Articles | Volume 13, issue 1
https://doi.org/10.5194/tc-13-219-2019
© Author(s) 2019. 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-13-219-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jan 2019
Research article |
| 24 Jan 2019
| 24 Jan 2019
Characterizing the behaviour of surge- and non-surge-type glaciers in the Kingata Mountains, eastern Pamir, from 1999 to 2016
Mingyang Lv
School of Earth Sciences and Engineering, Nanjing University,
Nanjing, 210023, China
Key Laboratory of Digital Earth Science,
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,
Beijing, 100094, China
School of Geography, University of Leeds, Leeds, LS2 9JT,
UK
Huadong Guo
School of Earth Sciences and Engineering, Nanjing University,
Nanjing, 210023, China
Key Laboratory of Digital Earth Science,
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,
Beijing, 100094, China
Xiancai Lu
School of Earth Sciences and Engineering, Nanjing University,
Nanjing, 210023, China
Guang Liu
CORRESPONDING AUTHOR
Key Laboratory of Digital Earth Science,
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,
Beijing, 100094, China
Shiyong Yan
Jiangsu Key Laboratory of Resources and
Environmental Engineering, School of Environment Science and Spatial
Informatics, China University of Mining and Technology, Xuzhou, 221116,
China
Zhixing Ruan
Key Laboratory of Digital Earth Science,
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,
Beijing, 100094, China
Yixing Ding
Key Laboratory of Digital Earth Science,
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,
Beijing, 100094, China
Duncan J. Quincey
School of Geography, University of Leeds, Leeds, LS2 9JT,
UK
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The Cryosphere, 17, 2891–2907, https://doi.org/10.5194/tc-17-2891-2023, https://doi.org/10.5194/tc-17-2891-2023, 2023
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Kyagar Glacier in the Karakoram is well known for its surge history and its frequent blocking of the downstream valley, leading to a series of high-magnitude glacial lake outburst floods. Using it as a test bed, we develop a new approach for quantifying surge behaviour using successive digital elevation models. This method could be applied to other surge studies. Combined with the results from optical satellite images, we also reconstruct the surge process in unprecedented detail.
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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.
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This study analyses the basal sliding and the hydrological drainage of Baltoro Glacier, Pakistan. The surface velocity was characterized by a spring speed-up, summer peak, and autumn speed-up. Snow melt has the largest impact on the spring speed-up, summer velocity peak, and the transition from inefficient to efficient drainage. Drainage from supraglacial lakes contributed to the fall speed-up. Increased summer temperatures will intensify the magnitude of meltwater and thus surface velocities.
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The Cryosphere, 17, 2891–2907, https://doi.org/10.5194/tc-17-2891-2023, https://doi.org/10.5194/tc-17-2891-2023, 2023
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Kyagar Glacier in the Karakoram is well known for its surge history and its frequent blocking of the downstream valley, leading to a series of high-magnitude glacial lake outburst floods. Using it as a test bed, we develop a new approach for quantifying surge behaviour using successive digital elevation models. This method could be applied to other surge studies. Combined with the results from optical satellite images, we also reconstruct the surge process in unprecedented detail.
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The Cryosphere, 17, 2829–2849, https://doi.org/10.5194/tc-17-2829-2023, https://doi.org/10.5194/tc-17-2829-2023, 2023
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Spaceborne thermal infrared sensors with kilometer-scale resolution cannot support adequate parameterization of Arctic leads. For the first time, we applied the 30 m resolution data from the Thermal Infrared Spectrometer (TIS) on the emerging SDGSAT-1 to detect Arctic leads. Validation with Sentinel-2 data shows high accuracy for the three TIS bands. Compared to MODIS, the TIS presents more narrow leads, demonstrating its great potential for observing previously unresolvable Arctic leads.
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Climate change has been proven to be an indisputable fact and to be occurring at a faster rate in boreal forest areas. The results of this paper show that boreal forest coverage has shown an increasing trend in the past 3 decades, and the area of broad-leaved forests has increased more rapidly than that of coniferous forests. In addition, temperature rather than precipitation is the main climate factor that is driving change.
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Hazards from glaciers are becoming more likely as the climate warms, which poses a threat to communities living beneath them. We have developed a new camera system which can capture regular, high-quality 3D models to monitor small changes in glaciers which could be indicative of a future hazard. This system is far cheaper than more typical camera sensors yet produces very similar quality data. We suggest that deploying these cameras near glaciers could assist in warning communities of hazards.
Christopher D. Stringer, Jonathan L. Carrivick, Duncan J. Quincey, and Daniel Nývlt
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Revised manuscript not accepted
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Glaciers in Antarctica have been decreasing in size at a fast rate, leading to the expansion of proglacial areas, with wide-ranging ecological implications. Several global land-cover maps exist, but they do not include Antarctica. We map land cover types across West Antarctica and the McMurdo Dry Valleys to a high degree of accuracy (77.0 %). We highlight the spatial variation in land cover and emphasise the need for more field data.
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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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.
Fang Chen, Meimei Zhang, Huadong Guo, Simon Allen, Jeffrey S. Kargel, Umesh K. Haritashya, and C. Scott Watson
Earth Syst. Sci. Data, 13, 741–766, https://doi.org/10.5194/essd-13-741-2021, https://doi.org/10.5194/essd-13-741-2021, 2021
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The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-210, https://doi.org/10.5194/tc-2017-210, 2017
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The production and routing of meltwater through glaciers is important because that water influences glacier sliding, and represents a resource in some instances and a hazard in others. Despite this importance, very little is known about the hydrology of debris-covered glaciers, which are commonly located at high altitudes. Here, we present a review of the hydrology of debris-covered glaciers, summarizing the current state of knowledge and identify potential future research priorities.
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The aerosol effects on warm cloud parameters over the Yangtze River Delta are systematically examined using multi-sensor retrievals. This study shows that the COT–CDR and CWP–CDR relationships are not unique, but are affected by atmospheric aerosol loading. CDR and cloud fraction show different behaviours for low and high AOD. Aerosol–cloud interaction (ACI) is stronger for clouds mixed with smoke aerosol than for clouds mixed with dust. Meteorological conditions play an important role in ACI.
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The Cryosphere, 11, 407–426, https://doi.org/10.5194/tc-11-407-2017, https://doi.org/10.5194/tc-11-407-2017, 2017
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S. J. Cook and D. J. Quincey
Earth Surf. Dynam., 3, 559–575, https://doi.org/10.5194/esurf-3-559-2015, https://doi.org/10.5194/esurf-3-559-2015, 2015
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We compiled data on Alpine glacial lake morphometry to test empirical relationships that are used to estimate lake volume for the modelling of glacial lake outburst floods. We find wide scatter in the relationship between lake area and depth, and between area and volume, and identify contexts where existing empirical relationships are poor volume predictors. We generate a data-driven conceptual model of how lake volume should be expected to scale with area for a range of glacial lake contexts.
D. R. Rounce, D. J. Quincey, and D. C. McKinney
The Cryosphere, 9, 2295–2310, https://doi.org/10.5194/tc-9-2295-2015, https://doi.org/10.5194/tc-9-2295-2015, 2015
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A debris-covered glacier energy balance was used to model debris temperatures and sub-debris ablation rates on Imja-Lhotse Shar Glacier during the 2014 melt season. Field measurements were used to assess model performance. A novel method was also developed using Structure from Motion to estimate the surface roughness. Lastly, the effects of temporal resolution, i.e., 6h and daily time steps, and various methods for estimating the latent heat flux were also investigated.
