Articles | Volume 18, issue 3
https://doi.org/10.5194/tc-18-1085-2024
© 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-18-1085-2024
© 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 Mar 2024
Research article |
| 05 Mar 2024
| 05 Mar 2024
Velocity variations and hydrological drainage at Baltoro Glacier, Pakistan
Anna Wendleder
CORRESPONDING AUTHOR
German Remote Sensing Data Center, German Aerospace Center, Oberpfaffenhofen, Germany
Jasmin Bramboeck
Institute for Applications of Machine Learning and Intelligent Systems, Munich University of Applied Sciences, Munich, Germany
Jamie Izzard
School of Geography, University of Leeds, Leeds, UK
Thilo Erbertseder
German Remote Sensing Data Center, German Aerospace Center, Oberpfaffenhofen, Germany
Pablo d'Angelo
Remote Sensing Technology Institute, German Aerospace Center, Oberpfaffenhofen, Germany
Andreas Schmitt
Institute for Applications of Machine Learning and Intelligent Systems, Munich University of Applied Sciences, Munich, Germany
Duncan J. Quincey
School of Geography, University of Leeds, Leeds, UK
Christoph Mayer
Geodesy and Glaciology, Bavarian Academy of Sciences and Humanities, Munich, Germany
Matthias H. Braun
Institut für Geographie, Friedrich-Alexander-Universität Erlangen–Nuremberg, Erlangen, Germany
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This paper validates the use of free open-source models to link distributed snow measurements to radar measurements in the Canadian Arctic. Using multiple radar sensors, we can decouple the soil from the snow contribution. We then retrieve the "microwave snow grain size" to characterize the interaction between the snow mass and the radar signal. This work supports future satellite mission development to retrieve snow mass information such as the future Canadian Terrestrial Snow Mass Mission.
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The Cryosphere, 19, 2601–2614, https://doi.org/10.5194/tc-19-2601-2025, https://doi.org/10.5194/tc-19-2601-2025, 2025
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EGUsphere, https://doi.org/10.5194/egusphere-2025-2513, https://doi.org/10.5194/egusphere-2025-2513, 2025
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Thomas Krauß, Ksenia Bittner, Pablo d’Angelo, Philipp Schuegraf, Peter Reinartz, and Rupert Müller
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-6-2025, 177–182, https://doi.org/10.5194/isprs-archives-XLVIII-M-6-2025-177-2025, https://doi.org/10.5194/isprs-archives-XLVIII-M-6-2025-177-2025, 2025
Torsten Kanzow, Angelika Humbert, Thomas Mölg, Mirko Scheinert, Matthias Braun, Hans Burchard, Francesca Doglioni, Philipp Hochreuther, Martin Horwath, Oliver Huhn, Maria Kappelsberger, Jürgen Kusche, Erik Loebel, Katrina Lutz, Ben Marzeion, Rebecca McPherson, Mahdi Mohammadi-Aragh, Marco Möller, Carolyne Pickler, Markus Reinert, Monika Rhein, Martin Rückamp, Janin Schaffer, Muhammad Shafeeque, Sophie Stolzenberger, Ralph Timmermann, Jenny Turton, Claudia Wekerle, and Ole Zeising
The Cryosphere, 19, 1789–1824, https://doi.org/10.5194/tc-19-1789-2025, https://doi.org/10.5194/tc-19-1789-2025, 2025
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Kaian Shahateet, Johannes J. Fürst, Francisco Navarro, Thorsten Seehaus, Daniel Farinotti, and Matthias Braun
The Cryosphere, 19, 1577–1597, https://doi.org/10.5194/tc-19-1577-2025, https://doi.org/10.5194/tc-19-1577-2025, 2025
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Anya Schlich-Davies, Ann Rowan, Andrew Ross, Duncan Quincey, and Vivi Pedersen
EGUsphere, https://doi.org/10.31223/X5SH7C, https://doi.org/10.31223/X5SH7C, 2025
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Glaciers in the Himalaya are rapidly losing ice in response to climate change. We use a representation of mesoscale meteorological variables to force a climate-glacier model that represents important surface processes such as sublimation, avalanching, and the evolution of supraglacial debris. We find that warming air temperatures increase annual precipitation sufficiently to offset half of glacier volume loss by the end of the century compared with simulations forced only by temperature change.
Akash M. Patil, Christoph Mayer, Thorsten Seehaus, and Alexander R. Groos
EGUsphere, https://doi.org/10.5194/egusphere-2025-615, https://doi.org/10.5194/egusphere-2025-615, 2025
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We studied how snow and ice layers form and change in the Aletsch Glacier using radar and simple models. Our research mapped these layers' density and tracked their history over 12 years. This helps improve the glacier mass balance estimates. Using non-invasive radar techniques and models, we offer a new way to understand glaciers' evolution under regional climate conditions.
