Articles | Volume 17, issue 12
https://doi.org/10.5194/tc-17-5435-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-5435-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Dec 2023
Research article |
| 20 Dec 2023
| 20 Dec 2023
Annual to seasonal glacier mass balance in High Mountain Asia derived from Pléiades stereo images: examples from the Pamir and the Tibetan Plateau
Daniel Falaschi
CORRESPONDING AUTHOR
School of Geography and Sustainable Development, University of St Andrews, Irvine Building, North Street, St Andrews, KY16 9AL, Scotland, UK
Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales (IANIGLA), CCT-CONICET Mendoza, C.C. 330, 5500 Mendoza, Argentina
Atanu Bhattacharya
Department of Earth Sciences and Remote Sensing, JIS University, Kolkata, 700109 Kolkata, India
Gregoire Guillet
Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA
Lei Huang
Aerospace Information Research Institute, Chinese Academy of Sciences, Dengzhuang south road 9, Haidian District, 100094 Beijing, China
Owen King
School of Geography and Sustainable Development, University of St Andrews, Irvine Building, North Street, St Andrews, KY16 9AL, Scotland, UK
School of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
Kriti Mukherjee
Cranfield Environment Centre, Cranfield University, College Road, Bedford, MK43 0AL, UK
Philipp Rastner
Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
Tandong Yao
Institute of Tibet Plateau Research, Chinese Academy of Sciences, Building 3, 30 Lincui Road, Chaoyang District, Beijing 100101, China
Tobias Bolch
School of Geography and Sustainable Development, University of St Andrews, Irvine Building, North Street, St Andrews, KY16 9AL, Scotland, UK
Institute of Geodesy, Graz University of Technology, Steyrergasse 10, 8010 Graz, Austria
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Manuscript not accepted for further review
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Aldo Bertone, Chloé Barboux, Xavier Bodin, Tobias Bolch, Francesco Brardinoni, Rafael Caduff, Hanne H. Christiansen, Margaret M. Darrow, Reynald Delaloye, Bernd Etzelmüller, Ole Humlum, Christophe Lambiel, Karianne S. Lilleøren, Volkmar Mair, Gabriel Pellegrinon, Line Rouyet, Lucas Ruiz, and Tazio Strozzi
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We present the guidelines developed by the IPA Action Group and within the ESA Permafrost CCI project to include InSAR-based kinematic information in rock glacier inventories. Nine operators applied these guidelines to 11 regions worldwide; more than 3600 rock glaciers are classified according to their kinematics. We test and demonstrate the feasibility of applying common rules to produce homogeneous kinematic inventories at global scale, useful for hydrological and climate change purposes.
Benjamin Aubrey Robson, Shelley MacDonell, Álvaro Ayala, Tobias Bolch, Pål Ringkjøb Nielsen, and Sebastián Vivero
The Cryosphere, 16, 647–665, https://doi.org/10.5194/tc-16-647-2022, https://doi.org/10.5194/tc-16-647-2022, 2022
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This work uses satellite and aerial data to study glaciers and rock glacier changes in La Laguna catchment within the semi-arid Andes of Chile, where ice melt is an important factor in river flow. The results show the rate of ice loss of Tapado Glacier has been increasing since the 1950s, which possibly relates to a dryer, warmer climate over the previous decades. Several rock glaciers show high surface velocities and elevation changes between 2012 and 2020, indicating they may be ice-rich.
Gregoire Guillet, Owen King, Mingyang Lv, Sajid Ghuffar, Douglas Benn, Duncan Quincey, and Tobias Bolch
The Cryosphere, 16, 603–623, https://doi.org/10.5194/tc-16-603-2022, https://doi.org/10.5194/tc-16-603-2022, 2022
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Surging glaciers show cyclical changes in flow behavior – between slow and fast flow – and can have drastic impacts on settlements in their vicinity.
One of the clusters of surging glaciers worldwide is High Mountain Asia (HMA).
We present an inventory of surging glaciers in HMA, identified from satellite imagery. We show that the number of surging glaciers was underestimated and that they represent 20 % of the area covered by glaciers in HMA, before discussing new physics for glacier surges.
Wenfeng Chen, Tandong Yao, Guoqing Zhang, Fei Li, Guoxiong Zheng, Yushan Zhou, and Fenglin Xu
The Cryosphere, 16, 197–218, https://doi.org/10.5194/tc-16-197-2022, https://doi.org/10.5194/tc-16-197-2022, 2022
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A digital elevation model (DEM) is a prerequisite for estimating regional glacier thickness. Our study first compared six widely used global DEMs over the glacierized Tibetan Plateau by using ICESat-2 (Ice, Cloud and land Elevation Satellite) laser altimetry data. Our results show that NASADEM had the best accuracy. We conclude that NASADEM would be the best choice for ice-thickness estimation over the Tibetan Plateau through an intercomparison of four ice-thickness inversion models.
Jan Bouke Pronk, Tobias Bolch, Owen King, Bert Wouters, and Douglas I. Benn
The Cryosphere, 15, 5577–5599, https://doi.org/10.5194/tc-15-5577-2021, https://doi.org/10.5194/tc-15-5577-2021, 2021
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About 10 % of Himalayan glaciers flow directly into lakes. This study finds, using satellite imagery, that such glaciers show higher flow velocities than glaciers without ice–lake contact. In particular near the glacier tongue the impact of a lake on the glacier flow can be dramatic. The development of current and new meltwater bodies will influence the flow of an increasing number of Himalayan glaciers in the future, a scenario not currently considered in regional ice loss projections.