D. J. Quincey and A. Luckman
The Cryosphere, 8, 571–574, https://doi.org/10.5194/tc-8-571-2014, https://doi.org/10.5194/tc-8-571-2014, 2014
A. A. W. Fitzpatrick, A. L. Hubbard, J. E. Box, D. J. Quincey, D. van As, A. P. B. Mikkelsen, S. H. Doyle, C. F. Dow, B. Hasholt, and G. A. Jones
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T. O. Holt, N. F. Glasser, D. J. Quincey, and M. R. Siegfried
The Cryosphere, 7, 797–816, https://doi.org/10.5194/tc-7-797-2013, https://doi.org/10.5194/tc-7-797-2013, 2013
Related subject area
Discipline: Glaciers | Subject: Remote Sensing
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Recent glacier and lake changes in High Mountain Asia and their relation to precipitation changes
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Changes of the tropical glaciers throughout Peru between 2000 and 2016 – mass balance and area fluctuations
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Fabrizio Troilo, Niccolò Dematteis, Francesco Zucca, Martin Funk, and Daniele Giordan
The Cryosphere, 18, 3891–3909, https://doi.org/10.5194/tc-18-3891-2024, https://doi.org/10.5194/tc-18-3891-2024, 2024
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Jukes Liu, Madeline Gendreau, Ellyn Mary Enderlin, and Rainey Aberle
The Cryosphere, 18, 3571–3590, https://doi.org/10.5194/tc-18-3571-2024, https://doi.org/10.5194/tc-18-3571-2024, 2024
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There are sometimes gaps in global glacier velocity records produced using satellite image feature-tracking algorithms during times of rapid glacier acceleration, which hinders the study of glacier flow processes. We present an open-source pipeline for customizing the feature-tracking parameters and for including images from an additional source. We applied it to five glaciers and found that it produced accurate velocity data that supplemented their velocity records during rapid acceleration.
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
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Christoph Posch, Jakob Abermann, and Tiago Silva
The Cryosphere, 18, 2035–2059, https://doi.org/10.5194/tc-18-2035-2024, https://doi.org/10.5194/tc-18-2035-2024, 2024
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Radar beams from satellites exhibit reflection differences between water and ice. This condition, as well as the comprehensive coverage and high temporal resolution of the Sentinel-1 satellites, allows automatically detecting the timing of when ice cover of lakes in Greenland disappear. We found that lake ice breaks up 3 d later per 100 m elevation gain and that the average break-up timing varies by ±8 d in 2017–2021, which has major implications for the energy budget of the lakes.
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The Cryosphere, 18, 719–746, https://doi.org/10.5194/tc-18-719-2024, https://doi.org/10.5194/tc-18-719-2024, 2024
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The lower part of mountain glaciers is often covered with debris. Knowing the thickness of the debris is important as it influences the melting and future evolution of the affected glaciers. We have developed an open-source approach to map variations in debris thickness on glaciers using a low-cost drone equipped with a thermal infrared camera. The resulting high-resolution maps of debris surface temperature and thickness enable more accurate monitoring and modelling of debris-covered glaciers.
Yungang Cao, Rumeng Pan, Meng Pan, Ruodan Lei, Puying Du, and Xueqin Bai
The Cryosphere, 18, 153–168, https://doi.org/10.5194/tc-18-153-2024, https://doi.org/10.5194/tc-18-153-2024, 2024
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This study built a glacial lake dataset with 15376 samples in seven types and proposed an automatic method by two-stage (the semantic segmentation network and post-processing) optimizations to detect glacial lakes. The proposed method for glacial lake extraction has achieved the best results so far, in which the F1 score and IoU reached 0.945 and 0.907, respectively. The area of the minimum glacial lake that can be entirely and correctly extracted has been raised to the 100 m2 level.
Daniel Falaschi, Atanu Bhattacharya, Gregoire Guillet, Lei Huang, Owen King, Kriti Mukherjee, Philipp Rastner, Tandong Yao, and Tobias Bolch
The Cryosphere, 17, 5435–5458, https://doi.org/10.5194/tc-17-5435-2023, https://doi.org/10.5194/tc-17-5435-2023, 2023
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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.
Oskar Herrmann, Nora Gourmelon, Thorsten Seehaus, Andreas Maier, Johannes J. Fürst, Matthias H. Braun, and Vincent Christlein
The Cryosphere, 17, 4957–4977, https://doi.org/10.5194/tc-17-4957-2023, https://doi.org/10.5194/tc-17-4957-2023, 2023
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Delineating calving fronts of marine-terminating glaciers in satellite images is a labour-intensive task. We propose a method based on deep learning that automates this task. We choose a deep learning framework that adapts to any given dataset without needing deep learning expertise. The method is evaluated on a benchmark dataset for calving-front detection and glacier zone segmentation. The framework can beat the benchmark baseline without major modifications.
Whyjay Zheng, Shashank Bhushan, Maximillian Van Wyk De Vries, William Kochtitzky, David Shean, Luke Copland, Christine Dow, Renette Jones-Ivey, and Fernando Pérez
The Cryosphere, 17, 4063–4078, https://doi.org/10.5194/tc-17-4063-2023, https://doi.org/10.5194/tc-17-4063-2023, 2023
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We design and propose a method that can evaluate the quality of glacier velocity maps. The method includes two numbers that we can calculate for each velocity map. Based on statistics and ice flow physics, velocity maps with numbers close to the recommended values are considered to have good quality. We test the method using the data from Kaskawulsh Glacier, Canada, and release an open-sourced software tool called GLAcier Feature Tracking testkit (GLAFT) to help users assess their velocity maps.
Monika Pfau, Georg Veh, and Wolfgang Schwanghart
The Cryosphere, 17, 3535–3551, https://doi.org/10.5194/tc-17-3535-2023, https://doi.org/10.5194/tc-17-3535-2023, 2023
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Cast shadows have been a recurring problem in remote sensing of glaciers. We show that the length of shadows from surrounding mountains can be used to detect gains or losses in glacier elevation.
Guanyu Li, Mingyang Lv, Duncan J. Quincey, Liam S. Taylor, Xinwu Li, Shiyong Yan, Yidan Sun, and Huadong Guo
The Cryosphere, 17, 2891–2907, https://doi.org/10.5194/tc-17-2891-2023, https://doi.org/10.5194/tc-17-2891-2023, 2023
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Kyagar Glacier in the Karakoram is well known for its surge history and its frequent blocking of the downstream valley, leading to a series of high-magnitude glacial lake outburst floods. Using it as a test bed, we develop a new approach for quantifying surge behaviour using successive digital elevation models. This method could be applied to other surge studies. Combined with the results from optical satellite images, we also reconstruct the surge process in unprecedented detail.
Christian Sommer, Johannes J. Fürst, Matthias Huss, and Matthias H. Braun
The Cryosphere, 17, 2285–2303, https://doi.org/10.5194/tc-17-2285-2023, https://doi.org/10.5194/tc-17-2285-2023, 2023
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Knowledge on the volume of glaciers is important to project future runoff. Here, we present a novel approach to reconstruct the regional ice thickness distribution from easily available remote-sensing data. We show that past ice thickness, derived from spaceborne glacier area and elevation datasets, can constrain the estimated ice thickness. Based on the unique glaciological database of the European Alps, the approach will be most beneficial in regions without direct thickness measurements.