Marcel Dreier, Moritz Koch, Nora Gourmelon, Norbert Blindow, Daniel Steinhage, Fei Wu, Thorsten Seehaus, Matthias Braun, Andreas Maier, and Vincent Christlein
EGUsphere, https://doi.org/10.5194/egusphere-2024-3597, https://doi.org/10.5194/egusphere-2024-3597, 2025
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Katrina Lutz, Lily Bever, Christian Sommer, Thorsten Seehaus, Angelika Humbert, Mirko Scheinert, and Matthias Braun
The Cryosphere, 18, 5431–5449, https://doi.org/10.5194/tc-18-5431-2024, https://doi.org/10.5194/tc-18-5431-2024, 2024
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The estimation of the amount of water found within supraglacial lakes is important for understanding how much water is lost from glaciers each year. Here, we develop two new methods for estimating supraglacial lake volume that can be easily applied on a large scale. Furthermore, we compare these methods to two previously developed methods in order to determine when it is best to use each method. Finally, three of these methods are applied to peak melt dates over an area in Northeast Greenland.
Veronika Gstaiger, Nils Machinia, Nina Merkle, Dominik Rosenbaum, Ronald Nippold, Manuel Muehlhaus, Pablo d’Angelo, Corentin Henry, Xiangtian Yuan, Reza Bahmanyar, Franz Kurz, and Christa-Maria Krieg
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 163–168, https://doi.org/10.5194/isprs-annals-X-3-2024-163-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-163-2024, 2024
Benoit Montpetit, Joshua King, Julien Meloche, Chris Derksen, Paul Siqueira, J. Max Adam, Peter Toose, Mike Brady, Anna Wendleder, Vincent Vionnet, and Nicolas R. Leroux
The Cryosphere, 18, 3857–3874, https://doi.org/10.5194/tc-18-3857-2024, https://doi.org/10.5194/tc-18-3857-2024, 2024
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This paper validates the use of free open-source models to link distributed snow measurements to radar measurements in the Canadian Arctic. Using multiple radar sensors, we can decouple the soil from the snow contribution. We then retrieve the "microwave snow grain size" to characterize the interaction between the snow mass and the radar signal. This work supports future satellite mission development to retrieve snow mass information such as the future Canadian Terrestrial Snow Mass Mission.
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.
M. Fuentes Reyes, P. d’Angelo, and F. Fraundorfer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1021–1028, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1021-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1021-2023, 2023
P. d’Angelo and J. Tian
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 805–811, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-805-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-805-2023, 2023
K. Bittner, S. Zorzi, T. Krauß, and P. d’Angelo
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 925–933, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-925-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-925-2023, 2023
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.
Alexandra M. Zuhr, Erik Loebel, Marek Muchow, Donovan Dennis, Luisa von Albedyll, Frigga Kruse, Heidemarie Kassens, Johanna Grabow, Dieter Piepenburg, Sören Brandt, Rainer Lehmann, Marlene Jessen, Friederike Krüger, Monika Kallfelz, Andreas Preußer, Matthias Braun, Thorsten Seehaus, Frank Lisker, Daniela Röhnert, and Mirko Scheinert
Polarforschung, 91, 73–80, https://doi.org/10.5194/polf-91-73-2023, https://doi.org/10.5194/polf-91-73-2023, 2023
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Polar research is an interdisciplinary and multi-faceted field of research. Its diversity ranges from history to geology and geophysics to social sciences and education. This article provides insights into the different areas of German polar research. This was made possible by a seminar series, POLARSTUNDE, established in the summer of 2020 and organized by the German Society of Polar Research and the German National Committee of the Association of Polar Early Career Scientists (APECS Germany).
Fanny Brun, Owen King, Marion Réveillet, Charles Amory, Anton Planchot, Etienne Berthier, Amaury Dehecq, Tobias Bolch, Kévin Fourteau, Julien Brondex, Marie Dumont, Christoph Mayer, Silvan Leinss, Romain Hugonnet, and Patrick Wagnon
The Cryosphere, 17, 3251–3268, https://doi.org/10.5194/tc-17-3251-2023, https://doi.org/10.5194/tc-17-3251-2023, 2023
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The South Col Glacier is a small body of ice and snow located on the southern ridge of Mt. Everest. A recent study proposed that South Col Glacier is rapidly losing mass. In this study, we examined the glacier thickness change for the period 1984–2017 and found no thickness change. To reconcile these results, we investigate wind erosion and surface energy and mass balance and find that melt is unlikely a dominant process, contrary to previous findings.
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.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, Christoph Mayer, and Axel Bronstert
Hydrol. Earth Syst. Sci., 27, 1841–1863, https://doi.org/10.5194/hess-27-1841-2023, https://doi.org/10.5194/hess-27-1841-2023, 2023
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We present a suitable method to reconstruct sediment export from decadal records of hydroclimatic predictors (discharge, precipitation, temperature) and shorter suspended sediment measurements. This lets us fill the knowledge gap on how sediment export from glacierized high-alpine areas has responded to climate change. We find positive trends in sediment export from the two investigated nested catchments with step-like increases around 1981 which are linked to crucial changes in glacier melt.
