Articles | Volume 10, issue 1
https://doi.org/10.5194/tc-10-159-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-10-159-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Jan 2016
Research article |
| 19 Jan 2016
Geodetic mass balance record with rigorous uncertainty estimates deduced from aerial photographs and lidar data – Case study from Drangajökull ice cap, NW Iceland
Institute of Earth Sciences, University of Iceland,
Sturlugata 7, 101 Reykjavík, Iceland
J. Muñoz-Cobo Belart
Institute of Earth Sciences, University of Iceland,
Sturlugata 7, 101 Reykjavík, Iceland
F. Pálsson
Institute of Earth Sciences, University of Iceland,
Sturlugata 7, 101 Reykjavík, Iceland
H. Ágústsson
Icelandic Meteorological Office, Bústaðavegi 7–9,
108 Reykjavík, Iceland
P. Crochet
Icelandic Meteorological Office, Bústaðavegi 7–9,
108 Reykjavík, Iceland
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Joaquín M. C. Belart, Etienne Berthier, Eyjólfur Magnússon, Leif S. Anderson, Finnur Pálsson, Thorsteinn Thorsteinsson, Ian M. Howat, Guðfinna Aðalgeirsdóttir, Tómas Jóhannesson, and Alexander H. Jarosch
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Sub-meter satellite stereo images (Pléiades and WorldView2) are used to accurately measure snow accumulation and winter mass balance of Drangajökull ice cap. This is done by creating and comparing accurate digital elevation models. A glacier-wide geodetic mass balance of 3.33 ± 0.23 m w.e. is derived between October 2014 and May 2015. This method could be easily transposable to remote glaciated areas where seasonal mass balance measurements (especially winter accumulation) are lacking.
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Glacier retreat elevates the risk of landslides released into proglacial lakes, which can trigger glacial lake outburst floods (GLOFs). This study maps proglacial lake evolution and GLOF hazard scenarios at Fjallsjökull glacier, Iceland. Lake volume increased from 1945–2021 and is estimated to triple over the next century. Three slopes are prone to landslides that may trigger GLOFs. Results will mitigate flood hazard at this popular tourism site and advance GLOF research in Iceland and globally.
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Geothermally active regions beneath glaciers not only influence local ice flow as well as the mass balance of glaciers but also control changes of subglacial water reservoirs and possible subsequent glacier lake outburst floods. In Iceland, such outburst floods impose danger to people and infrastructure and are therefore monitored. We present a novel computer-simulation-supported method to estimate the activity of such geothermal areas and to monitor its evolution.
Eyjólfur Magnússon, Finnur Pálsson, Magnús T. Gudmundsson, Thórdís Högnadóttir, Cristian Rossi, Thorsteinn Thorsteinsson, Benedikt G. Ófeigsson, Erik Sturkell, and Tómas Jóhannesson
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We present a unique insight into the shape and development of a subglacial lake over a 7-year period, using repeated radar survey. The lake collects geothermal meltwater, which is released in semi-regular floods, often referred to as jökulhlaups. The applicability of our survey approach to monitor the water stored in the lake for a better assessment of the potential hazard of jökulhlaups is demonstrated by comparison with independent measurements of released water volume during two jökulhlaups.
Joaquín M. C. Belart, Etienne Berthier, Eyjólfur Magnússon, Leif S. Anderson, Finnur Pálsson, Thorsteinn Thorsteinsson, Ian M. Howat, Guðfinna Aðalgeirsdóttir, Tómas Jóhannesson, and Alexander H. Jarosch
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Sub-meter satellite stereo images (Pléiades and WorldView2) are used to accurately measure snow accumulation and winter mass balance of Drangajökull ice cap. This is done by creating and comparing accurate digital elevation models. A glacier-wide geodetic mass balance of 3.33 ± 0.23 m w.e. is derived between October 2014 and May 2015. This method could be easily transposable to remote glaciated areas where seasonal mass balance measurements (especially winter accumulation) are lacking.
H. Hannesdóttir, H. Björnsson, F. Pálsson, G. Aðalgeirsdóttir, and Sv. Guðmundsson
The Cryosphere, 9, 565–585, https://doi.org/10.5194/tc-9-565-2015, https://doi.org/10.5194/tc-9-565-2015, 2015
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We evaluate the potential of Pléiades sub-meter satellite stereo imagery to derive digital elevation models (DEMs) of glaciers and their elevation changes. The vertical precision of the DEMs is ±1 m, even ±0.5m on the flat glacier tongues. Similar precision levels are obtained in accumulation areas. Comparison of a Pléiades DEM with a SPOT5 DEM reveals the strongly negative region-wide mass balances of glaciers in the Mont Blanc area (-1.04±0.23m at 1 water equivalent) during 2003-2012.