Ugo Nanni, Dirk Scherler, Francois Ayoub, Romain Millan, Frederic Herman, and Jean-Philippe Avouac
The Cryosphere, 17, 1567–1583, https://doi.org/10.5194/tc-17-1567-2023, https://doi.org/10.5194/tc-17-1567-2023, 2023
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Surface melt is a major factor driving glacier movement. Using satellite images, we have tracked the movements of 38 glaciers in the Pamirs over 7 years, capturing their responses to rapid meteorological changes with unprecedented resolution. We show that in spring, glacier accelerations propagate upglacier, while in autumn, they propagate downglacier – all resulting from changes in meltwater input. This provides critical insights into the interplay between surface melt and glacier movement.
Deniz Tobias Gök, Dirk Scherler, and Leif Stefan Anderson
The Cryosphere, 17, 1165–1184, https://doi.org/10.5194/tc-17-1165-2023, https://doi.org/10.5194/tc-17-1165-2023, 2023
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We performed high-resolution debris-thickness mapping using land surface temperature (LST) measured from an unpiloted aerial vehicle (UAV) at various times of the day. LSTs from UAVs require calibration that varies in time. We test two approaches to quantify supraglacial debris cover, and we find that the non-linearity of the relationship between LST and debris thickness increases with LST. Choosing the best model to predict debris thickness depends on the time of the day and the terrain aspect.
Connor J. Shiggins, James M. Lea, and Stephen Brough
The Cryosphere, 17, 15–32, https://doi.org/10.5194/tc-17-15-2023, https://doi.org/10.5194/tc-17-15-2023, 2023
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Iceberg detection is spatially and temporally limited around the Greenland Ice Sheet. This study presents a new, accessible workflow to automatically detect icebergs from timestamped ArcticDEM strip data. The workflow successfully produces comparable output to manual digitisation, with results revealing new iceberg area-to-volume conversion equations that can be widely applied to datasets where only iceberg outlines can be extracted (e.g. optical and SAR imagery).
Xinde Chu, Xiaojun Yao, Hongyu Duan, Cong Chen, Jing Li, and Wenlong Pang
The Cryosphere, 16, 4273–4289, https://doi.org/10.5194/tc-16-4273-2022, https://doi.org/10.5194/tc-16-4273-2022, 2022
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The available remote-sensing data are increasingly abundant, and the efficient and rapid acquisition of glacier boundaries based on these data is currently a frontier issue in glacier research. In this study, we designed a complete solution to automatically extract glacier outlines from the high-resolution images. Compared with other methods, our method achieves the best performance for glacier boundary extraction in parts of the Tanggula Mountains, Kunlun Mountains and Qilian Mountains.
Sophie Goliber, Taryn Black, Ginny Catania, James M. Lea, Helene Olsen, Daniel Cheng, Suzanne Bevan, Anders Bjørk, Charlie Bunce, Stephen Brough, J. Rachel Carr, Tom Cowton, Alex Gardner, Dominik Fahrner, Emily Hill, Ian Joughin, Niels J. Korsgaard, Adrian Luckman, Twila Moon, Tavi Murray, Andrew Sole, Michael Wood, and Enze Zhang
The Cryosphere, 16, 3215–3233, https://doi.org/10.5194/tc-16-3215-2022, https://doi.org/10.5194/tc-16-3215-2022, 2022
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Terminus traces have been used to understand how Greenland's glaciers have changed over time; however, manual digitization is time-intensive, and a lack of coordination leads to duplication of efforts. We have compiled a dataset of over 39 000 terminus traces for 278 glaciers for scientific and machine learning applications. We also provide an overview of an updated version of the Google Earth Engine Digitization Tool (GEEDiT), which has been developed specifically for the Greenland Ice Sheet.
Flavien Beaud, Saif Aati, Ian Delaney, Surendra Adhikari, and Jean-Philippe Avouac
The Cryosphere, 16, 3123–3148, https://doi.org/10.5194/tc-16-3123-2022, https://doi.org/10.5194/tc-16-3123-2022, 2022
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Understanding sliding at the bed of glaciers is essential to understand the future of sea-level rise and glacier-related hazards. Yet there is currently no universal law to describe this mechanism. We propose a universal glacier sliding law and a method to qualitatively constrain it. We use satellite remote sensing to create velocity maps over 6 years at Shisper Glacier, Pakistan, including its recent surge, and show that the observations corroborate the generalized theory.
Ingalise Kindstedt, Kristin M. Schild, Dominic Winski, Karl Kreutz, Luke Copland, Seth Campbell, and Erin McConnell
The Cryosphere, 16, 3051–3070, https://doi.org/10.5194/tc-16-3051-2022, https://doi.org/10.5194/tc-16-3051-2022, 2022
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We show that neither the large spatial footprint of the MODIS sensor nor poorly constrained snow emissivity values explain the observed cold offset in MODIS land surface temperatures (LSTs) in the St. Elias. Instead, the offset is most prominent under conditions associated with near-surface temperature inversions. This work represents an advance in the application of MODIS LSTs to glaciated alpine regions, where we often depend solely on remote sensing products for temperature information.
Frank Paul, Livia Piermattei, Désirée Treichler, Lin Gilbert, Luc Girod, Andreas Kääb, Ludivine Libert, Thomas Nagler, Tazio Strozzi, and Jan Wuite
The Cryosphere, 16, 2505–2526, https://doi.org/10.5194/tc-16-2505-2022, https://doi.org/10.5194/tc-16-2505-2022, 2022
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Glacier surges are widespread in the Karakoram and have been intensely studied using satellite data and DEMs. We use time series of such datasets to study three glacier surges in the same region of the Karakoram. We found strongly contrasting advance rates and flow velocities, maximum velocities of 30 m d−1, and a change in the surge mechanism during a surge. A sensor comparison revealed good agreement, but steep terrain and the two smaller glaciers caused limitations for some of them.
Bas Altena, Andreas Kääb, and Bert Wouters
The Cryosphere, 16, 2285–2300, https://doi.org/10.5194/tc-16-2285-2022, https://doi.org/10.5194/tc-16-2285-2022, 2022
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Repeat overflights of satellites are used to estimate surface displacements. However, such products lack a simple error description for individual measurements, but variation in precision occurs, since the calculation is based on the similarity of texture. Fortunately, variation in precision manifests itself in the correlation peak, which is used for the displacement calculation. This spread is used to make a connection to measurement precision, which can be of great use for model inversion.
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.
Christian Sommer, Thorsten Seehaus, Andrey Glazovsky, and Matthias H. Braun
The Cryosphere, 16, 35–42, https://doi.org/10.5194/tc-16-35-2022, https://doi.org/10.5194/tc-16-35-2022, 2022
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Arctic glaciers have been subject to extensive warming due to global climate change, yet their contribution to sea level rise has been relatively small in the past. In this study we provide mass changes of most glaciers of the Russian High Arctic (Franz Josef Land, Severnaya Zemlya, Novaya Zemlya). We use TanDEM-X satellite measurements to derive glacier surface elevation changes. Our results show an increase in glacier mass loss and a sea level rise contribution of 0.06 mm/a (2010–2017).
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.
Armin Dachauer, Richard Hann, and Andrew J. Hodson
The Cryosphere, 15, 5513–5528, https://doi.org/10.5194/tc-15-5513-2021, https://doi.org/10.5194/tc-15-5513-2021, 2021
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This study investigated the aerodynamic roughness length (z0) – an important parameter to determine the surface roughness – of crevassed tidewater glaciers on Svalbard using drone data. The results point out that the range of z0 values across a crevassed glacier is large but in general significantly higher compared to non-crevassed glacier surfaces. The UAV approach proved to be an ideal tool to provide distributed z0 estimates of crevassed glaciers which can be used to model turbulent fluxes.