Liam S. Taylor, Duncan J. Quincey, and Mark W. Smith
Nat. Hazards Earth Syst. Sci., 23, 329–341, https://doi.org/10.5194/nhess-23-329-2023, https://doi.org/10.5194/nhess-23-329-2023, 2023
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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.
Nora Gourmelon, Thorsten Seehaus, Matthias Braun, Andreas Maier, and Vincent Christlein
Earth Syst. Sci. Data, 14, 4287–4313, https://doi.org/10.5194/essd-14-4287-2022, https://doi.org/10.5194/essd-14-4287-2022, 2022
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Ice loss of glaciers shows in retreating calving fronts (i.e., the position where icebergs break off the glacier and drift into the ocean). This paper presents a benchmark dataset for calving front delineation in synthetic aperture radar (SAR) images. The dataset can be used to train and test deep learning techniques, which automate the monitoring of the calving front. Provided example models achieve front delineations with an average distance of 887 m to the correct calving front.
Christopher D. Stringer, Jonathan L. Carrivick, Duncan J. Quincey, and Daniel Nývlt
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-250, https://doi.org/10.5194/essd-2022-250, 2022
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.
Joëlle Voglimacci-Stephanopoli, Anna Wendleder, Hugues Lantuit, Alexandre Langlois, Samuel Stettner, Andreas Schmitt, Jean-Pierre Dedieu, Achim Roth, and Alain Royer
The Cryosphere, 16, 2163–2181, https://doi.org/10.5194/tc-16-2163-2022, https://doi.org/10.5194/tc-16-2163-2022, 2022
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Changes in the state of the snowpack in the context of observed global warming must be considered to improve our understanding of the processes within the cryosphere. This study aims to characterize an arctic snowpack using the TerraSAR-X satellite. Using a high-spatial-resolution vegetation classification, we were able to quantify the variability in snow depth, as well as the topographic soil wetness index, which provided a better understanding of the electromagnetic wave–ground interaction.
Francisco J. Pérez-Invernón, Heidi Huntrieser, Thilo Erbertseder, Diego Loyola, Pieter Valks, Song Liu, Dale J. Allen, Kenneth E. Pickering, Eric J. Bucsela, Patrick Jöckel, Jos van Geffen, Henk Eskes, Sergio Soler, Francisco J. Gordillo-Vázquez, and Jeff Lapierre
Atmos. Meas. Tech., 15, 3329–3351, https://doi.org/10.5194/amt-15-3329-2022, https://doi.org/10.5194/amt-15-3329-2022, 2022
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Lightning, one of the major sources of nitrogen oxides in the atmosphere, contributes to the tropospheric concentration of ozone and to the oxidizing capacity of the atmosphere. In this work, we contribute to improving the estimation of lightning-produced nitrogen oxides in the Ebro Valley and the Pyrenees by using two different TROPOMI products and comparing the results.
Astrid Oetting, Emma C. Smith, Jan Erik Arndt, Boris Dorschel, Reinhard Drews, Todd A. Ehlers, Christoph Gaedicke, Coen Hofstede, Johann P. Klages, Gerhard Kuhn, Astrid Lambrecht, Andreas Läufer, Christoph Mayer, Ralf Tiedemann, Frank Wilhelms, and Olaf Eisen
The Cryosphere, 16, 2051–2066, https://doi.org/10.5194/tc-16-2051-2022, https://doi.org/10.5194/tc-16-2051-2022, 2022
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This study combines a variety of geophysical measurements in front of and beneath the Ekström Ice Shelf in order to identify and interpret geomorphological evidences of past ice sheet flow, extent and retreat.
The maximal extent of grounded ice in this region was 11 km away from the continental shelf break.
The thickness of palaeo-ice on the calving front around the LGM was estimated to be at least 305 to 320 m.
We provide essential boundary conditions for palaeo-ice-sheet models.
J. Tian, X. Zhuo, X. Yuan, C. Henry, P. d’Angelo, and T. Krauss
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 145–152, https://doi.org/10.5194/isprs-annals-V-1-2022-145-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-145-2022, 2022
F. Kurz, P. Mendes, V. Gstaiger, R. Bahmanyar, P. d’Angelo, S. M. Azimi, S. Auer, N. Merkle, C. Henry, D. Rosenbaum, J. Hellekes, H. Runge, F. Toran, and P. Reinartz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 221–226, https://doi.org/10.5194/isprs-annals-V-1-2022-221-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-221-2022, 2022
Gregoire Guillet, Owen King, Mingyang Lv, Sajid Ghuffar, Douglas Benn, Duncan Quincey, and Tobias Bolch
The Cryosphere, 16, 603–623, https://doi.org/10.5194/tc-16-603-2022, https://doi.org/10.5194/tc-16-603-2022, 2022
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Surging glaciers show cyclical changes in flow behavior – between slow and fast flow – and can have drastic impacts on settlements in their vicinity.