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The Cryosphere, 18, 5173–5206, https://doi.org/10.5194/tc-18-5173-2024, https://doi.org/10.5194/tc-18-5173-2024, 2024
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Haorui Sun, Yiwen Fang, Steven Margulis, Colleen Mortimer, Lawrence Mudryk, and Chris Derksen
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The European Space Agency's Snow Climate Change Initiative (Snow CCI) developed a high-quality snow cover extent and snow water equivalent (SWE) Climate Data Record. However, gaps exist in complex terrain due to challenges in using passive microwave sensing and in-situ measurements. This study presents a methodology to fill the mountain SWE gap using Snow CCI Snow Cover Fraction within a Bayesian SWE reanalysis framework, with potential applications in untested regions and with other sensors.
Brenton A. Wilder, Joachim Meyer, Josh Enterkine, and Nancy F. Glenn
The Cryosphere, 18, 5015–5029, https://doi.org/10.5194/tc-18-5015-2024, https://doi.org/10.5194/tc-18-5015-2024, 2024
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Benjamin J. Wallis, Anna E. Hogg, Yikai Zhu, and Andrew Hooper
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The Cryosphere, 18, 4703–4722, https://doi.org/10.5194/tc-18-4703-2024, https://doi.org/10.5194/tc-18-4703-2024, 2024
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Nils Risse, Mario Mech, Catherine Prigent, Gunnar Spreen, and Susanne Crewell
The Cryosphere, 18, 4137–4163, https://doi.org/10.5194/tc-18-4137-2024, https://doi.org/10.5194/tc-18-4137-2024, 2024
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Passive microwave observations from satellites are crucial for monitoring Arctic sea ice and atmosphere. To do this effectively, it is important to understand how sea ice emits microwaves. Through unique Arctic sea ice observations, we improved our understanding, identified four distinct emission types, and expanded current knowledge to include higher frequencies. These findings will enhance our ability to monitor the Arctic climate and provide valuable information for new satellite missions.
Melody Sandells, Nick Rutter, Kirsty Wivell, Richard Essery, Stuart Fox, Chawn Harlow, Ghislain Picard, Alexandre Roy, Alain Royer, and Peter Toose
The Cryosphere, 18, 3971–3990, https://doi.org/10.5194/tc-18-3971-2024, https://doi.org/10.5194/tc-18-3971-2024, 2024
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Satellite microwave observations are used for weather forecasting. In Arctic regions this is complicated by natural emission from snow. By simulating airborne observations from in situ measurements of snow, this study shows how snow properties affect the signal within the atmosphere. Fresh snowfall between flights changed airborne measurements. Good knowledge of snow layering and structure can be used to account for the effects of snow and could unlock these data to improve forecasts.
Veit Helm, Alireza Dehghanpour, Ronny Hänsch, Erik Loebel, Martin Horwath, and Angelika Humbert
The Cryosphere, 18, 3933–3970, https://doi.org/10.5194/tc-18-3933-2024, https://doi.org/10.5194/tc-18-3933-2024, 2024
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We present a new approach (AWI-ICENet1), based on a deep convolutional neural network, for analysing satellite radar altimeter measurements to accurately determine the surface height of ice sheets. Surface height estimates obtained with AWI-ICENet1 (along with related products, such as ice sheet height change and volume change) show improved and unbiased results compared to other products. This is important for the long-term monitoring of ice sheet mass loss and its impact on sea level rise.
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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The study of glacier sliding along slopes is relevant in many aspects of glaciology. We processed Sentinel-2 satellite optical images of Mont Blanc, obtaining surface velocities of 30 glaciers between 2016 and 2024. The study revealed different behaviours and velocity variations that have relationships with glacier morphology. A velocity anomaly was observed in some glaciers of the southern side in 2020–2022, but its origin needs to be investigated further.
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.
Randall Bonnell, Daniel McGrath, Jack Tarricone, Hans-Peter Marshall, Ella Bump, Caroline Duncan, Stephanie Kampf, Yunling Lou, Alex Olsen-Mikitowicz, Megan Sears, Keith Williams, Lucas Zeller, and Yang Zheng
The Cryosphere, 18, 3765–3785, https://doi.org/10.5194/tc-18-3765-2024, https://doi.org/10.5194/tc-18-3765-2024, 2024
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Snow provides water for billions of people, but the amount of snow is difficult to detect remotely. During the 2020 and 2021 winters, a radar was flown over mountains in Colorado, USA, to measure the amount of snow on the ground, while our team collected ground observations to test the radar technique’s capabilities. The technique yielded accurate measurements of the snowpack that had good correlation with ground measurements, making it a promising application for the upcoming NISAR satellite.
Taha Sadeghi Chorsi, Franz J. Meyer, and Timothy H. Dixon
The Cryosphere, 18, 3723–3740, https://doi.org/10.5194/tc-18-3723-2024, https://doi.org/10.5194/tc-18-3723-2024, 2024
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The active layer thaws and freezes seasonally. The annual freeze–thaw cycle of the active layer causes significant surface height changes due to the volume difference between ice and liquid water. We estimate the subsidence rate and active-layer thickness (ALT) for part of northern Alaska for summer 2017 to 2022 using interferometric synthetic aperture radar and lidar. ALT estimates range from ~20 cm to larger than 150 cm in area. Subsidence rate varies between close points (2–18 mm per month).