Melanie Marochov, Chris R. Stokes, and Patrice E. Carbonneau
The Cryosphere, 15, 5041–5059, https://doi.org/10.5194/tc-15-5041-2021, https://doi.org/10.5194/tc-15-5041-2021, 2021
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Research into the use of deep learning for pixel-level classification of landscapes containing marine-terminating glaciers is lacking. We adapt a novel and transferable deep learning workflow to classify satellite imagery containing marine-terminating outlet glaciers in Greenland. Our workflow achieves high accuracy and mimics human visual performance, potentially providing a useful tool to monitor glacier change and further understand the impacts of climate change in complex glacial settings.
Paul Willem Leclercq, Andreas Kääb, and Bas Altena
The Cryosphere, 15, 4901–4907, https://doi.org/10.5194/tc-15-4901-2021, https://doi.org/10.5194/tc-15-4901-2021, 2021
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In this study we present a novel method to detect glacier surge activity. Surges are relevant as they disturb the link between glacier change and climate, and studying surges can also increase understanding of glacier flow. We use variations in Sentinel-1 radar backscatter strength, calculated with the use of Google Earth Engine, to detect surge activity. In our case study for the year 2018–2019 we find 69 cases of surging glaciers globally. Many of these were not previously known to be surging.
George Brencher, Alexander L. Handwerger, and Jeffrey S. Munroe
The Cryosphere, 15, 4823–4844, https://doi.org/10.5194/tc-15-4823-2021, https://doi.org/10.5194/tc-15-4823-2021, 2021
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We use satellite InSAR to inventory and monitor rock glaciers, frozen bodies of ice and rock debris that are an important water resource in the Uinta Mountains, Utah, USA. Our inventory contains 205 rock glaciers, which occur within a narrow elevation band and deform at 1.94 cm yr-1 on average. Uinta rock glacier movement changes seasonally and appears to be driven by spring snowmelt. The role of rock glaciers as a perennial water resource is threatened by ice loss due to climate change.
Adina E. Racoviteanu, Lindsey Nicholson, and Neil F. Glasser
The Cryosphere, 15, 4557–4588, https://doi.org/10.5194/tc-15-4557-2021, https://doi.org/10.5194/tc-15-4557-2021, 2021
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Supraglacial debris cover comprises ponds, exposed ice cliffs, debris material and vegetation. Understanding these features is important for glacier hydrology and related hazards. We use linear spectral unmixing of satellite data to assess the composition of map supraglacial debris across the Himalaya range in 2015. One of the highlights of this study is the automated mapping of supraglacial ponds, which complements and expands the existing supraglacial debris and lake databases.
Corey Scher, Nicholas C. Steiner, and Kyle C. McDonald
The Cryosphere, 15, 4465–4482, https://doi.org/10.5194/tc-15-4465-2021, https://doi.org/10.5194/tc-15-4465-2021, 2021
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Time series synthetic aperture radar enables detection of seasonal reach-scale glacier surface melting across continents, a key component of surface energy balance for mountain glaciers. We observe melting across all areas of the Hindu Kush Himalaya (HKH) cryosphere. Surface melting for the HKH lasts for close to 5 months per year on average and for just below 2 months at elevations exceeding 7000 m a.s.l. Further, there are indications that melting is more than superficial at high elevations.
Lander Van Tricht, Philippe Huybrechts, Jonas Van Breedam, Alexander Vanhulle, Kristof Van Oost, and Harry Zekollari
The Cryosphere, 15, 4445–4464, https://doi.org/10.5194/tc-15-4445-2021, https://doi.org/10.5194/tc-15-4445-2021, 2021
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We conducted innovative research on the use of drones to determine the surface mass balance (SMB) of two glaciers. Considering appropriate spatial scales, we succeeded in determining the SMB in the ablation area with large accuracy. Consequently, we are convinced that our method and the use of drones to monitor the mass balance of a glacier’s ablation area can be an add-on to stake measurements in order to obtain a broader picture of the heterogeneity of the SMB of glaciers.
Yuting Dong, Ji Zhao, Dana Floricioiu, Lukas Krieger, Thomas Fritz, and Michael Eineder
The Cryosphere, 15, 4421–4443, https://doi.org/10.5194/tc-15-4421-2021, https://doi.org/10.5194/tc-15-4421-2021, 2021
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We generated a consistent, gapless and high-resolution (12 m) topography product of the Antarctic Peninsula by combining the complementary advantages of the two most recent high-resolution digital elevation model (DEM) products: the TanDEM-X DEM and the Reference Elevation Model of Antarctica. The generated DEM maintains the characteristics of the TanDEM-X DEM, has a better quality due to the correction of the residual height errors in the non-edited TanDEM-X DEM and will be freely available.
Sergey Samsonov, Kristy Tiampo, and Ryan Cassotto
The Cryosphere, 15, 4221–4239, https://doi.org/10.5194/tc-15-4221-2021, https://doi.org/10.5194/tc-15-4221-2021, 2021
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The direction and intensity of glacier surface flow adjust in response to a warming climate, causing sea level rise, seasonal flooding and droughts, and changing landscapes and habitats. We developed a technique that measures the evolution of surface flow for a glaciated region in three dimensions with high temporal and spatial resolution and used it to map the temporal evolution of glaciers in southeastern Alaska (Agassiz, Seward, Malaspina, Klutlan, Walsh, and Kluane) during 2016–2021.
Anne Braakmann-Folgmann, Andrew Shepherd, and Andy Ridout
The Cryosphere, 15, 3861–3876, https://doi.org/10.5194/tc-15-3861-2021, https://doi.org/10.5194/tc-15-3861-2021, 2021
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We investigate the disintegration of the B30 iceberg using satellite remote sensing and find that the iceberg lost 378 km3 of ice in 6.5 years, corresponding to 80 % of its initial volume. About two thirds are due to fragmentation at the sides, and one third is due to melting at the iceberg’s base. The release of fresh water and nutrients impacts ocean circulation, sea ice formation, and biological production. We show that adding a snow layer is important when deriving iceberg thickness.
Joschka Geissler, Christoph Mayer, Juilson Jubanski, Ulrich Münzer, and Florian Siegert
The Cryosphere, 15, 3699–3717, https://doi.org/10.5194/tc-15-3699-2021, https://doi.org/10.5194/tc-15-3699-2021, 2021
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The study demonstrates the potential of photogrammetry for analyzing glacier retreat with high spatial resolution. Twenty-three glaciers within the Ötztal Alps are analyzed. We compare photogrammetric and glaciologic mass balances of the Vernagtferner by using the ELA for our density assumption and an UAV survey for a temporal correction of the geodetic mass balances. The results reveal regions of anomalous mass balance and allow estimates of the imbalance between mass balances and ice dynamics.
Lukas Müller, Martin Horwath, Mirko Scheinert, Christoph Mayer, Benjamin Ebermann, Dana Floricioiu, Lukas Krieger, Ralf Rosenau, and Saurabh Vijay
The Cryosphere, 15, 3355–3375, https://doi.org/10.5194/tc-15-3355-2021, https://doi.org/10.5194/tc-15-3355-2021, 2021
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Harald Moltke Bræ, a marine-terminating glacier in north-western Greenland, undergoes remarkable surges of episodic character. Our data show that a recent surge from 2013 to 2019 was initiated at the glacier front and exhibits a pronounced seasonality with flow velocities varying by 1 order of magnitude, which has not been observed at Harald Moltke Bræ in this way before. These findings are crucial for understanding surge mechanisms at Harald Moltke Bræ and other marine-terminating glaciers.
