Articles | Volume 18, issue 12
https://doi.org/10.5194/tc-18-5653-2024
© Author(s) 2024. 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-18-5653-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Dec 2024
Research article |
| 05 Dec 2024
| 05 Dec 2024
Reanalysis of the longest mass balance series in Himalaya using a nonlinear model: Chhota Shigri Glacier (India)
Mohd Farooq Azam
CORRESPONDING AUTHOR
Department of Civil Engineering, Indian Institute of Technology Indore, Simrol, 453552, India
Christian Vincent
Institut des Géosciences de l'Environnement (IGE, UMR 5001), Université Grenoble Alpes, CNRS, IRD, Grenoble-INP, INRAE, 38000 Grenoble, France
Smriti Srivastava
Department of Civil Engineering, Indian Institute of Technology Indore, Simrol, 453552, India
Department of Geography, University of Utah, Salt Lake City, Utah, USA
Etienne Berthier
Université de Toulouse, LEGOS (CNES/CNRS/IRD/UT3), Toulouse, 31400, France
Patrick Wagnon
Institut des Géosciences de l'Environnement (IGE, UMR 5001), Université Grenoble Alpes, CNRS, IRD, Grenoble-INP, INRAE, 38000 Grenoble, France
Himanshu Kaushik
Department of Civil Engineering, Indian Institute of Technology Indore, Simrol, 453552, India
Md. Arif Hussain
Department of Civil Engineering, Indian Institute of Technology Indore, Simrol, 453552, India
Manoj Kumar Munda
Department of Civil Engineering, Indian Institute of Technology Indore, Simrol, 453552, India
Arindan Mandal
Interdisciplinary Centre for Water Research, Indian Institute of Science, Bengaluru 560012, India
Alagappan Ramanathan
School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110067, India
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Jonathan P. Conway, Jakob Abermann, Liss M. Andreassen, Mohd Farooq Azam, Nicolas J. Cullen, Noel Fitzpatrick, Rianne H. Giesen, Kirsty Langley, Shelley MacDonell, Thomas Mölg, Valentina Radić, Carleen H. Reijmer, and Jean-Emmanuel Sicart
The Cryosphere, 16, 3331–3356, https://doi.org/10.5194/tc-16-3331-2022, https://doi.org/10.5194/tc-16-3331-2022, 2022
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We used data from automatic weather stations on 16 glaciers to show how clouds influence glacier melt in different climates around the world. We found surface melt was always more frequent when it was cloudy but was not universally faster or slower than under clear-sky conditions. Also, air temperature was related to clouds in opposite ways in different climates – warmer with clouds in cold climates and vice versa. These results will help us improve how we model past and future glacier melt.
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Revised manuscript not accepted
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Atmospheric Rivers–– long and narrow plumes of intense horizontal water vapor transport in the lower part of the atmosphere––have been recognized among the key agents delivering extreme rainfall/snowfall over many mountainous regions around the globe. The Himalayas is an important exception where research on impacts of ARs is lacking. We develop a comprehensive ERA5-based database of ARs penetrating the foothills of the Himalayas, with a vision to flourish future research in this area.
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This preprint is open for discussion and under review for The Cryosphere (TC).
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Inés Dussaillant, Romain Hugonnet, Matthias Huss, Etienne Berthier, Jacqueline Bannwart, Frank Paul, and Michael Zemp
Earth Syst. Sci. Data, 17, 1977–2006, https://doi.org/10.5194/essd-17-1977-2025, https://doi.org/10.5194/essd-17-1977-2025, 2025
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Our research observes glacier mass changes worldwide from 1976 to 2024, revealing an alarming increase in melt, especially in the last decade and the record year of 2023. By combining field and satellite observations, we provide annual mass changes for all glaciers in the world, showing significant contributions to global sea level rise. This work underscores the need for ongoing local monitoring and global climate action to mitigate the effects of glacier loss and its broader environmental impacts.
Stephan Harrison, Adina Racoviteanu, Sarah Shannon, Darren Jones, Karen Anderson, Neil Glasser, Jasper Knight, Anna Ranger, Arindan Mandal, Brahma Dutt Vishwakarma, Jeffrey Kargel, Dan Shugar, Umesh Haritishaya, Dongfeng Li, Aristeidis Koutroulis, Klaus Wyser, and Sam Inglis
EGUsphere, https://doi.org/10.5194/egusphere-2024-4033, https://doi.org/10.5194/egusphere-2024-4033, 2025
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Climate change is leading to a global recession of mountain glaciers, and numerical modelling suggests that this will result in the eventual disappearance of many glaciers, impacting water supplies. However, an alternative scenario suggests that increased rock fall and debris flows to valley bottoms will cover glaciers with thick rock debris, slowing melting and transforming glaciers into rock-ice mixtures called rock glaciers. This paper explores these scenarios.
Juan-Pedro Roldán-Blasco, Adrien Gilbert, Luc Piard, Florent Gimbert, Christian Vincent, Olivier Gagliardini, Anuar Togaibekov, Andrea Walpersdorf, and Nathan Maier
The Cryosphere, 19, 267–282, https://doi.org/10.5194/tc-19-267-2025, https://doi.org/10.5194/tc-19-267-2025, 2025
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The flow of glaciers and ice sheets results from ice deformation and basal sliding driven by gravitational forces. Quantifying the rate at which ice deforms under its own weight is critical for assessing glacier evolution. This study uses borehole instrumentation in an Alpine glacier to quantify ice deformation and constrain ice viscosity in a natural setting. Our results show that the viscosity of ice at 0 °C is largely influenced by interstitial liquid water, which enhances ice deformation.