One of the clusters of surging glaciers worldwide is High Mountain Asia (HMA).
We present an inventory of surging glaciers in HMA, identified from satellite imagery. We show that the number of surging glaciers was underestimated and that they represent 20 % of the area covered by glaciers in HMA, before discussing new physics for glacier surges.
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).
Peter Friedl, Thorsten Seehaus, and Matthias Braun
Earth Syst. Sci. Data, 13, 4653–4675, https://doi.org/10.5194/essd-13-4653-2021, https://doi.org/10.5194/essd-13-4653-2021, 2021
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Consistent and continuous data on glacier surface velocity are important inputs to time series analyses, numerical ice dynamic modeling and glacier mass flux computations. We present a new data set of glacier surface velocities derived from Sentinel-1 radar satellite data that covers 12 major glaciated regions outside the polar ice sheets. The data comprise continuously updated scene-pair velocity fields, as well as monthly and annually averaged velocity mosaics at 200 m spatial resolution.
L. Petry, T. Meiers, D. Reuschenberg, S. Mirzavand Borujeni, J. Arndt, L. Odenthal, T. Erbertseder, H. Taubenböck, I. Müller, E. Kalusche, B. Weber, J. Käflein, C. Mayer, G. Meinel, C. Gengenbach, and H. Herold
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-4-W1-2021, 89–96, https://doi.org/10.5194/isprs-annals-VIII-4-W1-2021-89-2021, https://doi.org/10.5194/isprs-annals-VIII-4-W1-2021-89-2021, 2021
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.
P. d’Angelo and P. Reinartz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 77–82, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-77-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-77-2021, 2021
Mirko Scheinert, Christoph Mayer, Martin Horwath, Matthias Braun, Anja Wendt, and Daniel Steinhage
Polarforschung, 89, 57–64, https://doi.org/10.5194/polf-89-57-2021, https://doi.org/10.5194/polf-89-57-2021, 2021
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Ice sheets, glaciers and further ice-covered areas with their changes as well as interactions with the solid Earth and the ocean are subject of intensive research, especially against the backdrop of global climate change. The resulting questions are of concern to scientists from various disciplines such as geodesy, glaciology, physical geography and geophysics. Thus, the working group "Polar Geodesy and Glaciology", founded in 2013, offers a forum for discussion and stimulating exchange.
Christoph Mayer, Markus Weber, Anja Wendt, and Wilfried Hagg
Polarforschung, 89, 1–7, https://doi.org/10.5194/polf-89-1-2021, https://doi.org/10.5194/polf-89-1-2021, 2021
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Only five small glaciers exist in the German part of the Alps. They are too small to play an important role in the regional hydrological system, but are significant remnants of the earlier glaciation of the northern Alps. Therefore, they have been mapped already in the 19th century and are monitored since about 1950. A survey in 2018 documents the recent status of the glaciers. The synthesis of the long term monitoring and an estimate of the future for these small ice bodies is presented here.
Clemens Schannwell, Reinhard Drews, Todd A. Ehlers, Olaf Eisen, Christoph Mayer, Mika Malinen, Emma C. Smith, and Hannes Eisermann
The Cryosphere, 14, 3917–3934, https://doi.org/10.5194/tc-14-3917-2020, https://doi.org/10.5194/tc-14-3917-2020, 2020
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To reduce uncertainties associated with sea level rise projections, an accurate representation of ice flow is paramount. Most ice sheet models rely on simplified versions of the underlying ice flow equations. Due to the high computational costs, ice sheet models based on the complete ice flow equations have been restricted to < 1000 years. Here, we present a new model setup that extends the applicability of such models by an order of magnitude, permitting simulations of 40 000 years.
Catrin Stadelmann, Johannes Jakob Fürst, Thomas Mölg, and Matthias Braun
The Cryosphere, 14, 3399–3406, https://doi.org/10.5194/tc-14-3399-2020, https://doi.org/10.5194/tc-14-3399-2020, 2020
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The glaciers on Kilimanjaro are unique indicators for climatic changes in the tropical midtroposphere of Africa. A history of severe glacier area loss raises concerns about an imminent future disappearance. Yet the remaining ice volume is not well known. Here, we reconstruct ice thickness maps for the two largest remaining ice bodies to assess the current glacier state. We believe that our approach could provide a means for a glacier-specific calibration of reconstructions on different scales.