Joseph A. MacGregor, Michael Studinger, Emily Arnold, Carlton J. Leuschen, Fernando Rodríguez-Morales, and John D. Paden
The Cryosphere, 15, 2569–2574, https://doi.org/10.5194/tc-15-2569-2021, https://doi.org/10.5194/tc-15-2569-2021, 2021
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We combine multiple recent global glacier datasets and extend one of them (GlaThiDa) to evaluate past performance of radar-sounding surveys of the thickness of Earth's temperate glaciers. An empirical envelope for radar performance as a function of center frequency is determined, its limitations are discussed and its relevance to future radar-sounder survey and system designs is considered.
Maximillian Van Wyk de Vries and Andrew D. Wickert
The Cryosphere, 15, 2115–2132, https://doi.org/10.5194/tc-15-2115-2021, https://doi.org/10.5194/tc-15-2115-2021, 2021
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We can measure glacier flow and sliding velocity by tracking patterns on the ice surface in satellite images. The surface velocity of glaciers provides important information to support assessments of glacier response to climate change, to improve regional assessments of ice thickness, and to assist with glacier fieldwork. Our paper describes Glacier Image Velocimetry (GIV), a new, easy-to-use, and open-source toolbox for calculating high-resolution velocity time series for any glacier on earth.
Daniel Cheng, Wayne Hayes, Eric Larour, Yara Mohajerani, Michael Wood, Isabella Velicogna, and Eric Rignot
The Cryosphere, 15, 1663–1675, https://doi.org/10.5194/tc-15-1663-2021, https://doi.org/10.5194/tc-15-1663-2021, 2021
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Tracking changes in Greenland's glaciers is important for understanding Earth's climate, but it is time consuming to do so by hand. We train a program, called CALFIN, to automatically track these changes with human levels of accuracy. CALFIN is a special type of program called a neural network. This method can be applied to other glaciers and eventually other tracking tasks. This will enhance our understanding of the Greenland Ice Sheet and permit better models of Earth's climate.
Andri Gunnarsson, Sigurdur M. Gardarsson, Finnur Pálsson, Tómas Jóhannesson, and Óli G. B. Sveinsson
The Cryosphere, 15, 547–570, https://doi.org/10.5194/tc-15-547-2021, https://doi.org/10.5194/tc-15-547-2021, 2021
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Surface albedo quantifies the fraction of the sunlight reflected by the surface of the Earth. During the melt season in the Northern Hemisphere solar energy absorbed by snow- and ice-covered surfaces is mainly controlled by surface albedo. For Icelandic glaciers, air temperature and surface albedo are the dominating factors governing annual variability of glacier surface melt. Satellite data from the MODIS sensor are used to create a data set spanning the glacier melt season.
Bryan Riel, Brent Minchew, and Ian Joughin
The Cryosphere, 15, 407–429, https://doi.org/10.5194/tc-15-407-2021, https://doi.org/10.5194/tc-15-407-2021, 2021
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The availability of large volumes of publicly available remote sensing data over terrestrial glaciers provides new opportunities for studying the response of glaciers to a changing climate. We present an efficient method for tracking changes in glacier speeds at high spatial and temporal resolutions from surface observations, demonstrating the recovery of traveling waves over Jakobshavn Isbræ, Greenland. Quantification of wave properties may ultimately enhance understanding of glacier dynamics.
Chad A. Greene, Alex S. Gardner, and Lauren C. Andrews
The Cryosphere, 14, 4365–4378, https://doi.org/10.5194/tc-14-4365-2020, https://doi.org/10.5194/tc-14-4365-2020, 2020
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Seasonal variability is a fundamental characteristic of any Earth surface system, but we do not fully understand which of the world's glaciers speed up and slow down on an annual cycle. Such short-timescale accelerations may offer clues about how individual glaciers will respond to longer-term changes in climate, but understanding any behavior requires an ability to observe it. We describe how to use satellite image feature tracking to determine the magnitude and timing of seasonal ice dynamics.
Ellyn M. Enderlin and Timothy C. Bartholomaus
The Cryosphere, 14, 4121–4133, https://doi.org/10.5194/tc-14-4121-2020, https://doi.org/10.5194/tc-14-4121-2020, 2020
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Accurate predictions of future changes in glacier flow require the realistic simulation of glacier terminus position change in numerical models. We use crevasse observations for 19 Greenland glaciers to explore whether the two commonly used crevasse depth models match observations. The models cannot reproduce spatial patterns, and we largely attribute discrepancies between modeled and observed depths to the models' inability to account for advection.
Angus J. Dowson, Pascal Sirguey, and Nicolas J. Cullen
The Cryosphere, 14, 3425–3448, https://doi.org/10.5194/tc-14-3425-2020, https://doi.org/10.5194/tc-14-3425-2020, 2020
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Satellite observations over 19 years are used to characterise the spatial and temporal variability of surface albedo across the gardens of Eden and Allah, two of New Zealand’s largest ice fields. The variability in response of individual glaciers reveals the role of topographic setting and suggests that glaciers in the Southern Alps do not behave as a single climatic unit. There is evidence that the timing of the minimum surface albedo has shifted to later in the summer on 10 of the 12 glaciers.
Anna Bergstrom, Michael N. Gooseff, Madeline Myers, Peter T. Doran, and Julian M. Cross
The Cryosphere, 14, 769–788, https://doi.org/10.5194/tc-14-769-2020, https://doi.org/10.5194/tc-14-769-2020, 2020
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This study sought to understand patterns of reflectance of visible light across the landscape of the McMurdo Dry Valleys, Antarctica. We used a helicopter-based platform to measure reflectance along an entire valley with a particular focus on the glaciers, as reflectance strongly controls glacier melt and available water to the downstream ecosystem. We found that patterns are controlled by gradients in snowfall, wind redistribution, and landscape structure, which can trap snow and sediment.
Désirée Treichler, Andreas Kääb, Nadine Salzmann, and Chong-Yu Xu
The Cryosphere, 13, 2977–3005, https://doi.org/10.5194/tc-13-2977-2019, https://doi.org/10.5194/tc-13-2977-2019, 2019
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Glacier growth such as that found on the Tibetan Plateau (TP) is counterintuitive in a warming world. Climate models and meteorological data are conflicting about the reasons for this glacier anomaly. We quantify the glacier changes in High Mountain Asia using satellite laser altimetry as well as the growth of over 1300 inland lakes on the TP. Our study suggests that increased summer precipitation is likely the largest contributor to the recently observed increases in glacier and lake masses.
Christoph Rohner, David Small, Jan Beutel, Daniel Henke, Martin P. Lüthi, and Andreas Vieli
The Cryosphere, 13, 2953–2975, https://doi.org/10.5194/tc-13-2953-2019, https://doi.org/10.5194/tc-13-2953-2019, 2019
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The recent increase in ice flow and calving rates of ocean–terminating glaciers contributes substantially to the mass loss of the Greenland Ice Sheet. Using in situ reference observations, we validate the satellite–based method of iterative offset tracking of Sentinel–1A data for deriving flow speeds. Our investigations highlight the importance of spatial resolution near the fast–flowing calving front, resulting in significantly higher ice velocities compared to large–scale operational products.
