Articles | Volume 14, issue 11
https://doi.org/10.5194/essd-14-5111-2022
© 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/essd-14-5111-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Nov 2022
Data description paper |
| 22 Nov 2022
| 22 Nov 2022
Processing methodology for the ITS_LIVE Sentinel-1 ice velocity products
Division of Geological and Planetary Science, California Institute of Technology, Pasadena, CA 91125, USA
Alex S. Gardner
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Piyush Agram
Division of Geological and Planetary Science, California Institute of Technology, Pasadena, CA 91125, USA
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Brian Menounos, Alex Gardner, Caitlyn Florentine, and Andrew Fountain
The Cryosphere, 18, 889–894, https://doi.org/10.5194/tc-18-889-2024, https://doi.org/10.5194/tc-18-889-2024, 2024
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Glaciers in western North American outside of Alaska are often overlooked in global studies because their potential to contribute to changes in sea level is small. Nonetheless, these glaciers represent important sources of freshwater, especially during times of drought. We show that these glaciers lost mass at a rate of about 12 Gt yr-1 for about the period 2013–2021; the rate of mass loss over the period 2018–2022 was similar.
Youngmin Choi, Helene Seroussi, Mathieu Morlighem, Nicole-Jeanne Schlegel, and Alex Gardner
The Cryosphere, 17, 5499–5517, https://doi.org/10.5194/tc-17-5499-2023, https://doi.org/10.5194/tc-17-5499-2023, 2023
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Ice sheet models are often initialized using snapshot observations of present-day conditions, but this approach has limitations in capturing the transient evolution of the system. To more accurately represent the accelerating changes in glaciers, we employed time-dependent data assimilation. We found that models calibrated with the transient data better capture past trends and more accurately reproduce changes after the calibration period, even with limited observations.
Fernando S. Paolo, Alex S. Gardner, Chad A. Greene, Johan Nilsson, Michael P. Schodlok, Nicole-Jeanne Schlegel, and Helen A. Fricker
The Cryosphere, 17, 3409–3433, https://doi.org/10.5194/tc-17-3409-2023, https://doi.org/10.5194/tc-17-3409-2023, 2023
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We report on a slowdown in the rate of thinning and melting of West Antarctic ice shelves. We present a comprehensive assessment of the Antarctic ice shelves, where we analyze at a continental scale the changes in thickness, flow, and basal melt over the past 26 years. We also present a novel method to estimate ice shelf change from satellite altimetry and a time-dependent data set of ice shelf thickness and basal melt rates at an unprecedented resolution.
Alex S. Gardner, Nicole-Jeanne Schlegel, and Eric Larour
Geosci. Model Dev., 16, 2277–2302, https://doi.org/10.5194/gmd-16-2277-2023, https://doi.org/10.5194/gmd-16-2277-2023, 2023
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This is the first description of the open-source Glacier Energy and Mass Balance (GEMB) model. GEMB models the ice sheet and glacier surface–atmospheric energy and mass exchange, as well as the firn state. The model is evaluated against the current state of the art and in situ observations and is shown to perform well.
Inès N. Otosaka, Andrew Shepherd, Erik R. Ivins, Nicole-Jeanne Schlegel, Charles Amory, Michiel R. van den Broeke, Martin Horwath, Ian Joughin, Michalea D. King, Gerhard Krinner, Sophie Nowicki, Anthony J. Payne, Eric Rignot, Ted Scambos, Karen M. Simon, Benjamin E. Smith, Louise S. Sørensen, Isabella Velicogna, Pippa L. Whitehouse, Geruo A, Cécile Agosta, Andreas P. Ahlstrøm, Alejandro Blazquez, William Colgan, Marcus E. Engdahl, Xavier Fettweis, Rene Forsberg, Hubert Gallée, Alex Gardner, Lin Gilbert, Noel Gourmelen, Andreas Groh, Brian C. Gunter, Christopher Harig, Veit Helm, Shfaqat Abbas Khan, Christoph Kittel, Hannes Konrad, Peter L. Langen, Benoit S. Lecavalier, Chia-Chun Liang, Bryant D. Loomis, Malcolm McMillan, Daniele Melini, Sebastian H. Mernild, Ruth Mottram, Jeremie Mouginot, Johan Nilsson, Brice Noël, Mark E. Pattle, William R. Peltier, Nadege Pie, Mònica Roca, Ingo Sasgen, Himanshu V. Save, Ki-Weon Seo, Bernd Scheuchl, Ernst J. O. Schrama, Ludwig Schröder, Sebastian B. Simonsen, Thomas Slater, Giorgio Spada, Tyler C. Sutterley, Bramha Dutt Vishwakarma, Jan Melchior van Wessem, David Wiese, Wouter van der Wal, and Bert Wouters
Earth Syst. Sci. Data, 15, 1597–1616, https://doi.org/10.5194/essd-15-1597-2023, https://doi.org/10.5194/essd-15-1597-2023, 2023
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By measuring changes in the volume, gravitational attraction, and ice flow of Greenland and Antarctica from space, we can monitor their mass gain and loss over time. Here, we present a new record of the Earth’s polar ice sheet mass balance produced by aggregating 50 satellite-based estimates of ice sheet mass change. This new assessment shows that the ice sheets have lost (7.5 x 1012) t of ice between 1992 and 2020, contributing 21 mm to sea level rise.
Sophie Goliber, Taryn Black, Ginny Catania, James M. Lea, Helene Olsen, Daniel Cheng, Suzanne Bevan, Anders Bjørk, Charlie Bunce, Stephen Brough, J. Rachel Carr, Tom Cowton, Alex Gardner, Dominik Fahrner, Emily Hill, Ian Joughin, Niels J. Korsgaard, Adrian Luckman, Twila Moon, Tavi Murray, Andrew Sole, Michael Wood, and Enze Zhang
The Cryosphere, 16, 3215–3233, https://doi.org/10.5194/tc-16-3215-2022, https://doi.org/10.5194/tc-16-3215-2022, 2022
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Terminus traces have been used to understand how Greenland's glaciers have changed over time; however, manual digitization is time-intensive, and a lack of coordination leads to duplication of efforts. We have compiled a dataset of over 39 000 terminus traces for 278 glaciers for scientific and machine learning applications. We also provide an overview of an updated version of the Google Earth Engine Digitization Tool (GEEDiT), which has been developed specifically for the Greenland Ice Sheet.
Johan Nilsson, Alex S. Gardner, and Fernando S. Paolo
Earth Syst. Sci. Data, 14, 3573–3598, https://doi.org/10.5194/essd-14-3573-2022, https://doi.org/10.5194/essd-14-3573-2022, 2022
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The longest observational record available to study the mass balance of the Earth’s ice sheets comes from satellite altimeters. This record consists of multiple satellite missions with different measurements and quality, and it must be cross-calibrated and integrated into a consistent record for scientific use. Here, we present a novel approach for generating such a record providing a seamless record of elevation change for the Antarctic Ice Sheet that spans the period 1985 to 2020.
