Articles | Volume 16, issue 5
https://doi.org/10.5194/tc-16-2067-2022
© Author(s) 2022. 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-16-2067-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 May 2022
Research article |
| 31 May 2022
| 31 May 2022
Recent contrasting behaviour of mountain glaciers across the European High Arctic revealed by ArcticDEM data
Cryosphere Research Unit, Faculty of Geographical and Geological Sciences, Adam Mickiewicz University, Poznań,
Poland
Related authors
Jakub Małecki
The Cryosphere, 10, 1317–1329, https://doi.org/10.5194/tc-10-1317-2016, https://doi.org/10.5194/tc-10-1317-2016, 2016
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Svalbard is a major terrestrial ice repository in the Arctic. This paper characterizes response of glaciers in its central part (Dickson Land) to climate change. After the Little Ice Age termination (ca. 1900) all glaciers have been retreating with an accelerating trend. After 1990 they have been thinning also in their highest zones, so most of them may be expected to disappear. These negative changes are linked to increasing air temperature over the region and contribute to sea-level rise.
Jakub Małecki
The Cryosphere, 10, 1317–1329, https://doi.org/10.5194/tc-10-1317-2016, https://doi.org/10.5194/tc-10-1317-2016, 2016
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Svalbard is a major terrestrial ice repository in the Arctic. This paper characterizes response of glaciers in its central part (Dickson Land) to climate change. After the Little Ice Age termination (ca. 1900) all glaciers have been retreating with an accelerating trend. After 1990 they have been thinning also in their highest zones, so most of them may be expected to disappear. These negative changes are linked to increasing air temperature over the region and contribute to sea-level rise.
Related subject area
Discipline: Glaciers | Subject: Mass Balance Obs
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European heat waves 2022: contribution to extreme glacier melt in Switzerland inferred from automated ablation readings
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Applying artificial snowfall to reduce the melting of the Muz Taw Glacier, Sawir Mountains
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Brief communication: Ad hoc estimation of glacier contributions to sea-level rise from the latest glaciological observations
Heterogeneous spatial and temporal pattern of surface elevation change and mass balance of the Patagonian ice fields between 2000 and 2016
Long-range terrestrial laser scanning measurements of annual and intra-annual mass balances for Urumqi Glacier No. 1, eastern Tien Shan, China
Multi-year evaluation of airborne geodetic surveys to estimate seasonal mass balance, Columbia and Rocky Mountains, Canada
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Annelies Voordendag, Rainer Prinz, Lilian Schuster, and Georg Kaser
The Cryosphere, 17, 3661–3665, https://doi.org/10.5194/tc-17-3661-2023, https://doi.org/10.5194/tc-17-3661-2023, 2023
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The Glacier Loss Day (GLD) is the day on which all mass gained from the accumulation period is lost, and the glacier loses mass irrecoverably for the rest of the mass balance year. In 2022, the GLD was already reached on 23 June at Hintereisferner (Austria), and this led to a record-breaking mass loss. We introduce the GLD as a gross yet expressive indicator of the glacier’s imbalance with a persistently warming climate.
Aaron Cremona, Matthias Huss, Johannes Marian Landmann, Joël Borner, and Daniel Farinotti
The Cryosphere, 17, 1895–1912, https://doi.org/10.5194/tc-17-1895-2023, https://doi.org/10.5194/tc-17-1895-2023, 2023
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Summer heat waves have a substantial impact on glacier melt as emphasized by the extreme summer of 2022. This study presents a novel approach for detecting extreme glacier melt events at the regional scale based on the combination of automatically retrieved point mass balance observations and modelling approaches. The in-depth analysis of summer 2022 evidences the strong correspondence between heat waves and extreme melt events and demonstrates their significance for seasonal melt.
Martina Barandun and Eric Pohl
The Cryosphere, 17, 1343–1371, https://doi.org/10.5194/tc-17-1343-2023, https://doi.org/10.5194/tc-17-1343-2023, 2023
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Meteorological and glacier mass balance data scarcity introduces large uncertainties about drivers of heterogeneous glacier mass balance response in Central Asia. We investigate the consistency of interpretations derived from various datasets through a systematic correlation analysis between climatic and static drivers with mass balance estimates. Our results show in particular that even supposedly similar datasets lead to different and partly contradicting assumptions on dominant drivers.