L. Petry, H. Herold, G. Meinel, T. Meiers, I. Müller, E. Kalusche, T. Erbertseder, H. Taubenböck, E. Zaunseder, V. Srinivasan, A. Osman, B. Weber, S. Jäger, C. Mayer, and C. Gengenbach
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4-W2-2020, 37–43, https://doi.org/10.5194/isprs-archives-XLIV-4-W2-2020-37-2020, https://doi.org/10.5194/isprs-archives-XLIV-4-W2-2020-37-2020, 2020
Cited articles
Armstrong, W. H., Anderson, R. S., and Fahnestock, M. A.: Spatial Patterns of Summer Speedup on South Central Alaska Glaciers, Geophys. Res. Lett., 44, 9379–9388, https://doi.org/10.1002/2017GL074370, 2017. a
Bartholomaus, T., Anderson, R., and Anderson, S.: Response of glacier basal motion to transient water storage, Nat. Geosci., 1, 33–37, https://doi.org/10.1038/ngeo.2007.52, 2008. a
Benn, D. I., Thompson, S., Gulley, J., Mertes, J., Luckman, A., and Nicholson, L.: Structure and evolution of the drainage system of a Himalayan debris-covered glacier, and its relationship with patterns of mass loss, The Cryosphere, 11, 2247–2264, https://doi.org/10.5194/tc-11-2247-2017, 2017. a, b
Benn, D. I., Fowler, A. C., Hewitt, I., and Sevestre, H.: A general theory of glacier surges, J. Glaciol., 65, 701–716, https://doi.org/10.1017/jog.2019.62, 2019. a, b, c
Berthier, E. and Brun, F.: Karakoram geodetic glacier mass balances between 2008 and 2016: persistence of the anomaly and influence of a large rock avalanche on Siachen Glacier, J. Glaciol., 65, 494–507, https://doi.org/10.1017/jog.2019.32, 2019. a
Bookhagen, B. and Burbank, D.: Topography, relief and TRMM-derived rainfall variations along the Himalaya, Geophys. Res. Lett., 33, 1–5, https://doi.org/10.1029/2006GL026037, 2006. a
Boulton, G. S. and Hindmarsh, R. C. A.: Sediment deformation beneath glaciers: Rheology and geological consequences, J. Geophys. Res-Sol. Ea., 92, 9059–9082, https://doi.org/10.1029/JB092iB09p09059, 1987. a
Brodsky, I.: H3: Hexagonal hierarchical geospatial indexing system, Uber Open Source, https://www.uber.com/en-DE/blog/h3/ (last access: 15 September 2023), 2018. a
Brun, F., Wagnon, P., Berthier, E., Shea, J. M., Immerzeel, W. W., Kraaijenbrink, P. D. A., Vincent, C., Reverchon, C., Shrestha, D., and Arnaud, Y.: Ice cliff contribution to the tongue-wide ablation of Changri Nup Glacier, Nepal, central Himalaya, The Cryosphere, 12, 3439–3457, https://doi.org/10.5194/tc-12-3439-2018, 2018. a, b
Burgess, E., Forster, R., and Larsen, C.: Flow velocities of Alaskan glaciers, Nat. Commun., 4, 9059–9082, https://doi.org/10.1038/ncomms3146, 2013. a, b
Buri, P., Miles, E., Steiner, J., Ragettli, S., and Pellicciotti, F.: Supraglacial Ice Cliffs Can Substantially Increase the Mass Loss of Debris-Covered Glaciers, Geophys. Res. Lett., 48, 1–11, https://doi.org/10.1029/2020gl092150, 2021. a, b
Copland, L., Sharp, M. J., and Nienow, P. W.: Links between short-term velocity variations and the subglacial hydrology of a predominantly cold polythermal glacier, J. Glaciol., 49, 337–348, https://doi.org/10.3189/172756503781830656, 2003. a
DLR: TerraSAR-X Science Service System, DLR [data set], https://sss.terrasar-x.dlr.de/, last access: 10 August 2023. a
Dobreva, I. D., Bishop, M. P., and Bush, A. B. G.: Climate–Glacier Dynamics and Topographic Forcing in the Karakoram Himalaya: Concepts, Issues and Research Directions, Water, 9, 1–29, https://doi.org/10.3390/w9060405, 2017. a, b
ESA: Homepage, ESA [data set], https://dataspace.copernicus.eu/, last access: 23 October 2023. a
Evatt, G. W., Mayer, C., Mallinson, A., Abrahams, I. D., Heil, M., and Nicholson, L.: The secret life of ice sails, J. Glaciol., 63, 1049–1062, https://doi.org/10.1017/jog.2017.72, 2017. a
Fichtner, F., Mandery, N., Wieland, M., Groth, S., Martinis, S., and Riedlinger, T.: Time-series analysis of Sentinel-1/2 data for flood detection using a discrete global grid system and seasonal decomposition, Int. J. Appl. Earth Obs., 119, 103329, https://doi.org/10.1016/j.jag.2023.103329, 2023. a