Chloe A. Whicker, Mark G. Flanner, Cheng Dang, Charles S. Zender, Joseph M. Cook, and Alex S. Gardner
The Cryosphere, 16, 1197–1220, https://doi.org/10.5194/tc-16-1197-2022, https://doi.org/10.5194/tc-16-1197-2022, 2022
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Snow and ice surfaces are important to the global climate. Current climate models use measurements to determine the reflectivity of ice. This model uses physical properties to determine the reflectivity of snow, ice, and darkly pigmented impurities that reside within the snow and ice. Therefore, the modeled reflectivity is more accurate for snow/ice columns under varying climate conditions. This model paves the way for improvements in the portrayal of snow and ice within global climate models.
Chad A. Greene, Alex S. Gardner, and Lauren C. Andrews
The Cryosphere, 14, 4365–4378, https://doi.org/10.5194/tc-14-4365-2020, https://doi.org/10.5194/tc-14-4365-2020, 2020
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Seasonal variability is a fundamental characteristic of any Earth surface system, but we do not fully understand which of the world's glaciers speed up and slow down on an annual cycle. Such short-timescale accelerations may offer clues about how individual glaciers will respond to longer-term changes in climate, but understanding any behavior requires an ability to observe it. We describe how to use satellite image feature tracking to determine the magnitude and timing of seasonal ice dynamics.
Zachary Fair, Mark Flanner, Kelly M. Brunt, Helen Amanda Fricker, and Alex Gardner
The Cryosphere, 14, 4253–4263, https://doi.org/10.5194/tc-14-4253-2020, https://doi.org/10.5194/tc-14-4253-2020, 2020
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Ice on glaciers and ice sheets may melt and pond on ice surfaces in summer months. Detection and observation of these meltwater ponds is important for understanding glaciers and ice sheets, and satellite imagery has been used in previous work. However, image-based methods struggle with deep water, so we used data from the Ice, Clouds, and land Elevation Satellite-2 (ICESat-2) and the Airborne Topographic Mapper (ATM) to demonstrate the potential for lidar depth monitoring.
Alex S. Gardner, Geir Moholdt, Ted Scambos, Mark Fahnstock, Stefan Ligtenberg, Michiel van den Broeke, and Johan Nilsson
The Cryosphere, 12, 521–547, https://doi.org/10.5194/tc-12-521-2018, https://doi.org/10.5194/tc-12-521-2018, 2018
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We map present-day Antarctic surface velocities from Landsat imagery and compare to earlier estimates from radar. Flow accelerations across the grounding lines of West Antarctica's Amundsen Sea Embayment, Getz Ice Shelf and the western Antarctic Peninsula, account for 89 % of the observed increase in ice discharge. In contrast, glaciers draining the East Antarctic have been remarkably stable. Our work suggests that patterns of mass loss are part of a longer-term phase of enhanced flow.
Joseph M. Cook, Andrew J. Hodson, Alex S. Gardner, Mark Flanner, Andrew J. Tedstone, Christopher Williamson, Tristram D. L. Irvine-Fynn, Johan Nilsson, Robert Bryant, and Martyn Tranter
The Cryosphere, 11, 2611–2632, https://doi.org/10.5194/tc-11-2611-2017, https://doi.org/10.5194/tc-11-2611-2017, 2017
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Biological growth darkens snow and ice, causing it to melt faster. This is often referred to as
bioalbedo. Quantifying bioalbedo has not been achieved because of difficulties in isolating the biological contribution from the optical properties of ice and snow, and from inorganic impurities in field studies. In this paper, we provide a physical model that enables bioalbedo to be quantified from first principles and we use it to guide future field studies.
Johan Nilsson, Alex Gardner, Louise Sandberg Sørensen, and Rene Forsberg
The Cryosphere, 10, 2953–2969, https://doi.org/10.5194/tc-10-2953-2016, https://doi.org/10.5194/tc-10-2953-2016, 2016
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In this study we present a new processing methodology for retrieving surface elevations and elevation changes over glaciated terrain from CryoSat-2 data. The new methodology has been shown to be less sensitive to changes in near-surface dielectric properties and provides improved elevation and elevation change retrievals. This methodology has been applied to the Greenland Ice Sheet to provide an updated volume change estimate for the period of 2011 to 2015.
Related subject area
Domain: ESSD – Ice | Subject: Glaciology
A high-resolution calving front data product for marine-terminating glaciers in Svalbard
Spatial and temporal variability of environmental proxies from the top 120 m of two ice cores in Dronning Maud Land (East Antarctica)
Spatial and temporal stable water isotope data from the upper snowpack at the EastGRIP camp site, NE Greenland sampled in summer 2018
Inventory of glaciers and perennial snowfields of the conterminous USA
A comprehensive and version-controlled database of glacial lake outburst floods in High Mountain Asia
High temporal resolution records of the velocity of Hansbreen, a tidewater glacier in Svalbard
Unlocking archival maps of the Hornsund fjord area for monitoring glaciers of the Sørkapp Land peninsula, Svalbard
Antarctic Ice Sheet paleo-constraint database
Ice-core data used for the construction of the Greenland Ice-Core Chronology 2005 and 2021 (GICC05 and GICC21)
Antarctic Bedmap data: Findable, Accessible, Interoperable, and Reusable (FAIR) sharing of 60 years of ice bed, surface, and thickness data
A new inventory of High Mountain Asia surging glaciers derived from multiple elevation datasets since the 1970s
Ice core chemistry database: an Antarctic compilation of sodium and sulfate records spanning the past 2000 years
Mass balance of the Greenland and Antarctic ice sheets from 1992 to 2020
Interdecadal glacier inventories in the Karakoram since the 1990s
Landsat- and Sentinel-derived glacial lake dataset in the China–Pakistan Economic Corridor from 1990 to 2020
Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture radar imagery
Multitemporal glacier inventory revealing four decades of glacier changes in the Ladakh region
A new global dataset of mountain glacier centerlines and lengths
2000 years of annual ice core data from Law Dome, East Antarctica
A 41-year (1979–2019) passive-microwave-derived lake ice phenology data record of the Northern Hemisphere
Rescue and homogenization of 140 years of glacier mass balance data in Switzerland
Tian Li, Konrad Heidler, Lichao Mou, Ádám Ignéczi, Xiao Xiang Zhu, and Jonathan L. Bamber
Earth Syst. Sci. Data, 16, 919–939, https://doi.org/10.5194/essd-16-919-2024, https://doi.org/10.5194/essd-16-919-2024, 2024
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Our study uses deep learning to produce a new high-resolution calving front dataset for 149 marine-terminating glaciers in Svalbard from 1985 to 2023, containing 124 919 terminus traces. This dataset offers insights into understanding calving mechanisms and can help improve glacier frontal ablation estimates as a component of the integrated mass balance assessment.