Kenshiro Arie, Chiyuki Narama, Ryohei Yamamoto, Kotaro Fukui, and Hajime Iida
The Cryosphere, 16, 1091–1106, https://doi.org/10.5194/tc-16-1091-2022, https://doi.org/10.5194/tc-16-1091-2022, 2022
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In recent years, seven glaciers are confirmed in the northern Japanese Alps. However, their mass balance has not been clarified. In this study, we calculated the seasonal and continuous annual mass balance of these glaciers during 2015–2019 by the geodetic method using aerial images and SfM–MVS technology. Our results showed that the mass balance of these glaciers was different from other glaciers in the world. The characteristics of Japanese glaciers provide new insights for earth science.
Johannes Marian Landmann, Hans Rudolf Künsch, Matthias Huss, Christophe Ogier, Markus Kalisch, and Daniel Farinotti
The Cryosphere, 15, 5017–5040, https://doi.org/10.5194/tc-15-5017-2021, https://doi.org/10.5194/tc-15-5017-2021, 2021
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In this study, we (1) acquire real-time information on point glacier mass balance with autonomous real-time cameras and (2) assimilate these observations into a mass balance model ensemble driven by meteorological input. For doing so, we use a customized particle filter that we designed for the specific purposes of our study. We find melt rates of up to 0.12 m water equivalent per day and show that our assimilation method has a higher performance than reference mass balance models.
Christian Vincent, Diego Cusicanqui, Bruno Jourdain, Olivier Laarman, Delphine Six, Adrien Gilbert, Andrea Walpersdorf, Antoine Rabatel, Luc Piard, Florent Gimbert, Olivier Gagliardini, Vincent Peyaud, Laurent Arnaud, Emmanuel Thibert, Fanny Brun, and Ugo Nanni
The Cryosphere, 15, 1259–1276, https://doi.org/10.5194/tc-15-1259-2021, https://doi.org/10.5194/tc-15-1259-2021, 2021
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In situ glacier point mass balance data are crucial to assess climate change in different regions of the world. Unfortunately, these data are rare because huge efforts are required to conduct in situ measurements on glaciers. Here, we propose a new approach from remote sensing observations. The method has been tested on the Argentière and Mer de Glace glaciers (France). It should be possible to apply this method to high-spatial-resolution satellite images and on numerous glaciers in the world.
Feiteng Wang, Xiaoying Yue, Lin Wang, Huilin Li, Zhencai Du, Jing Ming, and Zhongqin Li
The Cryosphere, 14, 2597–2606, https://doi.org/10.5194/tc-14-2597-2020, https://doi.org/10.5194/tc-14-2597-2020, 2020
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How to mitigate the melting of most mountainous glaciers is a disturbing issue for scientists and the public. We chose the Muz Taw Glacier of the Sawir Mountains as our study object. We carried out two artificial precipitation experiments on the glacier to study the role of precipitation in mitigating its melting. The average mass loss from the glacier decreased by over 14 %. We also propose a possible mechanism describing the role of precipitation in mitigating the melting of the glaciers.
Shuang Yi, Chunqiao Song, Kosuke Heki, Shichang Kang, Qiuyu Wang, and Le Chang
The Cryosphere, 14, 2267–2281, https://doi.org/10.5194/tc-14-2267-2020, https://doi.org/10.5194/tc-14-2267-2020, 2020
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High-Asia glaciers have been observed to be retreating the fastest in the southeastern Tibeten Plateau, where vast amounts of glacier and snow feed the streamflow of the Brahmaputra. Here, we provide the first monthly glacier and snow mass balance during 2002–2017 based on satellite gravimetry. The results confirm previous long-term decreases but reveal strong seasonal variations. This work helps resolve previous divergent model estimates and underlines the importance of meltwater.
Michael Zemp, Matthias Huss, Nicolas Eckert, Emmanuel Thibert, Frank Paul, Samuel U. Nussbaumer, and Isabelle Gärtner-Roer
The Cryosphere, 14, 1043–1050, https://doi.org/10.5194/tc-14-1043-2020, https://doi.org/10.5194/tc-14-1043-2020, 2020
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Comprehensive assessments of global glacier mass changes have been published at multi-annual intervals, typically in IPCC reports. For the years in between, we present an approach to infer timely but preliminary estimates of global-scale glacier mass changes from glaciological observations. These ad hoc estimates for 2017/18 indicate that annual glacier contributions to sea-level rise exceeded 1 mm sea-level equivalent, which corresponds to more than a quarter of the currently observed rise.