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.
Jordan N. Herbert, Mark S. Raleigh, and Eric E. Small
The Cryosphere, 18, 3495–3512, https://doi.org/10.5194/tc-18-3495-2024, https://doi.org/10.5194/tc-18-3495-2024, 2024
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Automated stations measure snow properties at a single point but are frequently used to validate data that represent much larger areas. We use lidar snow depth data to see how often the mean snow depth surrounding a snow station is within 10 cm of the snow station depth at different scales. We found snow stations overrepresent the area-mean snow depth in ~ 50 % of cases, but the direction of bias at a site is temporally consistent, suggesting a site could be calibrated to the surrounding area.
Andreas Stokholm, Jørgen Buus-Hinkler, Tore Wulf, Anton Korosov, Roberto Saldo, Leif Toudal Pedersen, David Arthurs, Ionut Dragan, Iacopo Modica, Juan Pedro, Annekatrien Debien, Xinwei Chen, Muhammed Patel, Fernando Jose Pena Cantu, Javier Noa Turnes, Jinman Park, Linlin Xu, Katharine Andrea Scott, David Anthony Clausi, Yuan Fang, Mingzhe Jiang, Saeid Taleghanidoozdoozan, Neil Curtis Brubacher, Armina Soleymani, Zacharie Gousseau, Michał Smaczny, Patryk Kowalski, Jacek Komorowski, David Rijlaarsdam, Jan Nicolaas van Rijn, Jens Jakobsen, Martin Samuel James Rogers, Nick Hughes, Tom Zagon, Rune Solberg, Nicolas Longépé, and Matilde Brandt Kreiner
The Cryosphere, 18, 3471–3494, https://doi.org/10.5194/tc-18-3471-2024, https://doi.org/10.5194/tc-18-3471-2024, 2024
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The AutoICE challenge encouraged the development of deep learning models to map multiple aspects of sea ice – the amount of sea ice in an area and the age and ice floe size – using multiple sources of satellite and weather data across the Canadian and Greenlandic Arctic. Professionally drawn operational sea ice charts were used as a reference. A total of 179 students and sea ice and AI specialists participated and produced maps in broad agreement with the sea ice charts.
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.
Marnie B. Bryant, Adrian A. Borsa, Claire C. Masteller, Roger J. Michaelides, Matthew R. Siegfried, Adam P. Young, and Eric J. Anderson
EGUsphere, https://doi.org/10.5194/egusphere-2024-1656, https://doi.org/10.5194/egusphere-2024-1656, 2024
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We measure shoreline change across a 7-km stretch of coastline on the Alaskan Beaufort Sea Coast between 2019–2022 using multispectral imagery from Planet and satellite altimetry from ICESat-2. We find that shoreline change rates are high and variable, and that different shoreline types show distinct patterns of change in shoreline position and topography. We discuss how the observed changes may be driven by both time-varying ocean and air conditions and spatial variations in morphology.
Isis Brangers, Hans-Peter Marshall, Gabrielle De Lannoy, Devon Dunmire, Christian Mätzler, and Hans Lievens
The Cryosphere, 18, 3177–3193, https://doi.org/10.5194/tc-18-3177-2024, https://doi.org/10.5194/tc-18-3177-2024, 2024
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To better understand the interactions between C-band radar waves and snow, a tower-based experiment was set up in the Idaho Rocky Mountains. The reflections were collected in the time domain to measure the backscatter profile from the various snowpack and ground surface layers. The results demonstrate that C-band radar is sensitive to seasonal patterns in snow accumulation but that changes in microstructure, stratigraphy and snow wetness may complicate satellite-based snow depth retrievals.
Lanqing Huang and Irena Hajnsek
The Cryosphere, 18, 3117–3140, https://doi.org/10.5194/tc-18-3117-2024, https://doi.org/10.5194/tc-18-3117-2024, 2024
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Interferometric synthetic aperture radar can measure the total freeboard of sea ice but can be biased when radar signals penetrate snow and ice. We develop a new method to retrieve the total freeboard and analyze the regional variation of total freeboard and roughness in the Weddell and Ross seas. We also investigate the statistical behavior of the total freeboard for diverse ice types. The findings enhance the understanding of Antarctic sea ice topography and its dynamics in a changing climate.
Kennedy A. Lange, Alice C. Bradley, Kyle Duncan, and Sinéad L. Farrell
EGUsphere, https://doi.org/10.5194/egusphere-2024-1885, https://doi.org/10.5194/egusphere-2024-1885, 2024
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Grounded sea ice ridges stabilize nearshore sea ice by anchoring it in the seafloor. In this study, we develop a method to identify grounded ridges in satellite data, and measure the height, depth, distance from shore, and width of a thousand ridges across the Alaskan Arctic, finding regional differences in these metrics across the coastline. This method lays the groundwork for a better understanding of nearshore ice stability, holding importance for Arctic community food security and safety.