Sarah Wauthy, Jean-Louis Tison, Mana Inoue, Saïda El Amri, Sainan Sun, François Fripiat, Philippe Claeys, and Frank Pattyn
Earth Syst. Sci. Data, 16, 35–58, https://doi.org/10.5194/essd-16-35-2024, https://doi.org/10.5194/essd-16-35-2024, 2024
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The datasets presented are the density, water isotopes, ions, and conductivity measurements, as well as age models and surface mass balance (SMB) from the top 120 m of two ice cores drilled on adjacent ice rises in Dronning Maud Land, dating from the late 18th century. They offer many development possibilities for the interpretation of paleo-profiles and for addressing the mechanisms behind the spatial and temporal variability of SMB and proxies observed at the regional scale in East Antarctica.
Alexandra M. Zuhr, Sonja Wahl, Hans Christian Steen-Larsen, Maria Hörhold, Hanno Meyer, Vasileios Gkinis, and Thomas Laepple
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-136, https://doi.org/10.5194/essd-2023-136, 2023
Revised manuscript accepted for ESSD
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We present stable water isotope data from the accumulation zone of the Greenland ice sheet. A spatial sampling scheme covering 39 m and three depth layers was carried out between 14 May and 3 August 2018. The data suggest spatial and temporal variability related to meteorological conditions, such as wind-driven snow redistribution and vapour-snow exchange processes. The data can be used to study the formation of the stable water isotopes signal, which is seen as a climate proxy.
Andrew G. Fountain, Bryce Glenn, and Christopher Mcneil
Earth Syst. Sci. Data, 15, 4077–4104, https://doi.org/10.5194/essd-15-4077-2023, https://doi.org/10.5194/essd-15-4077-2023, 2023
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Glaciers are rapidly shrinking globally. To identify past change and provide a baseline for future change, we inventoried the extent of glaciers and perennial snowfields across the western USA excluding Alaska. Using mostly aerial imagery, we digitized the outlines of all glaciers and perennial snowfields equal to or larger than 0.01 km2 using a geographical information system. We identified 1331 (366.52 km2) glaciers and 1176 (31.00 km2) snowfields.
Finu Shrestha, Jakob F. Steiner, Reeju Shrestha, Yathartha Dhungel, Sharad P. Joshi, Sam Inglis, Arshad Ashraf, Sher Wali, Khwaja M. Walizada, and Taigang Zhang
Earth Syst. Sci. Data, 15, 3941–3961, https://doi.org/10.5194/essd-15-3941-2023, https://doi.org/10.5194/essd-15-3941-2023, 2023
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A new inventory of glacial lake outburst floods (GLOFs) in High Mountain Asia found 697 events, causing 906 deaths, 3 times more than previously reported. This study provides insights into the contributing factors behind GLOFs on a regional scale and highlights the need for interdisciplinary approaches, including scientific communities and local knowledge, to understand GLOF risks in Asia. This study allows integration with other datasets, enabling future local and regional risk assessments.
Małgorzata Błaszczyk, Bartłomiej Luks, Michał Pętlicki, Dariusz Puczko, Dariusz Ignatiuk, Michał Laska, Jacek Jania, and Piotr Głowacki
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-299, https://doi.org/10.5194/essd-2023-299, 2023
Revised manuscript accepted for ESSD
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Understanding the glacier response to accelerated climate warming in the Arctic requires data obtained in the field. Here, we present a dataset of velocity measurements of Hansbreen, a tidewater glacier in Svalbard. The glacier's velocity was measured with GPS at 16 stakes mounted on the glacier's surface. The measurements were conducted from about one week to about one month. The dataset offers unique material for validating numerical models of glacier dynamics and satellite–derived products.
Justyna Dudek and Michał Pętlicki
Earth Syst. Sci. Data, 15, 3869–3889, https://doi.org/10.5194/essd-15-3869-2023, https://doi.org/10.5194/essd-15-3869-2023, 2023
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In our research, we evaluate the potential of archival maps of Hornsund fjord area, southern Spitsbergen, published by the Polish Academy of Sciences for studying glacier changes. Our analysis concerning glaciers in the north-western part of the Sørkapp Land peninsula revealed that, in the period 1961–2010, a maximum lowering of their surface was about 100 m for the largest land-terminating glaciers and over 120 m for glaciers terminating in the ocean (above the line marking their 1984 extents).
Benoit S. Lecavalier, Lev Tarasov, Greg Balco, Perry Spector, Claus-Dieter Hillenbrand, Christo Buizert, Catherine Ritz, Marion Leduc-Leballeur, Robert Mulvaney, Pippa L. Whitehouse, Michael J. Bentley, and Jonathan Bamber
Earth Syst. Sci. Data, 15, 3573–3596, https://doi.org/10.5194/essd-15-3573-2023, https://doi.org/10.5194/essd-15-3573-2023, 2023
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The Antarctic Ice Sheet Evolution constraint database version 2 (AntICE2) consists of a large variety of observations that constrain the evolution of the Antarctic Ice Sheet over the last glacial cycle. This includes observations of past ice sheet extent, past ice thickness, past relative sea level, borehole temperature profiles, and present-day bedrock displacement rates. The database is intended to improve our understanding of past Antarctic changes and for ice sheet model calibrations.
Sune Olander Rasmussen, Dorthe Dahl-Jensen, Hubertus Fischer, Katrin Fuhrer, Steffen Bo Hansen, Margareta Hansson, Christine S. Hvidberg, Ulf Jonsell, Sepp Kipfstuhl, Urs Ruth, Jakob Schwander, Marie-Louise Siggaard-Andersen, Giulia Sinnl, Jørgen Peder Steffensen, Anders M. Svensson, and Bo M. Vinther
Earth Syst. Sci. Data, 15, 3351–3364, https://doi.org/10.5194/essd-15-3351-2023, https://doi.org/10.5194/essd-15-3351-2023, 2023
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Timescales are essential for interpreting palaeoclimate data. The data series presented here were used for annual-layer identification when constructing the timescales named the Greenland Ice-Core Chronology 2005 (GICC05) and the revised version GICC21. Hopefully, these high-resolution data sets will be useful also for other purposes.
