Articles | Volume 17, issue 10
https://doi.org/10.5194/essd-17-5707-2025
© Author(s) 2025. 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-17-5707-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
28 Oct 2025
Data description paper |
| 28 Oct 2025
| 28 Oct 2025
High-resolution inventory and classification of retrogressive thaw slumps in West Siberia
Permafrost Research Section, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 14473 Potsdam, Germany
Institute of Geosciences, University of Potsdam, 14476 Potsdam, Germany
Ilia Tarasevich
Earth Cryosphere Institute, Tyumen Scientific Centre SB RAS, 625026 Tyumen, Russia
Cryolithology and Glaciology Department, Faculty of Geography, Lomonosov Moscow State University, 119991 Moscow, Russia
Marina Leibman
Earth Cryosphere Institute, Tyumen Scientific Centre SB RAS, 625026 Tyumen, Russia
Artem Khomutov
Earth Cryosphere Institute, Tyumen Scientific Centre SB RAS, 625026 Tyumen, Russia
Alexander Kizyakov
Cryolithology and Glaciology Department, Faculty of Geography, Lomonosov Moscow State University, 119991 Moscow, Russia
Ingmar Nitze
Permafrost Research Section, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 14473 Potsdam, Germany
Guido Grosse
Permafrost Research Section, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 14473 Potsdam, Germany
Institute of Geosciences, University of Potsdam, 14476 Potsdam, Germany
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Retrogressive thaw slumps (RTSs) are widespread in the Arctic permafrost landforms. RTSs present a big interest for researchers because of their expansion due to climate change. There are currently different scientific schools and terminology used in the literature on this topic. We have critically reviewed existing concepts and terminology and provided clarifications to present a useful base for experts in the field and ease the introduction to the topic for scientists who are new to it.
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Mapping soil moisture in Arctic permafrost regions is crucial for various activities, but it is challenging with typical satellite methods due to the landscape's diversity. Seasonal freezing and thawing cause the ground to periodically rise and subside. Our research demonstrates that this seasonal ground settlement, measured with Sentinel-1 satellite data, is larger in areas with wetter soils. This method helps to monitor permafrost degradation.
Tabea Rettelbach, Ingmar Nitze, Inge Grünberg, Jennika Hammar, Simon Schäffler, Daniel Hein, Matthias Gessner, Tilman Bucher, Jörg Brauchle, Jörg Hartmann, Torsten Sachs, Julia Boike, and Guido Grosse
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We combine hydrochemical and lake change data to show consequences of permafrost thaw induced lake changes on hydrochemistry, which are relevant for the global carbon cycle. We found higher methane concentrations in lakes that do not freeze to the ground and show that lagoons have lower methane concentrations than lakes. Our detailed lake sampling approach show higher concentrations in Dissolved Organic Carbon in areas of higher erosion rates, that might increase under the climate warming.
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Annett Bartsch, Aleksandra Efimova, Barbara Widhalm, Xaver Muri, Clemens von Baeckmann, Helena Bergstedt, Ksenia Ermokhina, Gustaf Hugelius, Birgit Heim, and Marina Leibman
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Mauricio Arboleda-Zapata, Michael Angelopoulos, Pier Paul Overduin, Guido Grosse, Benjamin M. Jones, and Jens Tronicke
The Cryosphere, 16, 4423–4445, https://doi.org/10.5194/tc-16-4423-2022, https://doi.org/10.5194/tc-16-4423-2022, 2022
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Loeka L. Jongejans, Kai Mangelsdorf, Cornelia Karger, Thomas Opel, Sebastian Wetterich, Jérémy Courtin, Hanno Meyer, Alexander I. Kizyakov, Guido Grosse, Andrei G. Shepelev, Igor I. Syromyatnikov, Alexander N. Fedorov, and Jens Strauss
The Cryosphere, 16, 3601–3617, https://doi.org/10.5194/tc-16-3601-2022, https://doi.org/10.5194/tc-16-3601-2022, 2022
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Large parts of Arctic Siberia are underlain by permafrost. Climate warming leads to permafrost thaw. At the Batagay megaslump, permafrost sediments up to ~ 650 kyr old are exposed. We took sediment samples and analysed the organic matter (e.g. plant remains). We found distinct differences in the biomarker distributions between the glacial and interglacial deposits with generally stronger microbial activity during interglacial periods. Further permafrost thaw enhances greenhouse gas emissions.