Wael Abdel Jaber, Helmut Rott, Dana Floricioiu, Jan Wuite, and Nuno Miranda
The Cryosphere, 13, 2511–2535, https://doi.org/10.5194/tc-13-2511-2019, https://doi.org/10.5194/tc-13-2511-2019, 2019
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We use topographic maps from two radar remote-sensing missions to map surface elevation changes of the northern and southern Patagonian ice fields (NPI and SPI) for two epochs (2000–2012 and 2012–2016). We find a heterogeneous pattern of thinning within the ice fields and a varying temporal trend, which may be explained by complex interdependence between surface mass balance and effects of flow dynamics. The contribution to sea level rise amounts to 0.05 mm a−1 for both ice fields for 2000–2016.
Chunhai Xu, Zhongqin Li, Huilin Li, Feiteng Wang, and Ping Zhou
The Cryosphere, 13, 2361–2383, https://doi.org/10.5194/tc-13-2361-2019, https://doi.org/10.5194/tc-13-2361-2019, 2019
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We take Urumqi Glacier No. 1 as an example and validate a long-range terrestrial laser scanner (TLS) as an efficient tool for monitoring annual and intra-annual mass balances, especially for inaccessible glacier areas where no glaciological measurements are available. The TLS has application potential for glacier mass-balance monitoring in China. For wide applications of the TLS, we can select some benchmark glaciers and use stable scan positions and in-situ-measured densities of snow–firn.
Ben M. Pelto, Brian Menounos, and Shawn J. Marshall
The Cryosphere, 13, 1709–1727, https://doi.org/10.5194/tc-13-1709-2019, https://doi.org/10.5194/tc-13-1709-2019, 2019
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Changes in glacier mass are the direct response to meteorological conditions during the accumulation and melt seasons. We derived multi-year, seasonal mass balance from airborne laser scanning surveys and compared them to field measurements for six glaciers in the Columbia and Rocky Mountains, Canada. Our method can accurately measure seasonal changes in glacier mass and can be easily adapted to derive seasonal mass change for entire mountain ranges.
Daniel McGrath, Louis Sass, Shad O'Neel, Chris McNeil, Salvatore G. Candela, Emily H. Baker, and Hans-Peter Marshall
The Cryosphere, 12, 3617–3633, https://doi.org/10.5194/tc-12-3617-2018, https://doi.org/10.5194/tc-12-3617-2018, 2018
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Measuring the amount and spatial pattern of snow on glaciers is essential for monitoring glacier mass balance and quantifying the water budget of glacierized basins. Using repeat radar surveys for 5 consecutive years, we found that the spatial pattern in snow distribution is stable over the majority of the glacier and scales with the glacier-wide average. Our findings support the use of sparse stake networks for effectively measuring interannual variability in winter balance on glaciers.
Caitlyn Florentine, Joel Harper, Daniel Fagre, Johnnie Moore, and Erich Peitzsch
The Cryosphere, 12, 2109–2122, https://doi.org/10.5194/tc-12-2109-2018, https://doi.org/10.5194/tc-12-2109-2018, 2018
Martina Barandun, Matthias Huss, Ryskul Usubaliev, Erlan Azisov, Etienne Berthier, Andreas Kääb, Tobias Bolch, and Martin Hoelzle
The Cryosphere, 12, 1899–1919, https://doi.org/10.5194/tc-12-1899-2018, https://doi.org/10.5194/tc-12-1899-2018, 2018
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In this study, we used three independent methods (in situ measurements, comparison of digital elevation models and modelling) to reconstruct the mass change from 2000 to 2016 for three glaciers in the Tien Shan and Pamir. Snow lines observed on remote sensing images were used to improve conventional modelling by constraining a mass balance model. As a result, glacier mass changes for unmeasured years and glaciers can be better assessed. Substantial mass loss was confirmed for the three glaciers.