Michael Studinger, Benjamin E. Smith, Nathan Kurtz, Alek Petty, Tyler Sutterley, and Rachel Tilling
The Cryosphere, 18, 2625–2652, https://doi.org/10.5194/tc-18-2625-2024, https://doi.org/10.5194/tc-18-2625-2024, 2024
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We use green lidar data and natural-color imagery over sea ice to quantify elevation biases potentially impacting estimates of change in ice thickness of the polar regions. We complement our analysis using a model of scattering of light in snow and ice that predicts the shape of lidar waveforms reflecting from snow and ice surfaces based on the shape of the transmitted pulse. We find that biased elevations exist in airborne and spaceborne data products from green lidars.
James Dillon, Christopher Donahue, Evan Schehrer, Karl Birkeland, and Kevin Hammonds
The Cryosphere, 18, 2557–2582, https://doi.org/10.5194/tc-18-2557-2024, https://doi.org/10.5194/tc-18-2557-2024, 2024
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Surface hoar crystals are snow grains that form when vapor deposits on a snow surface. They create a weak layer in the snowpack that can cause large avalanches to occur. Thus, determining when and where surface hoar forms is a lifesaving matter. Here, we developed a means of mapping surface hoar using remote-sensing technologies. We found that surface hoar displayed heightened texture, hence the variability of brightness. Using this, we created surface hoar maps with an accuracy upwards of 95 %.
Riley Culberg, Roger J. Michaelides, and Julie Z. Miller
The Cryosphere, 18, 2531–2555, https://doi.org/10.5194/tc-18-2531-2024, https://doi.org/10.5194/tc-18-2531-2024, 2024
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Ice slabs enhance meltwater runoff from the Greenland Ice Sheet. Therefore, it is important to understand their extent and change in extent over time. We present a new method for detecting ice slabs in satellite radar data, which we use to map ice slabs at 500 m resolution across the entire ice sheet in winter 2016–2017. Our results provide better spatial coverage and resolution than previous maps from airborne radar and lay the groundwork for long-term monitoring of ice slabs from space.
Andreas Wernecke, Dirk Notz, Stefan Kern, and Thomas Lavergne
The Cryosphere, 18, 2473–2486, https://doi.org/10.5194/tc-18-2473-2024, https://doi.org/10.5194/tc-18-2473-2024, 2024
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The total Arctic sea-ice area (SIA), which is an important climate indicator, is routinely monitored with the help of satellite measurements. Uncertainties in observations of sea-ice concentration (SIC) partly cancel out when summed up to the total SIA, but the degree to which this is happening has been unclear. Here we find that the uncertainty daily SIA estimates, based on uncertainties in SIC, are about 300 000 km2. The 2002 to 2017 September decline in SIA is approx. 105 000 ± 9000 km2 a−1.
Steven J. Pestana, C. Chris Chickadel, and Jessica D. Lundquist
The Cryosphere, 18, 2257–2276, https://doi.org/10.5194/tc-18-2257-2024, https://doi.org/10.5194/tc-18-2257-2024, 2024
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We compared infrared images taken by GOES-R satellites of an area with snow and forests against surface temperature measurements taken on the ground, from an aircraft, and by another satellite. We found that GOES-R measured warmer temperatures than the other measurements, especially in areas with more forest and when the Sun was behind the satellite. From this work, we learned that the position of the Sun and surface features such as trees that can cast shadows impact GOES-R infrared images.
Stephen E. L. Howell, David G. Babb, Jack C. Landy, Isolde A. Glissenaar, Kaitlin McNeil, Benoit Montpetit, and Mike Brady
The Cryosphere, 18, 2321–2333, https://doi.org/10.5194/tc-18-2321-2024, https://doi.org/10.5194/tc-18-2321-2024, 2024
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The CAA serves as both a source and a sink for sea ice from the Arctic Ocean, while also exporting sea ice into Baffin Bay. It is also an important region with respect to navigating the Northwest Passage. Here, we quantify sea ice transport and replenishment across and within the CAA from 2016 to 2022. We also provide the first estimates of the ice area and volume flux within the CAA from the Queen Elizabeth Islands to Parry Channel, which spans the central region of the Northwest Passage.
Karl Kortum, Suman Singha, Gunnar Spreen, Nils Hutter, Arttu Jutila, and Christian Haas
The Cryosphere, 18, 2207–2222, https://doi.org/10.5194/tc-18-2207-2024, https://doi.org/10.5194/tc-18-2207-2024, 2024
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A dataset of 20 radar satellite acquisitions and near-simultaneous helicopter-based surveys of the ice topography during the MOSAiC expedition is constructed and used to train a variety of deep learning algorithms. The results give realistic insights into the accuracy of retrieval of measured ice classes using modern deep learning models. The models able to learn from the spatial distribution of the measured sea ice classes are shown to have a clear advantage over those that cannot.