Enrico Mattea, Etienne Berthier, Amaury Dehecq, Tobias Bolch, Atanu Bhattacharya, Sajid Ghuffar, Martina Barandun, and Martin Hoelzle
The Cryosphere, 19, 219–247, https://doi.org/10.5194/tc-19-219-2025, https://doi.org/10.5194/tc-19-219-2025, 2025
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We reconstruct the evolution of terminus position, ice thickness, and surface flow velocity of the reference Abramov glacier (Kyrgyzstan) from 1968 to present. We describe a front pulsation in the early 2000s and the multi-annual present-day buildup of a new pulsation. Such dynamic instabilities can challenge the representativity of Abramov as a reference glacier. For our work we used satellite‑based optical remote sensing from multiple platforms, including recently declassified archives.
Navaraj Pokhrel, Patrick Wagnon, Fanny Brun, Arbindra Khadka, Tom Matthews, Audrey Goutard, Dibas Shrestha, Baker Perry, and Marion Réveillet
The Cryosphere, 18, 5913–5920, https://doi.org/10.5194/tc-18-5913-2024, https://doi.org/10.5194/tc-18-5913-2024, 2024
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We studied snow processes in the accumulation area of Mera Glacier (central Himalaya, Nepal) by deploying a cosmic ray counting sensor that allows one to track the evolution of snow water equivalent. We suspect significant surface melting, water percolation, and refreezing within the snowpack, which might be missed by traditional mass balance surveys.
Etienne Berthier, Jérôme Lebreton, Delphine Fontannaz, Steven Hosford, Joaquín Muñoz-Cobo Belart, Fanny Brun, Liss M. Andreassen, Brian Menounos, and Charlotte Blondel
The Cryosphere, 18, 5551–5571, https://doi.org/10.5194/tc-18-5551-2024, https://doi.org/10.5194/tc-18-5551-2024, 2024
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Repeat elevation measurements are crucial for monitoring glacier health and to understand how glaciers affect river flows and sea level. Until recently, high-resolution elevation data were mostly available for polar regions and High Mountain Asia. Our project, the Pléiades Glacier Observatory, now provides high-resolution topographies of 140 glacier sites worldwide. This is a novel and open dataset to monitor the impact of climate change on glaciers at high resolution and accuracy.
Livia Piermattei, Michael Zemp, Christian Sommer, Fanny Brun, Matthias H. Braun, Liss M. Andreassen, Joaquín M. C. Belart, Etienne Berthier, Atanu Bhattacharya, Laura Boehm Vock, Tobias Bolch, Amaury Dehecq, Inés Dussaillant, Daniel Falaschi, Caitlyn Florentine, Dana Floricioiu, Christian Ginzler, Gregoire Guillet, Romain Hugonnet, Matthias Huss, Andreas Kääb, Owen King, Christoph Klug, Friedrich Knuth, Lukas Krieger, Jeff La Frenierre, Robert McNabb, Christopher McNeil, Rainer Prinz, Louis Sass, Thorsten Seehaus, David Shean, Désirée Treichler, Anja Wendt, and Ruitang Yang
The Cryosphere, 18, 3195–3230, https://doi.org/10.5194/tc-18-3195-2024, https://doi.org/10.5194/tc-18-3195-2024, 2024
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Satellites have made it possible to observe glacier elevation changes from all around the world. In the present study, we compared the results produced from two different types of satellite data between different research groups and against validation measurements from aeroplanes. We found a large spread between individual results but showed that the group ensemble can be used to reliably estimate glacier elevation changes and related errors from satellite data.
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Christian Vincent and Emmanuel Thibert
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Temperature-index models have been widely used for glacier mass projections in the future. The ability of these models to capture non-linear responses of glacier mass balance (MB) to high deviations in air temperature and solid precipitation has recently been questioned by mass balance simulations employing advanced machine-learning techniques. Here, we confirmed that temperature-index models are capable of detecting non-linear responses of glacier MB to temperature and precipitation changes.
Rubén Basantes-Serrano, Antoine Rabatel, Bernard Francou, Christian Vincent, Alvaro Soruco, Thomas Condom, and Jean Carlo Ruíz
The Cryosphere, 16, 4659–4677, https://doi.org/10.5194/tc-16-4659-2022, https://doi.org/10.5194/tc-16-4659-2022, 2022
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We assessed the volume variation of 17 glaciers on the Antisana ice cap, near the Equator. We used aerial and satellite images for the period 1956–2016. We highlight very negative changes in 1956–1964 and 1979–1997 and slightly negative or even positive conditions in 1965–1978 and 1997–2016, the latter despite the recent increase in temperatures. Glaciers react according to regional climate variability, while local humidity and topography influence the specific behaviour of each glacier.