Helmut Rott, Wael Abdel Jaber, Jan Wuite, Stefan Scheiblauer, Dana Floricioiu, Jan Melchior van Wessem, Thomas Nagler, Nuno Miranda, and Michiel R. van den Broeke
The Cryosphere, 12, 1273–1291, https://doi.org/10.5194/tc-12-1273-2018, https://doi.org/10.5194/tc-12-1273-2018, 2018
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We analysed volume change, mass balance and ice flow of glaciers draining into the Larsen A and Larsen B embayments on the Antarctic Peninsula for 2011 to 2013 and 2013 to 2016. The mass balance is based on elevation change measured by the radar satellite mission TanDEM-X and on the mass budget method. The glaciers show continuing losses in ice mass, which is a response to ice shelf break-up. After 2013 the downwasting of glaciers slowed down, coinciding with years of persistent sea ice cover.
Cited articles
Årthun, M., Eldevik, T., Smedsrud, L. H., Skagseth, Ø., and
Ingvaldsen, R. B.: Quantifying the influence of atlantic heat on Barents Sea
ice variability and retreat, J. Climate, 25, 4736–4743, https://doi.org/10.1175/JCLI-D-11-00466.1, 2012.
Asbjørnsen, H., Årthun, M., Skagseth, Ø., and Eldevik, T.:
Mechanisms underlying recent Arctic Atlantification, Geophys. Res. Lett., 47,
e2020GL088036, https://doi.org/10.1029/2020GL088036, 2020.
Bamber, J., Krabill, W., Raper, V., and Dowdeswell, J.: Anomalous recent
growth of part of a large Arctic ice cap: Austfonna, Svalbard, Geophys. Res. Lett., 31, L12402,
https://doi.org/10.1029/2004GL019667, 2004.
Barr, I., Dokukin, M., Kougkoulos, I., Livingstone, S., Lovell, H., Małecki, J., and Muraviev, A.: Using ArcticDEM to analyse the dimensions and
dynamics of debris-covered glaciers in Kamchatka, Russia, Geosciences, 8, 216, https://doi.org/10.3390/geosciences8060216, 2018.
Barton, B. I., Lenn, Y., and Lique, C.: Observed Atlantification of the
Barents Sea causes the polar front to limit the expansion of winter sea ice,
J. Phys. Oceanogr., 48, 1849–1866, https://doi.org/10.1175/JPO-D-18-0003.1, 2018.
Błaszczyk, M., Ignatiuk, D., Grabiec, M., Kolondra, L., Laska, M., Decaux,
L., Jania, J., Berthier, E., Luks, B., Barzycka, B., and Czapla, M.: Quality
assessment and glaciological applications of digital elevation models
derived from space-borne and aerial images over two tidewater glaciers of
southern Spitsbergen, Rem. Sens., 11, 1121, https://doi.org/10.3390/rs11091121, 2019.
Box, J. E., Colgan, W. T., Wouters, B., Burgess, D., O'Neel, S., Thomson, L.
I., and Mernild, S. H.: Global sea-level contribution from Arctic land ice:
1971–2017, Environ. Res. Lett., 13, 125012, https://doi.org/10.1088/1748-9326/aaf2ed, 2018.
Cauvy-Fraunié, S. and Dangles, O.: A global synthesis of biodiversity
responses to glacier retreat, Nature Ecology & Evolution, 3, 1675–1685, https://doi.org/10.1038/s41559-019-1042-8, 2019.
Ciracì, E., Velicogna, I., and Sutterley, T.: Mass Balance of Novaya
Zemlya archipelago, Russian High Arctic, using time-variable gravity from
GRACE and altimetry data from ICEsat and Cryosat-2, Rem. Sens., 10, 1817, https://doi.org/10.3390/rs10111817, 2018.
Comiso, J. C. and Hall, D. K.: Climate trends in the Arctic as observed from
space, WIREs Clim. Change, 5, 389–409, https://doi.org/10.1002/wcc.277, 2014.
Dahlke, S., Hughes, N. E., Wagner, P. M., Gerland, S., Wawrzyniak, T.,
Ivanov, B., and Maturlii, M.: The observed recent surface air temperature
development across Svalbard and concurring footprints in local sea ice
cover, Int. J. Climatol., 40, 5246–5265, https://doi.org/10.1002/joc.6517,
2020.
Elagina, N., Kutuzov, S., Rets, E., Smirnov, A., Chernov, R., Lavrentiev,
I., and Mavlyudov, B.: Mass balance of Austre Grønfjordbreen, Svalbard,
2006–2020, estimated by glaciological, geodetic and modeling approaches,
Geosciences, 11, 78, https://doi.org/10.3390/geosciences11020078, 2021.