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.
Shiyi Li, Lanqing Huang, Philipp Bernhard, and Irena Hajnsek
EGUsphere, https://doi.org/10.5194/egusphere-2024-942, https://doi.org/10.5194/egusphere-2024-942, 2024
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This work presented an improved method for seasonal wet snow mapping in Karakoram. SAR and topographic data were effectively integrated for robust wet snow classification in complex mountainous terrain. Applying the method to large scale Sentinel-1 imagery, we have generated wet snow maps covering the three major water basins in Karakraom over four years (2017–2021). Critical snow variables were further derived from the maps and provided valuable insights on regional snow melting dynamics.
Jiahui Xu, Yao Tang, Linxin Dong, Shujie Wang, Bailang Yu, Jianping Wu, Zhaojun Zheng, and Yan Huang
The Cryosphere, 18, 1817–1834, https://doi.org/10.5194/tc-18-1817-2024, https://doi.org/10.5194/tc-18-1817-2024, 2024
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Understanding snow phenology (SP) and its possible feedback are important. We reveal spatiotemporal heterogeneous SP on the Tibetan Plateau (TP) and the mediating effects from meteorological, topographic, and environmental factors on it. The direct effects of meteorology on SP are much greater than the indirect effects. Topography indirectly effects SP, while vegetation directly effects SP. This study contributes to understanding past global warming and predicting future trends on the TP.
Natalya Maslennikova, Pietro Milillo, Kalyana Babu Nakshatrala, Roberto Ballarini, Aaron Stubblefield, and Luigi Dini
EGUsphere, https://doi.org/10.5194/egusphere-2024-875, https://doi.org/10.5194/egusphere-2024-875, 2024
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Analyzing remote sensing radar data over three Antarctic glaciers, we observe short-term grounding line migrations. We simulate this phenomenon using viscous and viscoelastic continuum mechanics models. We quantify the sensitivity of the grounding zone width to bedrock slope, glacier thickness, and ice flow speed. Comparisons of the models’ predictions with the observations highlight the necessity of including ice elasticity in non-Newtonian models of glacier ice.
Xinwei Chen, Muhammed Patel, Fernando J. Pena Cantu, Jinman Park, Javier Noa Turnes, Linlin Xu, K. Andrea Scott, and David A. Clausi
The Cryosphere, 18, 1621–1632, https://doi.org/10.5194/tc-18-1621-2024, https://doi.org/10.5194/tc-18-1621-2024, 2024
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This paper introduces an automated sea ice mapping pipeline utilizing a multi-task U-Net architecture. It attained the top score of 86.3 % in the AutoICE challenge. Ablation studies revealed that incorporating brightness temperature data and spatial–temporal information significantly enhanced model accuracy. Accurate sea ice mapping is vital for comprehending the Arctic environment and its global climate effects, underscoring the potential of deep learning.
Jinmei Pan, Michael Durand, Juha Lemmetyinen, Desheng Liu, and Jiancheng Shi
The Cryosphere, 18, 1561–1578, https://doi.org/10.5194/tc-18-1561-2024, https://doi.org/10.5194/tc-18-1561-2024, 2024
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We developed an algorithm to estimate snow mass using X- and dual Ku-band radar, and tested it in a ground-based experiment. The algorithm, the Bayesian-based Algorithm for SWE Estimation (BASE) using active microwaves, achieved an RMSE of 30 mm for snow water equivalent. These results demonstrate the potential of radar, a highly promising sensor, to map snow mass at high spatial resolution.
Luisa von Albedyll, Stefan Hendricks, Nils Hutter, Dmitrii Murashkin, Lars Kaleschke, Sascha Willmes, Linda Thielke, Xiangshan Tian-Kunze, Gunnar Spreen, and Christian Haas
The Cryosphere, 18, 1259–1285, https://doi.org/10.5194/tc-18-1259-2024, https://doi.org/10.5194/tc-18-1259-2024, 2024
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Leads (openings in sea ice cover) are created by sea ice dynamics. Because they are important for many processes in the Arctic winter climate, we aim to detect them with satellites. We present two new techniques to detect lead widths of a few hundred meters at high spatial resolution (700 m) and independent of clouds or sun illumination. We use the MOSAiC drift 2019–2020 in the Arctic for our case study and compare our new products to other existing lead products.
Cited articles
Aðalgeirsdóttir, G., Guðmundsson, S., Björnsson, H.,
Pálsson, F., Jóhannesson, T., Hannesdóttir, H., Sigurðsson,
S. Þ. and Berthier, E.: Modelling the 20th and 21st century evolution of Hoffellsjökull glacier, SE-Vatnajökull, Iceland, The Cryosphere, 5, 961–975, https://doi.org/10.5194/tc-5-961-2011, 2011.