Alice C. Frémand, Peter Fretwell, Julien A. Bodart, Hamish D. Pritchard, Alan Aitken, Jonathan L. Bamber, Robin Bell, Cesidio Bianchi, Robert G. Bingham, Donald D. Blankenship, Gino Casassa, Ginny Catania, Knut Christianson, Howard Conway, Hugh F. J. Corr, Xiangbin Cui, Detlef Damaske, Volkmar Damm, Reinhard Drews, Graeme Eagles, Olaf Eisen, Hannes Eisermann, Fausto Ferraccioli, Elena Field, René Forsberg, Steven Franke, Shuji Fujita, Yonggyu Gim, Vikram Goel, Siva Prasad Gogineni, Jamin Greenbaum, Benjamin Hills, Richard C. A. Hindmarsh, Andrew O. Hoffman, Per Holmlund, Nicholas Holschuh, John W. Holt, Annika N. Horlings, Angelika Humbert, Robert W. Jacobel, Daniela Jansen, Adrian Jenkins, Wilfried Jokat, Tom Jordan, Edward King, Jack Kohler, William Krabill, Mette Kusk Gillespie, Kirsty Langley, Joohan Lee, German Leitchenkov, Carlton Leuschen, Bruce Luyendyk, Joseph MacGregor, Emma MacKie, Kenichi Matsuoka, Mathieu Morlighem, Jérémie Mouginot, Frank O. Nitsche, Yoshifumi Nogi, Ole A. Nost, John Paden, Frank Pattyn, Sergey V. Popov, Eric Rignot, David M. Rippin, Andrés Rivera, Jason Roberts, Neil Ross, Anotonia Ruppel, Dustin M. Schroeder, Martin J. Siegert, Andrew M. Smith, Daniel Steinhage, Michael Studinger, Bo Sun, Ignazio Tabacco, Kirsty Tinto, Stefano Urbini, David Vaughan, Brian C. Welch, Douglas S. Wilson, Duncan A. Young, and Achille Zirizzotti
Earth Syst. Sci. Data, 15, 2695–2710, https://doi.org/10.5194/essd-15-2695-2023, https://doi.org/10.5194/essd-15-2695-2023, 2023
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This paper presents the release of over 60 years of ice thickness, bed elevation, and surface elevation data acquired over Antarctica by the international community. These data are a crucial component of the Antarctic Bedmap initiative which aims to produce a new map and datasets of Antarctic ice thickness and bed topography for the international glaciology and geophysical community.
Lei Guo, Jia Li, Amaury Dehecq, Zhiwei Li, Xin Li, and Jianjun Zhu
Earth Syst. Sci. Data, 15, 2841–2861, https://doi.org/10.5194/essd-15-2841-2023, https://doi.org/10.5194/essd-15-2841-2023, 2023
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We established a new inventory of surging glaciers across High Mountain Asia based on glacier elevation changes and morphological changes during 1970s–2020. A total of 890 surging and 336 probably or possibly surging glaciers were identified. Compared to the most recent inventory, this one incorporates 253 previously unidentified surging glaciers. Our results demonstrate a more widespread surge behavior in HMA and find that surging glaciers are prone to have steeper slopes than non-surging ones.
Elizabeth R. Thomas, Diana O. Vladimirova, Dieter R. Tetzner, B. Daniel Emanuelsson, Nathan Chellman, Daniel A. Dixon, Hugues Goosse, Mackenzie M. Grieman, Amy C. F. King, Michael Sigl, Danielle G. Udy, Tessa R. Vance, Dominic A. Winski, V. Holly L. Winton, Nancy A. N. Bertler, Akira Hori, Chavarukonam M. Laluraj, Joseph R. McConnell, Yuko Motizuki, Kazuya Takahashi, Hideaki Motoyama, Yoichi Nakai, Franciéle Schwanck, Jefferson Cardia Simões, Filipe Gaudie Ley Lindau, Mirko Severi, Rita Traversi, Sarah Wauthy, Cunde Xiao, Jiao Yang, Ellen Mosely-Thompson, Tamara V. Khodzher, Ludmila P. Golobokova, and Alexey A. Ekaykin
Earth Syst. Sci. Data, 15, 2517–2532, https://doi.org/10.5194/essd-15-2517-2023, https://doi.org/10.5194/essd-15-2517-2023, 2023
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The concentration of sodium and sulfate measured in Antarctic ice cores is related to changes in both sea ice and winds. Here we have compiled a database of sodium and sulfate records from 105 ice core sites in Antarctica. The records span all, or part, of the past 2000 years. The records will improve our understanding of how winds and sea ice have changed in the past and how they have influenced the climate of Antarctica over the past 2000 years.
Inès N. Otosaka, Andrew Shepherd, Erik R. Ivins, Nicole-Jeanne Schlegel, Charles Amory, Michiel R. van den Broeke, Martin Horwath, Ian Joughin, Michalea D. King, Gerhard Krinner, Sophie Nowicki, Anthony J. Payne, Eric Rignot, Ted Scambos, Karen M. Simon, Benjamin E. Smith, Louise S. Sørensen, Isabella Velicogna, Pippa L. Whitehouse, Geruo A, Cécile Agosta, Andreas P. Ahlstrøm, Alejandro Blazquez, William Colgan, Marcus E. Engdahl, Xavier Fettweis, Rene Forsberg, Hubert Gallée, Alex Gardner, Lin Gilbert, Noel Gourmelen, Andreas Groh, Brian C. Gunter, Christopher Harig, Veit Helm, Shfaqat Abbas Khan, Christoph Kittel, Hannes Konrad, Peter L. Langen, Benoit S. Lecavalier, Chia-Chun Liang, Bryant D. Loomis, Malcolm McMillan, Daniele Melini, Sebastian H. Mernild, Ruth Mottram, Jeremie Mouginot, Johan Nilsson, Brice Noël, Mark E. Pattle, William R. Peltier, Nadege Pie, Mònica Roca, Ingo Sasgen, Himanshu V. Save, Ki-Weon Seo, Bernd Scheuchl, Ernst J. O. Schrama, Ludwig Schröder, Sebastian B. Simonsen, Thomas Slater, Giorgio Spada, Tyler C. Sutterley, Bramha Dutt Vishwakarma, Jan Melchior van Wessem, David Wiese, Wouter van der Wal, and Bert Wouters
Earth Syst. Sci. Data, 15, 1597–1616, https://doi.org/10.5194/essd-15-1597-2023, https://doi.org/10.5194/essd-15-1597-2023, 2023
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By measuring changes in the volume, gravitational attraction, and ice flow of Greenland and Antarctica from space, we can monitor their mass gain and loss over time. Here, we present a new record of the Earth’s polar ice sheet mass balance produced by aggregating 50 satellite-based estimates of ice sheet mass change. This new assessment shows that the ice sheets have lost (7.5 x 1012) t of ice between 1992 and 2020, contributing 21 mm to sea level rise.
Fuming Xie, Shiyin Liu, Yongpeng Gao, Yu Zhu, Tobias Bolch, Andreas Kääb, Shimei Duan, Wenfei Miao, Jianfang Kang, Yaonan Zhang, Xiran Pan, Caixia Qin, Kunpeng Wu, Miaomiao Qi, Xianhe Zhang, Ying Yi, Fengze Han, Xiaojun Yao, Qiao Liu, Xin Wang, Zongli Jiang, Donghui Shangguan, Yong Zhang, Richard Grünwald, Muhammad Adnan, Jyoti Karki, and Muhammad Saifullah
Earth Syst. Sci. Data, 15, 847–867, https://doi.org/10.5194/essd-15-847-2023, https://doi.org/10.5194/essd-15-847-2023, 2023
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In this study, first we generated inventories which allowed us to systematically detect glacier change patterns in the Karakoram range. We found that, by the 2020s, there were approximately 10 500 glaciers in the Karakoram mountains covering an area of 22 510.73 km2, of which ~ 10.2 % is covered by debris. During the past 30 years (from 1990 to 2020), the total glacier cover area in Karakoram remained relatively stable, with a slight increase in area of 23.5 km2.