Yongkang Xue, Tandong Yao, Aaron A. Boone, Ismaila Diallo, Ye Liu, Xubin Zeng, William K. M. Lau, Shiori Sugimoto, Qi Tang, Xiaoduo Pan, Peter J. van Oevelen, Daniel Klocke, Myung-Seo Koo, Tomonori Sato, Zhaohui Lin, Yuhei Takaya, Constantin Ardilouze, Stefano Materia, Subodh K. Saha, Retish Senan, Tetsu Nakamura, Hailan Wang, Jing Yang, Hongliang Zhang, Mei Zhao, Xin-Zhong Liang, J. David Neelin, Frederic Vitart, Xin Li, Ping Zhao, Chunxiang Shi, Weidong Guo, Jianping Tang, Miao Yu, Yun Qian, Samuel S. P. Shen, Yang Zhang, Kun Yang, Ruby Leung, Yuan Qiu, Daniele Peano, Xin Qi, Yanling Zhan, Michael A. Brunke, Sin Chan Chou, Michael Ek, Tianyi Fan, Hong Guan, Hai Lin, Shunlin Liang, Helin Wei, Shaocheng Xie, Haoran Xu, Weiping Li, Xueli Shi, Paulo Nobre, Yan Pan, Yi Qin, Jeff Dozier, Craig R. Ferguson, Gianpaolo Balsamo, Qing Bao, Jinming Feng, Jinkyu Hong, Songyou Hong, Huilin Huang, Duoying Ji, Zhenming Ji, Shichang Kang, Yanluan Lin, Weiguang Liu, Ryan Muncaster, Patricia de Rosnay, Hiroshi G. Takahashi, Guiling Wang, Shuyu Wang, Weicai Wang, Xu Zhou, and Yuejian Zhu
Geosci. Model Dev., 14, 4465–4494, https://doi.org/10.5194/gmd-14-4465-2021, https://doi.org/10.5194/gmd-14-4465-2021, 2021
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The subseasonal prediction of extreme hydroclimate events such as droughts/floods has remained stubbornly low for years. This paper presents a new international initiative which, for the first time, introduces spring land surface temperature anomalies over high mountains to improve precipitation prediction through remote effects of land–atmosphere interactions. More than 40 institutions worldwide are participating in this effort. The experimental protocol and preliminary results are presented.
Yanbin Lei, Tandong Yao, Kun Yang, Lazhu, Yaoming Ma, and Broxton W. Bird
Hydrol. Earth Syst. Sci., 25, 3163–3177, https://doi.org/10.5194/hess-25-3163-2021, https://doi.org/10.5194/hess-25-3163-2021, 2021
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Lake evaporation from Paiku Co on the TP is low in spring and summer and high in autumn and early winter. There is a ~ 5-month lag between net radiation and evaporation due to large lake heat storage. High evaporation and low inflow cause significant lake-level decrease in autumn and early winter, while low evaporation and high inflow cause considerable lake-level increase in summer. This study implies that evaporation can affect the different amplitudes of lake-level variations on the TP.
Andreas Kääb, Mylène Jacquemart, Adrien Gilbert, Silvan Leinss, Luc Girod, Christian Huggel, Daniel Falaschi, Felipe Ugalde, Dmitry Petrakov, Sergey Chernomorets, Mikhail Dokukin, Frank Paul, Simon Gascoin, Etienne Berthier, and Jeffrey S. Kargel
The Cryosphere, 15, 1751–1785, https://doi.org/10.5194/tc-15-1751-2021, https://doi.org/10.5194/tc-15-1751-2021, 2021
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Hardly recognized so far, giant catastrophic detachments of glaciers are a rare but great potential for loss of lives and massive damage in mountain regions. Several of the events compiled in our study involve volumes (up to 100 million m3 and more), avalanche speeds (up to 300 km/h), and reaches (tens of kilometres) that are hard to imagine. We show that current climate change is able to enhance associated hazards. For the first time, we elaborate a set of factors that could cause these events.
Andreas Kääb, Tazio Strozzi, Tobias Bolch, Rafael Caduff, Håkon Trefall, Markus Stoffel, and Alexander Kokarev
The Cryosphere, 15, 927–949, https://doi.org/10.5194/tc-15-927-2021, https://doi.org/10.5194/tc-15-927-2021, 2021
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We present a map of rock glacier motion over parts of the northern Tien Shan and time series of surface speed for six of them over almost 70 years.
This is by far the most detailed investigation of this kind available for central Asia.
We detect a 2- to 4-fold increase in rock glacier motion between the 1950s and present, which we attribute to atmospheric warming.
Relative to the shrinking glaciers in the region, this implies increased importance of periglacial sediment transport.
Yanbin Lei, Tandong Yao, Lide Tian, Yongwei Sheng, Lazhu, Jingjuan Liao, Huabiao Zhao, Wei Yang, Kun Yang, Etienne Berthier, Fanny Brun, Yang Gao, Meilin Zhu, and Guangjian Wu
The Cryosphere, 15, 199–214, https://doi.org/10.5194/tc-15-199-2021, https://doi.org/10.5194/tc-15-199-2021, 2021
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Two glaciers in the Aru range, western Tibetan Plateau (TP), collapsed suddenly on 17 July and 21 September 2016, respectively, causing fatal damage to local people and their livestock. The impact of the glacier collapses on the two downstream lakes (i.e., Aru Co and Memar Co) is investigated in terms of lake morphology, water level and water temperature. Our results provide a baseline in understanding the future lake response to glacier melting on the TP under a warming climate.
Franz Goerlich, Tobias Bolch, and Frank Paul
Earth Syst. Sci. Data, 12, 3161–3176, https://doi.org/10.5194/essd-12-3161-2020, https://doi.org/10.5194/essd-12-3161-2020, 2020
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This work indicates all glaciers in the Pamir that surged between 1988 and 2018 as revealed by different remote sensing data, mainly Landsat imagery. We found ~ 200 surging glaciers for the entire mountain range and detected the minimum and maximum extents of most of them. The smallest surging glacier is ~ 0.3 km2. This inventory is important for further research on the surging behaviour of glaciers and has to be considered when processing glacier changes (mass, area) of the region.
Cited articles
Abdel Jaber, W., Rott, H., Floricioiu, D., Wuite, J., and Miranda, N.: Heterogeneous spatial and temporal pattern of surface elevation change and mass balance of the Patagonian ice fields between 2000 and 2016, The Cryosphere, 13, 2511–2535, https://doi.org/10.5194/tc-13-2511-2019, 2019.
Alexandrov, O., McMichael, S., Broxton, M., Lundy, M., Beyer, R., Husmann, K., Edwards, L., Nefian, A., Smith., B, Shean, D., Smith, T., mstyer, Annex, A., Moratto, Z., Harguess, J.. Dehecq, A., Nodjoumi, G., Aravkin, A., Meyer, J., PicoJr., Bhushan, S., and Jay, L.: NeoGeographyToolkit/StereoPipeline: 2023-11-30-daily-build (2023-11-30-daily-build), Zenodo [code], https://doi.org/10.5281/zenodo.10239162, 2023.
Andreassen, L. M., Elvehøy, H., Kjøllmoen, B., and Engeset, R. V.: Reanalysis of long-term series of glaciological and geodetic mass balance for 10 Norwegian glaciers, The Cryosphere, 10, 535–552, https://doi.org/10.5194/tc-10-535-2016, 2016.