Jan Nitzbon, Damir Gadylyaev, Steffen Schlüter, John Maximilian Köhne, Guido Grosse, and Julia Boike
The Cryosphere, 16, 3507–3515, https://doi.org/10.5194/tc-16-3507-2022, https://doi.org/10.5194/tc-16-3507-2022, 2022
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The microstructure of permafrost soils contains clues to its formation and its preconditioning to future change. We used X-ray computed tomography (CT) to measure the composition of a permafrost drill core from Siberia. By combining CT with laboratory measurements, we determined the the proportions of pore ice, excess ice, minerals, organic matter, and gas contained in the core at an unprecedented resolution. Our work demonstrates the potential of CT to study permafrost properties and processes.
Matthias Fuchs, Juri Palmtag, Bennet Juhls, Pier Paul Overduin, Guido Grosse, Ahmed Abdelwahab, Michael Bedington, Tina Sanders, Olga Ogneva, Irina V. Fedorova, Nikita S. Zimov, Paul J. Mann, and Jens Strauss
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We created digital, high-resolution bathymetry data sets for the Lena Delta and Kolyma Gulf regions in northeastern Siberia. Based on nautical charts, we digitized depth points and isobath lines, which serve as an input for a 50 m bathymetry model. The benefit of this data set is the accurate mapping of near-shore areas as well as the offshore continuation of the main deep river channels. This will improve the estimation of river outflow and the nutrient flux output into the coastal zone.
Charlotte Haugk, Loeka L. Jongejans, Kai Mangelsdorf, Matthias Fuchs, Olga Ogneva, Juri Palmtag, Gesine Mollenhauer, Paul J. Mann, P. Paul Overduin, Guido Grosse, Tina Sanders, Robyn E. Tuerena, Lutz Schirrmeister, Sebastian Wetterich, Alexander Kizyakov, Cornelia Karger, and Jens Strauss
Biogeosciences, 19, 2079–2094, https://doi.org/10.5194/bg-19-2079-2022, https://doi.org/10.5194/bg-19-2079-2022, 2022
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Buried animal and plant remains (carbon) from the last ice age were freeze-locked in permafrost. At an extremely fast eroding permafrost cliff in the Lena Delta (Siberia), we found this formerly frozen carbon well preserved. Our results show that ongoing degradation releases substantial amounts of this carbon, making it available for future carbon emissions. This mobilisation at the studied cliff and also similarly eroding sites bear the potential to affect rivers and oceans negatively.
David Olefeldt, Mikael Hovemyr, McKenzie A. Kuhn, David Bastviken, Theodore J. Bohn, John Connolly, Patrick Crill, Eugénie S. Euskirchen, Sarah A. Finkelstein, Hélène Genet, Guido Grosse, Lorna I. Harris, Liam Heffernan, Manuel Helbig, Gustaf Hugelius, Ryan Hutchins, Sari Juutinen, Mark J. Lara, Avni Malhotra, Kristen Manies, A. David McGuire, Susan M. Natali, Jonathan A. O'Donnell, Frans-Jan W. Parmentier, Aleksi Räsänen, Christina Schädel, Oliver Sonnentag, Maria Strack, Suzanne E. Tank, Claire Treat, Ruth K. Varner, Tarmo Virtanen, Rebecca K. Warren, and Jennifer D. Watts
Earth Syst. Sci. Data, 13, 5127–5149, https://doi.org/10.5194/essd-13-5127-2021, https://doi.org/10.5194/essd-13-5127-2021, 2021
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Wetlands, lakes, and rivers are important sources of the greenhouse gas methane to the atmosphere. To understand current and future methane emissions from northern regions, we need maps that show the extent and distribution of specific types of wetlands, lakes, and rivers. The Boreal–Arctic Wetland and Lake Dataset (BAWLD) provides maps of five wetland types, seven lake types, and three river types for northern regions and will improve our ability to predict future methane emissions.