Etzelmüller, B., Vatne, G., Ødegârd, R. S., and Sollid J. L.:
Mass balance and changes of surface slope, crevasse and flow pattern of
Erikbreen, northern Spitsbergen: an application of a geographical
information system (GIS), Polar Res., 12, 131–146, https://doi.org/10.3402/polar.v12i2.6709, 1993.
Farinotti, D. and Huss, M.: An upper-bound estimate for the accuracy of glacier volume–area scaling, The Cryosphere, 7, 1707–1720, https://doi.org/10.5194/tc-7-1707-2013, 2013.
Farinotti, D., Huss, M., Fürst, J. J., Landmann, J., Machguth, H.,
Maussion, F., and Pandit, A.: A consensus estimate for the ice thickness
distribution of all glaciers on Earth, Nat. Geosci., 12, 168–173, https://doi.org/10.1038/s41561-019-0300-3, 2019.
Geyman, E. C., van Pelt, W. J. J., Maloof, A. C., Aas, H. F., and Kohler, J.:
Historical glacier change on Svalbard predicts doubling of mass loss by
2100, Nature, 601, 374–379, https://doi.org/10.1038/s41586-021-04314-4, 2022.
Grant, K., Stokes, C., and Evans, I.: Identification and characteristics of
surge-type glaciers on Novaya Zemlya, Russian Arctic, J. Glaciol., 55, 960–972, https://doi.org/10.3189/002214309790794940, 2009.
Hagen, J., Eiken, T., Kohler, J., and Melvold, K.: Geometry changes on
Svalbard glaciers: mass-balance or dynamic response?, Ann. Glaciol., 42, 255–261, https://doi.org/10.3189/172756405781812763, 2005.
Hagen, J. O., Liestøl, O., Roland, E., and Jørgensen, T.: Glacier atlas
of Svalbard and Jan Mayen, Oslo, Norwegian Polar Institute, 1993.
Hambrey, M. J., Murray, T., Glasser, N. F., Hubbard, A., Hubbard, B.,
Stuart, G., Hansen, S., and Kohler, J.: Structure and changing dynamics of a
polythermal valley glacier on a centennial timescale: Midre Lovénbreen,
Svalbard, J. Geophys. Res., 110, F01006, https://doi.org/10.1029/2004JF000128,
2005.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková,
M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay,
P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut J.-N.: The ERA5
global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Holmlund, E.: Aldegondabreen glacier change since 1910 from
structure-from-motion photogrammetry of archived terrestrial and aerial
photographs: Utility of a historic archive to obtain century-scale Svalbard
glacier mass losses, J. Glaciol., 67, 107–116, https://doi.org/10.1017/jog.2020.89, 2020.
Hopwood, M. J., Carroll, D., Dunse, T., Hodson, A., Holding, J. M., Iriarte, J. L., Ribeiro, S., Achterberg, E. P., Cantoni, C., Carlson, D. F., Chierici, M., Clarke, J. S., Cozzi, S., Fransson, A., Juul-Pedersen, T., Winding, M. H. S., and Meire, L.: Review article: How does glacier discharge affect marine biogeochemistry and primary production in the Arctic?, The Cryosphere, 14, 1347–1383, https://doi.org/10.5194/tc-14-1347-2020, 2020.
Hugonnet, R., McNabb, R., Berthier, E., Menounos, B., Nuth, C., Girod, L.,
Farinotti, D., Huss, M., Dussaillant, I., Brun, F., and Kääb, A.:
Accelerated global glacier mass loss in the early twenty-first century,
Nature, 592, 726–731, https://doi.org/10.1038/s41586-021-03436-z,
2021.
Huss, M.: Density assumptions for converting geodetic glacier volume change to mass change, The Cryosphere, 7, 877–887, https://doi.org/10.5194/tc-7-877-2013, 2013.
Huss, M. and Hock, R.: Global-scale hydrological response to future glacier
mass loss, Nature, 8, 135–140, https://doi.org/10.1038/s41558-017-0049-x, 2018.
Isaksen, K., Nordli, Ø., Førland, E. J., Łupikasza, E., Eastwood,
S., and Niedźwiedź, T.: Recent warming on Spitsbergen – Influence of
atmospheric circulation and sea ice cover, J. Geophys. Res.-Atmos., 121, 11913–11931, https://doi.org/10.1002/2016JD025606, 2016.
