Articles | Volume 20, issue 2
https://doi.org/10.5194/tc-20-1179-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-1179-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Feb 2026
Research article |
| 16 Feb 2026
| 16 Feb 2026
InSAR sensitivity to active layer ground ice content in Adventdalen, Svalbard
Lotte Wendt
CORRESPONDING AUTHOR
Department of Geosciences, University of Oslo, P.O. Box 1047 Blindern, 0316, Oslo, Norway
NORCE Norwegian Research Centre AS, Siva Innovasjonssenter, P.O. Box 6434, 9294, Tromsø, Norway
Arctic Geophysics Department, The University Centre in Svalbard (UNIS), P.O. Box 156, 9171, Longyearbyen, Norway
Line Rouyet
NORCE Norwegian Research Centre AS, Siva Innovasjonssenter, P.O. Box 6434, 9294, Tromsø, Norway
Hanne H. Christiansen
Arctic Geophysics Department, The University Centre in Svalbard (UNIS), P.O. Box 156, 9171, Longyearbyen, Norway
Tom Rune Lauknes
NORCE Norwegian Research Centre AS, Siva Innovasjonssenter, P.O. Box 6434, 9294, Tromsø, Norway
Sebastian Westermann
Department of Geosciences, University of Oslo, P.O. Box 1047 Blindern, 0316, Oslo, Norway
Centre for Biogeochemistry in the Anthropocene, University of Oslo, Oslo, Norway
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Earth Syst. Sci. Data, 18, 6357–6409, https://doi.org/10.5194/essd-18-6357-2026, https://doi.org/10.5194/essd-18-6357-2026, 2026
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This dataset includes monthly measurements of carbon dioxide and methane exchange between land, water, and the atmosphere from over 1000 sites in Arctic and boreal regions. It combines measurements from a variety of ecosystems, including wetlands, forests, tundra, lakes, and rivers, gathered by over 260 researchers from 1984–2024. This dataset can be used to improve and reduce uncertainty in carbon budgets in order to strengthen our understanding of climate feedbacks in a warming world.
Tamara Mathys, Sergey S. Marchenko, Sebastian Westermann, Luke Gregor, Léo C. P. Martin, Murataly Duishonakunov, Christian Hauck, Mohammad Farzamian, Teddi Herring, Christin Hilbich, Ruslan Kenzhebaev, Mukhammad Esenaman uulu, Timur Musaev, Zhoodarbeshim Bektursunov, Ryskul Usubaliev, Isabella Brining, Tomas Saks, and Martin Hoelzle
EGUsphere, https://doi.org/10.5194/egusphere-2026-2756, https://doi.org/10.5194/egusphere-2026-2756, 2026
This preprint is open for discussion and under review for Earth Surface Dynamics (ESurf).
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CryoGrid simulations constrained by geophysical and borehole data were used to assess permafrost thermal conditions and thaw depth in the Inner Tien Shan (Kyrgyzstan) at 30 m resolution. Surface-type-specific stratigraphies derived from geophysical surveys improved representation of subsurface heterogeneity. Results indicate widespread but spatially variable permafrost, with evidence of approximately 1 °C warming since the 1980s and increasing thaw depths.
Joana Baptista, Sebastian Westermann, and Gonçalo Vieira
EGUsphere, https://doi.org/10.5194/egusphere-2026-1914, https://doi.org/10.5194/egusphere-2026-1914, 2026
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Permafrost underlies most ice-free areas of the Antarctic Peninsula being crucial for ecosystems. Yet its response to climate warming is uncertain. Using the CryoGrid Community Model at five PERMANTAR observatories, we simulated past and future permafrost evolution. Results revealed a warming of 0.22 °C dec⁻¹ since 1950–2020 and a progressive degradation under all CMIP6 scenarios, with positive MAGTs at 20 m depth before 2100, driven by elevation, snow cover, and ocean–atmosphere interactions.
Marie Bredal, Line Rouyet, Lotte Wendt, Heidi Hindberg, Daniel Stødle, Tom Rune Lauknes, Jelte van Oostveen, Yngvar Larsen, Gökhan Aslan, Emma Hauglin, John Dehls, Anja Sundal, Anna Odh, and Dag Anders Moldestad
EGUsphere, https://doi.org/10.5194/egusphere-2026-2189, https://doi.org/10.5194/egusphere-2026-2189, 2026
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Ground movement can be measured from space by comparing satellite images taken at different times using a technique known as InSAR. The InSAR Svalbard service provides baseline information showing where and how the ground is moving, supporting geohazard management, land-use planning, and climate change adaptation, and helping assess impacts on infrastructure and human activities. While such services exist elsewhere, this is the first of its kind in the Arctic.
Esther Karin Bender, Matvey Debolskiy, Kjetil Aas, Sebastian Westermann, Fang Li, Jiawen Zhu, and Hanna Lee
EGUsphere, https://doi.org/10.5194/egusphere-2026-1039, https://doi.org/10.5194/egusphere-2026-1039, 2026
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This paper introduces a new method to represent ice-rich permafrost soils in the Community Land Model used for climate prediction. The approach includes key processes previously missing, enabling simulation of rapid thaw events from ground-ice melt. It improves representation of soil temperature, hydrology, and landscape dynamics, leading to more accurate future greenhouse-gas estimates.
Kristoffer Aalstad, Esteban Alonso-González, Norbert Pirk, Sebastian Westermann, Clarissa Willmes, and Ruitang Yang
EGUsphere, https://doi.org/10.48550/arXiv.2601.20049, https://doi.org/10.48550/arXiv.2601.20049, 2026
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AdaPBS is a new algorithm to combine observations with cryospheric numerical models. AdaPBS is an iterative algorithm that automatically adjusts computing effort to the task, allowing the implementation of early stopping strategies. We tested AdaPBS at multiple sites with different models, matching or outperforming standard methods, when compared against more complex (computationally expensive) algorithms.
Juditha Aga, Antoni G. Lewkowicz, and Sebastian Westermann
EGUsphere, https://doi.org/10.5194/egusphere-2026-916, https://doi.org/10.5194/egusphere-2026-916, 2026
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In this study, we explore the influence of a warming climate on landslides in ice-rich permafrost slopes. Using climate, terrain and soil data, we built a model that simulates permafrost thaw and its impact on slope stability. We tested the model on Banks Island, Canada, and it reproduced years with many new landslide observations and identified the most susceptible slopes. The model can also be applied to other permafrost regions, and to both past and future climate conditions.
Dotan Rotem, Yishai Weinstein, Yehudit Harlavan, Adi Torfstein, and Hanne Hvidtfeldt Christiansen
EGUsphere, https://doi.org/10.5194/egusphere-2025-6564, https://doi.org/10.5194/egusphere-2025-6564, 2026
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We investigated residence time of ground ice in Svalbard permafrost. Marked differences were found in salinity and the chemical composition of ice taken from three nearby cores. Radioactive isotopes of Ra and Th suggest that while some of the ice is almost 10,000 years old, the more saline ice has much lower ratios of long to short-lived Ra isotopes, which suggests it is much younger (<2,000 years). This should be due to within-permafrost flow, which highlights its resilience to global warming.
