-230. – reference: Kamb, B., and K. A. Echelmeyer (1986), Stress-gradient coupling in glacier flow: I. Longitudinal averaging of the influence of ice thickness and surface slope, J. Glaciol., 32, 267-284. – reference: Azam, M. F., et al. 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Geosci. – volume: 115 year: 2010 article-title: Regional and global volumes of glaciers derived from statistical upscaling of glacier inventory data publication-title: J. Geophys. Res. – volume: 54 start-page: 220 year: 2008 end-page: 228 article-title: Performance of ASTER and SRTM DEMs, and their potential for assessing glacial lakes in the Lunana region, Bhutan Himalaya publication-title: J. Glaciol. – volume: 50 start-page: 144 issue: 53 year: 2010 end-page: 148 article-title: Completing the World Glacier Inventory publication-title: Ann. Glaciol. – volume: 45 start-page: 219 issue: 150 year: 1999 end-page: 230 article-title: A three‐dimensional numerical model of the confluence area of Unteraargletscher, Bernese Alps, Switzerland publication-title: J. 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| Snippet | A new physically based approach for calculating glacier ice thickness distribution and volume is presented and applied to all glaciers and ice caps worldwide.... |
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| SubjectTerms | Cryosphere Earth sciences Earth, ocean, space Exact sciences and technology External geophysics glacier ice volume glacier inventory Glaciers global assessment Ice Ice caps Ice thickness ice thickness distribution Remote sensing Sea level rise Topography water resources |
| Title | Distributed ice thickness and volume of all glaciers around the globe |
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