James, T. D., Murray, T., Barrand, N. E., Sykes, H. J., Fox, A. J., and King, M. A.: Observations of enhanced thinning in the upper reaches of Svalbard glaciers, The Cryosphere, 6, 1369–1381, https://doi.org/10.5194/tc-6-1369-2012, 2012.
Jiskoot, H., Murray, T., and Boyle, P.: Controls on the distribution of
surge-type glaciers in Svalbard, J. Glaciol., 46, 412–422,
https://doi.org/10.3189/172756500781833115, 2000.
Kohler, J., James, T. D., Murray, T.,
Nuth, C., Brandt, O., Barrand, N. E., Aas, H. F., and Luckman A.:
Acceleration in thinning rate on western Svalbard glaciers. Geophys. Res. Lett., 34, L18502,
https://doi.org/10.1029/2007GL030681, 2007.
Kohnemann, S. H. E., Heinemann, G., Bromwich, D. H., and Gutjahr, O.:
Extreme warming in the Kara Sea and Barents Sea during the winter period
2000–16, J. Climate, 30, 8913–8927, https://doi.org/10.1175/JCLI-D-16-0693.1, 2017.
Lamsters, K., Ješkins, J., Sobota, I., Karušs, J., and
Džeriòš, P.: Surface Characteristics, Elevation Change, and Velocity
of High-Arctic Valley Glacier from Repeated High-Resolution UAV
Photogrammetry, Remote Sens., 14, 1029, https://doi.org/10.3390/rs14041029,
2022.
Lind, S., Ingvaldsen, R. B., and Furevik, T.: Arctic warming hotspot in the
northern Barents Sea linked to declining sea-ice import, Nat. Clim. Change, 8, 634–639, https://doi.org/10.1038/s41558-018-0205-y, 2018.
Małecki, J.: Some comments on the flow velocity and thinning of Svenbreen,
Dickson Land, Svalbard, Czech Polar Rep., 4, 1–8, 2014.
Małecki, J.: Accelerating retreat and high-elevation thinning of glaciers in central Spitsbergen, The Cryosphere, 10, 1317–1329, https://doi.org/10.5194/tc-10-1317-2016, 2016.
Martín-Español, A., Navarro, F., Otero, J., Lapazaran, J., and Błaszczyk, M.: Estimate of the total volume of Svalbard glaciers, and their
potential contribution to sea-level rise, using new regionally based scaling
relationships, J. Glaciol., 61, 29–41, https://doi.org/10.3189/2015JoG14J159, 2015.
Melvold, K. and Hagen, J. O.: Evolution of a surge-type glacier in its
quiescent phase: Kongsvegen, Spitsbergen, 1964–95, J. Glaciol., 44, 394–404, https://doi.org/10.3189/S0022143000002720, 1998.
Milner, A. M., Khamis, K., Battin, T. J., Brittain, J. E., Barrand, N. E.,
Füreder, L., Cauvy-Fraunié, S., Gíslason, G. M., Jacobsen, D.,
Hannah, D. M., Hodson, A. J., Hood, E., Lencioni, V., Ólafsson, J. S.,
Robinson, C. T., Tranter, M., and Brown, L. E.: Glacier shrinkage driving
global changes in downstream systems, PNAS, 114, 9770–9778, https://doi.org/10.1073/pnas.1619807114, 2017
Moholdt, G., Wouters, B., and Gardner, A. S.: Recent mass changes of
glaciers in the Russian High Arctic, Geophys. Res. Lett., 39, L10502, https://doi.org/10.1029/2012GL051466, 2012.
Morris, A., Moholdt, G., and Gray, L.: Spread of Svalbard glacier mass loss
to Barents Sea margins revealed by CryoSat-2, J. Geophys. Res.-Earth, 125, e2019JF005357,
https://doi.org/10.1029/2019JF005357, 2020.
Noël, B., van de Berg, W. J., Lhermitte, S., Wouters, B., Schaffer, N.,
and van den Broeke, M. R.: Six decades of glacial mass loss in the Canadian
Arctic Archipelago, J. Geophys. Res.-Earth, 123, 1430–1449, https://doi.org/10.1029/2017JF004304, 2018.
Noël, B., Jakobs, C. L., van Pelt, W. J. J., Lhermite, S., Wouters, B.,
Kohler, J., Hagen, J. O., Luks, B., Reijmer, C. H., van de Berg, W. J., van
den Broeke, M. R.: Low elevation of Svalbard glaciers drives high mass loss
variability, Nat. Commun., 11, 4597, https://doi.org/10.1038/s41467-020-18356-1, 2020.