Barrand, N. E., Murray, T., James, T. D., Barr, S. L., and Mills, J. P.:
Optimizing photogrammetric DEMs for glacier volume change assessment using
laser-scanning derived ground-control points, J. Glaciol., 55,
106–116, 2009.
Bauer, H. and Müller, J.: Heigh accuracy of blocks and bundle block
adjustment with additional parameters, Pres. Paper Comm. III. ISPRS 12th
Congress, Ottawa, 1972.
Berthier, E., Schiefer, E., Clarke, G. K. C., Menounos, B., and Remy, F.:
Contribution of Alaskan glaciers to sea-level rise derived from satellite
imagery, Nat. Geosci, 3, 92–95, https://doi.org/10.1038/ngeo737, 2010.
Berthier, E., Vincent, C., Magnússon, E., Gunnlaugsson, Á. Þ.,
Pitte, P., Le Meur, E., Masiokas, M., Ruiz, L., Pálsson, F., Belart, J. M.
C., and Wagnon, P.: Glacier topography and elevation changes derived from
Pléiades sub-meter stereo images, The Cryosphere, 8, 2275–2291,
https://doi.org/10.5194/tc-8-2275-2014, 2014.
Björnsson, H., Sveinbjörnsdóttir, Á. E.,
Daníelsdóttir, A. K., Snorrason, Á., Sigurðsson, B. D.,
Sveinbjörnsson, E. Viggósson, G., Sigurjónsson, J., Baldursson,
S., Þorvaldsdóttir S., and Jónsson, T.: Hnattrænar
loftslagsbreytingar og áhrif þeirra á Íslandi – Skýrsla
vísindanefndar um loftslagsbreytingar, Umhverfisráðuneytið,
The Icelandic Ministry for the Environment and Natural Resources, 118 pp.,
2008.
Björnsson, H., Pálsson, F., Guðmundsson, S., Magnússon, E.,
Aðalgeirsdóttir, G., Jóhannesson, T., Berthier, E.,
Sigurðsson, O., and Thorsteinsson, T.: Contribution of Icelandic ice caps
to sea level rise: trends and variability since the Little Ice Age, Geophys.
Res. Lett., 40, 1–5, https://doi.org/10.1002/grl.50278, 2013.
Cardellini, C., Chiodini, G., and Frondini, F.: Application of stochastic
simulation to CO2 flux from soil: mapping and quantification of gas
release, J. Geophys. Res., 108, ECV3–ECV1–13, 2003.
Clarke, G. K. C., Jarosch, A. H., Anslow, F. S., Radic, V., and Menounos, B.:
Projected deglaciation of western Canada in the twenty-first century, Nat.
Geosci., 8, 372–377, 2015.
Cogley, J. G.: Geodetic and direct mass-balance measurements: comparison and
joint analysis, A. Glaciol., 50, 96–100, 2009.
Cogley, J. G., Hock, R., Rasmussen, L. A., Arendt, A. A., Bauder, A.,
Braithwaite, R. J., Jansson, P., Kaser, G., Möller, M., Nicholson L., and
Zemp, M.: Glossary of Glacier Mass Balance and Related Terms, IHP-VII
Technical Documents in Hydrology No. 86, IACS Contribution No. 2, UNESCO-IHP,
Paris, 2011.
Cox, L. H. and March, R. S.: Comparison of geodetic and glaciological
mass-balance techniques, Gulkana Glacier, Alaska, USA, J. Glaciol., 50,
363–370, 2004.
Crochet, P. and Jóhannesson, T.: A dataset of daily temperature in
Iceland for the period 1949–2010, Jökull, 61, 1–17, 2011.
Crochet, P., Jóhannesson, T., Jónsson, T., Sigurðsson, O.,
Björnsson, H., Pálsson F., and Barstad I.: Estimating the spatial
distribution of precipitation in Iceland using a linear model of orographic
precipitation. J. Hydrometeor., 8, 1285–1306, 2007.
Deutsch, C. V. and Journel, A. G.: GSLIB. Geostatistical Software Library and
User's Guide, 2nd ed., 369 pp., Oxford, New York, Oxford University Press,
ISBN: 0 19 510015 8, 1998.
Fischer, M., Huss, M., and Hoelzle, M.: Surface elevation and mass changes of
all Swiss glaciers 1980–2010, The Cryosphere, 9, 525–540,
https://doi.org/10.5194/tc-9-525-2015, 2015.
Gardelle, J., Berthier, E., and Arnaud, Y.: Slight mass gain of Karakoram
glaciers in the early twenty-first century, Nat. Geosci., 5, 322–325,
https://doi.org/10.1038/NGEO1450, 2012.
Guðmundsson, S., Björnsson, H., Pálsson, F. and Haraldsson, H.
H.: Comparison of energy and degree-day models of summer ablation on the
Langjökull ice cap, SW-Iceland, Jökull, 59, 1–18, 2009.