Armstrong, W. H., Polashenski, D., Truffer, M., Horne, G., Hanson, J. B., Hawley, R. L., Hengst, A. M., Vowels, L., Menounos, B., and Wychen, W. V.: Declining basal motion dominates the long-term slowing of Athabasca Glacier, Canada, J. Geophys. Res.-Earth, 127, 2021JF006439, https://doi.org/10.1029/2021JF006439, 2022.
Belart, J. M. C., Berthier, E., Magnússon, E., Anderson, L. S., Pálsson, F., Thorsteinsson, T., Howat, I. M., Aðalgeirsdóttir, G., Jóhannesson, T., and Jarosch, A. H.: Winter mass balance of Drangajökull ice cap (NW Iceland) derived from satellite sub-meter stereo images, The Cryosphere, 11, 1501–1517, https://doi.org/10.5194/tc-11-1501-2017, 2017.
Belart, J. M. C., Magnússon, E., Berthier, E., Pálsson, F., Aðalgeirsdóttir, G., and Jóhannesson, T.: The geodetic mass balance of Eyjafjallajökull ice cap for 1945–2014: Processing guidelines and relation to climate, J. Glaciol. 65, 395–409, https://doi.org/10.1017/jog.2019.16, 2019.
Beraud, L., Cusicanqui, D., Rabatel, A., Brun, F., Vincent, C., and Six, D.: Glacier-wide seasonal and annual geodetic mass balances from Pléiades stereo images: Application to the Glacier d'Argentière, French Alps, J. Glaciol., 69, 525–537, https://doi.org/10.1017/jog.2022.79, 2023.
Berthier, E. and Brun, F.: Karakoram geodetic glacier mass balances between 2008 and 2016: Persistence of the anomaly and influence of a large rock avalanche on Siachen Glacier, J. Glaciol., 65, 494–507, https://doi.org/10.1017/jog.2019.32, 2019.
Berthier, E., Vincent, C., Magnússon, E., Gunnlaugsson, Á. Þ., Pitte, P., Le Meur, E., Masiokas, M., Ruiz, L., Pálsson, F., Belart, J. M. C., and Wagnon, P.: Glacier topography and elevation changes derived from Pléiades sub-meter stereo images, The Cryosphere, 8, 2275–2291, https://doi.org/10.5194/tc-8-2275-2014, 2014.
Berthier, E., Cabot, V., Vincent, C., and Six, D.: Decadal region-wide and glacier-wide mass balances derived from multi-temporal ASTER satellite Digital Elevation Models. Validation over the Mont-Blanc area, Front. Earth Sci., 4, 63, https://doi.org/10.3389/feart.2016.00063, 2016.
Beyer, R. A., Alexandrov, O., and McMichael, S.: The Ames Stereo Pipeline: NASA’s Open Source Software for Deriving and Processing Terrain Data, Earth Space Sci., 5, 537–548, https://doi.org/10.1029/2018EA000409, 2018.
Bhattacharya, A., Bolch, T., Mukherjee, K., King, O., Menounos, B., Kapitsa, V., Neckel, N., Yang, W., and Yao, T.: High Mountain Asian glacier response to climate revealed by multi-temporal satellite observations since the 1960s, Nat. Commun., 12, 4133, https://doi.org/10.1038/s41467-021-24180-y, 2021a.
Bhattacharya, A., Bolch, T., Mukherjee, K., King, O., Menounos, B., Kapitsa, V., Neckel, N., Yang, W., and Yao, T.: Glacier elevation changes data in the High Mountain Asia derived from multi-temporal digital elevation models since the 1960s, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.933924, 2021b.
Bippus, G.: Characteristics of summer snow areas on glaciers observed by means of Landsat data, PhD thesis, University of Innsbruck, Austria, https://www.uibk.ac.at/projects/station-hintereis-opal-data/theses/pdf/bippus_2011.pdf (last access: 10 December 2023), 2011.
Bolch, T., Yao, T., Kang, S., Buchroithner, M. F., Scherer, D., Maussion, F., Huintjes, E., and Schneider, C.: A glacier inventory for the western Nyainqentanglha Range and the Nam Co Basin, Tibet, and glacier changes 1976–2009, The Cryosphere, 4, 419–433, https://doi.org/10.5194/tc-4-419-2010, 2010.
Bolch, T., Kulkarni, A., Kääb, A., Huggel, C., Paul, F., Cogley, J. G., Frey, H., Kargel, J. S., Fujita, K., Scheel, M., Bajracharya, S., and Stoffel, M.: The state and fate of Himalayan glaciers, Science, 336, 310–314, https://doi.org/10.1126/science.1215828, 2012.
Bolch, T., Pieczonka, T., Mukherjee, K., and Shea, J.: Brief communication: Glaciers in the Hunza catchment (Karakoram) have been nearly in balance since the 1970s, The Cryosphere, 11, 531–539, https://doi.org/10.5194/tc-11-531-2017, 2017.
Bolch, T., Shea, J. M., Liu, S., Azam, F. M., Gao, Y., Gruber, S., Immerzeel, W. W., Kulkarni, A., Li, H., Tahir, A. A., Zhang, G., and Zhang, Y.: Status and Change of the Cryosphere in the Extended Hindu Kush Himalaya Region, in: The Hindu Kush Himalaya Assessment, edited by: Wester, P., Mishra, A., Mukherji, A., and Shrestha, A. B., Springer Nature, Cham, Switzerland, 209–255, https://doi.org/10.1007/978-3-319-92288-1_7, 2019a.
Bolch, T., Rohrbach, N., Kutuzov, S., Robson, B. A., and Osmonov, A.: Occurrence, evolution and ice content of ice-debris complexes in the Ak-Shiirak, Central Tien Shan revealed by geophysical and remotely-sensed investigations: Ice-debris complexes in Ak-Shiirak, Earth Surf. Process Landf., 44, 129–143, https://doi.org/10.1002/esp.4487, 2019b.
Braun, M. H., Malz, P., Sommer, C., Farías-Barahona, D., Sauter, T., Casassa, G., Soruco, A., Skvarca, P., and Seehaus, T. C.: Constraining glacier elevation and mass changes in South America, Nat. Clim. Change, 9, 130–136, https://doi.org/10.1038/s41558-018-0375-7, 2019.
Brun, F., Berthier, E., Wagnon, P., Kääb, A., and Treichler, D.: A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016, Nat. Geosci., 10, 668–673, https://doi.org/10.1038/ngeo2999, 2017.