Noh, M.-J. and Howat, I. M.: Automated stereo-photogrammetric DEM
generation at high latitudes: Surface Extraction with TIN-based Search-space
Minimization (SETSM) validation and demonstration over glaciated regions,
GISci. Remote Sens., 52, 198–217, https://doi.org/10.1080/15481603.2015.1008621,
2015.
Nordli, Ø., Wyszyński, P., Gjelten, H. M., Isaksen, K., Łupikasza,
E., Niedźwiedź, T., and Przybylak, R.: Revisiting the extended
Svalbard Airport monthly temperature series, and the compiled corresponding
daily series 1898–2018, Polar Res., 39, 3614, https://doi.org/10.33265/polar.v39.3614, 2020.
NPI: Terrengmodell Svalbard (S0 Terrengmodell) Norwegian Polar
Institute, [data set], https://doi.org/10.21334/npolar.2014.dce53a47, 2014.
Nuth, C. and Kääb, A.: Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change, The Cryosphere, 5, 271–290, https://doi.org/10.5194/tc-5-271-2011, 2011.
Nuth, C., Kohler, J., Aas, H., Brandt, O., and Hagen, J.: Glacier geometry
and elevation changes on Svalbard (1936–90): A baseline dataset, Ann. Glaciol., 46,
106–116, https://doi.org/10.3189/172756407782871440, 2007.
Nuttall, A. and Hodgkins, R.: Temporal variations in flow velocity at
Finsterwalderbreen, a Svalbard surge-type glacier, Ann. Glaciol., 42, 71–76, https://doi.org/10.3189/172756405781813140, 2005.
Onarheim, I. H., Smedsrud, L. H., Ingvaldsen, R. B., and Nilsen, F.: Loss of
sea ice during winter north of Svalbard, Tellus A, 66, 23933, https://doi.org/10.3402/tellusa.v66.23933, 2014.
Pavlis, N. K., Holmes, S. A., Kenyon, S. C., and Factor, J. K.: The
development and evaluation of the Earth Gravitational Model 2008 (EGM2008),
J. Geophys. Res., 117, B04406, https://doi.org/10.1029/2011JB008916, 2012.
Pfeffer, W. T., Arendt, A. A., Bliss, A., Bolch, T., Cogley, J. G., Gardner,
A. S., Hagen, J.-O., Hock, R., Kaser, G., Kienholz, C., Miles, E. S.,
Moholdt, G., Mölg, N., Paul, F., Radić, V., Rastner, P., Raup, B.
H., Rich, J. and Sharp, M. J.: The Randolph Glacier Inventory: a globally
complete inventory of glaciers, J. Glaciol., 60, 537–552, https://doi.org/10.3189/2014JoG13J176, 2014.
Piechura, J. and Walczowski, W.: Warming of the West Spitsbergen Current
and sea ice north of Svalbard, Oceanologia, 51, 147–164, 2009.
Porter, C., Morin, P., Howat, I., Noh, M.-J., Bates, B., Peterman, K.,
Keesey, S., Schlenk, M., Gardiner, J., Tomko, K., Willis, M., Kelleher, C.,
Cloutier, M., Husby, E., Foga, S., Nakamura, H., Platson, M., Wethington, M.
Jr., Williamson, C., Bauer, G., Enos, J., Arnold, G., Kramer, W., Becker,
P., Doshi, A., D'Souza, C., Cummens, P., Laurier, F., and Bojesen, M.:
ArcticDEM, v3.0, Harvard Dataverse [data set], https://doi.org/10.7910/DVN/OHHUKH, 2018.
Schuler, T. V., Kohler, J., Elagina, N., Hagen, J. O. M., Hodson, A. J.,
Jania, J. A., Kääb, A. M., Luks, B., Małecki, J., Moholdt, G.,
Pohjola, V. A., Sobota, I., Van Pelt, W. J. J.: Reconciling Svalbard Glacier
Mass Balance, Front. Earth Sci., 8, 202, https://doi.org/10.3389/feart.2020.00156,
2020.
Screen, J. and Simmonds, I.: The central role of diminishing sea ice in
recent Arctic temperature amplification, Nature, 464, 1334–1337, https://doi.org/10.1038/nature09051, 2010.