Guðmundsson, S., Björnsson, H., Magnússon, E., Berthier, E.,
Pálsson, F., Guðmundsson, M. T., Hognadóttir, T., and Dall, J.:
Response of Eyjafjallajokull, Torfajokull and Tindfjallajokull ice caps in
Iceland to regional warming, deduced by remote sensing, Polar Res. Online,
30, 7282, https://doi.org/10.3402/polar.v30i0.7282, 2011.
Hannesdóttir, H., Björnsson, H., Pálsson, F.,
Aðalgeirsdóttir, G., and Guðmundsson, Sv.: Changes in the
southeast Vatnajökull ice cap, Iceland, between ∼ 1890 and 2010,
The Cryosphere, 9, 565–585, https://doi.org/10.5194/tc-9-565-2015, 2015.
Howat, I. M., Porter, C., Noh, M. J., Smith, B. E., and Jeong, S.: Brief
Communication: Sudden drainage of a subglacial lake beneath the Greenland Ice
Sheet, The Cryosphere, 9, 103–108, https://doi.org/10.5194/tc-9-103-2015, 2015.
Höhle, J. and Höhle, M.: Accuracy assessment of digital elevation
models by means of robust statistical methods, ISPRS J. Photogramm. Remote
Sens., 64, 398–406, https://doi.org/10.1016/j.isprsjprs.2009.02.003, 2009.
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.
Jacobsen, K.: Vorschläge zur Konzeption und zur Bearbeitung von
Bündelblockausgleichungen, PhD thesis, No. 102, wissenschaftliche
Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover,
Hannover, 1980.
James, T., Murray, T. Barrand, N. and Barr, S.: Extracting photogrammetric
ground control from lidar DEMs for change detection, The Photogrammetric
Record 21, 312–328, 2006.
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.
Jóhannesson, T., Sigurðsson, O., Laumann, T., and Kennett, M.:
Degree-day glacier mass-balance modelling with applications to glaciers in
Iceland, Norway and Greenland, J. Glaciol., 41, 345–358, 1995.
Jóhannesson, T., Aðalgeirsdóttir, G., Björnsson, H., Crochet,
P., Elíasson, E.B., Guðmundsson, S., Jónsdóttir, J.F.,
Ólafsson, H., Pálsson, F., Rögnvaldsson, Ó., Sigurðsson,
O., Snorrason, Á. Sveinsson, Ó. G. B., and Thorsteinsson, T.: Effect
of climate change on hydrology and hydro-resources in Iceland. Rep.
OS-2007/011. National Energy Authority, 91 pp. 2007.
Jóhannesson, T., Björnsson, H., Pálsson, F., Sigurðsson, O.,
and Þorsteinsson, Þ.: LiDAR mapping of the Snæfellsjökull
ice cap, western Iceland, Jökull, 61, 19–32, 2011.
Jóhannesson, T., Björnsson, H., Magnússon, E., Guðmundsson,
S., Pálsson, F., Sigurðsson, O., Thorsteinsson, T., and Berthier, E.:
Ice-volume changes, bias estimation of mass-balance measurements and changes
in subglacial lakes derived by lidar mapping of the surface Icelandic
glaciers, Ann. Glaciol., 54, 63–74, https://doi.org/10.3189/2013AoG63A422, 2013.
Kääb, A.: Remote Sensing of Mountain Glaciers and Permafrost Creep,
edited by: Haeberli, W. and Maisch, M., Geographisches Institut der
Universität Zürich, Zürich, 246 pp., 2005.
Kraus, K.: Photogrammetry; Vol. 1: Geometry from Images and Laser Scans,
Walter De Gruyter, Goettingen, Germany, 459 pp., 2007.
Krimmel, R. M.: Analysis of Difference Between Direct and Geodetic Mass
Balance Measurements at South Cascade Glacier, Washington, Geogr. Ann., 81,
653–658, 1999.
Kunz, M., Mills, J. P., Miller, P. E., King, M. A., Fox, A. J., and Marsh,
S.: Application of surface matching for improved measurements of historic
glacier volume change in the Antarctic Peninsula. Int. Arch. Photogramm.
Remote Sens. Spatial Inform. Sci., 39, 579–584, 2012.
Lee, S.-Y., Carle, S. F., and Fogg, G. E.: Geologic heterogeneity and a
comparison of two geostatistical models; sequential Gaussian and transition
probability-based geostatistical simulation, Adv. Water Resour., 30,
1914–1932, https://doi.org/10.1016/j.advwatres.2007.03.005, 2007.
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. F., Brandt, O., and Hagen, J. O.: Glacier
geometry and elevation changes on Svalbard (1936–90); a baseline dataset,
Ann. Glaciol., 46, 106–116, https://doi.org/10.3189/172756407782871440, 2007.