Maximillian Van Wyk de Vries, Shashank Bhushan, Mylène Jacquemart, César Deschamps-Berger, Etienne Berthier, Simon Gascoin, David E. Shean, Dan H. Shugar, and Andreas Kääb
Nat. Hazards Earth Syst. Sci., 22, 3309–3327, https://doi.org/10.5194/nhess-22-3309-2022, https://doi.org/10.5194/nhess-22-3309-2022, 2022
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On 7 February 2021, a large rock–ice avalanche occurred in Chamoli, Indian Himalaya. The resulting debris flow swept down the nearby valley, leaving over 200 people dead or missing. We use a range of satellite datasets to investigate how the collapse area changed prior to collapse. We show that signs of instability were visible as early 5 years prior to collapse. However, it would likely not have been possible to predict the timing of the event from current satellite datasets.
Sarvagya Vatsal, Anshuman Bhardwaj, Mohd Farooq Azam, Arindan Mandal, Alagappan Ramanathan, Ishmohan Bahuguna, N. Janardhana Raju, and Sangita Singh Tomar
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-311, https://doi.org/10.5194/essd-2022-311, 2022
Manuscript not accepted for further review
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Glaciers in Chandra-Bhaga Basin, western Himalaya, India have huge socio-economic importance as a large population is dependent on these glaciers for drinking and irrigation water purposes. To quantify Spatio-temporal changes in the glaciers of this basin, our study provides three major datasets. These include multidecadal glacier inventory, debris cover, and ice thickness estimates. These datasets will benefit future glacier as well as policy based studies at both local and regional scales.
Arindan Mandal, Thupstan Angchuk, Mohd Farooq Azam, Alagappan Ramanathan, Patrick Wagnon, Mohd Soheb, and Chetan Singh
The Cryosphere, 16, 3775–3799, https://doi.org/10.5194/tc-16-3775-2022, https://doi.org/10.5194/tc-16-3775-2022, 2022
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Snow sublimation is an important component of glacier surface mass balance; however, it is seldom studied in detail in the Himalayan region owing to data scarcity. We present an 11-year record of wintertime snow-surface energy balance and sublimation characteristics at the Chhota Shigri Glacier moraine site at 4863 m a.s.l. The estimated winter sublimation is 16 %–42 % of the winter snowfall at the study site, which signifies how sublimation is important in the Himalayan region.
Mohd Soheb, Alagappan Ramanathan, Anshuman Bhardwaj, Millie Coleman, Brice R. Rea, Matteo Spagnolo, Shaktiman Singh, and Lydia Sam
Earth Syst. Sci. Data, 14, 4171–4185, https://doi.org/10.5194/essd-14-4171-2022, https://doi.org/10.5194/essd-14-4171-2022, 2022
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This study provides a multi-temporal inventory of glaciers in the Ladakh region. The study records data on 2257 glaciers (>0.5 km2) covering an area of ~7923 ± 106 km2 which is equivalent to ~89 % of the total glacierised area of the Ladakh region. It will benefit both the scientific community and the administration of the Union Territory of Ladakh, in developing efficient mitigation and adaptation strategies by improving the projections of change on timescales relevant to policymakers.
Jonathan P. Conway, Jakob Abermann, Liss M. Andreassen, Mohd Farooq Azam, Nicolas J. Cullen, Noel Fitzpatrick, Rianne H. Giesen, Kirsty Langley, Shelley MacDonell, Thomas Mölg, Valentina Radić, Carleen H. Reijmer, and Jean-Emmanuel Sicart
The Cryosphere, 16, 3331–3356, https://doi.org/10.5194/tc-16-3331-2022, https://doi.org/10.5194/tc-16-3331-2022, 2022
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We used data from automatic weather stations on 16 glaciers to show how clouds influence glacier melt in different climates around the world. We found surface melt was always more frequent when it was cloudy but was not universally faster or slower than under clear-sky conditions. Also, air temperature was related to clouds in opposite ways in different climates – warmer with clouds in cold climates and vice versa. These results will help us improve how we model past and future glacier melt.
Stefan Fugger, Catriona L. Fyffe, Simone Fatichi, Evan Miles, Michael McCarthy, Thomas E. Shaw, Baohong Ding, Wei Yang, Patrick Wagnon, Walter Immerzeel, Qiao Liu, and Francesca Pellicciotti
The Cryosphere, 16, 1631–1652, https://doi.org/10.5194/tc-16-1631-2022, https://doi.org/10.5194/tc-16-1631-2022, 2022
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The monsoon is important for the shrinking and growing of glaciers in the Himalaya during summer. We calculate the melt of seven glaciers in the region using a complex glacier melt model and weather data. We find that monsoonal weather affects glaciers that are covered with a layer of rocky debris and glaciers without such a layer in different ways. It is important to take so-called turbulent fluxes into account. This knowledge is vital for predicting the future of the Himalayan glaciers.
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.
Christian Vincent, Diego Cusicanqui, Bruno Jourdain, Olivier Laarman, Delphine Six, Adrien Gilbert, Andrea Walpersdorf, Antoine Rabatel, Luc Piard, Florent Gimbert, Olivier Gagliardini, Vincent Peyaud, Laurent Arnaud, Emmanuel Thibert, Fanny Brun, and Ugo Nanni
The Cryosphere, 15, 1259–1276, https://doi.org/10.5194/tc-15-1259-2021, https://doi.org/10.5194/tc-15-1259-2021, 2021
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In situ glacier point mass balance data are crucial to assess climate change in different regions of the world. Unfortunately, these data are rare because huge efforts are required to conduct in situ measurements on glaciers. Here, we propose a new approach from remote sensing observations. The method has been tested on the Argentière and Mer de Glace glaciers (France). It should be possible to apply this method to high-spatial-resolution satellite images and on numerous glaciers in the world.