Muchu Lesi, Yong Nie, Dan Hirsh Shugar, Jida Wang, Qian Deng, Huayong Chen, and Jianrong Fan
Earth Syst. Sci. Data, 14, 5489–5512, https://doi.org/10.5194/essd-14-5489-2022, https://doi.org/10.5194/essd-14-5489-2022, 2022
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The China–Pakistan Economic Corridor plays a vital role in foreign trade and faces threats from water shortage and water-related hazards. An up-to-date glacial lake dataset with critical parameters is basic for water resource and flood risk research, which is absent from the corridor. This study created a glacial lake dataset in 2020 from Landsat and Sentinel images from 1990–2000, using a threshold-based mapping method. Our dataset has the potential to be widely applied.
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.
Mohd Soheb, Alagappan Ramanathan, Anshuman Bhardwaj, Millie Coleman, Brice R. Rea, Matteo Spagnolo, Shaktiman Singh, and Lydia Sam
Earth Syst. Sci. Data, 14, 4171–4185, https://doi.org/10.5194/essd-14-4171-2022, https://doi.org/10.5194/essd-14-4171-2022, 2022
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This study provides a multi-temporal inventory of glaciers in the Ladakh region. The study records data on 2257 glaciers (>0.5 km2) covering an area of ~7923 ± 106 km2 which is equivalent to ~89 % of the total glacierised area of the Ladakh region. It will benefit both the scientific community and the administration of the Union Territory of Ladakh, in developing efficient mitigation and adaptation strategies by improving the projections of change on timescales relevant to policymakers.
Dahong Zhang, Gang Zhou, Wen Li, Shiqiang Zhang, Xiaojun Yao, and Shimei Wei
Earth Syst. Sci. Data, 14, 3889–3913, https://doi.org/10.5194/essd-14-3889-2022, https://doi.org/10.5194/essd-14-3889-2022, 2022
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The length of a glacier is a key determinant of its geometry; glacier centerlines are crucial inputs for many glaciological applications. Based on the European allocation theory, we present a new global dataset that includes the centerlines and lengths of 198 137 mountain glaciers. The accuracy of the glacier centerlines was 89.68 %. The constructed dataset comprises 17 sub-datasets which contain the centerlines and lengths of glacier tributaries.
Lenneke M. Jong, Christopher T. Plummer, Jason L. Roberts, Andrew D. Moy, Mark A. J. Curran, Tessa R. Vance, Joel B. Pedro, Chelsea A. Long, Meredith Nation, Paul A. Mayewski, and Tas D. van Ommen
Earth Syst. Sci. Data, 14, 3313–3328, https://doi.org/10.5194/essd-14-3313-2022, https://doi.org/10.5194/essd-14-3313-2022, 2022
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Ice core records from Law Dome in East Antarctica, collected over the the last 3 decades, provide high-resolution data for studies of the climate of Antarctica, Australia and the Southern and Indo-Pacific oceans. Here, we present a set of annually dated records from Law Dome covering the last 2000 years. This dataset provides an update and extensions both forward and back in time of previously published subsets of the data, bringing them together into a coherent set with improved dating.
Yu Cai, Claude R. Duguay, and Chang-Qing Ke
Earth Syst. Sci. Data, 14, 3329–3347, https://doi.org/10.5194/essd-14-3329-2022, https://doi.org/10.5194/essd-14-3329-2022, 2022
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Seasonal ice cover is one of the important attributes of lakes in middle- and high-latitude regions. This study used passive microwave brightness temperature measurements to extract the ice phenology for 56 lakes across the Northern Hemisphere from 1979 to 2019. A threshold algorithm was applied according to the differences in brightness temperature between lake ice and open water. The dataset will provide valuable information about the changing ice cover of lakes over the last 4 decades.
Lea Geibel, Matthias Huss, Claudia Kurzböck, Elias Hodel, Andreas Bauder, and Daniel Farinotti
Earth Syst. Sci. Data, 14, 3293–3312, https://doi.org/10.5194/essd-14-3293-2022, https://doi.org/10.5194/essd-14-3293-2022, 2022
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Glacier monitoring in Switzerland started in the 19th century, providing exceptional data series documenting snow accumulation and ice melt. Raw point observations of surface mass balance have, however, never been systematically compiled so far, including complete metadata. Here, we present an extensive dataset with more than 60 000 point observations of surface mass balance covering 60 Swiss glaciers and almost 140 years, promoting a better understanding of the drivers of recent glacier change.
Cited articles
Andersen, J. K., Kusk, A., Boncori, J. P. M., Hvidberg, C. S., and Grinsted, A.:
Improved ice velocity measurements with Sentinel-1 TOPS
interferometry, Remote Sensing, 12, 2014, https://doi.org/10.3390/rs12122014, 2020.
Bamber, J. L. and Rivera, A.: A review of remote sensing methods for glacier
mass balance determination, Global Planet. Change, 59,
138–148, 2007.
Bechor, N. B. and Zebker, H. A.: Measuring two-dimensional movements using a
single InSAR pair, Geophys. Res. Lett., 33, L16311, https://doi.org/10.1029/2006GL026883, 2006.
Bindschadler, R. A. and Scambos, T. A.: Satellite-image-derived velocity field
of an Antarctic ice stream, Science, 252, 242–246, 1991.
Boncori, J. P. M., Langer Andersen, M., Dall, J., Kusk, A., Kamstra, M.,
Bech Andersen, S., Bechor, N., Bevan, S., Bignami, C., Gourmelen, N., and
Joughin, I.: Intercomparison and validation of SAR-based ice velocity
measurement techniques within the Greenland Ice Sheet CCI project, Remote
Sensing, 10, 929, https://doi.org/10.3390/rs10060929, 2018.
Dehecq, A., Gourmelen, N., and Trouvé, E.: Deriving large-scale glacier
velocities from a complete satellite archive: Application to the
Pamir–Karakoram–Himalaya, Remote Sens. Environ., 162, 55–66,
2015.
de Lange, R., Luckman, A., and Murray, T.: Improvement of satellite radar
feature tracking for ice velocity derivation by spatial frequency
filtering, IEEE T. Geosci. Remote, 45,
2309–2318, 2007.
Derkacheva, A., Mouginot, J., Millan, R., Maier, N., and Gillet-Chaulet, F.:
Data Reduction Using Statistical and Regression Approaches for Ice Velocity
Derived by Landsat-8, Sentinel-1 and Sentinel-2, Remote Sensing, 12,
1935, https://doi.org/10.3390/rs12121935, 2020.
De Zan, F. and Guarnieri, A. M.: TOPSAR: Terrain observation by progressive
scans, IEEE T. Geosci. Remote, 44,
2352–2360, 2006.