Flowers, G. E.: Modelling water flow under glaciers and ice sheets, P. R. Soc. A., 471, 1347–1365, https://doi.org/10.1098/rspa.2014.0907, 2015. a, b
Friedl, P., Seehaus, T. C., Wendt, A., Braun, M. H., and Höppner, K.: Recent dynamic changes on Fleming Glacier after the disintegration of Wordie Ice Shelf, Antarctic Peninsula, The Cryosphere, 12, 1347–1365, https://doi.org/10.5194/tc-12-1347-2018, 2018. a
Friedl, P., Seehaus, T., and Braun, M.: Global time series and temporal mosaics of glacier surface velocities derived from Sentinel-1 data, Earth Syst. Sci. Data, 13, 4653–4675, https://doi.org/10.5194/essd-13-4653-2021, 2021. a
Glasser, N.: 8.6 Water in Glaciers and Ice Sheets, T. Geomorphol., 8, 61–73, https://doi.org/10.1016/B978-0-12-374739-6.00195-0, 2013. a
Hagolle, O., Huc, M., Desjardins, C., Auer, S., and Richter, R.: MAJA Algorithm Theoretical Basis Document, Stochastic Environmental Research and Risk Assessment, Version 1.0, Zenodo, https://doi.org/10.5281/zenodo.1209633, 2017. a
Hart, J., Young, D., Baurley, N., Robson, B. A., and Martinez, K.: The seasonal evolution of subglacial drainage pathways beneath a soft-bedded glacier, Commun. Earth Environ., 3, 152, https://doi.org/10.1038/s43247-022-00484-9, 2022. a, b
Hausdorff, F.: Grundzüge der Mengenlehre, Veit, Leipzig, 999137, 1914. a
Hewitt, I.: Seasonal changes in ice sheet motion due to melt water lubrication, Earth Planet. Sc. Lett., 371–372, 16–25, https://doi.org/10.1016/j.epsl.2013.04.022, 2013. a, b, c
Hoffman, M., Andrews, L., Price, S., Catania, G. A., Neumann, T. A., Lüthi, M. P., Gulley, J., Ryser, C., Hawley, R. L., and Morriss, B.: Greenland subglacial drainage evolution regulated by weakly connected regions of the bed, Nat. Commun., 7, 13903, https://doi.org/10.1038/ncomms13903, 2016. a
Huo, D., Bishop, M., and Bush, A.: Understanding Complex Debris-Covered Glaciers: Concepts, Issues, and Research Directions, Front. Earth Sci., 9, 358, https://doi.org/10.3389/feart.2021.652279, 2021. a
Iken, A. and Bindschadler, R. A.: Combined measurements of Subglacial Water Pressure and Surface Velocity of Findelengletscher, Switzerland: Conclusions about Drainage System and Sliding Mechanism, J. Glaciol., 32, 101–119, https://doi.org/10.3189/S0022143000006936, 1986. a, b, c
Liu, Q., Christoph, M., and Shiyin, L.: Distribution and interannual variability of supraglacial lakes on debris-covered glaciers in the Khan Tengri-Tumor Mountains, Central Asia, Environ. Res. Lett., 10, 014014, https://doi.org/10.1088/1748-9326/10/1/014014, 2015. a
Lliboutry, L.: General Theory of Subglacial Cavitation and Sliding of Temperate Glaciers, J. Glaciol., 7, 21–58, https://doi.org/10.3189/S0022143000020396, 1968. a
Macgregor, K. R., Riihimaki, C. A., and Anderson, R. S.: Spatial and temporal evolution of rapid basal sliding on Bench Glacier, Alaska, USA, J. Glaciol., 51, 49–63, https://doi.org/10.3189/172756505781829485, 2005. a, b
Mair, D., Nienow, P., Willis, I., and Sharp, M.: Spatial patterns of glacier motion during a high-velocity event: Haut Glacier d’Arolla, Switzerland, J. Glaciol., 47, 9–20, https://doi.org/10.3189/172756501781832412, 2001. a, b
Mayer, C., Lambrecht, A., Oerter, H., Schwikowski, M., Vuillermoz, E., Frank, N., and Diolaiuti, G.: Accumulation Studies at a High Elevation Glacier Site in Central Karakoram, Adv. Meteorol., 2014, 1–12, https://doi.org/10.1155/2014/215162, 2014. a, b
Mihalcea, C., Mayer, C., Diolaiutt, G., D’Agata, C., Smiraglia, C., Lambrecht, A., Vuillermoz, E., and Tartari, G.: Spatial distribution of debris thickness and melting from remote-sensing and meteorological data, at debris-covered Baltoro glacier, Karakoram, Pakistan, Ann. Glaciol., 48, 49–57, https://doi.org/10.3189/172756408784700680, 2008. a
Miles, K. E., Hubbard, B., Irvine-Fynn, T. D. L., Miles, E. S., Quincey, D. J., and Rowan, A. V.: Hydrology of debris-covered glaciers in High Mountain Asia, Earth-Sci. Rev., 207, 103212, https://doi.org/10.1016/j.earscirev.2020.103212, 2020. a, b, c