Munir Ahmad Nayak, M. Farooq Azam, and Rosa Vellosa Lyngwa
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-397, https://doi.org/10.5194/essd-2020-397, 2021
Revised manuscript not accepted
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Atmospheric Rivers–– long and narrow plumes of intense horizontal water vapor transport in the lower part of the atmosphere––have been recognized among the key agents delivering extreme rainfall/snowfall over many mountainous regions around the globe. The Himalayas is an important exception where research on impacts of ARs is lacking. We develop a comprehensive ERA5-based database of ARs penetrating the foothills of the Himalayas, with a vision to flourish future research in this area.
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.
Vincent Peyaud, Coline Bouchayer, Olivier Gagliardini, Christian Vincent, Fabien Gillet-Chaulet, Delphine Six, and Olivier Laarman
The Cryosphere, 14, 3979–3994, https://doi.org/10.5194/tc-14-3979-2020, https://doi.org/10.5194/tc-14-3979-2020, 2020
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Alpine glaciers are retreating at an accelerating rate in a warming climate. Numerical models allow us to study and anticipate these changes, but the performance of a model is difficult to evaluate. So we compared an ice flow model with the long dataset of observations obtained between 1979 and 2015 on Mer de Glace (Mont Blanc area). The model accurately reconstructs the past evolution of the glacier. We simulate the future evolution of Mer de Glace; it could retreat by 2 to 6 km by 2050.
César Deschamps-Berger, Simon Gascoin, Etienne Berthier, Jeffrey Deems, Ethan Gutmann, Amaury Dehecq, David Shean, and Marie Dumont
The Cryosphere, 14, 2925–2940, https://doi.org/10.5194/tc-14-2925-2020, https://doi.org/10.5194/tc-14-2925-2020, 2020
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We evaluate a recent method to map snow depth based on satellite photogrammetry. We compare it with accurate airborne laser-scanning measurements in the Sierra Nevada, USA. We find that satellite data capture the relationship between snow depth and elevation at the catchment scale and also small-scale features like snow drifts and avalanche deposits. We conclude that satellite photogrammetry stands out as a convenient method to estimate the spatial distribution of snow depth in high mountains.
Cited articles
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.
Andreassen, L. M., Nagy, T., Kjøllmoen, B., and Leigh, J. R.: An inventory of Norway's glaciers and ice-marginal lakes from 2018–19 Sentinel-2 data, J. Glaciol., 68, 1085–1106, https://doi.org/10.1017/jog.2022.20, 2022.
Azam, M. F.: Need of integrated monitoring on reference glacier catchments for future water security in Himalaya, Water Security, 14, 100098, https://doi.org/10.1016/j.wasec.2021.100098, 2021.
Azam, M. F., Wagnon, P., Ramanathan, A., Vincent, C., Sharma, P., Arnaud, Y., Linda, A., Pottakkal, J. G., Chevallier, P., Singh, V. B., and Berthier, E.: From balance to imbalance: a shift in the dynamic behaviour of Chhota Shigri glacier, western Himalaya, India, J. Glaciol., 58, 315–324, https://doi.org/10.3189/2012JoG11J123, 2012.
Azam, M. F., Wagnon, P., Vincent, C., Ramanathan, A., Linda, A., and Singh, V. B.: Reconstruction of the annual mass balance of Chhota Shigri glacier, Western Himalaya, India, since 1969, Ann. Glaciol., 55, 69–80, https://doi.org/10.3189/2014AoG66A104, 2014.
Azam, M. F., Ramanathan, A., Wagnon, P., Vincent, C., Linda, A., Berthier, E., Sharma, P., Mandal, A., Angchuk, T., Singh, V. B., and Pottakkal, J. G.: Meteorological conditions, seasonal and annual mass balances of Chhota Shigri Glacier, western Himalaya, India, Ann. Glaciol., 57, 328–338, https://doi.org/10.3189/2016AoG71A570, 2016.
Azam, M. F., Wagnon, P., Berthier, E., Vincent, C., Fujita, K., and Kargel, J. S.: Review of the status and mass changes of Himalayan-Karakoram glaciers, J. Glaciol., 64, 61–74, https://doi.org/10.1017/jog.2017.86, 2018.
Azam, M. F., Kargel, J. S., Shea, J. M., Nepal, S., Haritashya, U. K., Srivastava, S., Maussion, F., Qazi, N., Chevallier, P., Dimri, A. P., Kulkarni, A. V., Cogley, J. G., and Bahuguna, I.: Glaciohydrology of the Himalaya-Karakoram, Science, 373, eabf3668, https://doi.org/10.1126/science.abf3668, 2021.
Banerjee, A. and Shankar, R.: On the response of Himalayan glaciers to climate change, J. Glaciol., 59, 480–490, https://doi.org/10.3189/2013JoG12J130, 2013.
Barandun, M., Pohl, E., Naegeli, K., McNabb, R., Huss, M., Berthier, E., Saks, T., and Hoelzle, M.: Hot Spots of Glacier Mass Balance Variability in Central Asia, Geophys. Res. Lett., 48, e2020GL092084, https://doi.org/10.1029/2020GL092084, 2021.