Anfisa Pismeniuk, Peter Dörsch, Mats Ippach, Clarissa Willmes, Sunniva Sheffield, Norbert Pirk, and Sebastian Westermann
Biogeosciences, 23, 1497–1514, https://doi.org/10.5194/bg-23-1497-2026, https://doi.org/10.5194/bg-23-1497-2026, 2026
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Thermokarst ponds in high latitudes are important methane (CH4) sources in summer. Meanwhile, these ponds are ice-covered for around 60 % of the year and can accumulate CH4 in the ice and within the underlying water column, which potentially results in high emissions during the ice-off. Here, we present data on wintertime CH4 storage of ponds located within two peat plateaus in Northern Norway. Our results show that the wintertime CH4 storage can contribute up to 40 % to the annual CH4 budget.
Robin B. Zweigel, Dashtseren Avirmed, Khurelbaatar Temuujin, Clare Webster, Hanna Lee, and Sebastian Westermann
The Cryosphere, 20, 1001–1023, https://doi.org/10.5194/tc-20-1001-2026, https://doi.org/10.5194/tc-20-1001-2026, 2026
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Two years of data along a forest disturbance gradient in Mongolia show a larger annual ground surface temperature range in dead and logged forests than intact forest, while the range is dampened in stands of young regrowth. Compared to intact forest, mean annual ground surface temperatures are 0.5 °C colder in dead and logged forest and dense stands of young regrowth. This is linked to differences in vegetation and surface cover due to the disturbance and patterns in livestock activity.
Clarissa Willmes, Kristoffer Aalstad, and Sebastian Westermann
EGUsphere, https://doi.org/10.5194/egusphere-2025-3142, https://doi.org/10.5194/egusphere-2025-3142, 2025
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In permafrost areas, the spatial variability of the snow cover significantly affects the ground thermal regime. This study presents an algorithm that integrates satellite data into a permafrost model to enhance the spatial detail of ground temperature simulations. At a site on Svalbard, the algorithm improves simulations of ground temperatures especially for wind-blown ridges with little snow, as well as snow-drift sites.
Marco Mazzolini, Kristoffer Aalstad, Esteban Alonso-González, Sebastian Westermann, and Désirée Treichler
The Cryosphere, 19, 3831–3848, https://doi.org/10.5194/tc-19-3831-2025, https://doi.org/10.5194/tc-19-3831-2025, 2025
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In this work, we showcase the use the satellite laser altimeter ICESat-2, which is able to retrieve snow depth in areas where snow amounts are still poorly estimated despite the importance of these water resources. We can update snow models with these observations through algorithms that spatially propagate the information beyond the satellite profiles. The positive results show the potential of the approach to improve snow simulations, in terms of average snow depth and spatial distribution.
Joana Pedro Baptista, Gonçalo Brito Guapo Teles Vieira, António Manuel de Carvalho Soares Correia, Hyoungseok Lee, and Sebastian Westermann
The Cryosphere, 19, 3459–3476, https://doi.org/10.5194/tc-19-3459-2025, https://doi.org/10.5194/tc-19-3459-2025, 2025
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Permafrost underlies ice-free areas of Antarctica, but its response to long-term warming is unclear due to a limited number of monitoring sites. To address this, we used the CryoGrid model, forced with climate data, to estimate permafrost temperatures and active layer thickness at King Sejong Station since 1950. The results show ground temperatures rising 0.25 °C per decade and the active layer thickening by 2 m. Warming has accelerated since 2015, highlighting the need for continued monitoring.
Line Rouyet, Tobias Bolch, Francesco Brardinoni, Rafael Caduff, Diego Cusicanqui, Margaret Darrow, Reynald Delaloye, Thomas Echelard, Christophe Lambiel, Cécile Pellet, Lucas Ruiz, Lea Schmid, Flavius Sirbu, and Tazio Strozzi
Earth Syst. Sci. Data, 17, 4125–4157, https://doi.org/10.5194/essd-17-4125-2025, https://doi.org/10.5194/essd-17-4125-2025, 2025
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Rock glaciers are landforms generated by the creep of frozen ground (permafrost) in cold-climate mountains. Mapping rock glaciers contributes to documenting the distribution and the dynamics of mountain permafrost. We compiled inventories documenting the location, the characteristics, and the extent of rock glaciers in 12 mountain regions around the world. In each region, a team of operators performed the work following common rules and agreed on final solutions when discrepancies were identified.
Jacqueline K. Knutson, François Clayer, Peter Dörsch, Sebastian Westermann, and Heleen A. de Wit
Biogeosciences, 22, 3899–3914, https://doi.org/10.5194/bg-22-3899-2025, https://doi.org/10.5194/bg-22-3899-2025, 2025
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Thawing permafrost at Iškoras in northern Norway is transforming peat plateaus into thermokarst ponds and wetlands. These small ponds show striking oversaturation of dissolved greenhouse gases, such as carbon dioxide (CO2) and methane (CH4), partly owing to organic matter processing. Streams nearby emit CO2, driven by turbulence. As permafrost disappears, carbon dynamics will change, potentially increasing emissions of CH4. This study highlights the need to integrate these changes into climate models.
Robin Benjamin Zweigel, Avirmed Dashtseren, Khurelbaatar Temuujin, Anarmaa Sharkhuu, Clare Webster, Hanna Lee, and Sebastian Westermann
Biogeosciences, 21, 5059–5077, https://doi.org/10.5194/bg-21-5059-2024, https://doi.org/10.5194/bg-21-5059-2024, 2024
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Intense grazing at grassland sites removes vegetation, reduces the snow cover, and inhibits litter layers from forming. Grazed sites generally have a larger annual ground surface temperature amplitude than ungrazed sites, but the net effect depends on effects in the transitional seasons. Our results also suggest that seasonal use of pastures can reduce ground temperatures, which can be a strategy to protect currently degrading grassland permafrost.
Sigrid Trier Kjær, Sebastian Westermann, Nora Nedkvitne, and Peter Dörsch
Biogeosciences, 21, 4723–4737, https://doi.org/10.5194/bg-21-4723-2024, https://doi.org/10.5194/bg-21-4723-2024, 2024
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Permafrost peatlands are thawing due to climate change, releasing large quantities of carbon that degrades upon thawing and is released as CO2, CH4 or dissolved organic carbon (DOC). We incubated thawed Norwegian permafrost peat plateaus and thermokarst pond sediment found next to permafrost for up to 350 d to measure carbon loss. CO2 production was initially the highest, whereas CH4 production increased over time. The largest carbon loss was measured at the top of the peat plateau core as DOC.
Juditha Aga, Livia Piermattei, Luc Girod, Kristoffer Aalstad, Trond Eiken, Andreas Kääb, and Sebastian Westermann
Earth Surf. Dynam., 12, 1049–1070, https://doi.org/10.5194/esurf-12-1049-2024, https://doi.org/10.5194/esurf-12-1049-2024, 2024
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Coastal rock cliffs on Svalbard are considered to be fairly stable; however, long-term trends in coastal-retreat rates remain unknown. This study examines changes in the coastline position along Brøggerhalvøya, Svalbard, using aerial images from 1970, 1990, 2010, and 2021. Our analysis shows that coastal-retreat rates accelerate during the period 2010–2021, which coincides with increasing storminess and retreating sea ice.