Nagler, T. and Rott, H.: Retrieval of wet snow by means of multitemporal SAR data, IEEE T. Geosci. Remote, 38, 754–765, https://doi.org/10.1109/36.842004, 2000. a, b
Nanni, U., Scherler, D., Ayoub, F., Millan, R., Herman, F., and Avouac, J.-P.: Climatic control on seasonal variations in mountain glacier surface velocity, The Cryosphere, 17, 1567–1583, https://doi.org/10.5194/tc-17-1567-2023, 2023. a, b, c, d
Nicholson, L. and Benn, D.: Calculating ice melt beneath a de-bris layer using meteorological data, J. Glaciol., 52, 463–470, https://doi.org/10.3189/172756506781828584, 2006. a
Nicholson, L. I., McCarthy, M., Pritchard, H. D., and Willis, I.: Supraglacial debris thickness variability: impact on ablation and relation to terrain properties, The Cryosphere, 12, 3719–3734, https://doi.org/10.5194/tc-12-3719-2018, 2018. a, b
Nienow, P., Sharp, M., and Willis, I.: Seasonal changes in the morphology of the subglacial drainage system, Haut Glacier d'Arolla, Switzerland, Earth Surf. Proc. Land., 23, 825–843, 1998. a
Nolan, M. and Echelmeyer, K.: Seismic detection of transient changes beneath Black Rapids Glacier, Alaska, U.S.A.: II. Basal morphology and processes, J. Glaciol., 45, 132–146, https://doi.org/10.3189/S0022143000003117, 1999. a
Obilor, E. I. and Amadi, E.: Test for Significance of Pearson's Correlation Coefficient (r), International Journal of Innovative Mathematics, Statistics and Energy Policies, 6, 11–23, 2018. a
Otto, F. E. L., Zachariah, M., Saeed, F., Siddiqi, A., Kamil, S., Mushtaq, H., Arulalan, T., AchutaRao, K., Chaithra, S. T., Barnes, C., Philip, S., Kew, S., Vautard, R., Koren, G., Pinto, I., Wolski, P., Vahlberg, M., Singh, R., Arrighi, J., van Aalst, M., Thalheimer, L., Raju, E., Li, S., Yang, W., Harrington, L. J., and Clarke, B.: Climate change increased extreme monsoon rainfall, flooding highly vulnerable communities in Pakistan, Environmental Research: Climate, 2, 025001, https://doi.org/10.1088/2752-5295/acbfd5, 2023. a
Planet: Daily Earth Data to See Change and Make Better Decisions, Planet [data set], https://www.planet.com/, last access: 10 August 2023. a
Rada Giacaman, C. A. and Schoof, C.: Channelized, distributed, and disconnected: spatial structure and temporal evolution of the subglacial drainage under a valley glacier in the Yukon, The Cryosphere, 17, 761–787, https://doi.org/10.5194/tc-17-761-2023, 2023. a
Röthlisberger, H.: Water Pressure in Intra- and Subglacial Channels, J. Glaciol., 11, 177–203, https://doi.org/10.3189/S0022143000022188, 1972.
Rott, H. and Mätzler, C.: Possibilities and Limits of Synthetic Aperture Radar for Snow and Glacier Surveying, Ann. Glaciol., 9, 195–199, https://doi.org/10.3189/S0260305500000604, 1987. a
Sahr, K.: Hexagonal discrete global grid systems for geospatial computing, Archiwum Fotogrametrii, Kartografii i Teledetekcji, 22, 363–376, 2011. a
Sakai, A.: Glacial lakes in the Himalayas: a review on formation and expansion processes, Global Environ. Res., 16, 23–30, 2012. a
Sakai, A. and Fujita, K.: Formation conditions of supraglacial lakes on debris covered glaciers in the Himalaya, J. Glaciol., 56, 177–181, https://doi.org/10.3189/002214310791190785, 2006. a
Scher, C., Steiner, N. C., and McDonald, K. C.: Mapping seasonal glacier melt across the Hindu Kush Himalaya with time series synthetic aperture radar (SAR), The Cryosphere, 15, 4465–4482, https://doi.org/10.5194/tc-15-4465-2021, 2021. a
Schmitt, A., Wendleder, A., and Hinz, S.: The Kennaugh element framework for multi-scale, multi-polarized,multi-temporal and multi-frequency SAR image preparation, ISPRS J. Photogramm., 102, 122–139, https://doi.org/10.1016/S0031-3203(00)00136-9, 2015. a, b
Schmitt, A., Wendleder, A., Kleynmans, R., Hell, M., Roth, A., and Hinz, S.: Multi-Source and Multi-Temporal Image Fusion on Hypercomplex Bases, Remote Sens.-Basel, 12, 2083–2096, https://doi.org/10.3390/rs12060943, 2020. a, b, c