Brun, F., Wagnon, P., Berthier, E., Jomelli, V., Maharjan, S. B., Shrestha, F., and Kraaijenbrink, P. D. A.: Heterogeneous influence of glacier morphology on the mass balance variability in High Mountain Asia, J. Geophys. Res.-Earth, 124, 1331–1345, https://doi.org/10.1029/2018JF004838, 2019.
Burns, P. and Nolin, A.: Using atmospherically-corrected Landsat imagery to measure glacier area change in the Cordillera Blanca, Peru from 1987 to 2010, Remote Sens. Environ., 140, 165–178, https://doi.org/10.1016/j.rse.2013.08.026, 2014.
Caidong, C. and Sorteberg, A.: Modelled mass balance of Xibu glacier, Tibetan Plateau: sensitivity to climate change, J. Glaciol., 56, 235–248, https://doi.org/10.3189/002214310791968467, 2010.
Clarke, G. K. C., Anslow, F. S., Jarosch, A. H., Radić, V., Menounos, B., Bolch, T., and Berthier, E.: Ice volume and subglacial topography for Western Canadian glaciers from mass balance fields, Thinning Rates, and a Bed Stress Model, J. Climate, 26, 4282–4303, https://doi.org/10.1175/JCLI-D-12-00513.1, 2013.
Cogley, G. J.: Geodetic and direct mass-balance measurements: Comparison and joint analysis, Ann. Glaciol., 50, 96–100, https://doi.org/10.3189/172756409787769744, 2009.
Cogley, J. G., Hock, R., Rasmussen, L. A., Arendt, A. A., Bauder, A., Braithwaite, R. J., Jansson, P., Kaser, G., Möller, M., Nicholson, L., and Zemp, M.: Glossary of glacier mass balance and related terms, IHP-VII Technical Documents in Hydrology No. 86, IACS Contribution No. 2, UNESCO-IHP, Paris, https://unesdoc.unesco.org/ark:/48223/pf0000192525 (last access: 10 December 2023), 2011.
Copernicus: Homepage, https://scihub.copernicus.eu/, last access: 28 December 2022.
Davaze, L., Rabatel, A., Dufour, A., Hugonnet, R., and Arnaud, Y.: Region-wide annual glacier surface mass balance for the European Alps from 2000 to 2016, Front. Earth Sci., 8, 149, https://doi.org/10.3389/feart.2020.00149, 2020.
Dehecq, A., Millan, R., Berthier, E., Gourmelen, N., Trouve, E., and Vionnet, V.: Elevation changes inferred from TanDEM-X data over the Mont-Blanc area: Impact of the X-Band Interferometric Bias, IEEE J. Sel. Top. Appl. Earth Obs., 9, 3870–3882, https://doi.org/10.1109/JSTARS.2016.2581482, 2016.
Dehecq, A., Gourmelen, N., Gardner, A. S., Brun, F., Goldberg, D., Nienow, P. W., Berthier, E., Vincent, C., Wagnon, P., and Trouvé, E.: Twenty-first century glacier slowdown driven by mass loss in High Mountain Asia, Nat. Geosci., 12, 22–27, https://doi.org/10.1038/s41561-018-0271-9, 2019.
Denzinger, F., Machguth, H., Barandun, M., Berthier, E., Girod, L., Kronenberg, M., Usubaliev, R., and Hoelzle, M.: Geodetic mass balance of Abramov Glacier from 1975 to 2015, J. Glaciol., 67, 331–342, https://doi.org/10.1017/jog.2020.108, 2021.
Deschamps-Berger, C., Gascoin, S., Berthier, E., Deems, J., Gutmann, E., Dehecq, A., Shean, D., and Dumont, M.: Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data, The Cryosphere, 14, 2925–2940, https://doi.org/10.5194/tc-14-2925-2020, 2020.
Duan, K., Xu, B., and Wu, G.: Snow accumulation variability at altitude of 7010 m a.s.l. in Muztag Ata Mountain in Pamir Plateau during 1958–2002, J. Hydrol., 531, 912–918, https://doi.org/10.1016/j.jhydrol.2015.10.013, 2015.
Dussaillant, I., Berthier, E., Brun, F., Masiokas, M., Hugonnet, R., Favier, V., Rabatel, A., Pitte, P., and Ruiz, L.: Two decades of glacier mass loss along the Andes, Nat. Geosci., 12, 802–808, https://doi.org/10.1038/s41561-019-0432-5, 2019.
Falaschi, D., Rivera, A., Lo Vecchio Repetto, A., Moragues, S., Villalba, R., Rastner, P., Zeller, J., and Salcedo, A. P.: Evolution of surface characteristics of three debris-covered glaciers in the Patagonian Andes from 1958 to 2020, Front. Earth Sci, 9, 671854, https://doi.org/10.3389/feart.2021.671854, 2021.
Falaschi, D., Berthier, E., Belart, J. M. C., Bravo, C., Castro, M., Durand, M., and Villalba, R.: Increased mass loss of glaciers in Volcán Domuyo (Argentinian Andes) between 1962 and 2020, revealed by aerial photos and satellite stereo imagery, J. Glaciol., 69, 40–56, https://doi.org/10.1017/jog.2022.43, 2023a.
Falaschi, D., Bhattacharya, A., Guillet, G., Huang, L., King, O., Mukherjee, K., Rastner, P., Yao, T., and Bolch, T.: 2020-2022-glacier-elevation-change-data-in-Muztag-Ata-and-Western-Nyainqentanglha-from-Pleiades-DEMs, Zenodo [data set], https://doi.org/10.5281/zenodo.10392969, 2023b.
Farinotti, D., Immerzeel, W. W., de Kok, R. J., Quincey, D. J., and Dehecq, A.: Manifestations and mechanisms of the Karakoram glacier anomaly, Nat. Geosci., 13, 8–16, https://doi.org/10.1038/s41561-019-0513-5, 2020.
Fischer, M., Huss, M., Kummert, M., and Hoelzle, M.: Application and validation of long-range terrestrial laser scanning to monitor the mass balance of very small glaciers in the Swiss Alps, The Cryosphere, 10, 1279–1295, https://doi.org/10.5194/tc-10-1279-2016, 2016.
Fujita, K. and Ageta, Y.: Effect of summer accumulation on glacier mass balance on the Tibetan Plateau revealed by mass-balance model, J. Glaciol., 46, 244–252, https://doi.org/10.3189/172756500781832945, 2000.
Gardelle, J., Berthier, E., Arnaud, Y., and Kääb, A.: Region-wide glacier mass balances over the Pamir-Karakoram-Himalaya during 1999–2011, The Cryosphere, 7, 1263–1286, https://doi.org/10.5194/tc-7-1263-2013, 2013.