Hanne H. Christiansen, Ilkka S. O. Matero, Lisa Baddeley, Kim Holmén, Clara J. M. Hoppe, Maarten J. J. E. Loonen, Rune Storvold, Vito Vitale, Agata Zaborska, and Heikki Lihavainen
Earth Syst. Dynam., 15, 933–946, https://doi.org/10.5194/esd-15-933-2024, https://doi.org/10.5194/esd-15-933-2024, 2024
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We provide an overview of the state and future of Earth system science in Svalbard as a synthesis of the recommendations made by the scientific community active in the archipelago. This work helped identify foci for developments of the observing system and a path forward to reach the full interdisciplinarity needed to operate at Earth system science scale. Better understanding of the processes in Svalbard will benefit both process-level understanding and Earth system models.
Moritz Langer, Jan Nitzbon, Brian Groenke, Lisa-Marie Assmann, Thomas Schneider von Deimling, Simone Maria Stuenzi, and Sebastian Westermann
The Cryosphere, 18, 363–385, https://doi.org/10.5194/tc-18-363-2024, https://doi.org/10.5194/tc-18-363-2024, 2024
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Using a model that can simulate the evolution of Arctic permafrost over centuries to millennia, we find that post-industrialization permafrost warming has three "hotspots" in NE Canada, N Alaska, and W Siberia. The extent of near-surface permafrost has decreased substantially since 1850, with the largest area losses occurring in the last 50 years. The simulations also show that volcanic eruptions have in some cases counteracted the loss of near-surface permafrost for a few decades.
Bernd Etzelmüller, Ketil Isaksen, Justyna Czekirda, Sebastian Westermann, Christin Hilbich, and Christian Hauck
The Cryosphere, 17, 5477–5497, https://doi.org/10.5194/tc-17-5477-2023, https://doi.org/10.5194/tc-17-5477-2023, 2023
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Permafrost (permanently frozen ground) is widespread in the mountains of Norway and Iceland. Several boreholes were drilled after 1999 for long-term permafrost monitoring. We document a strong warming of permafrost, including the development of unfrozen bodies in the permafrost. Warming and degradation of mountain permafrost may lead to more natural hazards.
Esteban Alonso-González, Kristoffer Aalstad, Norbert Pirk, Marco Mazzolini, Désirée Treichler, Paul Leclercq, Sebastian Westermann, Juan Ignacio López-Moreno, and Simon Gascoin
Hydrol. Earth Syst. Sci., 27, 4637–4659, https://doi.org/10.5194/hess-27-4637-2023, https://doi.org/10.5194/hess-27-4637-2023, 2023
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Here we explore how to improve hyper-resolution (5 m) distributed snowpack simulations using sparse observations, which do not provide information from all the areas of the simulation domain. We propose a new way of propagating information throughout the simulations adapted to the hyper-resolution, which could also be used to improve simulations of other nature. The method has been implemented in an open-source data assimilation tool that is readily accessible to everyone.
Anatoly O. Sinitsyn, Sara Bazin, Rasmus Benestad, Bernd Etzelmüller, Ketil Isaksen, Hanne Kvitsand, Julia Lutz, Andrea L. Popp, Lena Rubensdotter, and Sebastian Westermann
EGUsphere, https://doi.org/10.5194/egusphere-2023-2950, https://doi.org/10.5194/egusphere-2023-2950, 2023
Preprint archived
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This study looked at under the ground on Svalbard, an archipelago close to the North Pole. We found something very surprising – there is water under the all year around frozen soil. This was not known before. This water could be used for drinking if we manage it carefully. This is important because getting clean drinking water is very difficult in Svalbard, and other Arctic places. Also, because the climate is getting warmer, there might be even more water underground in the future.
Léo C. P. Martin, Sebastian Westermann, Michele Magni, Fanny Brun, Joel Fiddes, Yanbin Lei, Philip Kraaijenbrink, Tamara Mathys, Moritz Langer, Simon Allen, and Walter W. Immerzeel
Hydrol. Earth Syst. Sci., 27, 4409–4436, https://doi.org/10.5194/hess-27-4409-2023, https://doi.org/10.5194/hess-27-4409-2023, 2023
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Across the Tibetan Plateau, many large lakes have been changing level during the last decades as a response to climate change. In high-mountain environments, water fluxes from the land to the lakes are linked to the ground temperature of the land and to the energy fluxes between the ground and the atmosphere, which are modified by climate change. With a numerical model, we test how these water and energy fluxes have changed over the last decades and how they influence the lake level variations.
Juditha Aga, Julia Boike, Moritz Langer, Thomas Ingeman-Nielsen, and Sebastian Westermann
The Cryosphere, 17, 4179–4206, https://doi.org/10.5194/tc-17-4179-2023, https://doi.org/10.5194/tc-17-4179-2023, 2023
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This study presents a new model scheme for simulating ice segregation and thaw consolidation in permafrost environments, depending on ground properties and climatic forcing. It is embedded in the CryoGrid community model, a land surface model for the terrestrial cryosphere. We describe the model physics and functionalities, followed by a model validation and a sensitivity study of controlling factors.
Matan Ben-Asher, Florence Magnin, Sebastian Westermann, Josué Bock, Emmanuel Malet, Johan Berthet, Ludovic Ravanel, and Philip Deline
Earth Surf. Dynam., 11, 899–915, https://doi.org/10.5194/esurf-11-899-2023, https://doi.org/10.5194/esurf-11-899-2023, 2023
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Quantitative knowledge of water availability on high mountain rock slopes is very limited. We use a numerical model and field measurements to estimate the water balance at a steep rock wall site. We show that snowmelt is the main source of water at elevations >3600 m and that snowpack hydrology and sublimation are key factors. The new information presented here can be used to improve the understanding of thermal, hydrogeological, and mechanical processes on steep mountain rock slopes.
Brian Groenke, Moritz Langer, Jan Nitzbon, Sebastian Westermann, Guillermo Gallego, and Julia Boike
The Cryosphere, 17, 3505–3533, https://doi.org/10.5194/tc-17-3505-2023, https://doi.org/10.5194/tc-17-3505-2023, 2023
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It is now well known from long-term temperature measurements that Arctic permafrost, i.e., ground that remains continuously frozen for at least 2 years, is warming in response to climate change. Temperature, however, only tells half of the story. In this study, we use computer modeling to better understand how the thawing and freezing of water in the ground affects the way permafrost responds to climate change and what temperature trends can and cannot tell us about how permafrost is changing.
Dotan Rotem, Vladimir Lyakhovsky, Hanne Hvidtfeldt Christiansen, Yehudit Harlavan, and Yishai Weinstein
The Cryosphere, 17, 3363–3381, https://doi.org/10.5194/tc-17-3363-2023, https://doi.org/10.5194/tc-17-3363-2023, 2023
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Frozen saline pore water, left over from post-glacial marine ingression, was found in shallow permafrost in a Svalbard fjord valley. This suggests that freezing occurred immediately after marine regression due to isostatic rebound. We conducted top-down freezing simulations, which confirmed that with Early to mid-Holocene temperatures (e.g. −4 °C), freezing could progress down to 20–40 m within 200 years. This, in turn, could inhibit flow through the sediment, therefore preserving saline fluids.