Schoof, C.: Ice-sheet acceleration driven by melt supply variability, Nature, 468, 803–806, https://doi.org/10.1038/nature09618, 2010. a
Shi, J. and Dozier, J.: Inferring snow wetness using C-band data from SIR-C's polarimetric synthetic aperture radar, IEEE T. Geosci. Remote, 33, 905–914, https://doi.org/10.1109/36.406676, 1995. a
Stevens, L. A., Nettles, M., Davis, J. L., Creyts, T. T., Kingslake, J., Hewitt, I. J., and Stubblefield, A.: Tidewater-glacier response to supraglacial lake drainage, Nat. Commun., 13, 1–11, https://doi.org/10.1038/s41467-022-33763-2, 2022. a
Strozzi, T., Luckman, A., Murray, T., Wegmuller, U., and Werner, C. L.: Glacier motion estimation using SAR offset-tracking procedures, IEEE T. Geosci. Remote, 40, 2384–2391, https://doi.org/10.1109/TGRS.2002.805079, 2002. a, b
Sugiyama, S., Skvarca, P., Naito, N., Enomoto, H., Tsutaki, S., Tone, K., Marinsek, S., and Aniya, M.: Ice speed of a calving glacier modulated by small fluctuations in basal water pressure, Nat. Geosci., 4, 597–600, https://doi.org/10.1038/ngeo1218, 2011. a
Sundal, A. V., Shepherd, A., Nienow, P., Hanna, E., Palmer, S., and Huybrechts, P.: Melt-induced speed-up of Greenland ice sheet offset by efficient subglacial drainage, Nature, 469, 521–524, https://doi.org/10.1038/nature09740, 2011. a
Thayyen, R. J. and Gergan, J. T.: Role of glaciers in watershed hydrology: a preliminary study of a ”Himalayan catchment”, The Cryosphere, 4, 115–128, https://doi.org/10.5194/tc-4-115-2010, 2010. a
TU Berlin: The High Asia Refined analysis (HAR), TU Berlin [data set], https://www.tu.berlin/klima/forschung/regionalklimatologie/hochasien/har, last access: 10 August 2023. a
Van Wychen, W., Burgess, D. O., Gray, L., Copland, L., Sharp, M., Dowdeswell, J. A., and Benham, T. J.: Glacier velocities and dynamic ice discharge from the Queen Elizabeth Islands, Nunavut, Canada, Geophys. Res. Lett., 41, 484–490, https://doi.org/10.1002/2013GL058558, 2014. a
Vincent, C. and Moreau, L.: Sliding velocity fluctuations and subglacial hydrology over the last two decades on Argentière glacier, Mont Blanc area, J. Glaciol., 62, 805–815, https://doi.org/10.1017/jog.2016.35, 2016. a, b
Wang, X., Tolksdorf, V., Otto, M., and Scherer, D.: WRF-based dynamical downscaling of ERA5 reanalysis data for High Mountain Asia: Towards a new version of the High Asia Refined analysis, Int. J. Climatol., 41, 743–762, https://doi.org/10.1002/joc.6686, 2021. a, b
Watson, C., Quincey, D., Carrivick, J., and Smith, M.: 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. a
Weertman, J.: The Theory of Glacier Sliding, J. Glaciol., 5, 287–303, https://doi.org/10.3189/S0022143000029038, 1964. a
Wegmüller, U., Werner, C., Strozzi, T., Wiesmann, A., Frey, O., and Santoro, M.: Sentinel-1 Support in the GAMMA Software, Procedia Comput. Sci., 100, 1305–1312, https://doi.org/10.1016/j.procs.2016.09.246, 2016. a
Wendleder, A., Schmitt, A., Erbertseder, T., D'Angelo, P., Mayer, C., and Braun, M. H.: Seasonal Evolution of Supraglacial Lakes on Baltoro Glacier From 2016 to 2020, Front. Earth Sci., 9, 1–16, https://doi.org/10.3389/feart.2021.725394, 2021b. a
Wendleder, A., Mix, V., and Schmitt, A.: The Glacier Zone Index applied on the Manson Icefield, EUSAR 2022, 14th European Conference on Synthetic Aperture Radar, Leipzig, Germany, 25–27 July 2022, ISBN 978-3-8007-5823-4, 1–5, 2022. a
Werder, M. A., Hewitt, I. J., Schoof, C. G., and Flowers, G. E.: Modeling channelized and distributed subglacial drainage in two dimensions, J. Geophys. Res.-Earth, 118, 2140–2158, https://doi.org/10.1002/jgrf.20146, 2013. a
Østrem, G.: Ice Melting under a Thin Layer of Moraine, and the Existence of Ice Cores in Moraine Ridges, Geographic Annals, 41, 228–230, https://doi.org/10.1007/s00477-018-1605-2, 1959. a
Short summary
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.
This study analyses the basal sliding and the hydrological drainage of Baltoro Glacier,...