Girod, L., Nuth, C., Kääb, A., McNabb, R., and Galland, O.: MMASTER: Improved ASTER DEMs for elevation change monitoring, Remote Sens., 9, 704, https://doi.org/10.3390/rs9070704, 2017.
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore, R.: Google Earth Engine: Planetary-scale geospatial analysis for everyone, Remote Sens. Environ., 202, 18–27, https://doi.org/10.1016/j.rse.2017.06.031, 2017.
Gleyzes, M. A., Perret, L., and Kubik, P.: Pleiades System Architecture and Main Performances, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B1, 537–542, https://doi.org/10.5194/isprsarchives-XXXIX-B1-537-2012, 2012.
Guillet, G., King, O., Lv, M., Ghuffar, S., Benn, D., Quincey, D., and Bolch, T.: A regionally resolved inventory of High Mountain Asia surge-type glaciers, derived from a multi-factor remote sensing approach, The Cryosphere, 16, 603–623, https://doi.org/10.5194/tc-16-603-2022, 2022.
Guo, Z., Wang, N., Kehrwald, N. M., Mao, R., Wu, H., Wu, Y., and Jiang, X.: Temporal and spatial changes in Western Himalayan firn line altitudes from 1998 to 2009, Glob. Planet. Change, 118, 97–105, https://doi.org/10.1016/j.gloplacha.2014.03.012, 2014.
Hirschmuller, H.: Stereo Processing by Semiglobal Matching and Mutual Information. IEEE Trans. Pattern. Anal. Mach. Intell., 30, 328–341, https://doi.org/10.1109/TPAMI.2007.1166, 2007.
Höhle, J. and Höhle, M.: Accuracy assessment of digital elevation models by means of robust statistical methods, ISPRS J. Photogramm. Remote Sens., 64, 398–406, https://doi.org/10.1016/j.isprsjprs.2009.02.003, 2009.
Holzer, N., Vijay, S., Yao, T., Xu, B., Buchroithner, M., and Bolch, T.: Four decades of glacier variations at Muztagh Ata (eastern Pamir): a multi-sensor study including Hexagon KH-9 and Pléiades data, The Cryosphere, 9, 2071–2088, https://doi.org/10.5194/tc-9-2071-2015, 2015.
Huang, L., Li, Z., Tian, B., Chen, Q., and Zhou, J.: Monitoring glacier zones and snow/firn line changes in the Qinghai–Tibetan Plateau using C-band SAR imagery, Remote Sens. Environ., 137, 17–30, https://doi.org/10.1016/j.rse.2013.05.016, 2013.
Huang, L., Hock, R., Li, X., Bolch, T., Yang, K., Wang, N., Yao, T., Zhou, J., Dou, C., and Li, Z.: Winter accumulation drives the spatial variations in glacier mass balance in High Mountain Asia, Sci. Bull., 67, 1967–1970, https://doi.org/10.1016/j.scib.2022.08.019, 2022.
Hugonnet, R., McNabb, R., Berthier, E., Menounos, B., Nuth, C., Girod, L., Farinotti, D., Huss, M., Dussaillant, I., Brun, F., and Kääb, A.: Accelerated global glacier mass loss in the early twenty-first century, Nature, 592, 726–731, https://doi.org/10.1038/s41586-021-03436-z, 2021a.
Hugonnet, R., McNabb, R., Berthier, E., Menounos, B., Nuth, C., Girod, L., Farinotti, D., Huss, M., Dussaillant, I., Brun, F., and Kääb, A.: Accelerated global glacier mass loss in the early twenty-first century – Dataset, THEIA [dataset], https://doi.org/10.6096/13, 2021b.
Hugonnet, R., Brun, F., Berthier, E., Dehecq, A., Mannerfelt, E. S., Eckert, N., and Farinotti, D.: Uncertainty analysis of digital elevation models by spatial inference from stable terrain, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 15, 6456–6472, https://doi.org/10.1109/JSTARS.2022.3188922, 2022.
Huintjes, E., Sauter, T., Schröter, B., Maussion, F., Yang, W., Kropáček, J., Buchroithner, M., Scherer, D., Kang, S., and Schneider, C.: Evaluation of a coupled snow and energy balance model for Zhadang Glacier, Tibetan Plateau, using glaciological measurements and time-lapse photography, Arct. Antarct. Alp. Res., 47, 573–590, https://doi.org/10.1657/AAAR0014-073, 2015.
Huss, M.: Density assumptions for converting geodetic glacier volume change to mass change, The Cryosphere, 7, 877–887, https://doi.org/10.5194/tc-7-877-2013, 2013.
Huss, M., Sold, L., Hoelzle, M., Stokvis, M., Salzmann, N., Farinotti, D., and Zemp, M.: Towards remote monitoring of sub-seasonal glacier mass balance, Ann. Glaciol., 54, 75–83, https://doi.org/10.3189/2013AoG63A427, 2013.
Immerzeel, W. W., Lutz, A. F., Andrade, M., Bahl, A., Biemans, H., Bolch, T., Hyde, S., Brumby, S., Davies, B. J., Elmore, A. C., Emmer, A., Feng, M., Fernández, A., Haritashya, U., Kargel, J. S., Koppes, M., Kraaijenbrink, P. D. A., Kulkarni, A. V., Mayewski, P. A., Nepal, S., Pacheco, P., Painter, T. H., Pellicciotti, F., Rajaram, H., Rupper, S., Sinisalo, A., Shrestha, A. B., Viciroli, D., Wada, Y., Yao, T., and Baillie, J. E. M.: Importance and vulnerability of the world's water towers, Nature, 577, 364–369, https://doi.org/10.1038/s41586-019-1822-y, 2020.
Jakob, L., Gourmelen, N., Ewart, M., and Plummer, S.: Spatially and temporally resolved ice loss in High Mountain Asia and the Gulf of Alaska observed by CryoSat-2 swath altimetry between 2010 and 2019, The Cryosphere, 15, 1845–1862, https://doi.org/10.5194/tc-15-1845-2021, 2021.
Kääb, A., Treichler, D., Nuth, C., and Berthier, E.: Brief Communication: Contending estimates of 2003–2008 glacier mass balance over the Pamir–Karakoram–Himalaya, The Cryosphere, 9, 557–564, https://doi.org/10.5194/tc-9-557-2015, 2015.
Kääb, A., Winsvold, S., Altena, B., Nuth, C., Nagler, T., and Wuite, J.: Glacier remote sensing using Sentinel-2. Part I: radiometric and geometric performance, and application to ice velocity, Remote Sens., 8, 598, https://doi.org/10.3390/rs8070598, 2016.