Louise Steffensen Schmidt, Thomas Vikhamar Schuler, Erin Emily Thomas, and Sebastian Westermann
The Cryosphere, 17, 2941–2963, https://doi.org/10.5194/tc-17-2941-2023, https://doi.org/10.5194/tc-17-2941-2023, 2023
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Here, we present high-resolution simulations of glacier mass balance (the gain and loss of ice over a year) and runoff on Svalbard from 1991–2022, one of the fastest warming regions in the Arctic. The simulations are created using the CryoGrid community model. We find a small overall loss of mass over the simulation period of −0.08 m yr−1 but with no statistically significant trend. The average runoff was found to be 41 Gt yr−1, with a significant increasing trend of 6.3 Gt per decade.
Justyna Czekirda, Bernd Etzelmüller, Sebastian Westermann, Ketil Isaksen, and Florence Magnin
The Cryosphere, 17, 2725–2754, https://doi.org/10.5194/tc-17-2725-2023, https://doi.org/10.5194/tc-17-2725-2023, 2023
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We assess spatio-temporal permafrost variations in selected rock walls in Norway over the last 120 years. Ground temperature is modelled using the two-dimensional ground heat flux model CryoGrid 2D along nine profiles. Permafrost probably occurs at most sites. All simulations show increasing ground temperature from the 1980s. Our simulations show that rock wall permafrost with a temperature of −1 °C at 20 m depth could thaw at this depth within 50 years.
Norbert Pirk, Kristoffer Aalstad, Yeliz A. Yilmaz, Astrid Vatne, Andrea L. Popp, Peter Horvath, Anders Bryn, Ane Victoria Vollsnes, Sebastian Westermann, Terje Koren Berntsen, Frode Stordal, and Lena Merete Tallaksen
Biogeosciences, 20, 2031–2047, https://doi.org/10.5194/bg-20-2031-2023, https://doi.org/10.5194/bg-20-2031-2023, 2023
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We measured the land–atmosphere exchange of CO2 and water vapor in alpine Norway over 3 years. The extremely snow-rich conditions in 2020 reduced the total annual evapotranspiration to 50 % and reduced the growing-season carbon assimilation to turn the ecosystem from a moderate annual carbon sink to an even stronger source. Our analysis suggests that snow cover anomalies are driving the most consequential short-term responses in this ecosystem’s functioning.
Sebastian Westermann, Thomas Ingeman-Nielsen, Johanna Scheer, Kristoffer Aalstad, Juditha Aga, Nitin Chaudhary, Bernd Etzelmüller, Simon Filhol, Andreas Kääb, Cas Renette, Louise Steffensen Schmidt, Thomas Vikhamar Schuler, Robin B. Zweigel, Léo Martin, Sarah Morard, Matan Ben-Asher, Michael Angelopoulos, Julia Boike, Brian Groenke, Frederieke Miesner, Jan Nitzbon, Paul Overduin, Simone M. Stuenzi, and Moritz Langer
Geosci. Model Dev., 16, 2607–2647, https://doi.org/10.5194/gmd-16-2607-2023, https://doi.org/10.5194/gmd-16-2607-2023, 2023
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The CryoGrid community model is a new tool for simulating ground temperatures and the water and ice balance in cold regions. It is a modular design, which makes it possible to test different schemes to simulate, for example, permafrost ground in an efficient way. The model contains tools to simulate frozen and unfrozen ground, snow, glaciers, and other massive ice bodies, as well as water bodies.
Cas Renette, Kristoffer Aalstad, Juditha Aga, Robin Benjamin Zweigel, Bernd Etzelmüller, Karianne Staalesen Lilleøren, Ketil Isaksen, and Sebastian Westermann
Earth Surf. Dynam., 11, 33–50, https://doi.org/10.5194/esurf-11-33-2023, https://doi.org/10.5194/esurf-11-33-2023, 2023
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One of the reasons for lower ground temperatures in coarse, blocky terrain is a low or varying soil moisture content, which most permafrost modelling studies did not take into account. We used the CryoGrid community model to successfully simulate this effect and found markedly lower temperatures in well-drained, blocky deposits compared to other set-ups. The inclusion of this drainage effect is another step towards a better model representation of blocky mountain terrain in permafrost regions.
Norbert Pirk, Kristoffer Aalstad, Sebastian Westermann, Astrid Vatne, Alouette van Hove, Lena Merete Tallaksen, Massimo Cassiani, and Gabriel Katul
Atmos. Meas. Tech., 15, 7293–7314, https://doi.org/10.5194/amt-15-7293-2022, https://doi.org/10.5194/amt-15-7293-2022, 2022
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In this study, we show how sparse and noisy drone measurements can be combined with an ensemble of turbulence-resolving wind simulations to estimate uncertainty-aware surface energy exchange. We demonstrate the feasibility of this drone data assimilation framework in a series of synthetic and real-world experiments. This new framework can, in future, be applied to estimate energy and gas exchange in heterogeneous landscapes more representatively than conventional methods.
Karianne S. Lilleøren, Bernd Etzelmüller, Line Rouyet, Trond Eiken, Gaute Slinde, and Christin Hilbich
Earth Surf. Dynam., 10, 975–996, https://doi.org/10.5194/esurf-10-975-2022, https://doi.org/10.5194/esurf-10-975-2022, 2022
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In northern Norway we have observed several rock glaciers at sea level. Rock glaciers are landforms that only form under the influence of permafrost, which is frozen ground. Our investigations show that the rock glaciers are probably not active under the current climate but most likely were active in the recent past. This shows how the Arctic now changes due to climate changes and also how similar areas in currently colder climates will change in the future.
Juri Palmtag, Jaroslav Obu, Peter Kuhry, Andreas Richter, Matthias B. Siewert, Niels Weiss, Sebastian Westermann, and Gustaf Hugelius
Earth Syst. Sci. Data, 14, 4095–4110, https://doi.org/10.5194/essd-14-4095-2022, https://doi.org/10.5194/essd-14-4095-2022, 2022
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The northern permafrost region covers 22 % of the Northern Hemisphere and holds almost twice as much carbon as the atmosphere. This paper presents data from 651 soil pedons encompassing more than 6500 samples from 16 different study areas across the northern permafrost region. We use this dataset together with ESA's global land cover dataset to estimate soil organic carbon and total nitrogen storage up to 300 cm soil depth, with estimated values of 813 Pg for carbon and 55 Pg for nitrogen.
Aldo Bertone, Chloé Barboux, Xavier Bodin, Tobias Bolch, Francesco Brardinoni, Rafael Caduff, Hanne H. Christiansen, Margaret M. Darrow, Reynald Delaloye, Bernd Etzelmüller, Ole Humlum, Christophe Lambiel, Karianne S. Lilleøren, Volkmar Mair, Gabriel Pellegrinon, Line Rouyet, Lucas Ruiz, and Tazio Strozzi
The Cryosphere, 16, 2769–2792, https://doi.org/10.5194/tc-16-2769-2022, https://doi.org/10.5194/tc-16-2769-2022, 2022
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We present the guidelines developed by the IPA Action Group and within the ESA Permafrost CCI project to include InSAR-based kinematic information in rock glacier inventories. Nine operators applied these guidelines to 11 regions worldwide; more than 3600 rock glaciers are classified according to their kinematics. We test and demonstrate the feasibility of applying common rules to produce homogeneous kinematic inventories at global scale, useful for hydrological and climate change purposes.