Basantes-Serrano, R., Rabatel, A., Francou, B., Vincent, C., Maisincho, L., Cáceres, B., Galarraga, R., and Alvarez, D.: Slight mass loss revealed by reanalyzing glacier mass-balance observations on Glacier Antisana 15α (inner tropics) during the 1995–2012 period, J. Glaciol., 62, 124–136, https://doi.org/10.1017/jog.2016.17, 2016.
Berthier, E., Arnaud, Y., Kumar, R., Ahmad, S., Wagnon, P., and Chevallier, P.: Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya, India), Remote Sens. Environ., 108, 327–338, https://doi.org/10.1016/j.rse.2006.11.017, 2007.
Berthier, E., Floricioiu, D., Gardner, A. S., Gourmelen, N., Jakob, L., Paul, F., Treichler, D., Wouters, B., Belart, J. M. C., Dehecq, A., Dussaillant, I., Hugonnet, R., Kaab, A. M., Krieger, L., Pálsson, F., and Zemp, M.: Measuring Glacier Mass Changes from Space – A Review, Rep. Prog. Phys., 86, 036801, https://doi.org/10.1088/1361-6633/acaf8e, 2023.
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., 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: Mountains, Climate Change, Sustainability and People, edited by: Wester, P., Mishra, A., Mukherji, A., and Shrestha, A. B., Springer International Publishing, Cham, 209–255, https://doi.org/10.1007/978-3-319-92288-1_7, 2019.
Brun, F., Dumont, M., Wagnon, P., Berthier, E., Azam, M. F., Shea, J. M., Sirguey, P., Rabatel, A., and Ramanathan, Al.: Seasonal changes in surface albedo of Himalayan glaciers from MODIS data and links with the annual mass balance, The Cryosphere, 9, 341–355, https://doi.org/10.5194/tc-9-341-2015, 2015.
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.
Chand, P. and Sharma, M. C.: Frontal changes in the Manimahesh and Tal Glaciers in the Ravi basin, Himachal Pradesh, northwestern Himalaya (India), between 1971 and 2013, Int. J. Remote Sens., 36, 4095–4113, https://doi.org/10.1080/01431161.2015.1074300, 2015.
Cogley, J. G.: 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://doi.org/10.5167/uzh-53475, 2011.
Cuffey, K. M. and Paterson, W. S. B.: The Physics of Glaciers, Elsevier, 4th edn., 721 pp., ISBN 978-0-12-369461-4, 2010.
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.
Falaschi, D., Bhattacharya, A., Guillet, G., Huang, L., King, O., Mukherjee, K., Rastner, P., Yao, T., and Bolch, T.: Annual to seasonal glacier mass balance in High Mountain Asia derived from Pléiades stereo images: examples from the Pamir and the Tibetan Plateau, The Cryosphere, 17, 5435–5458, https://doi.org/10.5194/tc-17-5435-2023, 2023.
Funk, M., Morelli, R., and Stahel, W.: Mass balance of Griesgletscher 1961-1994: Different methods of determination, Zeitschrift für Gletscherkunde und Glazialgeologie, Universitätsverlag Wagner, 33, 41–56, https://www.research-collection.ethz.ch/handle/20.500.11850/483464, 1997.
Gantayat, P. and Ramsankaran, R.: Modelling evolution of a large, glacier-fed lake in the Western Indian Himalaya, Sci. Rep., 13, 1840, https://doi.org/10.1038/s41598-023-28144-8, 2023.
Gardner, A., Moholdt, G., Cogley, J., Wouters, B., Arendt, A., Wahr, J., Berthier, E., Hock, R., Pfeffer, W., Kaser, G., Ligtenberg, S., Bolch, T., Sharp, M., Hagen, J., Van den Broeke, M., and Paul, F.: A Reconciled Estimate of Glacier Contributions to Sea Level Rise: 2003 to 2009, Science, 340, 852–857, https://doi.org/10.1126/science.1234532, 2013.
Garg, P. K., Shukla, A., and Jasrotia, A. S.: Influence of topography on glacier changes in the central Himalaya, India, Global Planet. Change, 155, 196–212, https://doi.org/10.1016/j.gloplacha.2017.07.007, 2017.
GLACIOCLIM Observation Service: GLACIOCLIM Observation Service [data set], https://glacioclim.osug.fr, last access: 27 November 2024.
Haq, M. A., Azam, M. F., and Vincent, C.: Efficiency of artificial neural networks for glacier ice-thickness estimation: a case study in western Himalaya, India, J. Glaciol., 67, 671–684, https://doi.org/10.1017/jog.2021.19, 2021.
Harrison, S., Kargel, J. S., Huggel, C., Reynolds, J., Shugar, D. H., Betts, R. A., Emmer, A., Glasser, N., Haritashya, U. K., Klimeš, J., Reinhardt, L., Schaub, Y., Wiltshire, A., Regmi, D., and Vilímek, V.: Climate change and the global pattern of moraine-dammed glacial lake outburst floods, The Cryosphere, 12, 1195–1209, https://doi.org/10.5194/tc-12-1195-2018, 2018.
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, 2021.
Huss, M. and Bauder, A.: 20th-century climate change inferred from four long-term point observations of seasonal mass balance, Ann. Glaciol., 50, 207–214, https://doi.org/10.3189/172756409787769645, 2009.