Jozef Šupinský, Ján Kaňuk, Zdenko Hochmuth, and Michal Gallay
The Cryosphere, 13, 2835–2851, https://doi.org/10.5194/tc-13-2835-2019, https://doi.org/10.5194/tc-13-2835-2019, 2019
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Cave ice formations can be considered an indicator of long-term changes in the landscape. Using terrestrial laser scanning we generated a time series database of a 3-D cave model. We present a novel approach toward registration of scan missions into a unified coordinate system and methodology for detection of cave floor ice changes. We demonstrate the results of the ice dynamics monitoring correlated with meteorological observations in the Silická ľadnica cave situated in the Slovak Karst.
Thorsten Seehaus, Philipp Malz, Christian Sommer, Stefan Lippl, Alejo Cochachin, and Matthias Braun
The Cryosphere, 13, 2537–2556, https://doi.org/10.5194/tc-13-2537-2019, https://doi.org/10.5194/tc-13-2537-2019, 2019
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The glaciers in Peru are strongly affected by climate change and have shown significant ice loss in the last century. We present the first multi-temporal, countrywide quantification of glacier area and ice mass changes. A glacier area loss of −548.5 ± 65.7 km2 (−29 %) and ice mass loss of −7.62 ± 1.05 Gt is obtained for the period 2000–2016. The ice loss rate increased towards the end of the observation period. The glacier changes revealed can be attributed to regional climatic changes and ENSO.
Dyre O. Dammann, Leif E. B. Eriksson, Son V. Nghiem, Erin C. Pettit, Nathan T. Kurtz, John G. Sonntag, Thomas E. Busche, Franz J. Meyer, and Andrew R. Mahoney
The Cryosphere, 13, 1861–1875, https://doi.org/10.5194/tc-13-1861-2019, https://doi.org/10.5194/tc-13-1861-2019, 2019
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We validate TanDEM-X interferometry as a tool for deriving iceberg subaerial morphology using Operation IceBridge data. This approach enables a volumetric classification of icebergs, according to volume relevant to iceberg drift and decay, freshwater contribution, and potential impact on structures. We find iceberg volumes to generally match within 7 %. These results suggest that TanDEM-X could pave the way for future interferometric systems of scientific and operational iceberg classification.
Cited articles
Avouac, J.-P., Ayoub, F., Leprince, S., Konca, O., and Helmberger, D. V.: The
2005, M-w 7.6 Kashmir earthquake: Sub-pixel correlation of ASTER images and
seismic waveforms analysis, Earth Planet. Sc. Lett., 249, 514–528,
https://doi.org/10.1016/j.epsl.2006.06.025, 2006.
Ayoub, F., Leprince, S., and Avouac, J.-P.: Co-registration and correlation
of aerial photographs for ground deformation measurements, ISPRS J.
Photogramm., 64, 551–560, https://doi.org/10.1016/j.isprsjprs.2009.03.005, 2009.
Barrand, N. E. and Murray, T.: Multivariate controls on the incidence of
glacier surging in the Karakoram Himalaya, Arct. Antarct. Alp. Res., 38,
489–498, https://doi.org/10.1657/1523-0430(2006)38[489:mcotio]2.0.co;2, 2006.
Bolch, T., Kulkarni, A. V., 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.
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.
Burgess, E. W., Forster, R. R., and Larsen, C. F.: Flow velocities of
Alaskan glaciers, Nat. Commun., 4, 2146, https://doi.org/10.1038/ncomms3146,
2013.
Clarke, G. K. C.: Thermal regulation of glacier surging, J. Glaciol., 16,
231–250, https://doi.org/10.3189/S0022143000031567, 1976.
Clarke, G. K. C.: Fast glacier flow: Ice streams, surging, and tidewater
glaciers, J. Geophys. Res., 92, 8835–8841, https://doi.org/10.1029/JB092iB09p08835,
1987.
Copland, L., Pope, S., Bishop, M. P., Shroder Jr., J. F., Clendon, P., Bush,
A., Kamp, U., Seong, Y. B., and Owen, L. A.: Glacier velocities across the
central Karakoram, Ann. Glaciol., 50, 41–49, https://doi.org/10.3189/172756409789624229,
2009.
Copland, L., Sylvestre, T., Bishop, M. P., Shroder, J. F., Seong, Y. B.,
Owen, L. A., Bush, A., and Kamp, U.: Expanded and recently increased glacier
surging in the Karakoram, Arct. Antarct. Alp. Res., 43, 503–516,
https://doi.org/10.1657/1938-4246-43.4.503, 2011.
Dowdeswell, J., Hamilton, G., and Hagen, J.: The duration of the active
phase on surge-type glaciers: Contrasts between Svalbard and other regions,
J. Glaciol., 37, 388–400, https://doi.org/10.3189/S0022143000005827, 1991.
Dunse, T., Schellenberger, T., Hagen, J. O., Kääb, A., Schuler, T. V.,
and Reijmer, C. H.: Glacier-surge mechanisms promoted by a
hydro-thermodynamic feedback to summer melt, The Cryosphere, 9, 197–215,
https://doi.org/10.5194/tc-9-197-2015, 2015.
Farinotti, D., Longuevergne, L., Moholdt, G., Duethmann, D., Mölg, T.,
Bolch, T., Vorogushyn, S., and Güntner, A.: Substantial glacier mass loss
in the Tien Shan over the past 50 years, Nat. Geosci., 8, 716–722,
https://doi.org/10.1038/ngeo2513, 2015.
Fowler, A. C., Murray, T., and Ng, F. S. L.: Thermally controlled glacier
surging, J. Glaciol., 47, 527–538, https://doi.org/10.3189/172756501781831792, 2001.
Gardelle, J., Berthier, E., and Arnaud, Y.: Slight mass gain of Karakoram
glaciers in the early 21st century, Nat. Geosci., 5, 322–325,
https://doi.org/10.1038/NGEO1450, 2012.
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.
Gardner, A. S., Moholdt, G., Cogley, J. G., Wouters, B., Arendt, A. A.,
Wahr, J., Berthier, E., Hock, R., Pfeffer, W. T., Kaser, G., Ligtenberg, S.
R. M., Bolch, T., Sharp, M. J., Hagen, J. O., van den Broeke, M. R., 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.
Gladstone, R., Schäfer, M., Zwinger, T., Gong, Y., Strozzi, T., Mottram,
R., Boberg, F., and Moore, J. C.: Importance of basal processes in
simulations of a surging Svalbard outlet glacier, The Cryosphere, 8,
1393–1405, https://doi.org/10.5194/tc-8-1393-2014, 2014.
Goldstein, R. M., Engelhardt, H., Kamb, B., and Frolich, R. M.: Satellite
Radar Interferometry for Monitoring Ice Sheet Motion: Application to an
Antarctic Ice Stream, Science, 262, 1525–1530,
https://doi.org/10.1126/science.262.5139.1525, 1993.
Gourmelen, N., Kim, S. W., Shepherd, A., Park, J. W., Sundal, A. V.,
Björnsson, H., and Pálsson, F.: Ice velocity determined using
conventional and multiple-aperture InSAR, Earth Planet. Sc. Lett., 307,
156–160, https://doi.org/10.1016/j.epsl.2011.04.026, 2011.