Torben Windirsch, Guido Grosse, Mathias Ulrich, Bruce C. Forbes, Mathias Göckede, Juliane Wolter, Marc Macias-Fauria, Johan Olofsson, Nikita Zimov, and Jens Strauss
Biogeosciences Discuss., https://doi.org/10.5194/bg-2021-227, https://doi.org/10.5194/bg-2021-227, 2021
Revised manuscript not accepted
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With global warming, permafrost thaw and associated carbon release are of increasing importance. We examined how large herbivorous animals affect Arctic landscapes and how they might contribute to reduction of these emissions. We show that over a short timespan of roughly 25 years, these animals have already changed the vegetation and landscape. On pastures in a permafrost area in Siberia we found smaller thaw depth and higher carbon content than in surrounding non-pasture areas.
Lydia Stolpmann, Caroline Coch, Anne Morgenstern, Julia Boike, Michael Fritz, Ulrike Herzschuh, Kathleen Stoof-Leichsenring, Yury Dvornikov, Birgit Heim, Josefine Lenz, Amy Larsen, Katey Walter Anthony, Benjamin Jones, Karen Frey, and Guido Grosse
Biogeosciences, 18, 3917–3936, https://doi.org/10.5194/bg-18-3917-2021, https://doi.org/10.5194/bg-18-3917-2021, 2021
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Our new database summarizes DOC concentrations of 2167 water samples from 1833 lakes in permafrost regions across the Arctic to provide insights into linkages between DOC and environment. We found increasing lake DOC concentration with decreasing permafrost extent and higher DOC concentrations in boreal permafrost sites compared to tundra sites. Our study shows that DOC concentration depends on the environmental properties of a lake, especially permafrost extent, ecoregion, and vegetation.
Alexander Savvichev, Igor Rusanov, Yury Dvornikov, Vitaly Kadnikov, Anna Kallistova, Elena Veslopolova, Antonina Chetverova, Marina Leibman, Pavel A. Sigalevich, Nikolay Pimenov, Nikolai Ravin, and Artem Khomutov
Biogeosciences, 18, 2791–2807, https://doi.org/10.5194/bg-18-2791-2021, https://doi.org/10.5194/bg-18-2791-2021, 2021
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Microbial processes of the methane cycle were studied in four lakes of the central part of the Yamal Peninsula in an area of continuous permafrost: two large, deep lakes and two small and shallow ones. It was found that only small, shallow lakes contributed significantly to the overall diffusive methane emissions from the water surface during the warm summer season. The water column of large, deep lakes on Yamal acted as a microbial filter preventing methane emissions into the atmosphere.
Ines Spangenberg, Pier Paul Overduin, Ellen Damm, Ingeborg Bussmann, Hanno Meyer, Susanne Liebner, Michael Angelopoulos, Boris K. Biskaborn, Mikhail N. Grigoriev, and Guido Grosse
The Cryosphere, 15, 1607–1625, https://doi.org/10.5194/tc-15-1607-2021, https://doi.org/10.5194/tc-15-1607-2021, 2021
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Thermokarst lakes are common on ice-rich permafrost. Many studies have shown that they are sources of methane to the atmosphere. Although they are usually covered by ice, little is known about what happens to methane in winter. We studied how much methane is contained in the ice of a thermokarst lake, a thermokarst lagoon and offshore. Methane concentrations differed strongly, depending on water body type. Microbes can also oxidize methane in ice and lower the concentrations during winter.
Sebastian Wetterich, Alexander Kizyakov, Michael Fritz, Juliane Wolter, Gesine Mollenhauer, Hanno Meyer, Matthias Fuchs, Aleksei Aksenov, Heidrun Matthes, Lutz Schirrmeister, and Thomas Opel
The Cryosphere, 14, 4525–4551, https://doi.org/10.5194/tc-14-4525-2020, https://doi.org/10.5194/tc-14-4525-2020, 2020
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In the present study, we analysed geochemical and sedimentological properties of relict permafrost and ground ice exposed at the Sobo-Sise Yedoma cliff in the eastern Lena delta in NE Siberia. We obtained insight into permafrost aggradation and degradation over the last approximately 52 000 years and the climatic and morphodynamic controls on regional-scale permafrost dynamics of the central Laptev Sea coastal region.