Huss, M., Bauder, A., and Funk, M.: Homogenization of long-term mass-balance time series, Ann. Glaciol., 50, 198–206, https://doi.org/10.3189/172756409787769627, 2009.
Jackson, M., Azam, M. F., Baral, P., Benestad, R., Brun, F., Muhammad, S., Pradhananga, S., Shrestha, F., Steiner, J. F., and Thapa, A.: Chapter 2: Consequences of climate change for the cryosphere in the Hindu Kush Himalaya, in: Water, ice, society, and ecosystems in the Hindu Kush Himalaya : An outlook, edited by: Wester, P., Chaudhary, S., Chettri, N., Jackson, M., Maharjan, A., Nepal, S., and Steiner, J. F., International Centre for Integrated Mountain Development (ICIMOD) Nepal, https://doi.org/10.53055/ICIMOD.1030, 2023.
Kuhn, M.: Mass Budget Imbalances as Criterion for a Climatic Classification of Glaciers, Geogr. Ann. A, 66, 229–238, https://doi.org/10.2307/520696, 1984.
Kumar, A., Verma, A., Gokhale, A., Bhambri, R., Misra, A., Sundriyal, S., Dobhal, D., and Kishore, N.: Hydrometeorological assessments and suspended sediment delivery from a central Himalayan glacier in the upper Ganga basin, Int. J. Sediment Res., 33, 493–509, https://doi.org/10.1016/j.ijsrc.2018.03.004, 2018.
Laha, S., Kumari, R., Singh, S., Mishra, A., Sharma, T., Banerjee, A., Nainwal, H. C., and Shankar, R.: Evaluating the contribution of avalanching to the mass balance of Himalayan glaciers, Ann. Glaciol., 58, 110–118, https://doi.org/10.1017/aog.2017.27, 2017.
Lliboutry, L.: Multivariate Statistical Analysis of Glacier Annual Balances, J. Glaciol., 13, 371–392, https://doi.org/10.3189/S0022143000023169, 1974.
Mandal, A., Ramanathan, A., Azam, M. F., Angchuk, T., Soheb, M., Kumar, N., Pottakkal, J. G., Vatsal, S., Mishra, S., and Singh, V. B.: Understanding the interrelationships among mass balance, meteorology, discharge and surface velocity on Chhota Shigri Glacier over 2002–2019 using in situ measurements, J. Glaciol., 66, 727–741, https://doi.org/10.1017/jog.2020.42, 2020.
Mandal, A., Angchuk, T., Azam, M. F., Ramanathan, A., Wagnon, P., Soheb, M., and Singh, C.: An 11-year record of wintertime snow-surface energy balance and sublimation at 4863
Miles, E., McCarthy, M., Dehecq, A., Kneib, M., Fugger, S., and Pellicciotti, F.: Health and sustainability of glaciers in High Mountain Asia, Nat. Commun., 12, 2868, https://doi.org/10.1038/s41467-021-23073-4, 2021.
Mukherjee, K., Bhattacharya, A., Pieczonka, T., Ghosh, S., and Bolch, T.: Glacier mass budget and climate reanalysis data indicate a climatic shift around 2000 in Lahaul-Spiti, western Himalaya, Climatic Change, 148, 219–233, https://doi.org/10.1007/s10584-018-2185-3, 2018.
Nepal, S., Steiner, J. F., Allen, S., Azam, M. F., Bhuchar, S., Biemans, H., Dhakal, M., Khanal, S., Li, D., Lutz, A., Pradhananga, S., Ritzema, R., Stoffel, M., and Stuart-Smith, R.: Chapter 3: Consequences of cryospheric change for water resources and hazards in the Hindu Kush Himalaya, in: Water, ice, society, and ecosystems in the Hindu Kush Himalaya: An outlook, edited by: Wester, P., Chaudhary, S., Chettri, N., Jackson, M., Maharjan, A., Nepal, S., and Steiner, J. F., International Centre for Integrated Mountain Development (ICIMOD) Nepal, https://doi.org/10.53055/ICIMOD.1031, 2023.
Oerlemans, J.: Glaciers and Climate Change, CRC Press, ISBN 9789026518133, 160 pp., 2001.
Østrem, G. and Brugman, M.: Glacier mass-balance measurements: a manual for field and office work, NHRI Science Report No. 4, Canada, ISBN 0-662-19000-9, 1991.
Østrem, G. and Stanley, A.: Glacier and mass balance measurements, a manual for field and office work: a guide for personnel with limited backgrounds in glaciology, prepared jointly by the Canadian Department of Energy, Mines and Resources, and the Norwegian Water Resources and Electricity Board, IWB Reprint Series No. 66, Inland Waters Branch, Department of the Environment, Ottawa, Ontario, 118 pp., Revision of 1966 edition, https://publikasjoner.nve.no/diverse/1969/glaciermassbalance1969.pdf (last access: 30 March 2024), 1969.
Oulkar, S. N., Thamban, M., Sharma, P., Pratap, B., Singh, A. T., Patel, L. K., Pramanik, A. and Ravichandran, M.: Energy fluxes, mass balance, and climate sensitivity of the Sutri Dhaka Glacier in the western Himalaya, Front. Earth Sci., 10, 949735, https://doi.org/10.3389/feart.2022.949735 , 2022.
Rabatel, A., Dedieu, J.-P., and Vincent, C.: Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series: validation on three French glaciers, 1994–2002, J. Glaciol., 51, 539–546, https://doi.org/10.3189/172756505781829106, 2005.