Noah D. Smith, Eleanor J. Burke, Kjetil Schanke Aas, Inge H. J. Althuizen, Julia Boike, Casper Tai Christiansen, Bernd Etzelmüller, Thomas Friborg, Hanna Lee, Heather Rumbold, Rachael H. Turton, Sebastian Westermann, and Sarah E. Chadburn
Geosci. Model Dev., 15, 3603–3639, https://doi.org/10.5194/gmd-15-3603-2022, https://doi.org/10.5194/gmd-15-3603-2022, 2022
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The Arctic has large areas of small mounds that are caused by ice lifting up the soil. Snow blown by wind gathers in hollows next to these mounds, insulating them in winter. The hollows tend to be wetter, and thus the soil absorbs more heat in summer. The warm wet soil in the hollows decomposes, releasing methane. We have made a model of this, and we have tested how it behaves and whether it looks like sites in Scandinavia and Siberia. Sometimes we get more methane than a model without mounds.
Sarah E. Chadburn, Eleanor J. Burke, Angela V. Gallego-Sala, Noah D. Smith, M. Syndonia Bret-Harte, Dan J. Charman, Julia Drewer, Colin W. Edgar, Eugenie S. Euskirchen, Krzysztof Fortuniak, Yao Gao, Mahdi Nakhavali, Włodzimierz Pawlak, Edward A. G. Schuur, and Sebastian Westermann
Geosci. Model Dev., 15, 1633–1657, https://doi.org/10.5194/gmd-15-1633-2022, https://doi.org/10.5194/gmd-15-1633-2022, 2022
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We present a new method to include peatlands in an Earth system model (ESM). Peatlands store huge amounts of carbon that accumulates very slowly but that can be rapidly destabilised, emitting greenhouse gases. Our model captures the dynamic nature of peat by simulating the change in surface height and physical properties of the soil as carbon is added or decomposed. Thus, we model, for the first time in an ESM, peat dynamics and its threshold behaviours that can lead to destabilisation.
Bernd Etzelmüller, Justyna Czekirda, Florence Magnin, Pierre-Allain Duvillard, Ludovic Ravanel, Emanuelle Malet, Andreas Aspaas, Lene Kristensen, Ingrid Skrede, Gudrun D. Majala, Benjamin Jacobs, Johannes Leinauer, Christian Hauck, Christin Hilbich, Martina Böhme, Reginald Hermanns, Harald Ø. Eriksen, Tom Rune Lauknes, Michael Krautblatter, and Sebastian Westermann
Earth Surf. Dynam., 10, 97–129, https://doi.org/10.5194/esurf-10-97-2022, https://doi.org/10.5194/esurf-10-97-2022, 2022
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This paper is a multi-authored study documenting the possible existence of permafrost in permanently monitored rockslides in Norway for the first time by combining a multitude of field data, including geophysical surveys in rock walls. The paper discusses the possible role of thermal regime and rockslide movement, and it evaluates the possible impact of atmospheric warming on rockslide dynamics in Norwegian mountains.
Johan H. Scheller, Mikhail Mastepanov, Hanne H. Christiansen, and Torben R. Christensen
Biogeosciences, 18, 6093–6114, https://doi.org/10.5194/bg-18-6093-2021, https://doi.org/10.5194/bg-18-6093-2021, 2021
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Our study presents a time series of methane emissions in a high-Arctic-tundra landscape over 14 summers, which shows large variations between years. The methane emissions from the valley are expected to more than double in the late 21st century. This warming increases permafrost thaw, which could increase surface erosion in the valley. Increased erosion could offset some of the rise in methane fluxes from the valley, but this would require large-scale impacts on vegetated surfaces.
Cited articles
Aalstad, K., Westermann, S., Schuler, T. V., Boike, J., and Bertino, L.: Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites, The Cryosphere, 12, 247–270, https://doi.org/10.5194/tc-12-247-2018, 2018.
Aga, J., Boike, J., Langer, M., Ingeman-Nielsen, T., and Westermann, S.: Simulating ice segregation and thaw consolidation in permafrost environments with the CryoGrid community model, The Cryosphere, 17, 4179–4206, https://doi.org/10.5194/tc-17-4179-2023, 2023.
Antonova, S., Sudhaus, H., Strozzi, T., Zwieback, S., Kääb, A., Heim, B., Langer, M., Bornemann, N., and Boike, J.: Thaw Subsidence of a Yedoma Landscape in Northern Siberia, Measured In Situ and Estimated from TerraSAR-X Interferometry, Remote Sensing, 10, 494, https://doi.org/10.3390/rs10040494, 2018.
Bai, R., Lai, Y., Pei, W., and Zhang, M.: Investigation on frost heave of saturated–unsaturated soils, Acta Geotech., 15, 3295–3306, https://doi.org/10.1007/s11440-020-00952-6, 2020.
Baran, I., Stewart, M. P., Kampes, B. M., Perski, Z., and Lilly, P.: A modification to the Goldstein radar interferogram filter, IEEE Trans. Geosci. Remote Sensing, 41, 2114–2118, https://doi.org/10.1109/TGRS.2003.817212, 2003.
Bartsch, A., Leibman, M., Strozzi, T., Khomutov, A., Widhalm, B., Babkina, E., Mullanurov, D., Ermokhina, K., Kroisleitner, C., and Bergstedt, H.: Seasonal Progression of Ground Displacement Identified with Satellite Radar Interferometry and the Impact of Unusually Warm Conditions on Permafrost at the Yamal Peninsula in 2016, Remote Sensing, 11, 1865, https://doi.org/10.3390/rs11161865, 2019.
Bartsch, A., Strozzi, T., and Nitze, I.: Permafrost Monitoring from Space, Surv. Geophys., 44, 1579–1613, https://doi.org/10.1007/s10712-023-09770-3, 2023.
Berardino, P., Fornaro, G., Lanari, R., and Sansosti, E.: A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms, IEEE Trans. Geosci. Remote Sensing, 40, 2375–2383, https://doi.org/10.1109/TGRS.2002.803792, 2002.
Biskaborn, B. K., Smith, S. L., Noetzli, J., Matthes, H., Vieira, G., Streletskiy, D. A., Schoeneich, P., Romanovsky, V. E., Lewkowicz, A. G., Abramov, A., Allard, M., Boike, J., Cable, W. L., Christiansen, H. H., Delaloye, R., Diekmann, B., Drozdov, D., Etzelmüller, B., Grosse, G., Guglielmin, M., Ingeman-Nielsen, T., Isaksen, K., Ishikawa, M., Johansson, M., Johannsson, H., Joo, A., Kaverin, D., Kholodov, A., Konstantinov, P., Kröger, T., Lambiel, C., Lanckman, J.-P., Luo, D., Malkova, G., Meiklejohn, I., Moskalenko, N., Oliva, M., Phillips, M., Ramos, M., Sannel, A. B. K., Sergeev, D., Seybold, C., Skryabin, P., Vasiliev, A., Wu, Q., Yoshikawa, K., Zheleznyak, M., and Lantuit, H.: Permafrost is warming at a global scale, Nat. Commun., 10, 264, https://doi.org/10.1038/s41467-018-08240-4, 2019.
Bockheim, J. G. and Hinkel, K. M.: Accumulation of Excess Ground Ice in an Age Sequence of Drained Thermokarst Lake Basins, Arctic Alaska, Permafrost and Periglacial Processes, 23, 231–236, https://doi.org/10.1002/ppp.1745, 2012.