Guo, W. Q., Liu, S. Y., Yao, X. J., Xu, J. L., Shangguan, D. H., Wu, L. Z.,
Zhao, J. D., Liu, Q., Jiang, Z. L., Wei, J. F., Bao, W. J., Yu, P. C., Ding,
L. F., Li, G. Q., Li, P., Ge, C. M., and Wang, Y.: The Second Glacier
Inventory Dataset of China (Version 1.0),
https://doi.org/10.3972/glacier.001.2013.db, 2014.
Hall, D. K., Bahr, K. J., Shoener, W., Bindschadler, R. A., and Chien, J. Y.
L.: Consideration of the errors inherent in mapping historical glacier
positions in Austria from the ground and space, Remote Sens. Environ., 86,
566–577, https://doi.org/10.1016/S0034-4257(03)00134-2, 2003.
Harrison, W. D. and Post, A. S.: How much do we really know about glacier
surging?, Ann. Glaciol., 36, 1–6, https://doi.org/10.3189/172756403781816185, 2003.
Heid, T. and Kääb, A.: Evaluation of existing image matching
methods for deriving glacier surface displacements globally from optical
satellite imagery, Remote Sens. Environ., 118, 339–355,
https://doi.org/10.1016/j.rse.2011.11.024, 2011.
Herman, F., Anderson, B., and Leprince, S.: Mountain glacier velocity
variation during a retreat/advance cycle quantified using sub-pixel analysis
of ASTER images, J. Glaciol., 57, 197–207, https://doi.org/10.3189/002214311796405942,
2011.
Hewitt, K.: Tributary glacier surges: an exceptional concentration at Panmah
Glacier, Karakoram Himalaya, J. Glaciol., 53, 181–188,
https://doi.org/10.3189/172756507782202829, 2007.
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., Han, H., Tian, B., and Zhou, J.: Analysis of thickness
changes and the associated driving factors on a debris-covered glacier in the
Tienshan Mountain, Remote Sens. Environ., 206, 63–71,
https://doi.org/10.1016/j.rse.2017.12.028, 2018.
Jiang, Z., Liu, S., Long, S., Lin, J., Wang, X., Li, J., Xu, J., Wei, J.,
and Bao, W.: Analysis of the glacier dynamics features in Kongur Mountain
based on SAR technology and DEMs, J. Glaciol. Geocryol., 36, 286–295,
2014 (in Chinese).
Jóhannesson, T., Raymond, C., and Waddington, E.: Time–Scale for
Adjustment of Glaciers to Changes in Mass Balance, J. Glaciol., 35, 355–369,
https://doi.org/10.3189/S002214300000928X, 1989.
Kääb, A.: Monitoring high-mountain terrain deformation from repeated
air- and spaceborne optical data: examples using digital aerial imagery and
ASTER data, ISPRS J. Photogramm., 57, 39–52,
https://doi.org/10.1016/s0924-2716(02)00114-4, 2002.
Kääb, A.: Combination of SRTM3 and repeat ASTER data for deriving
alpine glacier flow velocities in the Bhutan Himalaya, Remote Sens. Environ.,
94, 463–474, https://doi.org/10.1016/j.rse.2004.11.003, 2005.
Kääb, A., Berthier, E., Nuth, C., Gardelle, J., and Arnaud, Y.:
Contrasting patterns of early twenty-first-century glacier mass change in the
Himalayas, Nature, 488, 495–498, https://doi.org/10.1038/nature11324, 2012.
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.
Kamb, B., Raymond, C. F., Harrison, W. D., Engelhardt, H., Echelmeyer, K.
A., Humphrey, N., Brugman, M. M., and Pfeffer, T.: Glacier surge mechanism:
1982-1983 surge of Variegated Glacier, Alaska, Science, 227, 469–479,
https://doi.org/10.1126/science.227.4686.469, 1985.
Kargel, J. S., Abrams, M. J., Bishop, M. P., Bush, A., Hamilton, G.,
Jiskoot, H., Kaab, A., Kieffer, H. H., Lee, E. M., Paul, F., Rau, F., Raup,
B., Shroder, J. F., Soltesz, D., Stainforth, D., Stearns, L., and Wessels,
R.: Multispectral imaging contributions to global land ice measurements from
space, Remote Sens. Environ., 99, 187–219, https://doi.org/10.1016/j.rse.2005.07.004,
2005.
Kenyi, L. W. and Kaufmann, V.: Estimation of rock glacier surface
deformation using SAR interferometry data, IEEE T. Geosci. Remote Sens., 41,
1512–1515, https://doi.org/10.1109/tgrs.2003.811996, 2003.
Khromova, T. E., Osipova, G. B., Tsvetkov, D. G., Dyurgerov, M. B., and
Barry, R. G.: Changes in glacier extent in the eastern Pamir, Central Asia,
determined from historical data and ASTER imagery, Remote Sens. Environ.,
102, 24–32, https://doi.org/10.1016/j.rse.2006.01.019, 2006.
King, O., Quincey, D. J., Carrivick, J. L., and Rowan, A. V.: Spatial
variability in mass loss of glaciers in the Everest region, central
Himalayas, between 2000 and 2015, The Cryosphere, 11, 407–426,
https://doi.org/10.5194/tc-11-407-2017, 2017.
Kotlyakov, V. M., Osipova, G. B., and Tsvetkov, D. G.: Monitoring surge
glaciers of the Pamirs, central Asia, from space, Ann. Glaciol., 48,
125–134, https://doi.org/10.3189/172756408784700608, 2008.
Leprince, S., Barbot, S., Ayoub, F., and Avouac, J.-P.: Automatic and
precise orthorectification, coregistration, and subpixel correlation of
satellite images, application to ground deformation measurements, IEEE T.
Geosci. Remote Sens., 45, 1529–1558, https://doi.org/10.1109/tgrs.2006.888937, 2007.
Li, Z., Yao, T. D., Tian, L. D., Xu, B. Q., Wu, G. J., and Zhu, G. C.:
Borehole Temperature at the Ice-core Drilling Site in the Muztag Ata Glacier,
East Pamirs, J. Glaciol. Geocryol., 25, 280–284,
https://doi.org/10.3969/j.issn.1000-0240.2004.03.007, 2004 (in Chinese).
Luckman, A., Quincey, D., and Bevan, S.: The potential of satellite radar
interferometry and feature tracking for monitoring flow rates of Himalayan
glaciers, Remote Sens. Environ., 111, 172–181,
https://doi.org/10.1016/j.rse.2007.05.019, 2007.
Lv, M., Lu, X., Guo, H., Liu, G., Ding, Y., Ruan, Z., Ren, Y., and Yan, S.:
A rapid glacier surge on Mount Tobe Feng, western China, 2015, J. Glaciol.,
1, 1–3, https://doi.org/10.1017/jog.2016.42, 2016.
Mayer, C., Fowler, A. C., Lambrecht, A., and Scharrer, K.: A surge of North
Gasherbrum, Karakoram, China, J. Glaciol., 57, 904–916,
https://doi.org/10.3189/002214311798043834, 2011.
Meier, M. F. and Post, A.: What are glacier surges?, Can. J. Earth Sci., 6,
807–817, https://doi.org/10.1139/e69-081, 1969.
Meier, M. F., Dyurgerov, M. B., Rick, U. K., O'Neel, S., Pfeffer, W. T.,
Anderson, R. S., Anderson, S. P., and Glazovsky, A. F.: Glaciers dominate
Eustatic sea-level rise in the 21st century, Science, 317, 1064–1067,
https://doi.org/10.1126/science.1143906, 2007.
Oerlemans, J.: Quantifying global warming from the retreat of glaciers,
Science, 264, 243–245, https://doi.org/10.1126/science.264.5156.243, 1994.