Fahnestock, M., Bindschadler, R., Kwok, R., and Jezek, K.: Greenland ice
sheet surface properties and ice dynamics from ERS-1 SAR
imagery, Science, 262, 1530–1534, 1993.
Fahnestock, M., Scambos, T., Moon, T., Gardner, A., Haran, T., and Klinger,
M.: Rapid large-area mapping of ice flow using Landsat 8, Remote Sens.
Environ., 185, 84–94, 2016.
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,
2019.
Favier, L., Durand, G., Cornford, S. L., Gudmundsson, G. H., Gagliardini, O.,
Gillet-Chaulet, F., Zwinger, T., Payne, A. J., and Le Brocq, A. M.: Retreat of
Pine Island Glacier controlled by marine ice-sheet instability, Nat.
Clim. Change, 4, 117–121, 2014.
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.
Frolich, R. M. and Doake, C. S. M.: Synthetic aperture radar interferometry
over Rutford Ice Stream and Carlson Inlet, Antarctica, J.
Glaciol., 44, 77–92, 1998.
Gardner, A. S., Moholdt, G., Scambos, T., Fahnstock, M., Ligtenberg, S., van den Broeke, M., and Nilsson, J.: Increased West Antarctic and unchanged East Antarctic ice discharge over the last 7 years, The Cryosphere, 12, 521–547, https://doi.org/10.5194/tc-12-521-2018, 2018.
Gardner, A. S., Fahnestock, M. A., and Scambos, T. A.: ITS_LIVE Regional Glacier and Ice Sheet Surface Velocities,
National Snow and Ice Data Center [data set], https://doi.org/10.5067/6II6VW8LLWJ7, 2019.
Gardner, A. S., Lei, Y., and Agram, P.: autoRIFT (autonomous Repeat Image Feature Tracking) (1.4.0), Zenodo [code], https://doi.org/10.5281/zenodo.5643820, 2021.
Gisinger, C., Schubert, A., Breit, H., Garthwaite, M., Balss, U., Willberg,
M., Small, D., Eineder, M., and Miranda, N.: In-depth verification of
Sentinel-1 and TerraSAR-X geolocation accuracy using the Australian corner
reflector array, IEEE T. Geosci. Remote, 59,
1154–1181, 2020.
Goldstein, R. M., Engelhardt, H., Kamb, B., and Frolich, R. M.: Satellite radar
interferometry for monitoring ice sheet motion: application to an Antarctic
ice stream, Science, 262, 1525–1530, 1993.
Gourmelen, N., Kim, S. W., Shepherd, A., Park, J. W., Sundal, A. V.,
Björnsson, H., and Pálsson, F.: Ice velocity determined using
conventional and multiple-aperture InSAR, Earth Planet. Sc.
Lett., 307, 156–160, 2011.
Gray, A. L., Mattar, K. E., Vachon, P. W., Bindschadler, R., Jezek, K. C.,
Forster, R., and Crawford, J. P.: InSAR results from the RADARSAT Antarctic
Mapping Mission data: estimation of glacier motion using a simple
registration procedure, in: IGARSS'98. Sensing and Managing the Environment,
1998 IEEE International Geoscience and Remote Sensing, Symposium
Proceedings, Cat. No. 98CH36174, Vol. 3, 1638–1640, IEEE July, 1998.
Gray, A. L., Mattar, K. E., and Sofko, G.: Influence of ionospheric electron
density fluctuations on satellite radar interferometry, Geophys. Res.
Lett., 27, 1451–1454, 2000.
Greene, C. A., Gardner, A. S., and Andrews, L. C.: Detecting seasonal ice dynamics in satellite images, The Cryosphere, 14, 4365–4378, https://doi.org/10.5194/tc-14-4365-2020, 2020.
Howat, I. M., Negrete, A., and Smith, B. E.: The Greenland Ice Mapping Project (GIMP) land classification and surface elevation data sets, The Cryosphere, 8, 1509–1518, https://doi.org/10.5194/tc-8-1509-2014, 2014.
Howat, I., Negrete, A., and Smith, B.: MEaSUREs Greenland Ice Mapping Project
(GIMP) Digital Elevation Model, Version 1; NASA National Snow and Ice Data
Center Distributed Active Archive Center, Boulder, CO, USA [data set], https://doi.org/10.5067/NV34YUIXLP9W, 2015.
IPCC AR6: Sixth Assessment Report, https://www.ipcc.ch/assessment-report/ar6/, last access: 22 October 2021.
Jiao, Y., Morton, Y. T., Taylor, S., and Pelgrum, W.: Characterization of
high-latitude ionospheric scintillation of GPS signals, Radio
Sci., 48, 698–708, 2013.
Joughin, I.: Ice-sheet velocity mapping: a combined interferometric and
speckle-tracking approach, Ann. Glaciol., 34, 195–201, 2002.
Joughin, I.: MEaSUREs Greenland Annual Ice Sheet Velocity Mosaics from SAR
and Landsat, Version 2, NASA National Snow and Ice
Data Center Distributed Active Archive Center, Boulder, Colorado USA [data set], https://doi.org/10.5067/TZZDYD94IMJB, 2020a.
Joughin, I.: MEaSUREs Greenland Monthly Ice Sheet Velocity Mosaics from SAR
and Landsat, Version 2, NASA National Snow and Ice
Data Center Distributed Active Archive Center, Boulder, Colorado USA [data set], https://doi.org/10.5067/11MJZGPBK3ZF, 2020b.
Joughin, I. R., Winebrenner, D. P., and Fahnestock, M. A.: Observations of
ice-sheet motion in Greenland using satellite radar
interferometry, Geophys. Res. Lett., 22, 571–574, 1995.
Joughin, I. R., Kwok, R., and Fahnestock, M. A.: Interferometric estimation of
three-dimensional ice-flow using ascending and descending passes, IEEE
T. Geosci. Remote, 36, 25–37, 1998.
Joughin, I., Gray, L., Bindschadler, R., Price, S., Morse, D., Hulbe, C.,
Mattar, K., and Werner, C.: Tributaries of West Antarctic ice streams
revealed by RADARSAT interferometry, Science, 286, 283–286, 1999.
Joughin, I., Smith, B. E., Howat, I. M., Scambos, T., and Moon, T.: Greenland
flow variability from ice-sheet-wide velocity mapping, J.
Glaciol., 56, 415–430, 2010.
Joughin, I., Smith, B. E., Shean, D. E., and Floricioiu, D.: Brief Communication: Further summer speedup of Jakobshavn Isbræ, The Cryosphere, 8, 209–214, https://doi.org/10.5194/tc-8-209-2014, 2014.
Joughin, I., Smith, B., Howat, I., and Scambos, T.: MEaSUREs Greenland Ice
Sheet Velocity Map from InSAR Data, Version 2,
NASA National Snow and Ice Data Center Distributed
Active Archive Center, Boulder, Colorado USA [data set], https://doi.org/10.5067/OC7B04ZM9G6Q, 2015.