Bonnaventure, P. P. and Lamoureux, S. F.: The active layer: A conceptual review of monitoring, modelling techniques and changes in a warming climate, Progress in Physical Geography: Earth and Environment, 37, 352–376, https://doi.org/10.1177/0309133313478314, 2013.
Burn, C. R., Lewkowicz, A. G., and Wilson, M. A.: Long-term field measurements of climate-induced thaw subsidence above ice wedges on hillslopes, western Arctic Canada, Permafrost and Periglacial Processes, 32, 261–276, https://doi.org/10.1002/ppp.2113, 2021.
Burn, C. R., Bartsch, A., Chakraborty, E., Das, S., Frauenfelder, R., Gärtner-Roer, I., Gisnås, K. G., Herring, T., Jones, B. M., Kokelj, S. V., Langer, M., Lathrop, E., Murton, J. B., Nielsen, D. M., Niu, F., Olson, C., O'Neill, H. B., Opfergelt, S., Overduin, P. P., Schaefer, K., Schuur, E. A. G., Skierszkan, E., Smith, S. L., Stuenzi, S. M., Tank, S. E., van der Sluijs, J., Vieira, G., Westermann, S., Wolfe, S. A., and Yarmak, E.: Developments in Permafrost Science and Engineering in Response to Climate Warming in Circumpolar and High Mountain Regions, 2019–2024, Permafrost and Periglacial Processes, https://doi.org/10.1002/ppp.2261, 2024.
Cable, S., Elberling, B., and Kroon, A.: Holocene permafrost history and cryostratigraphy in the High-Arctic Adventdalen Valley, central Svalbard, Boreas, 47, 423–442, https://doi.org/10.1111/bor.12286, 2018.
Chang, T., Yi, Y., Jiang, H., Li, R., Lu, P., Liu, L., Wang, L., Zhao, L., Zwieback, S., and Zhao, J.: Unraveling the non-linear relationship between seasonal deformation and permafrost active layer thickness, npj Clim. Atmos. Sci., 7, 1–11, https://doi.org/10.1038/s41612-024-00866-0, 2024.
Chen, C. W. and Zebker, H. A.: Phase unwrapping for large SAR interferograms: statistical segmentation and generalized network models, IEEE Trans. Geosci. Remote Sensing, 40, 1709–1719, https://doi.org/10.1109/TGRS.2002.802453, 2002.
Chen, J., Wu, Y., O'Connor, M., Cardenas, M. B., Schaefer, K., Michaelides, R., and Kling, G.: Active layer freeze-thaw and water storage dynamics in permafrost environments inferred from InSAR, Remote Sensing of Environment, 248, 112007, https://doi.org/10.1016/j.rse.2020.112007, 2020.
Cigna, F., Esquivel Ramírez, R., and Tapete, D.: Accuracy of Sentinel-1 PSI and SBAS InSAR Displacement Velocities against GNSS and Geodetic Leveling Monitoring Data, Remote Sensing, 13, 4800, https://doi.org/10.3390/rs13234800, 2021.
Daout, S., Doin, M.-P., Peltzer, G., Socquet, A., and Lasserre, C.: Large-scale InSAR monitoring of permafrost freeze-thaw cycles on the Tibetan Plateau, Geophysical Research Letters, 44, 901–909, https://doi.org/10.1002/2016GL070781, 2017.
Daout, S., Dini, B., Haeberli, W., Doin, M.-P., and Parsons, B.: Ice loss in the Northeastern Tibetan Plateau permafrost as seen by 16 yr of ESA SAR missions, Earth and Planetary Science Letters, 545, 116404, https://doi.org/10.1016/j.epsl.2020.116404, 2020.
Dirksen, C. and Miller, R. D.: Closed-System Freezing of Unsaturated Soil, Soil Science Soc. of Amer. J., 30, 168–173, https://doi.org/10.2136/sssaj1966.03615995003000020010x, 1966.
Douglas, T. A., Turetsky, M. R., and Koven, C. D.: Increased rainfall stimulates permafrost thaw across a variety of Interior Alaskan boreal ecosystems, npj Clim. Atmos. Sci., 3, 1–7, https://doi.org/10.1038/s41612-020-0130-4, 2020.
Dumais, S. and Konrad, J.-M.: Framework for thaw consolidation of fine-grained soils, Can. Geotech. J., 61, 931–944, https://doi.org/10.1139/cgj-2022-0502, 2024.
Eckerstorfer, M. and Christiansen, H. H.: The “High Arctic Maritime Snow Climate” in Central Svalbard, Arctic, Antarctic, and Alpine Research, 43, 11–21, https://doi.org/10.1657/1938-4246-43.1.11, 2011.
French, H. and Shur, Y.: The principles of cryostratigraphy, Earth-Science Reviews, 101, 190–206, https://doi.org/10.1016/j.earscirev.2010.04.002, 2010.
French, H. M.: Cold-Climate Weathering, in: The Periglacial Environment, John Wiley & Sons, Ltd, 47–82, https://doi.org/10.1002/9781118684931.ch4, 2007a.
French, H. M.: Ground Ice, in: The Periglacial Environment, John Wiley & Sons, Ltd, 153–185, https://doi.org/10.1002/9781118684931.ch7, 2007b.
Gao, B.: NDWI–A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, 58, 257–266, https://doi.org/10.1016/S0034-4257(96)00067-3, 1996.
GCOS: The 2022 GCOS implementation plan, Technical Report GCOS-244, World Meteorological Organization, Geneva, Switzerland, https://meetings.wmo.int/INFCOM-2/InformationDocuments/INFCOM-2-INF06-1(11-1)-2022-GCOS-IMPLEMENTATION-PLAN_en.pdf (last access: 12 December 2025), 2022.
Gilbert, G. L., O'Neill, H. B., Nemec, W., Thiel, C., Christiansen, H. H., and Buylaert, J.-P.: Late Quaternary sedimentation and permafrost development in a Svalbard fjord-valley, Norwegian high Arctic, Sedimentology, 65, 2531–2558, https://doi.org/10.1111/sed.12476, 2018.
Goldstein, R. M. and Werner, C. L.: Radar interferogram filtering for geophysical applications, Geophysical Research Letters, 25, 4035–4038, https://doi.org/10.1029/1998GL900033, 1998.
Gruber, S.: Ground subsidence and heave over permafrost: hourly time series reveal interannual, seasonal and shorter-term movement caused by freezing, thawing and water movement, The Cryosphere, 14, 1437–1447, https://doi.org/10.5194/tc-14-1437-2020, 2020.
Hanssen-Bauer, I., Førland, E., Hisdal, H., Mayer, S., Sandø, A., and Sorteberg, A.: Climate in Svalbard 2100 – a knowledge base for climate adaptation, Norwegian Centre for Climate Services (NCCS), https://www.miljodirektoratet.no/globalassets/publikasjoner/m1242/m1242.pdf (last access: 12 December 2025), 2019.
Harris, C., Kern-Luetschg, M., Christiansen, H. H., and Smith, F.: The Role of Interannual Climate Variability in Controlling Solifluction Processes, Endalen, Svalbard, Permafrost and Periglacial Processes, 22, 239–253, https://doi.org/10.1002/ppp.727, 2011.
Hinkel, K. M. and Nelson, F. E.: Spatial and temporal patterns of active layer thickness at Circumpolar Active Layer Monitoring (CALM) sites in northern Alaska, 1995–2000, Journal of Geophysical Research: Atmospheres, 108, https://doi.org/10.1029/2001JD000927, 2003.