Arthur Monhonval, Sophie Opfergelt, Elisabeth Mauclet, Benoît Pereira, Aubry Vandeuren, Guido Grosse, Lutz Schirrmeister, Matthias Fuchs, Peter Kuhry, and Jens Strauss
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-359, https://doi.org/10.5194/essd-2020-359, 2020
Preprint withdrawn
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With global warming, ice-rich permafrost soils expose organic carbon to microbial degradation and unlock mineral elements as well. Interactions between mineral elements and organic carbon may enhance or mitigate microbial degradation. Here, we provide a large scale ice-rich permafrost mineral concentrations assessment and estimates of mineral element stocks in those deposits. Si is the most abundant mineral element and Fe and Al are present in the same order of magnitude as organic carbon.
Ingmar Nitze, Sarah W. Cooley, Claude R. Duguay, Benjamin M. Jones, and Guido Grosse
The Cryosphere, 14, 4279–4297, https://doi.org/10.5194/tc-14-4279-2020, https://doi.org/10.5194/tc-14-4279-2020, 2020
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In summer 2018, northwestern Alaska was affected by widespread lake drainage which strongly exceeded previous observations. We analyzed the spatial and temporal patterns with remote sensing observations, weather data and lake-ice simulations. The preceding fall and winter season was the second warmest and wettest on record, causing the destabilization of permafrost and elevated water levels which likely led to widespread and rapid lake drainage during or right after ice breakup.
Cited articles
AMAP: Snow, water, ice and permafrost in the Arctic (SWIPA) 2017, Arctic Monitoring and Assessment Programme (AMAP), ISBN 978-82-7971-101-8, 2017.
Ardelean, F., Onaca, A., Cheţan, M.-A., Dornik, A., Georgievski, G., Hagemann, S., Timofte, F., and Berzescu, O.: Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic, Remote Sens., 12, 3999, https://doi.org/10.3390/rs12233999, 2020.
Babkina, E. A., Leibman, M. O., Dvornikov, Yu. A., Fakashchuk, N. Y., Khairullin, R. R., and Khomutov, A. V.: Activation of Cryogenic Processes in Central Yamal as a Result of Regional and Local Change in Climate and Thermal State of Permafrost, Russ. Meteorol. Hydrol., 44, 283–290, https://doi.org/10.3103/S1068373919040083, 2019.
Badu, Y. B.: Ice content of cryogenic strata (permafrost interval) in gas-bearing structures, Northern Yamal (In Russian), Earth's Cryosphere, 19, 9–18, 2015.
Barth, S., Nitze, I., Juhls, B., Runge, A., and Grosse, G.: Rapid Changes in Retrogressive Thaw Slump Dynamics in the Russian High Arctic Based on Very High-Resolution Remote Sensing, Geophys. Res. Let., 52, e2024GL113022, https://doi.org/10.1029/2024GL113022, 2025.
Baulin, V. V. and Danilova, N. S.: West Siberia, in: Fundamental of Geocryology. Regional and historical geogryology of the world, Moscow State University, Moscow, 252–271, 1998.
Baulin, V. V., Belopukhova, E. B., Dubikov, G. I., and Shmelev, L. M.: Geocryological conditions of western Siberia Lowland, Nauka, Moscow, Russia, 1967.
Bernhard, P., Zwieback, S., Leinss, S., and Hajnsek, I.: Mapping Retrogressive Thaw Slumps Using Single-Pass TanDEM-X Observations, IEEE J. Select. Top. Appl. Earth Obs. Remote Sens., 13, 3263–3280, https://doi.org/10.1109/JSTARS.2020.3000648, 2020.
Bernhard, P., Zwieback, S., Bergner, N., and Hajnsek, I.: Assessing volumetric change distributions and scaling relations of retrogressive thaw slumps across the Arctic, The Cryosphere, 16, 1–15, https://doi.org/10.5194/tc-16-1-2022, 2022.
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.
Brown, J., Hinkel, K. M., and Nelson, F. E.: The circumpolar active layer monitoring (calm) program: Research designs and initial results 1, Polar Geogr., 24, 166–258, https://doi.org/10.1080/10889370009377698, 2000.