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.
Ramsankaran, R., Pandit, A., and Azam, M. F.: Spatially distributed ice-thickness modelling for Chhota Shigri Glacier in western Himalayas, India, Int. J. Remote Sens., 39, 3320–3343, https://doi.org/10.1080/01431161.2018.1441563, 2018.
Raup, B., Racoviteanu, A., Khalsa, S. J. S., Helm, C., Armstrong, R., and Arnaud, Y.: The GLIMS geospatial glacier database: A new tool for studying glacier change, Global Planet. Change, 56, 101–110, https://doi.org/10.1016/j.gloplacha.2006.07.018, 2007.
Romshoo, S. A., Murtaza, K. O., and Abdullah, T.: Towards understanding various influences on mass balance of the Hoksar Glacier in the Upper Indus Basin using observations, Sci. Rep., 12, 15669, https://doi.org/10.1038/s41598-022-20033-w, 2022.
Romshoo, S. A., Abdullah, T., Murtaza, K. O., and Bhat, M. H.: Direct, geodetic and simulated mass balance studies of the Kolahoi Glacier in the Kashmir Himalaya, India, J. Hydrol., 617, 129019. https://doi.org/10.1016/j.jhydrol.2022.129019, 2023.
Rounce, D. R., Hock, R., Maussion, F., Hugonnet, R., Kochtitzky, W., Huss, M., Berthier, E., Brinkerhoff, D., Compagno, L., Copland, L., Farinotti, D., Menounos, B., and McNabb, R. W.: Global glacier change in the 21st century: Every increase in temperature matters, Science, 379, 78–83, https://doi.org/10.1126/science.abo1324, 2023.
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.
Shugar, D. H., Jacquemart, M., Shean, D., Bhushan, S., Upadhyay, K., Sattar, A., Schwanghart, W., McBride, S., De Vries, M. V. W., Mergili, M., Emmer, A., Deschamps-Berger, C., McDonnell, M., Bhambri, R., Allen, S., Berthier, E., Carrivick, J. L., Clague, J. J., Dokukin, M., Dunning, S. A., Frey, H., Gascoin, S., Haritashya, U. K., Huggel, C., Kääb, A., Kargel, J. S., Kavanaugh, J. L., Lacroix, P., Petley, D., Rupper, S., Azam, M. F., Cook, S. J., Dimri, A. P., Eriksson, M., Farinotti, D., Fiddes, J., Gnyawali, K. R., Harrison, S., Jha, M., Koppes, M., Kumar, A., Leinss, S., Majeed, U., Mal, S., Muhuri, A., Noetzli, J., Paul, F., Rashid, I., Sain, K., Steiner, J., Ugalde, F., Watson, C. S., and Westoby, M. J.: A massive rock and ice avalanche caused the 2021 disaster at Chamoli, Indian Himalaya, Science, 373, 300–306, https://doi.org/10.1126/science.abh4455, 2021.
Shukla, A. and Qadir, J.: Differential response of glaciers with varying debris cover extent: evidence from changing glacier parameters, Int. J. Remote Sens., 37, 2453–2479, https://doi.org/10.1080/01431161.2016.1176272, 2016.
Shukla, A., Garg, P. K., and Srivastava, S.: Evolution of Glacial and High-Altitude Lakes in the Sikkim, Eastern Himalaya Over the Past Four Decades (1975–2017), Front. Environ. Sci., 6, 81, https://doi.org/10.3389/fenvs.2018.00081, 2018.
Soruco, A., Vincent, C., Francou, B., Ribstein, P., Berger, T., Sicart, J. E., Wagnon, P., Arnaud, Y., Favier, V., and Lejeune, Y.: Mass Balance of Glaciar Zongo, Bolivia, between 1956 and 2006, using glaciological, hydrological and geodetic methods, Ann. Glaciol., 50, 1–8, https://doi.org/10.3189/172756409787769799, 2009.
Srivastava, S. and Azam, M. F.: Mass- and Energy-Balance Modeling and Sublimation Losses on Dokriani Bamak and Chhota Shigri Glaciers in Himalaya Since 1979, Frontiers in Water, 4, 874240, https://doi.org/10.3389/frwa.2022.874240, 2022a.
Srivastava, S. and Azam, M. F.: Functioning of glacierized catchments in Monsoon and Alpine regimes of Himalaya, J. Hydrol., 609, 127671, https://doi.org/10.1016/j.jhydrol.2022.127671, 2022b.
Srivastava, S., Garg, P. K., and Azam, M. F.: Seven Decades of Dimensional and Mass Balance Changes on Dokriani Bamak and Chhota Shigri Glaciers, Indian Himalaya, Using Satellite Data and Modelling, J. Indian Soc. Remote, 50, 37–54, https://doi.org/10.1007/s12524-021-01455-x, 2022.
Stokes, C. R., Clark, C. D., Lian, O. B., and Tulaczyk, S.: Ice stream sticky spots: A review of their identification and influence beneath contemporary and palaeo-ice streams, Earth-Sci. Rev., 81, 217–249, https://doi.org/10.1016/j.earscirev.2007.01.002, 2007.