Humlum, O., Instanes, A., and Sollid, J. L.: Permafrost in Svalbard: a review of research history, climatic background and engineering challenges, Polar Research, 22, 191–215, https://doi.org/10.3402/polar.v22i2.6455, 2003.
Härtel, S. and Christiansen, H. H.: Geomorphological and Cryological map of Adventdalen, Svalbard, PANGEA, https://doi.pangaea.de/10.1594/PANGAEA.833048, 2014.
Jia, Y., Kim, J.-W., Shum, C. K., Lu, Z., Ding, X., Zhang, L., Erkan, K., Kuo, C.-Y., Shang, K., Tseng, K.-H., and Yi, Y.: Characterization of Active Layer Thickening Rate over the Northern Qinghai-Tibetan Plateau Permafrost Region Using ALOS Interferometric Synthetic Aperture Radar Data, 2007–2009, Remote Sensing, 9, 84, https://doi.org/10.3390/rs9010084, 2017.
Jiang, J. and Lohman, R. B.: Coherence-guided InSAR deformation analysis in the presence of ongoing land surface changes in the Imperial Valley, California, Remote Sensing of Environment, 253, 112160, https://doi.org/10.1016/j.rse.2020.112160, 2021.
Jorgenson, M. T. and Shur, Y.: Evolution of lakes and basins in northern Alaska and discussion of the thaw lake cycle, Journal of Geophysical Research: Earth Surface, 112, https://doi.org/10.1029/2006JF000531, 2007.
Kanevskiy, M., Shur, Y., Jorgenson, M. T., Ping, C.-L., Michaelson, G. J., Fortier, D., Stephani, E., Dillon, M., and Tumskoy, V.: Ground ice in the upper permafrost of the Beaufort Sea coast of Alaska, Cold Regions Science and Technology, 85, 56–70, https://doi.org/10.1016/j.coldregions.2012.08.002, 2013.
Kokelj, S. V. and Burn, C. R.: Near-surface ground ice in sediments of the Mackenzie Delta, Northwest Territories, Canada, Permafrost and Periglacial Processes, 16, 291–303, https://doi.org/10.1002/ppp.537, 2005.
Kottek, M., Grieser, J., Beck, C., Rudolf, B., and Rubel, F.: World Map of the Köppen-Geiger climate classification updated, Metz, 15, 259–263, https://doi.org/10.1127/0941-2948/2006/0130, 2006.
Larsen, Y., Engen, G., Lauknes, T. R., Malnes, E., and Høgda, K. A.: A generic differential Interferometric SAR processing system, with applications to land subsidence and snow-water equivalent retrieval, in: Proceedings of the ESA Fringe Workshop, 28 November–2 December 2005, Frascati, Italy, ISBN 92 -9092-921-9, 2005.
Lauknes, T. R., Zebker, H. A., and Larsen, Y.: InSAR Deformation Time Series Using an L1-Norm Small-Baseline Approach, IEEE Trans. Geosci. Remote Sensing, 49, 536–546, https://doi.org/10.1109/TGRS.2010.2051951, 2011.
Lewkowicz, A. G., O'Neill, H. B., Wolfe, S. A., Roy-Léveillée, P., Roujanski V. E., Hoeve, E., Gruber, S., Brooks, H., Rudy, A. C. A., Koenig, C. E. M., Brown, N., and Bonnaventure, P. P.: Glossary of Permafrost Science and Engineering, Canadian Permafrost Association, https://doi.org/10.3138/cpa-gpse, 2025.
Li, Y., Zuo, X., Xiong, P., You, H., Zhang, H., Yang, F., Zhao, Y., Yang, Y., and Liu, Y.: Deformation monitoring and analysis of Kunyang phosphate mine fusion with InSAR and GPS measurements, Advances in Space Research, 69, 2637–2658, https://doi.org/10.1016/j.asr.2021.12.051, 2022.
Liu, L. and Larson, K. M.: Decadal changes of surface elevation over permafrost area estimated using reflected GPS signals, The Cryosphere, 12, 477–489, https://doi.org/10.5194/tc-12-477-2018, 2018.
Liu, L., Schaefer, K., Zhang, T., and Wahr, J.: Estimating 1992–2000 average active layer thickness on the Alaskan North Slope from remotely sensed surface subsidence, Journal of Geophysical Research: Earth Surface, 117, https://doi.org/10.1029/2011JF002041, 2012.
Liu, L., Schaefer, K., Gusmeroli, A., Grosse, G., Jones, B. M., Zhang, T., Parsekian, A. D., and Zebker, H. A.: Seasonal thaw settlement at drained thermokarst lake basins, Arctic Alaska, The Cryosphere, 8, 815–826, https://doi.org/10.5194/tc-8-815-2014, 2014.
Li, Y., Zuo, X., Xiong, P., You, H., Zhang, H., Yang, F., Zhao, Y., Yang, Y., and Liu, Y.: Deformation monitoring and analysis of Kunyang phosphate mine fusion with InSAR and GPS measurements, Advances in Space Research, 69, 2637–2658, https://doi.org/10.1016/j.asr.2021.12.051, 2022.
Mackay, J. R.: Downward water movement into frozen ground, western arctic coast, Canada, Can. J. Earth Sci., 20, 120–134, https://doi.org/10.1139/e83-012, 1983.
Magnússon, R. Í., Hamm, A., Karsanaev, S. V., Limpens, J., Kleijn, D., Frampton, A., Maximov, T. C., and Heijmans, M. M. P. D.: Extremely wet summer events enhance permafrost thaw for multiple years in Siberian tundra, Nat. Commun., 13, 1556, https://doi.org/10.1038/s41467-022-29248-x, 2022.
Morgenstern, N. R. and Nixon, J. F.: One-dimensional Consolidation of Thawing Soils, Can. Geotech. J., 8, 558–565, https://doi.org/10.1139/t71-057, 1971.
Morse, P. D., Burn, C. R., and Kokelj, S. V.: Near-surface ground-ice distribution, Kendall Island Bird Sanctuary, western Arctic coast, Canada, Permafrost and Periglacial Processes, 20, 155–171, https://doi.org/10.1002/ppp.650, 2009.
Norwegian Meteorological Institute: Permafrost real-time monitoring, https://cryo.met.no/en/permafrost (last access: 26 February 2024), 2024a.
Norwegian Meteorological Institute: Observations and weather statistics – Adventdalen station, https://seklima.met.no/ (last access: 28 February 2024), 2024b.
Norwegian Polar Institute: Kartdata Svalbard 1:100 000 (S100 Kartdata), Norwegian Polar Institute [data set], https://doi.org/10.21334/npolar.2014.645336c7, 2014a.
Norwegian Polar Institute: Terrengmodell Svalbard (S0 Terrengmodell), Norwegian Polar Institute [data set], https://doi.org/10.21334/npolar.2014.dce53a47, 2014b.
Obu, J.: How Much of the Earth's Surface is Underlain by Permafrost?, Journal of Geophysical Research: Earth Surface, 126, e2021JF006123, https://doi.org/10.1029/2021JF006123, 2021.