Cassidy, A. E., Christen, A., and Henry, G. H. R.: Impacts of active retrogressive thaw slumps on vegetation, soil, and net ecosystem exchange of carbon dioxide in the Canadian High Arctic, Arct. Sci., 3, 179–202, https://doi.org/10.1139/as-2016-0034, 2017.
Dixon, P. M.: Ripley's K function, in: Encyclopedia of Environmetrics, vol. 3, John Wiley & Sons, Ltd, Chichester, 1796–1803, ISBN 0471 899976, 2002.
ESRI World Imagery Wayback: https://livingatlas.arcgis.com/wayback/ (last access: 1 October 2024), 2024.
Günther, F., Overduin, P. P., Sandakov, A., Grosse, G., and Grigoriev, M. N.: Thermo-erosion along the yedoma coast of the Buor Khaya peninsula, Laptev Sea, east Siberia, Proceedings of the Tenth International Conference on Permafrost, Volume 1: International Contributions, 137–142, https://epic.awi.de/id/eprint/30828/1/Guenther_etal_TICOP_2012.pdf (last access: 1 February 2025), 2012.
Harris, S. A. and Permafrost Subcommittee, Associate Committee on Geotechnical Research, National Research Council of Canada (Eds.): Glossary of permafrost and related ground-ice terms, Ottawa, Ontario, Canada, 156 pp., https://doi.org/10.4224/20386561, 1988.
Huang, L., Luo, J., Lin, Z., Niu, F., and Liu, L.: Using deep learning to map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from CubeSat images, Remote Sens. Environ., 237, 111534, https://doi.org/10.1016/j.rse.2019.111534, 2020.
Huang, L., Liu, L., Luo, J., Lin, Z., and Niu, F.: Automatically quantifying evolution of retrogressive thaw slumps in Beiluhe (Tibetan Plateau) from multi-temporal CubeSat images, Int. J. Appl. Earth Obs. Geoinf., 102, 102399, https://doi.org/10.1016/j.jag.2021.102399, 2021.
Huang, L., Willis, M. J., Li, G., Lantz, T. C., Schaefer, K., Wig, E., Cao, G., and Tiampo, K. F.: Identifying active retrogressive thaw slumps from ArcticDEM, ISPRS J. Photogram. Remote Sens., 205, 301–316, https://doi.org/10.1016/j.isprsjprs.2023.10.008, 2023.
Kerfoot, D. E.: The geomorphology and permafrost conditions of Garry Island, N.W.T., Text, https://doi.org/10.14288/1.0102152, 1969.
Khomutov, A., Leibman, M., Dvornikov, Yu., Gubarkov, A., Mullanurov, D., and Khairullin, R.: Activation of Cryogenic Earth Flows and Formation of Thermocirques on Central Yamal as a Result of Climate Fluctuations, in: Advancing Culture of Living with Landslides, Proceedings of World Landslide Forum 4, Vol. 5, Landslides in Different Environments, 29 May–2 June 2017, Ljubljana, Slovenia, 209–216, https://doi.org/10.1007/978-3-319-53483-1_24, 2017.
Khomutov, A. V., Babkina, E. A., Khairullin, R. R., and Dvornikov, Yu. A.: Factors of thermal denudation activation and thermicirques activity on central Yamal in 2010–2018, Arct. Antarct. Res., 70, 222–237, 2024.
Kokelj, S. V., Tunnicliffe, J., Lacelle, D., Lantz, T. C., and Fraser, R. H.: Retrogressive thaw slumps: From slope process to the landscape sensitivity of northwestern Canada, in: Proceedings of the 68th Canadian geotechnical conference, GeoQuébec, https://www.nwtgeoscience.ca/sites/ntgs/files/kokelj_et_al_geoquebec_104_2015.pdf (last access: 1 February 2025), 2015.
Lantuit, H. and Pollard, W. H.: Temporal stereophotogrammetric analysis of retrogressive thaw slumps on Herschel Island, Yukon Territory, Nat. Hazards Earth Syst. Sci., 5, 413–423, https://doi.org/10.5194/nhess-5-413-2005, 2005.
Lantz, T. C. and Kokelj, S. V.: Increasing rates of retrogressive thaw slump activity in the Mackenzie Delta region, N.W.T., Canada, Geophys. Res. Lett., 35, L06502, https://doi.org/10.1029/2007GL032433, 2008.