Kang, S., Chen, F., Gao, T., Zhang, Y., Yang, W., Yu, W., and Yao, T.: Early onset of rainy season suppresses glacier melt: A case study on Zhadang glacier, Tibetan Plateau, J. Glaciol., 55, 755–758, https://doi.org/10.3189/002214309789470978, 2009.
King, O., Bhattacharya, A., Bhambri, R., and Bolch, T.: Glacial lakes exacerbate Himalayan glacier mass loss, Sci. Rep., 9, 18145, https://doi.org/10.1038/s41598-019-53733-x, 2019.
King, O., Bhattacharya, A., and Bolch, T.: The presence and influence of glacier surging around the Geladandong ice caps, North East Tibetan Plateau, Adv. Clim. Chang. Res., 12, 299–312, https://doi.org/10.1016/j.accre.2021.05.001, 2021.
Klug, C., Bollmann, E., Galos, S. P., Nicholson, L., Prinz, R., Rieg, L., Sailer, R., Stötter, J., and Kaser, G.: Geodetic reanalysis of annual glaciological mass balances (2001–2011) of Hintereisferner, Austria, The Cryosphere, 12, 833–849, https://doi.org/10.5194/tc-12-833-2018, 2018.
Koblet, T., Gärtner-Roer, I., Zemp, M., Jansson, P., Thee, P., Haeberli, W., and Holmlund, P.: Reanalysis of multi-temporal aerial images of Storglaciären, Sweden (1959–99) – Part 1: Determination of length, area, and volume changes, The Cryosphere, 4, 333–343, https://doi.org/10.5194/tc-4-333-2010, 2010.
Li, G. and Lin, H.: Recent decadal glacier mass balances over the Western Nyainqêntanglha Mountains and the increase in their melting contribution to Nam Co Lake measured by differential bistatic SAR interferometry, Glob. Planet. Change, 149, 177–190, https://doi.org/10.1016/j.gloplacha.2016.12.018, 2017.
Liang, Q., Wang, N., Yang, X., Chen, A., Hua, T., Li, Z., and Yang, D.: The eastern limit of “Kunlun-Pamir-Karakoram Anomaly” reflected by changes in glacier area and surface elevation, J. Glaciol., 68, 1167–1176, https://doi.org/10.1017/jog.2022.30, 2022.
Luo, W., Zhang, G., Chen, W., and Xu, F.: Response of glacial lakes to glacier and climate changes in the Western Nyainqêntanglha range, Sci. Total Environ., 735, 139607, https://doi.org/10.1016/j.scitotenv.2020.139607, 2020.
Lv, M., Quincey, D. J., Guo, H., King, O., Liu, G., Yan, S., Lu, X., and Ruan, Z.: Examining geodetic glacier mass balance in the eastern Pamir transition zone, J. Glaciol., 66, 927–937, https://doi.org/10.1017/jog.2020.54, 2020.
Maurer, J. M., Rupper, S. B., and Schaefer, J. M.: Quantifying ice loss in the eastern Himalayas since 1974 using declassified spy satellite imagery, The Cryosphere, 10, 2203–2215, https://doi.org/10.5194/tc-10-2203-2016, 2016.
Maussion, F., Scherer, D., Mölg, T., Collier, E., Curio, J., and Finkelnburg, R.: Precipitation seasonality and variability over the Tibetan Plateau as resolved by the High Asia Reanalysis, J. Climate, 27, 1910–1927, https://doi.org/10.1175/JCLI-D-13-00282.1, 2014.
McNabb, R., Nuth, C., Kääb, A., and Girod, L.: Sensitivity of glacier volume change estimation to DEM void interpolation, The Cryosphere, 13, 895–910, https://doi.org/10.5194/tc-13-895-2019, 2019.
Mölg, T., Maussion, F., Yang, W., and Scherer, D.: The footprint of Asian monsoon dynamics in the mass and energy balance of a Tibetan glacier, The Cryosphere, 6, 1445–1461, https://doi.org/10.5194/tc-6-1445-2012, 2012.
Mölg, T., Maussion, F., and Scherer, D.: Mid-latitude westerlies as a driver of glacier variability in monsoonal High Asia, Nat. Clim. Change, 4, 68–73, https://doi.org/10.1038/nclimate2055, 2014.
Mukherjee, K., Menounos, B., Shea, J., Mortezapour, M., Ednie, M., and Demuth, M. N.: Evaluation of surface mass-balance records using geodetic data and physically-based modelling, Place and Peyto glaciers, western Canada, J. Glaciol., 69, 665–682, https://doi.org/10.1017/jog.2022.83, 2023.
Muñoz Sabater, J.: ERA5-Land hourly data from 1950 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.e2161bac, 2019.
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, N. J., Zsoter, E., Buontempo, C., and Thépaut, J.-N.: ERA5-Land: a state-of-the-art global reanalysis dataset for land applications, Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021, 2021.
Nuth, C. and Kääb, A.: Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change, The Cryosphere, 5, 271–290, https://doi.org/10.5194/tc-5-271-2011, 2011.
Nuth, C., Schuler, T. V., Kohler, J., Altena, B., and Hagen, J. O.: Estimating the long-term calving flux of Kronebreen, Svalbard, from geodetic elevation changes and mass-balance modeling, J. Glaciol., 58, 119–133, https://doi.org/10.3189/2012JoG11J036, 2012.
Otsu, N.: A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. Syst., 9, 62–66, https://doi.org/10.1109/TSMC.1979.4310076, 1979.
Paul, F., Bolch, T., Kääb, A., Nagler, T., Nuth, C., Scharrer, K., Shepherd, A., Strozzi, T., Ticconi, F., Bhambri, R., Berthier, E., Bevan, S., Gourmelen, N., Heid, T., Jeong, S., Kunz, M., Lauknes, T. R., Luckman, A., Merryman Boncori, J. P., Moholdt, G., Muir, A., Neelmeijer, J., Rankl, M., VanLooy, J., and Van Niel, T.: The glaciers climate change initiative: methods for creating glacier area, elevation change and velocity products, Remote Sens. Environ., 162, 408–426, https://doi.org/10.1016/j.rse.2013.07.043, 2015.
Pelto, B. M., Menounos, B., and Marshall, S. J.: Multi-year evaluation of airborne geodetic surveys to estimate seasonal mass balance, Columbia and Rocky Mountains, Canada, The Cryosphere, 13, 1709–1727, https://doi.org/10.5194/tc-13-1709-2019, 2019.