Sevestre, H., Benn, D. I., Hulton, N. R. J., and Bælum, K.: Thermal
structure of Svalbard glaciers and implications for thermal switch models of
glacier surging, J. Geophys. Res.-Earth, 156, 2220–2236, https://doi.org/10.1002/2015JF003517, 2015.
Sobota, I., Nowak, M., and Weckwerth, P.: Long-term changes of glaciers in
north-western Spitsbergen, Global Planet. Change, 144, 182–197, https://doi.org/10.1016/j.gloplacha.2016.07.006, 2016.
Sommer, C., Seehaus, T., Glazovsky, A., and Braun, M. H.: Brief communication: Increased glacier mass loss in the Russian High Arctic (2010–2017), The Cryosphere, 16, 35–42, https://doi.org/10.5194/tc-16-35-2022, 2022.
Strzelecki, M. C., Long, A. J., Lloyd, J. M., Małecki, J., Zagórski,
P., Pawłowski, Ł., and Jaskólski, M. W.: The role of rapid glacier
retreat and landscape transformation in controlling the post-Little Ice Age
evolution of paraglacial coasts in central Spitsbergen (Billefjorden,
Svalbard), Land. Degrad. Dev., 29, 1962–1978, https://doi.org/10.1002/ldr.2923,
2018.
Strzelecki, M. C., Szczuciński, W., Dominiczak, A., Zagórski, P.,
Dudek, J., and Knight, J.: New fjords, new coasts, new landscapes: The
geomorphology of paraglacial coasts formed after recent glacier retreat in
Brepollen (Hornsund, southern Svalbard), Earth Surf. Proc. Land., 45, 1325–1334, https://doi.org/10.1002/esp.4819, 2020.
Szafraniec, J. E. and Dobiński, W.: Deglaciation Rate of Selected
Nunataks in Spitsbergen, Svalbard – Potential for Permafrost Expansion above
the Glacial Environment, Geosciences, 10, 202, https://doi.org/10.3390/geosciences10050202, 2020.
Torsvik, T., Albretsen, J., Sundfjord, A., Kohler, J., Sandvik, A. D.,
Skarðhamar, J., Lindbäck, K., and Everett, A.: Impact of tidewater
glacier retreat on the fjord system: Modeling present and future circulation
in Kongsfjorden, Svalbard, Estuar. Coast. Shelf Sci., 220, 152–165, https://doi.org/10.1016/j.ecss.2019.02.005, 2019.
van Pelt, W., Pohjola, V., Pettersson, R., Marchenko, S., Kohler, J., Luks, B., Hagen, J. O., Schuler, T. V., Dunse, T., Noël, B., and Reijmer, C.: A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018), The Cryosphere, 13, 2259–2280, https://doi.org/10.5194/tc-13-2259-2019, 2019.
Walczowski, W. and Piechura, J.: Influence of the West Spitsbergen Current
on the local climate, Int. J. Climatol., 31, 1088–1093, https://doi.org/10.1002/joc.2338, 2011.
Wawrzyniak, T. and Osuch, M.: A 40-year High Arctic climatological dataset of the Polish Polar Station Hornsund (SW Spitsbergen, Svalbard), Earth Syst. Sci. Data, 12, 805–815, https://doi.org/10.5194/essd-12-805-2020, 2020.
Wouters, B., Gardner, A. S., and Moholdt, G.: Global glacier mass loss
during the GRACE satellite mission (2002–2016), Front. Earth Sci., 7, 96, https://doi.org/10.3389/feart.2019.00096, 2019.
Zheng, W., Pritchard, M. E., Willis, M. J., Tepes, P., Gourmelen, N., Benham,
T. J., and Dowdeswell, J. A.: Accelerating glacier mass loss on Franz Josef
Land, Russian Arctic, Remote Sens. Environ., 211, 357–375, https://doi.org/10.1016/j.rse.2018.04.004, 2018.
Short summary
This study presents a snapshot of the recent state of small mountain glaciers across the European High Arctic, where severe climate warming has been occurring over the past years. The analysis revealed that this class of ice mass might melt away from many study sites within the coming two to five decades even without further warming. Glacier changes were, however, very variable in space, and some glaciers have been gaining mass, but the exact drivers behind this phenomenon are unclear.
This study presents a snapshot of the recent state of small mountain glaciers across the...