Lantz, T. C., Kokelj, S. V., Gergel, S. E., and Henry, G. H. R.: Relative impacts of disturbance and temperature: persistent changes in microenvironment and vegetation in retrogressive thaw slumps, Global Change Biol., 15, 1664–1675, https://doi.org/10.1111/j.1365-2486.2009.01917.x, 2009.
Leibman, M., Kizyakov, A., Zhdanova, Y., Sonyushkin, A., and Zimin, M.: Coastal Retreat Due to Thermodenudation on the Yugorsky Peninsula, Russia during the Last Decade, Update since 2001–2010, Remote Sens., 13, 4042, https://doi.org/10.3390/rs13204042, 2021.
Leibman, M. O. and Kizyakov, A. I.: Cryogenic landslides of the Yamal and Yugorsky Peninsulas, Earth Cryosphere Institute SB RAS, Moscow, ISBN 5-85941-206-1, 2007.
Leibman, M. O., Khomutov, A. V., Gubarkov, A. A., Dvornikov, Y. A., and Mullanurov, D. R.: The research station “Vaskiny Dachi”, Central Yamal, West Siberia, Russia–a review of 25 years of permafrost studies, Fennia – Int. J. Geogr., 193, 3–30, 2015.
Lewkowicz, A. G. and Way, R. G.: Extremes of summer climate trigger thousands of thermokarst landslides in a High Arctic environment, Nat. Commun., 10, 1329, https://doi.org/10.1038/s41467-019-09314-7, 2019.
Luo, D., Wu, Q., Jin, H., Marchenko, S. S., Lü, L., and Gao, S.: Recent changes in the active layer thickness across the northern hemisphere, Environ. Earth Sci., 75, 555, https://doi.org/10.1007/s12665-015-5229-2, 2016.
Luo, J., Niu, F., Lin, Z., Liu, M., Yin, G., and Gao, Z.: Inventory and Frequency of Retrogressive Thaw Slumps in Permafrost Region of the Qinghai–Tibet Plateau, Geophys. Res. Lett., 49, e2022GL099829, https://doi.org/10.1029/2022GL099829, 2022.
Mackay, J. R.: Segregated epigenetic ice and slumps in permafrost, Mackenzie Delta area, NWT, Geogr. Bull., 8, 59–80, 1966.
Makopoulou, E., Karjalainen, O., Elia, L., Blais-Stevens, A., Lantz, T., Lipovsky, P., Lombardo, L., Nicu, I. C., Rubensdotter, L., Rudy, A. C. A., and Hjort, J.: Retrogressive thaw slump susceptibility in the northern hemisphere permafrost region, Earth Surf. Proc. Land., 49, 3319–3331, https://doi.org/10.1002/esp.5890, 2024.
Miner, K. R., Turetsky, M. R., Malina, E., Bartsch, A., Tamminen, J., McGuire, A. D., Fix, A., Sweeney, C., Elder, C. D., and Miller, C. E.: Permafrost carbon emissions in a changing Arctic, Nat. Rev. Earth Environ., 3, 55–67, https://doi.org/10.1038/s43017-021-00230-3, 2022.
Nesterova, N. and Tarasevich, I.: Decision tree for the classification of retrogressive thaw slumps in West Siberia, Zenodo [supplement], https://doi.org/10.5281/zenodo.15063753, 2025.
Nesterova, N., Leibman, M., Kizyakov, A., Lantuit, H., Tarasevich, I., Nitze, I., Veremeeva, A., and Grosse, G.: Review article: Retrogressive thaw slump characteristics and terminology, The Cryosphere, 18, 4787–4810, https://doi.org/10.5194/tc-18-4787-2024, 2024.
Nesterova, N., Tarasevich, I., Leibman, M., Khomutov, A. V., Kizyakov, A., Nitze, I., and Grosse, G.: Manually mapped retrogressive thaw slumps in West Siberia, version 0.1, PANGAEA [dataset], https://doi.org/10.1594/PANGAEA.974406, 2025.
Nesterova, N. B., Khomutov, A. V., Leibman, M. O., Safonov, T. A., and Belova, N. G.: The inventory of retrogressive thaw slumps (thermocirques) in the north of West Siberia based on 2016–2018 satellite imagery mosaic, Earth's Cryosphere, 25, https://doi.org/10.15372/KZ20210604, 2021.