Racoviteanu, A. E., Rittger, K., and Armstrong, R.: An automated approach for estimating snowline altitudes in the Karakoram and Eastern Himalaya from Remote Sensing, Front. Earth Sci., 7, 220, https://doi.org/10.3389/feart.2019.00220, 2019.
Rastner, P., Prinz, R., Notarnicola, C., Nicholson, L., Sailer, R., Schwaizer, G., and Paul, F.: On the automated mapping of snow cover on glaciers and calculation of snow line altitudes from multi-temporal Landsat data, Remote Sens., 11, 1410, https://doi.org/10.3390/rs11121410, 2019.
Ren, S., Menenti, M., Jia, L., Zhang, J., Zhang, J., and Li, X.: Glacier mass balance in the Nyainqêntanglha Mountains between 2000 and 2017 retrieved from ZiYuan-3 stereo images and the SRTM DEM, Remote Sens., 12, 864, https://doi.org/10.3390/rs12050864, 2020.
RGI Consortium: Randolph Glacier Inventory – A dataset of global glacier outlines, Version 6, NSIDC [data set], https://doi.org/10.7265/4M1F-GD79, 2017.
Rieg, L., Klug, C., Nicholson, L., and Sailer, R.: Pléiades Tri-Stereo Data for Glacier Investigations – Examples from the European Alps and the Khumbu Himal, Remote Sens., 10, 1563, https://doi.org/10.3390/rs10101563, 2018.
Sakai, A. and Fujita, K.: Contrasting glacier responses to recent climate change in high-mountain Asia, Sci. Rep., 7, 13717, https://doi.org/10.1038/s41598-017-14256-5, 2017.
Sakai, A., Nuimura, T., Fujita, K., Takenaka, S., Nagai, H., and Lamsal, D.: Climate regime of Asian glaciers revealed by GAMDAM glacier inventory, The Cryosphere, 9, 865–880, https://doi.org/10.5194/tc-9-865-2015, 2015.
Scherler, D., Wulf, H., and Gorelick, N.: Global assessment of supraglacial debris-cover extents, Geophys. Res. Lett., 45, 11798–11805, https://doi.org/10.1029/2018GL080158, 2018.
Seong, Y. B., Owen, L. A., Yi, C., Finkel, R. C., and Schoenbohm, L.: Geomorphology of anomalously high glaciated mountains at the northwestern end of Tibet: Muztag Ata and Kongur Shan, Geomorphology, 103, 227–250, https://doi.org/10.1016/j.geomorph.2008.04.025, 2009.
Shean, D. E., Alexandrov, O., Moratto, Z. M., Smith, B. E., Joughin, I. R., Porter, C., and Morin, P.: An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery, ISPRS J. Photogramm. Remote Sens., 116, 101–117, https://doi.org/10.1016/j.isprsjprs.2016.03.012, 2016.
Shean, D. E., Bhushan, S., Montesano, P., Rounce, D. R., Arendt, A., and Osmanoglu, B.: A systematic, regional assessment of High Mountain Asia glacier mass balance, Front. Earth Sci., 7, 363, https://doi.org/10.3389/feart.2019.00363, 2020.
Shi, J. and Menenti, M.: Monitoring recent variations of the movements on the polythermal glaciers – a case study in the Nyainqêntanglha Mountains, in: 2013 IEEE International Geoscience and Remote Sensing Symposium – IGARSS, Melbourne, Australia, 21–26 July 2013, 3622–3625, https://doi.org/10.1109/IGARSS.2013.6723614, 2013.
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., 59, 1047–1059, https://doi.org/10.3189/2013JoG13J015, 2013.
Sommer, C., Malz, P., Seehaus, T. C., Lippl, S., Zemp, M., and Braun, M. H.: Rapid glacier retreat and downwasting throughout the European Alps in the early 21st century, Nat. Commun., 11, 3209, https://doi.org/10.1038/s41467-020-16818-0, 2020.
U.S. Geological Survey: Earth Explorer, USGS [data set], https://earthexplorer.usgs.gov/ (last access: 28 December 2022), 2023.
Van Tiel, M., Kohn, I., Van Loon, A. F., and Stahl, K.: The compensating effect of glaciers: Characterizing the relation between interannual streamflow variability and glacier cover, Hydrol. Proc., 34, 553–568, https://doi.org/10.1002/hyp.13603, 2020.
Vishwakarma, B. D., Ramsankaran, R., Azam, Mohd. F., Bolch, T., Mandal, A., Srivastava, S., Kumar, P., Sahu, R., Navinkumar, P. J., Tanniru, S. R., Javed, A., Soheb, M., Dimri, A. P., Yadav, M., Devaraju, B., Chinnasamy, P., Reddy, M. J., Murugesan, G. P., Arora, M., Jain, S. K., Ojha, C. S. P., Harrison, S., and Bamber, J.: Challenges in understanding the variability of the cryosphere in the Himalaya and its impact on regional water Resources, Front. Water, 4, 909246, https://doi.org/10.3389/frwa.2022.909246, 2022.
Wagnon, P., Brun, F., Khadka, A., Berthier, E., Shrestha, D., Vincent, C., Arnaud, Y., Six, D., Dehecq, A., Ménégoz, M., and Jomelli, V.: Reanalysing the 2007–19 glaciological mass-balance series of Mera Glacier, Nepal, Central Himalaya, using geodetic mass balance, J. Glaciol., 67, 117–125, https://doi.org/10.1017/jog.2020.88, 2021.
Wang, Q. and Sun, W.: Seasonal Cycles of High Mountain Asia Glacier Surface Elevation Detected by ICESat-2, J. Geophys. Res.-Atmos., 127, e2022JD037501, https://doi.org/10.1029/2022JD037501, 2022.
Wang, S., Liu, J., Pritchard, H. D., Ke, L., Qiao, X., Zhang, J., Xiao, W., and Zhou, Y.: Characterizing 4 decades of accelerated glacial mass loss in the west Nyainqentanglha Range of the Tibetan Plateau, Hydrol. Earth Syst. Sci., 27, 933–952, https://doi.org/10.5194/hess-27-933-2023, 2023.
Wortmann, M., Bolch, T., Menz, C., Tong, J., and Krysanova, V.: Comparison and Correction of High-Mountain Precipitation Data Based on Glacio-Hydrological Modeling in the Tarim River Headwaters (High Asia), J. Hydrometeorol. 19, 777–801, https://doi.org/10.1175/JHM-D-17-0106.1, 2018.