O'Neill, H. B., Smith, S. L., Burn, C. R., Duchesne, C., and Zhang, Y.: Widespread Permafrost Degradation and Thaw Subsidence in Northwest Canada, Journal of Geophysical Research: Earth Surface, 128, e2023JF007262, https://doi.org/10.1029/2023JF007262, 2023.
O'Neill, H. B., Gilbert, G. L., and Christiansen, H. H.: Site-scale variation in ground-ice content and physical properties of loess in permafrost, Svalbard, High Arctic, https://doi.org/10.4095/pfmq507fg6, 2025.
Paquette, M., Lafrenière, M. J., and Lamoureux, S. F.: Landscape influence on permafrost ground ice geochemistry in a polar desert environment, Resolute Bay, Nunavut, Arctic Science, 9, 465–482, https://doi.org/10.1139/as-2021-0049, 2023.
Peng, S., Peng, X., Frauenfeld, O. W., Yang, G., Tian, W., Tian, J., and Ma, J.: Using InSAR for Surface Deformation Monitoring and Active Layer Thickness Retrieval in the Heihe River Basin on the Northeast Qinghai-Tibet Plateau, Journal of Geophysical Research: Earth Surface, 128, e2022JF006782, https://doi.org/10.1029/2022JF006782, 2023.
Rempel, A. W.: Formation of ice lenses and frost heave, Journal of Geophysical Research: Earth Surface, 112, https://doi.org/10.1029/2006JF000525, 2007.
Rouyet, L., Lauknes, T. R., Christiansen, H. H., Strand, S. M., and Larsen, Y.: Seasonal dynamics of a permafrost landscape, Adventdalen, Svalbard, investigated by InSAR, Remote Sensing of Environment, 231, 111236, https://doi.org/10.1016/j.rse.2019.111236, 2019.
Rouyet, L., Liu, L., Strand, S. M., Christiansen, H. H., Lauknes, T. R., and Larsen, Y.: Seasonal InSAR Displacements Documenting the Active Layer Freeze and Thaw Progression in Central-Western Spitsbergen, Svalbard, Remote Sensing, 13, 2977, https://doi.org/10.3390/rs13152977, 2021.
Schaefer, K., Liu, L., Parsekian, A., Jafarov, E., Chen, A., Zhang, T., Gusmeroli, A., Panda, S., Zebker, H. A., and Schaefer, T.: Remotely Sensed Active Layer Thickness (ReSALT) at Barrow, Alaska Using Interferometric Synthetic Aperture Radar, Remote Sensing, 7, 3735–3759, https://doi.org/10.3390/rs70403735, 2015.
Scheer, J., Caduff, R., How, P., Marcer, M., Strozzi, T., Bartsch, A., and Ingeman-Nielsen, T.: Thaw-Season InSAR Surface Displacements and Frost Susceptibility Mapping to Support Community-Scale Planning in Ilulissat, West Greenland, Remote Sensing, 15, 3310, https://doi.org/10.3390/rs15133310, 2023.
Scherler, M., Hauck, C., Hoelzle, M., Stähli, M., and Völksch, I.: Meltwater infiltration into the frozen active layer at an alpine permafrost site, Permafrost and Periglacial Processes, 21, 325–334, https://doi.org/10.1002/ppp.694, 2010.
Schuur, E. A. G., McGuire, A. D., Schädel, C., Grosse, G., Harden, J. W., Hayes, D. J., Hugelius, G., Koven, C. D., Kuhry, P., Lawrence, D. M., Natali, S. M., Olefeldt, D., Romanovsky, V. E., Schaefer, K., Turetsky, M. R., Treat, C. C., and Vonk, J. E.: Climate change and the permafrost carbon feedback, Nature, 520, 171–179, https://doi.org/10.1038/nature14338, 2015.
Short, N. H. and Fraser, R. H.: Comparison of RADARSAT-2 and Sentinel-1 DInSAR displacements over upland ice-wedge polygonal terrain, Banks Island, Northwest Territories, Canada, Geomatics Canada, 73, 22, Natural Resources Canada, https://doi.org/10.4095/331683, 2023.
Shur, Y., Hinkel, K. M., and Nelson, F. E.: The transient layer: implications for geocryology and climate-change science, Permafrost and Periglacial Processes, 16, 5–17, https://doi.org/10.1002/ppp.518, 2005.
Strozzi, T., Antonova, S., Günther, F., Mätzler, E., Vieira, G., Wegmüller, U., Westermann, S., and Bartsch, A.: Sentinel-1 SAR Interferometry for Surface Deformation Monitoring in Low-Land Permafrost Areas, Remote Sensing, 10, 1360, https://doi.org/10.3390/rs10091360, 2018.
Taber, S.: The Mechanics of Frost Heaving, The Journal of Geology, 38, 303–317, https://doi.org/10.1086/623720, 1930.
Walvoord, M. A. and Kurylyk, B. L.: Hydrologic Impacts of Thawing Permafrost–A Review, Vadose Zone Journal, 15, vzj2016.01.0010, https://doi.org/10.2136/vzj2016.01.0010, 2016.
Wang, C., Zhang, Z., Zhang, H., Zhang, B., Tang, Y., and Wu, Q.: Active Layer Thickness Retrieval of Qinghai–Tibet Permafrost Using the TerraSAR-X InSAR Technique, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 4403–4413, https://doi.org/10.1109/JSTARS.2018.2873219, 2018.
Wang, L., Marzahn, P., Bernier, M., and Ludwig, R.: Sentinel-1 InSAR measurements of deformation over discontinuous permafrost terrain, Northern Quebec, Canada, Remote Sensing of Environment, 248, 111965, https://doi.org/10.1016/j.rse.2020.111965, 2020.
Wang, L., Zhao, L., Zhou, H., Liu, S., Hu, G., Li, Z., Wang, C., and Zhao, J.: Evidence of ground ice melting detected by InSAR and in situ monitoring over permafrost terrain on the Qinghai-Xizang (Tibet) Plateau, Permafrost and Periglacial Processes, 34, 52–67, https://doi.org/10.1002/ppp.2171, 2023.
Wendt, L.: Ground ice contents and InSAR displacements from Adventdalen, Svalbard, Zenodo [data set], https://doi.org/10.5281/zenodo.11187359, 2024.
Yalvac, S.: Validating InSAR-SBAS results by means of different GNSS analysis techniques in medium- and high-grade deformation areas, Environ. Monit. Assess., 192, 120, https://doi.org/10.1007/s10661-019-8009-8, 2020.
Zwieback, S. and Meyer, F. J.: Top-of-permafrost ground ice indicated by remotely sensed late-season subsidence, The Cryosphere, 15, 2041–2055, https://doi.org/10.5194/tc-15-2041-2021, 2021.
Zwieback, S., Iwahana, G., Sakhalkar, S., Biessel, R., Taylor, S., and Meyer, F. J.: Excess Ground Ice Profiles in Continuous Permafrost Mapped From InSAR Subsidence, Water Resources Research, 60, e2023WR035331, https://doi.org/10.1029/2023WR035331, 2024.
Short summary
In permafrost environments, the ground surface moves due to the formation and melt of ice in the ground. This study compares ground surface displacements measured from satellite images against field data of ground ice contents. We find good agreement between the detected seasonal subsidence and observed ground ice melt. Our results show the potential of satellite remote sensing for mapping ground ice variability, but also indicate that ice in excess of the pore space must be considered.
In permafrost environments, the ground surface moves due to the formation and melt of ice in the...