Ono, Y., Liu, D., and Zhao, Y.: Paleoenvironments of Tibetan Plateau Viewed
from Glacial Fluctuations in the Northern Foot of the West Kunlun Mountains,
J. Geogr., 106, 184–198, https://doi.org/10.5026/jgeography.106.plate7, 1997.
Osmonov, A., Bolch, T., Xi, C., Kurban, A., and Guo, W.: Glacier
characteristics and changes in the Sary-Jaz River Basin (Central Tien Shan,
Kyrgyzstan)-1990–2010, Remote Sens. Lett., 4, 725–734,
https://doi.org/10.1080/2150704X.2013.789146, 2013.
Paul, F., Barrand, N. E., Baumann, S., Berthier, E., Bolch, T., Casey, K.,
Frey, H., Joshi, S. P., Konovalov, V., Le Bris, R., Molg, N., Nosenko, G.,
Nuth, C., Pope, A., Racoviteanu, A., Rastner, P., Raup, B., Scharrer, K.,
Steffen, S., and Winsvold, S.: On the accuracy of glacier outlines derived
from remote-sensing data, Ann. Glaciol., 54, 171–182,
https://doi.org/10.3189/2013AoG63A296, 2013.
Quincey, D. J. and Luckman, A.: Brief Communication: On the magnitude and
frequency of Khurdopin glacier surge events, The Cryosphere, 8, 571–574,
https://doi.org/10.5194/tc-8-571-2014, 2014.
Quincey, D. J., Luckman, A., and Benn, D.: Quantification of Everest region
glacier velocities between 1992 and 2002, using satellite radar
interferometry and feature tracking, J. Glaciol., 55, 596–606,
https://doi.org/10.3189/002214309789470987, 2009.
Quincey, D. J., Braun, M., Glasser, N. F., Bishop, M. P., Hewitt, K., and
Luckman, A.: Karakoram glacier surge dynamics, Geophys. Res. Lett., 38,
113–120, https://doi.org/10.1029/2011GL049004, 2011.
Quincey, D. J., Glasser, N. F., Cook, S. J., and Luckman, A.: Heterogeneity
in Karakoram glacier surges, J. Geophys. Res., 120, 1288–1300,
https://doi.org/10.1002/2015jf003515, 2015.
Raper, S. C. B. and Braithwaite, R. J.: Glacier volume response time and its
links to climate and topography based on a conceptual model of glacier
hypsometry, The Cryosphere, 3, 183–194,
https://doi.org/10.5194/tc-3-183-2009, 2009.
Raymond, C. F.: How do glaciers surge? A review, J. Geophys. Res., 92,
9121–9134, https://doi.org/10.1029/JB092iB09p09121, 1987.
Scherler, D., Leprince, S., and Strecker, M. R.: Glacier-surface velocities
in alpine terrain from optical satellite imagery – Accuracy improvement and
quality assessment, Remote Sens. Environ., 112, 3806–3819,
https://doi.org/10.1016/j.rse.2008.05.018, 2008.
Scherler, D., Bookhagen, B., and Strecker, M. R.: Spatially variable
response of Himalayan glaciers to climate change affected by debris cover,
Nat. Geosci., 4, 156–159, https://doi.org/10.1038/ngeo1068, 2011.
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.
Sevestre, H. and Benn, D. I.: Climatic and geometric controls on the global
distribution of surge-type glaciers: implications for a unifying model of
surging, J. Glaciol., 61, 646–662, https://doi.org/10.3189/2015jog14j136, 2015.
Shangguan, D., Liu, S., Ding, Y., Ding, L., Xiong, L., Cai, D., Li, G., Lu,
A., Zhang, S., and Zhang, Y.: Monitoring the glacier changes in the Muztag
Ata and Konggur mountains, east Pamirs, based on Chinese Glacier Inventory
and recent satellite imagery, Ann. Glaciol., 43, 79–85,
https://doi.org/10.3189/172756406781812393, 2006.
Shangguan, D., Liu, S., Ding, Y., Guo, W., Xu, B., Xu, J., and Jiang, Z.:
Characterizing the May 2015 Karayaylak Glacier surge in the eastern Pamir
Plateau using remote sensing, J. Glaciol., 62, 944–953,
https://doi.org/10.1017/jog.2016.81, 2016.
Su, Z., Liu, S., and Wang, Z.: Modern glaciers of Mt. Muztagata and Mt.
Kongur, J. Nat. Resour., 4, 241–246, https://doi.org/10.11849/zrzyxb.1989.03.008, 1989
(in Chinese).
Thompson, L. G., Mosley-Thompson, E., Davis, M. E., Lin, P. N., Dai, J.,
Bolzan, J. F., and Yao, T.: A 1000 year climatic ice-core record from the
Guliya ice cap, China: its relationship to global climate variability, Ann.
Glaciol., 21, 175–181, https://doi.org/10.3189/S0260305500015780, 1995.
Tian, L., Yao, T., Li, Z., MacClune, K., Wu, G., Xu, B., Li, Y., Lu, A., and
Shen, Y.: Recent rapid warming trend revealed from the isotopic record in
Muztagata ice core, eastern Pamirs, J. Geophys. Res., 111, D13103,
https://doi.org/10.1029/2005JD006249, 2006.
Watson, C. S., Quincey, D. J., Carrivick, J. L., and Smith, M. W.: The
dynamics of supraglacial ponds in the Everest region, central Himalaya,
Global Planet. Change, 142, 14–27, https://doi.org/10.1016/j.gloplacha.2016.04.008,
2016.
Yan, S., Ruan, Z., Liu, G., Deng, K., Lv, M., and Perski, Z.: Deriving Ice
Motion Patterns in Mountainous Regions by Integrating the Intensity-Based
Pixel-Tracking and Phase-Based D-InSAR and MAI Approaches: A Case Study of
the Chongce Glacier, Remote Sens., 8, 611, https://doi.org/10.3390/rs8070611, 2016.
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. D., Liu, S. Y., Pu, J. C., Shen, Y. P., and Lu, A. X.: Recent
glacial retreat in High Mountain Asia and its influence on water resource in
northwest China, Sci. China Ser. D, 47, 1065–1075, https://doi.org/10.1360/03yd0256,
2004.
Yao, T. D., Thompson, L., Yang, W., Yu, W. S., Gao, Y., Guo, X. J., Yang, X.
X., Duan, K. Q., Zhao, H. B., Xu, B. Q., Pu, J. C., Lu, A. X., 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.
Yasuda, T. and Furuya, M.: Dynamics of surge-type glaciers in West Kunlun
Shan, Northwestern Tibet, J. Geophys. Res., 120, 2393–2405,
https://doi.org/10.1002/2015jf003511, 2015.
Zhang, X.: Recent variations in the glacial termini along the Karakorum
Highway, Acta Geogr. Sinica, 35, 149–160,
https://doi.org/10.3321/j.issn:0375-5444.1980.02.006, 1980 (in Chinese).
Short summary
We highlight 28 glaciers in the Kingata Mountains, among which 17 have changed markedly over the last decade. We identify four advancing and 13 surge-type glaciers. The dynamic evolution of the surges is similar to that of Karakoram, suggesting that both hydrological and thermal controls are important for surge initiation and recession. Topography seems to be a dominant control on non-surge glacier behaviour. Most glaciers experienced a significant and diverse change in their motion patterns.
We highlight 28 glaciers in the Kingata Mountains, among which 17 have changed markedly over the...