Wu, K., Liu, S., Guo, W., Wei, J., Xu, J., Bao, W., and Yao, X.: Glacier change in the western Nyainqêntanglha Range, Tibetan Plateau using historical maps and Landsat imagery: 1970–2014, J. Mt. Sci, 13, 1358–1374, https://doi.org/10.1007/s11629-016-3997-0, 2016.
Wu, K., Liu, S., Zhu, Y., Xie, F., Gao, Y., Qi, M., Miao, W., Duan, S., Han, F., and Grünwald, R.: Monitoring the surface elevation changes of a monsoon temperate glacier with repeated UAV surveys, Mainri Mountains, China, Remote Sens., 14, 2229, https://doi.org/10.3390/rs14092229, 2022.
Xu, C., Li, Z., Wang, P., Anjum, M. N., Li, H., and Wang, F.: Detailed comparison of glaciological and geodetic mass balances for Urumqi Glacier No.1, eastern Tien Shan, China, from 1981 to 2015, Cold Reg. Sci. Technol., 155, 137–148, https://doi.org/10.1016/j.coldregions.2018.08.006, 2018.
Yan, S., Guo, H., Liu, G., and Ruan, Z.: Mountain glacier displacement estimation using a DEM-assisted offset tracking method with ALOS/PALSAR data, Remote Sens. Lett., 4, 494–503, https://doi.org/10.1080/2150704X.2012.754561, 2013.
Yang, H., Yan, S., Liu, G., and Ruan, Z.: Fluctuations and movements of the Kuksai Glacier, western China, derived from Landsat image sequences, J. Appl. Remote. Sens., 8, 084599, https://doi.org/10.1117/1.JRS.8.084599, 2013.
Yao, T., Li, Z., Yang, W., Guo, X., Zhu, L., Kang, S., Wu, Y., and Yu, W.: Glacial distribution and mass balance in the Yarlung Zangbo River and its influence on lakes, Chinese Sci. Bull., 55, 2072–2078, https://doi.org/10.1007/s11434-010-3213-5, 2010.
Yao, T., Thompson, L., Yang, W., Yu, W., Gao, Y., Guo, X., Yang, X., Duan, K., Zhao, H., Xu, B., Pu, J., Lu, A., Xiang, Y., Kattel, D. B., and Joswiak, D.: Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings, Nat. Clim. Change, 2, 663–667, https://doi.org/10.1038/nclimate1580, 2012.
Yao, T., Bolch, T., Chen, D., Gao, J., Immerzeel, W., Piao, S., Su, F., Thompson, L., Wada, Y., Wang, L., Wang, T., Wu, G., Xu, B., Yang, W., Zhang, G., and Zhao, P.: The imbalance of the Asian water tower, Nat. Rev. Earth Environ., 3, 618–632, https://doi.org/10.1038/s43017-022-00299-4, 2022.
Zemp, M., Thibert, E., Huss, M., Stumm, D., Rolstad Denby, C., Nuth, C., Nussbaumer, S. U., Moholdt, G., Mercer, A., Mayer, C., Joerg, P. C., Jansson, P., Hynek, B., Fischer, A., Escher-Vetter, H., Elvehøy, H., and Andreassen, L. M.: Reanalysing glacier mass balance measurement series, The Cryosphere, 7, 1227–1245, https://doi.org/10.5194/tc-7-1227-2013, 2013.
Zemp, M., Frey, H., and Gärtner-Roer, I.: Historically unprecedented global glacier decline in the early 21st century, J. Glaciol., 61, 745–762, https://doi.org/10.3189/2015JoG15J017, 2015.
Zhang, G., Kang, S., Fujita, K., Huintjes, E., Xu, J., Yamazaki, T., Haginoya, S., Wei, Y., Scherer, D., Schneider, C., and Yao, T.: Energy and mass balance of Zhadang glacier surface, central Tibetan Plateau, J. Glaciol., 59, 137–148, https://doi.org/10.3189/2013JoG12J152, 2013.
Zhang, Q. and Zhang, G.: Glacier elevation changes in the western Nyainqêntanglha Range of the Tibetan Plateau as observed by TerraSAR-X/TanDEM-X images, Remote Sens. Lett., 8, 1142–1151, https://doi.org/10.1080/2150704X.2017.1362123, 2017.
Zhang, Z., Liu, S., Wei, J., Xu, J., Guo, W., Bao, W., and Jiang, Z.: Mass change of glaciers in Muztag Ata–Kongur Tagh, eastern Pamir, China from 1971/76 to 2013/14 as derived from remote sensing data, PLoS One, 11, e0147327, https://doi.org/10.1371/journal.pone.0147327, 2016.
Zhou, J., Li, Z., and Guo, W.: Estimation and analysis of the surface velocity field of mountain glaciers in Muztag Ata using satellite SAR data, Environ. Earth Sci., 71, 3581–3592, https://doi.org/10.1007/s12665-013-2749-5, 2014.
Zhou, Y., Li, Z., Li, J., Zhao, R., and Ding, X.: 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 Sens. Environ., 210, 96–112, https://doi.org/10.1016/j.rse.2018.03.020, 2018.
Zhu, M., Yao, T., Yang, W., Maussion, F., Huintjes, E., and Li, S.: Energy- and mass-balance comparison between Zhadang and Parlung No. 4 glaciers on the Tibetan Plateau, J. Glaciol., 61, 595–607, https://doi.org/10.3189/2015JoG14J206, 2015.
Zhu, M., Yao, T., Yang, W., Xu, B., Wu, G., Wang, X., and Xie, Y.: Reconstruction of the mass balance of Muztag Ata No. 15 glacier, eastern Pamir, and its climatic drivers, J. Glaciol., 64, 259–274, https://doi.org/10.1017/jog.2018.16, 2018a.
Zhu, M., Yao, T., Yang, W., Xu, B., Wu, G., and Wang, X.: Differences in mass balance behavior for three glaciers from different climatic regions on the Tibetan Plateau, Clim. Dynam., 50, 3457–3484, https://doi.org/10.1007/s00382-017-3817-4, 2018b.
Short summary
Because glaciers are crucial freshwater sources in the lowlands surrounding High Mountain Asia, constraining short-term glacier mass changes is essential. We investigate the potential of state-of-the-art satellite elevation data to measure glacier mass changes in two selected regions. The results demonstrate the ability of our dataset to characterize glacier changes of different magnitudes, allowing for an increase in the number of inaccessible glaciers that can be readily monitored.
Because glaciers are crucial freshwater sources in the lowlands surrounding High Mountain Asia,...