Joughin, I., Smith, B., Howat, I., and Scambos, T.: MEaSUREs Multi-year
Greenland Ice Sheet Velocity Mosaic, Version 1; NASA National Snow and Ice
Data Center Distributed Active Archive Center, Boulder, CO, USA [data set], https://doi.org/10.5067/QUA5Q9SVMSJG, 2016.
Joughin, I. A. N., Smith, B. E., and Howat, I. M.: A complete map of Greenland
ice velocity derived from satellite data collected over 20 years, J.
Glaciol., 64, 1–11, https://doi.org/10.1017/jog.2017.73, 2017.
Joughin, I., Smith, B. E., and Howat, I.: Greenland Ice Mapping Project: ice flow velocity variation at sub-monthly to decadal timescales, The Cryosphere, 12, 2211–2227, https://doi.org/10.5194/tc-12-2211-2018, 2018.
Kääb, A., Winsvold, S. H., Altena, B., Nuth, C., Nagler, T., and
Wuite, J.: Glacier remote sensing using Sentinel-2. Part I: Radiometric and
geometric performance, and application to ice velocity, Remote
Sensing, 8, 598, https://doi.org/10.3390/rs8070598, 2016.
Kusk, A., Boncori, J. P. M., and Dall, J.: An automated system for ice velocity
measurement from SAR, in: EUSAR 2018; 12th European Conference on Synthetic
Aperture Radar, VDE, June, 1–4, 2018.
Lei, Y., Gardner, A., and Agram, P.: Autonomous Repeat Image Feature Tracking
(autoRIFT) and Its Application for Tracking Ice Displacement, Remote Sens.
13, 749, https://doi.org/10.3390/rs13040749, 2021a.
Lei, Y., Gardner, A., and Agram, P.: MEaSUREs ITS_LIVE
Sentinel-1 Image-Pair Glacier and Ice Sheet Surface Velocities: Version 2
(Greenland sample products), Zenodo [data set], https://doi.org/10.5281/zenodo.5606118, 2021b.
Lei, Y., Gardner, A. S., Kennedy, J., Fahnestock, M., Agram, P., Liukis, M., Greene, C., Johnston, A., Lopez, L., and Scambos, T.: MEaSUREs ITS_LIVE Sentinel-1 Image-Pair Glacier and Ice Sheet Surface Velocities, Version 2, National Snow and Ice Data Center [data set], https://doi.org/10.5067/0506KQLS6512, 2022.
Lemos, A., Shepherd, A., McMillan, M., Hogg, A. E., Hatton, E., and Joughin, I.: Ice velocity of Jakobshavn Isbræ, Petermann Glacier, Nioghalvfjerdsfjorden, and Zachariæ Isstrøm, 2015–2017, from Sentinel 1-a/b SAR imagery, The Cryosphere, 12, 2087–2097, https://doi.org/10.5194/tc-12-2087-2018, 2018.
Liang, C., Agram, P., Simons, M., and Fielding, E. J.: Ionospheric correction
of InSAR time series analysis of C-band Sentinel-1 TOPS data, IEEE
T. Geosci. Remote, 57, 6755–6773, 2019.
Liao, H., Meyer, F. J., Scheuchl, B., Mouginot, J., Joughin, I., and Rignot,
E.: Ionospheric correction of InSAR data for accurate ice velocity
measurement at polar regions, Remote Sens. Environ., 209,
166–180, 2018.
Meyer, F., Bamler, R., Jakowski, N., and Fritz, T.: The potential of
low-frequency SAR systems for mapping ionospheric TEC distributions, IEEE
Geosci. Remote S., 3, 560–564, 2006.
Michel, R. and Rignot, E.: Flow of Glaciar Moreno, Argentina, from
repeat-pass Shuttle Imaging Radar images: comparison of the phase
correlation method with radar interferometry, J.
Glaciol., 45, 93–100, 1999.
Miles, K. E., Willis, I. C., Benedek, C. L., Williamson, A. G., and Tedesco, M.:
Toward monitoring surface and subsurface lakes on the Greenland ice sheet
using Sentinel-1 SAR and Landsat-8 OLI imagery, Front. Earth
Sci., 5, 58, https://doi.org/10.3389/feart.2017.00058, 2017.
Millan, R., Mouginot, J., Rabatel, A., Jeong, S., Cusicanqui, D.,
Derkacheva, A., and Chekki, M.: Mapping surface flow velocity of glaciers at
regional scale using a multiple sensors approach, Remote Sensing, 11,
2498, https://doi.org/10.3390/rs11212498, 2019.
Minchew, B. M., Simons, M., Riel, B., and Milillo, P.: Tidally induced
variations in vertical and horizontal motion on Rutford Ice Stream, West
Antarctica, inferred from remotely sensed observations, J.
Geophys. Res.-Earth, 122, 167–190, 2017.
Minowa, M., Schaefer, M., Sugiyama, S., Sakakibara, D., and Skvarca, P.:
Frontal ablation and mass loss of the Patagonian icefields, Earth
Planet. Sc. Lett., 561, 116811, https://doi.org/10.1016/j.epsl.2021.116811, 2021.
Miranda, N., Meadows, P., Piantanida, R., Recchia, A., Small, D., Schubert,
A., Vincent, P., Geudtner, D., Navas-Traver, I., and Vega, F. C.: The
Sentinel-1 constellation mission performance, in: 2017 IEEE International
Geoscience and Remote Sensing Symposium (IGARSS), IEEE.
July, 5541–5544, 2017.
Mouginot, J., Scheuchl, B., and Rignot, E.: Mapping of ice motion in
Antarctica using synthetic-aperture radar data, Remote Sensing, 4,
2753–2767, 2012.
Mouginot, J., Rignot, E., Scheuchl, B., and Millan, R.: Comprehensive annual
ice sheet velocity mapping using Landsat-8, Sentinel-1, and RADARSAT-2
data, Remote Sensing, 9, 364, https://doi.org/10.3390/rs9040364, 2017a.
Mouginot, J., Scheuchl, B., and Rignot, E.: MEaSUREs Annual Antarctic Ice Velocity Maps, Version 1, NASA
National Snow and Ice Data Center Distributed Active Archive Center, Boulder, Colorado USA [data set],
https://doi.org/10.5067/9T4EPQXTJYW9, 2017b.
Mouginot, J., Rignot, E., and Scheuchl, B.: Continent-wide, interferometric
SAR phase, mapping of Antarctic ice velocity, Geophys. Res.
Lett., 46, 9710–9718, 2019a.
Mouginot, J., Rignot, E., Scheuchl, B., Wood, M., and Millan, R.: Annual Ice
Velocity of the Greenland Ice Sheet (2010–2017), Dryad [data set], https://doi.org/10.7280/D11H3X, 2019b.
Nagler, T., Rott, H., Hetzenecker, M., Scharrer, K., Magnússon, E.,
Floricioiu, D., and Notarnicola, C.: Retrieval of 3D-glacier movement by high
resolution X-band SAR data, in: 2012 IEEE International Geoscience and Remote
Sensing Symposium, IEEE, July, 3233–3236, 2012.