Pálsson, F., Guðmundsson, S., Björnsson, H., Berthier, E.,
Magnússon, E., Guðmundsson, S., and Haraldsson, H.: Mass and volume
changes of Langjökull ice cap, Iceland, ∼ 1890 to 2009, deduced
from old maps, satellite images and in situ mass balance measurements,
Jökull, 62, 81–96, 2012.
Papasodoro, C., Berthier, E., Royer, A., Zdanowicz, C., and Langlois, A.:
Area, elevation and mass changes of the two southernmost ice caps of the
Canadian Arctic Archipelago between 1952 and 2014, The Cryosphere, 9,
1535–1550, https://doi.org/10.5194/tc-9-1535-2015, 2015.
Rolstad, C., Haug, T., and Denby, B.: Spatially integrated geodetic glacier
mass balance and its uncertainty based on geostatistical analysis;
application to the western Svartisen ice cap, Norway, J. Glaciol., 55,
666–680, 2009.
Rusu, R. B. and Cousins, S.: 3-D is here: point Cloud Library (PCL), in:
Proceedings of the IEEE International Conference on Robotics and Automation
(ICRA), May 2011, Shangai, China, 2011.
Soruco, A., Vincent, C., Francou, B., and Gonzalez, J. F.: Glacier decline
between 1963 and 2006 in the Cordillera Real, Bolivia, Geophys. Res. Lett.,
36, L03502, https://doi.org/10.1029/2008GL036238, 2009.
Spriggs, R. M.: The calibration of Military Cartographic Cameras, Technical
Note, Intelligence 15 and Mapping R. & D. Agency, Wright-Patterson Air
Force Base, Ohio, USA, 1966.
Thibert, E., Blanc, R., Vincent, C., and Eckert, N.: Instruments and methods;
glaciological and volumetric mass-balance measurements; error analysis over
51 years for Glacier de Sarennes, French Alps, J. Glaciol., 54, 522–532,
https://doi.org/10.3189/002214308785837093, 2008.
Trüssel, B. L., Motyka, R. J., Truffer, M., and Larsen, C. F.: Rapid
thinning of lake-calving Yakutat Glacier and the collapse of the Yakutat
Icefield, southeast Alaska, USA, J. Glaciol., 59, 149–161, 2013.
Uppala, S. M., Kallberg, P. W., Simmons, A. J., Andrae, U., Da Costa
Bechtold, V., Fiorino, M., Gibson, J. K., Haseler, J., Hernandez, A., Kelly,
G. A., Li, X., Onogi, K., Saarinen, S., Sokka, N., Allan, R. P., Andersson,
E., Arpe, K., Balmaseda, M. A., Beljaars, A. C. M., Van De Berg, L., Bidlot,
J., Bormann, N., Caires, S., Chevallier, F., Dethof, A., Dragosavac, M.,
Fuentes, M., Hagemann, S., Holm, E., Hoskins, B. J., Isaksen, L., Janssen, P.
A. E. M., Jenne, R., McNally, A. P., Mahfouf, J. F., Morcrette, J. J.,
Rayner, N. A., Saunders, R. W., Simon, P., Sterl, A., Trenberth, K. E.,
Untch, A., Vasiljevic, D., Viterbo, P., and Woollen, J.: The ERA-40
re-analysis, Q. J. R. Meteorol. Soc., 131, 2961–3012, 2005.
Vaughan, D. G., Comiso, J. C., Allison, I., Carrasco, J., Kaser, G., Kwok,
R., Mote, P., Murray, T., Paul, F., Ren, J., Rignot, E., Solomina, O.,
Steffen, K., and Zhang, T.: Observations: Cryosphere, in: Climate Change
2013: The Physical Science Basis. Contribution of Working Group I to the
Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.
K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge
University Press, Cambridge, UK and New York, NY, USA, 317–382, 2013.
Wolf, P. and Dewitt, B. A.: Elements of Photogrammetry; with Applications in
GIS, McCraw Hill, Boston, MA, USA, 2000.
Zemp, M., Thibert, E., Huss, M., Stumm, D., Rolstad Denby, C., Nuth, C.,
Nussbaumer, S. U., Moholdt, G., Mercer, A., Mayer, C., Joerg, P. C., Jansson,
P., Hynek, B., Fischer, A., Escher-Vetter, H., Elvehøy, H., and Andreassen,
L. M.: Reanalysing glacier mass balance measurement series, The Cryosphere,
7, 1227–1245, https://doi.org/10.5194/tc-7-1227-2013, 2013.
Short summary
We demonstrate the opportunities given by high resolution digital elevation models (DEMs) to improve procedures for obtaining mass balance records from archives of aerial photographs. We also describe a geostatistical approach to estimate uncertainty of elevation changes derived by differencing DEMs. This method is more statistically robust than other described in the literature. Our study highlights a common tendency of overestimating this uncertainty, downgrading geodetic mass balance records.
We demonstrate the opportunities given by high resolution digital elevation models (DEMs) to...