Stumm, D., Joshi, S. P., Gurung, T. R., and Silwal, G.: Mass balances of Yala and Rikha Samba glaciers, Nepal, from 2000 to 2017, Earth Syst. Sci. Data, 13, 3791–3818, https://doi.org/10.5194/essd-13-3791-2021, 2021.
Sunako, S., Fujita, K., Sakai, A., and Kayastha, R.: Mass balance of Trambau Glacier, Rolwaling region, Nepal Himalaya: In-situ observations, long-term reconstruction and mass-balance sensitivity, J. Glaciol., 65, 605–616, https://doi.org/10.1017/jog.2019.37, 2019.
Thibert, E., Blanc, R., Vincent, C., and Eckert, N.: Glaciological and volumetric mass-balance measurements: error analysis over 51 years for Glacier de Sarennes, French Alps, J. Glaciol., 54, 522–532, https://doi.org/10.3189/002214308785837093, 2008.
Thibert, E., Eckert, N., and Vincent, C.: Climatic drivers of seasonal glacier mass balances: an analysis of 6 decades at Glacier de Sarennes (French Alps), The Cryosphere, 7, 47–66, https://doi.org/10.5194/tc-7-47-2013, 2013.
Tshering, P. and Fujita, K.: First in situ record of decadal glacier mass balance (2003–2014) from the Bhutan Himalaya, Ann. Glaciol., 57, 289–294, https://doi.org/10.3189/2016AoG71A036, 2016.
Vincent, C. and Six, D.: Relative contribution of solar radiation and temperature in enhanced temperature-index melt models from a case study at Glacier de Saint-Sorlin, France, Ann. Glaciol., 54, 11–17, https://doi.org/10.3189/2013AoG63A301, 2013.
Vincent, C., Ramanathan, Al., Wagnon, P., Dobhal, D. P., Linda, A., Berthier, E., Sharma, P., Arnaud, Y., Azam, M. F., Jose, P. G., and Gardelle, J.: Balanced conditions or slight mass gain of glaciers in the Lahaul and Spiti region (northern India, Himalaya) during the nineties preceded recent mass loss, The Cryosphere, 7, 569–582, https://doi.org/10.5194/tc-7-569-2013, 2013.
Vincent, C., Soruco, A., Azam, M. F., Basantes-Serrano, R., Jackson, M., Kjøllmoen, B., Thibert, E., Wagnon, P., Six, D., Rabatel, A., Ramanathan, A., Berthier, E., Cusicanqui, D., Vincent, P., and Mandal, A.: A Nonlinear Statistical Model for Extracting a Climatic Signal From Glacier Mass Balance Measurements, J. Geophys. Res.-Earth, 123, 2228–2242, https://doi.org/10.1029/2018JF004702, 2018.
Vishwakarma, B. D., Ramsankaran, R., Azam, M. 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., Linda, A., Arnaud, Y., Kumar, R., Sharma, P., Vincent, C., Pottakkal, J. G., Berthier, E., Ramanathan, A., Hasnain, S. I., and Chevallier, P.: Four years of mass balance on Chhota Shigri Glacier, Himachal Pradesh, India, a new benchmark glacier in the western Himalaya, J. Glaciol., 53, 603–611, https://doi.org/10.3189/002214307784409306, 2007.
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.
Yao, J., Chen, Y., Guan, X., Zhao, Y., Chen, J., and Mao, W.: Recent climate and hydrological changes in a mountain–basin system in Xinjiang, China, Earth-Sci. Rev., 226, 103957, https://doi.org/10.1016/j.earscirev.2022.103957, 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., Gärtner-Roer, I., Nussbaumer, S. U., Hoelzle, M., Paul, F., Haeberli, W., Denzinger, F., Ahlstrøm, A. P., Anderson, B., Bajracharya, S., Baroni, C., Braun, L. N., Cáceres, B. E., Casassa, G., Cobos, G., Dávila, L. R., Granados, H. D., Demuth, M. N., Espizua, L., Fischer, A., Fujita, K., Gadek, B., Ghazanfar, A., Hagen, J. O., Holmlund, P., Karimi, N., Li, Z., Pelto, M., Pitte, P., Popovnin, V. V., Portocarrero, C. A., Prinz, R., Sangewar, C. V., Severskiy, I., Sigurđsson, O., Soruco, A., Usubaliev, R., and Vincent, C.: Historically unprecedented global glacier decline in the early 21st century, J. Glaciol., 61, 745–762, https://doi.org/10.3189/2015JoG15J017, 2015.
Zemp, M., Huss, M., Thibert, E., Eckert, N., McNabb, R., Huber, J., Barandun, M., Machguth, H., Nussbaumer, S. U., Gärtner-Roer, I., Thomson, L., Paul, F., Maussion, F., Kutuzov, S., and Cogley, J. G.: Global glacier mass changes and their contributions to sea-level rise from 1961 to 2016, Nature, 568, 382–386, https://doi.org/10.1038/s41586-019-1071-0, 2019.
Short summary
Mass balance series on Chhota Shigri Glacier has been reanalysed by combining the traditional mass balance reanalysis framework and a nonlinear model. The nonlinear model is preferred over traditional glaciological methods to compute the mass balances, as the former can capture the spatiotemporal variability in point mass balances from a heterogeneous in situ point mass balance network. The nonlinear model outperforms the traditional method and agrees better with the geodetic estimates.
Mass balance series on Chhota Shigri Glacier has been reanalysed by combining the traditional...