Nagler, T., Rott, H., Hetzenecker, M., Wuite, J., and Potin, P.: The
Sentinel-1 mission: New opportunities for ice sheet observations, Remote
Sensing, 7, 9371–9389, 2015.
Nagy, T. and Andreassen, L. M.: Glacier surface velocity mapping with
Sentinel-2 imagery in Norway, Rapport, engelsknr 37, 2019.
Nilsson, J., Gardner, A. S., and Paolo, F. S.: Elevation change of the Antarctic Ice Sheet: 1985 to 2020, Earth Syst. Sci. Data, 14, 3573–3598, https://doi.org/10.5194/essd-14-3573-2022, 2022.
Prats-Iraola, P., Nannini, M., Scheiber, R., De Zan, F., Wollstadt, S.,
Minati, F., Vecchioli, F., Costantini, M., Borgstrom, S., De Martino, P., and
Siniscalchi, V.: Sentinel-1 assessment of the interferometric wide-swath
mode, in: 2015 IEEE international geoscience and remote sensing symposium
(IGARSS), IEEE, July, 5247–5251, 2015.
RETREAT: Ice surface velocities derived from Sentinel-1, Version 1, FAU [data set],
http://retreat.geographie.uni-erlangen.de, (last access:
1 March 2022), 2021.
Rial, J. A., Tang, C., and Steffen, K.: Glacial rumblings from Jakobshavn ice
stream, Greenland, J. Glaciol., 55, 389–399, 2009.
Rignot, E. and Mouginot, J.: Ice flow in Greenland for the international
polar year 2008–2009, Geophys. Res. Lett., 39, L11501, https://doi.org/10.1029/2012GL051634, 2012.
Rignot, E., Jezek, K. C., and Sohn, H. G.: Ice flow dynamics of the Greenland
ice sheet from SAR interferometry, Geophys. Res. Lett., 22,
575–578, 1995.
Rignot, E., Bamber, J. L., Van Den Broeke, M. R., Davis, C., Li, Y., Van De
Berg, W. J., and Van Meijgaard, E.: Recent Antarctic ice mass loss from radar
interferometry and regional climate modelling, Nat. Geosci., 1,
106–110, 2008.
Rignot, E., Mouginot, J., Larsen, C. F., Gim, Y., and Kirchner, D.:
Low-frequency radar sounding of temperate ice masses in Southern
Alaska, Geophys. Res. Lett., 40, 5399–5405, 2013.
Rignot, E., Mouginot, J., and Scheuchl, B.: MEaSUREs InSAR-Based Antarctica
Ice Velocity Map, Version 2, NASA National Snow and
Ice Data Center Distributed Active Archive Center, Boulder, Colorado USA [data set], https://doi.org/10.5067/D7GK8F5J8M8R, 2017.
Riveros, N., Euillades, L., Euillades, P., Moreiras, S., and Balbarani, S.: Offset tracking procedure applied to high resolution SAR data on Viedma Glacier, Patagonian Andes, Argentina, Adv. Geosci., 35, 7–13, https://doi.org/10.5194/adgeo-35-7-2013, 2013.
Sánchez-Gámez, P. and Navarro, F. J.: Glacier surface velocity
retrieval using D-InSAR and offset tracking techniques applied to ascending
and descending passes of Sentinel-1 data for southern Ellesmere ice caps,
Canadian Arctic, Remote Sensing, 9, 442, https://doi.org/10.3390/rs9050442, 2017.
Sauber, J., Molnia, B., Carabajal, C., Luthcke, S., and Muskett, R.: Ice
elevations and surface change on the Malaspina Glacier, Alaska, Geophys.
Res. Lett., 32, L23S01, https://doi.org/10.1029/2005GL023943, 2005.
Schubert, A., Miranda, N., Geudtner, D., and Small, D.: Sentinel-1A/B
combined product geolocation accuracy, Remote sensing, 9, 607, https://doi.org/10.3390/rs9060607, 2017.
Solgaard, A. M. and Kusk, A.: Greenland Ice Velocity from Sentinel-1 Edition 2, V11,
GEUS Dataverse [data set], https://doi.org/10.22008/FK2/ZEGVXU, 2021.
Solgaard, A., Kusk, A., Merryman Boncori, J. P., Dall, J., Mankoff, K. D., Ahlstrøm, A. P., Andersen, S. B., Citterio, M., Karlsson, N. B., Kjeldsen, K. K., Korsgaard, N. J., Larsen, S. H., and Fausto, R. S.: Greenland ice velocity maps from the PROMICE project, Earth Syst. Sci. Data, 13, 3491–3512, https://doi.org/10.5194/essd-13-3491-2021, 2021.
Stein, A. N., Huertas, A., and Matthies, L.: Attenuating stereo pixel-locking
via affine window adaptation, in: Proceedings 2006 IEEE International
Conference on Robotics and Automation, 2006, ICRA 2006, IEEE,
May, 914–921, https://doi.org/10.1109/ROBOT.2006.1641826, 2006.
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, 2002.
Strozzi, T., Kouraev, A., Wiesmann, A., Wegmüller, U., Sharov, A., and
Werner, C.: Estimation of Arctic glacier motion with satellite L-band SAR
data, Remote Sens. Environ., 112, 636–645, 2008.
Thomas, R., Frederick, E., Li, J., Krabill, W., Manizade, S., Paden, J.,
Sonntag, J., Swift, R., and Yungel, J.: Accelerating ice loss from the
fastest Greenland and Antarctic glaciers, Geophys. Res.
Lett., 38, L10502, https://doi.org/10.1029/2011GL047304, 2011.
Yu, J., Liu, H., Jezek, K. C., Warner, R. C., and Wen, J.: Analysis of velocity
field, mass balance, and basal melt of the Lambert Glacier–Amery Ice Shelf
system by incorporating Radarsat SAR interferometry and ICESat laser
altimetry measurements, J. Geophys. Res.-Sol.
Ea., 115, B11102, https://doi.org/10.1029/2010JB007456, 2010.
Zhang, Y., Fattahi, H., Pi, X., Rosen, P., Simons, M., Agram, P., and Aoki,
Y.: Range Geolocation Accuracy of C/L-band SAR and its Implications for
Operational Stack Coregistration, IEEE T. Geosci. Remote, 60, 5227219, https://doi.org/10.1109/TGRS.2022.3168509,
2022.
Short summary
This work describes NASA MEaSUREs ITS_LIVE project's Version 2 Sentinel-1 image-pair ice velocity product and processing methodology. We show the refined offset tracking algorithm, autoRIFT, calibration for Sentinel-1 geolocation biases and correction of the ionosphere streaking problems. Validation was performed over three typical test sites covering the globe by comparing with other similar global and regional products.
This work describes NASA MEaSUREs ITS_LIVE project's Version 2 Sentinel-1 image-pair ice...
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