Nitze, I., Grosse, G., Jones, B. M., Romanovsky, V. E., and Boike, J.: Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic, Nat. Commun., 9, https://doi.org/10.1038/s41467-018-07663-3, 2018.
Nitze, I., Heidler, K., Barth, S., and Grosse, G.: Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps, Remote Sens., 13, 4294, https://doi.org/10.3390/rs13214294, 2021.
Nitze, I., Van der Sluijs, J., Barth, S., Bernhard, P., Huang, L., Kizyakov, A., Lara, M. J., Nesterova, N., Runge, A., Veremeeva, A., Ward Jones, M., Witharana, C., Xia, Z., and Liljedahl, A. K.: A Labeling Intercomparison of Retrogressive Thaw Slumps by a Diverse Group of Domain Experts, Permafrost Periglac. Process., 36, 83–92, https://doi.org/10.1002/ppp.2249, 2024.
Nitze, I., Heidler, K., Nesterova, N., Küpper, J., Schütt, E., Hölzer, T., Barth, S., Lara, M. J., Liljedahl, A. K., and Grosse, G.: DARTS: Multi-year database of AI-detected retrogressive thaw slumps in the circum-arctic permafrost region, Sci. Data, 12, 1512, https://doi.org/10.1038/s41597-025-05810-2, 2025.
Novikova, A., Belova, N., Baranskaya, A., Aleksyutina, D., Maslakov, A., Zelenin, E., Shabanova, N., and Ogorodov, S.: Dynamics of Permafrost Coasts of Baydaratskaya Bay (Kara Sea) Based on Multi-Temporal Remote Sensing Data, Remote Sens., 10, https://doi.org/10.3390/rs10091481, 2018.
Obu, J.: How Much of the Earth's Surface is Underlain by Permafrost?, J. Geophys. Res.-Earth, 126, e2021JF006123, https://doi.org/10.1029/2021JF006123, 2021.
Obu, J., Westermann, S., Bartsch, A., Berdnikov, N., Christiansen, H. H., Dashtseren, A., Delaloye, R., Elberling, B., Etzelmüller, B., Kholodov, A., Khomutov, A., Kääb, A., Leibman, M. O., Lewkowicz, A. G., Panda, S. K., Romanovsky, V., Way, R. G., Westergaard-Nielsen, A., Wu, T., Yamkhin, J., and Zou, D.: Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale, Earth-Sci. Rev., 193, 299–316, https://doi.org/10.1016/j.earscirev.2019.04.023, 2019.
Pollard, W. H. and French, H. M.: A first approximation of the volume of ground ice, Richards Island, Pleistocene Mackenzie Delta, Northwest Territories, Canada, Can. Geotech. J., 17, 509–516, 1980.
Rodenhizer, H., Yang, Y., Fiske, G., Potter, S., Windholz, T., Mullen, A., Watts, J. D., and Rogers, B. M.: A Comparison of Satellite Imagery Sources for Automated Detection of Retrogressive Thaw Slumps, Remote Sens., 16, https://doi.org/10.3390/rs16132361, 2024.
Runge, A., Nitze, I., and Grosse, G.: Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr, Remote Sens. Environ., 268, 112752, https://doi.org/10.1016/j.rse.2021.112752, 2022.
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.
Segal, R. A., Lantz, T. C., and Kokelj, S. V.: Acceleration of thaw slump activity in glaciated landscapes of the Western Canadian Arctic, Environ. Res. Lett., 11, 34025, https://doi.org/10.1088/1748-9326/11/3/034025, 2016a.
Segal, R. A., Kokelj, S. V., Lantz, T. C., Pierce, K. L., Durkee, K., Gervais, S., Mahon, E., Snijders, M., Buysse, J., and Schwarz, S.: NWT Open Report 2016-023 Mapping of Terrain Affected by Retrogressive Thaw Slumping in Northwestern Canada, NWT Open Report 2016-023, NWT, p. 5, https://nwtdiscoveryportal.enr.gov.nt.ca/geoportaldocuments/NWT Open Report 2016-008.pdf (last access: 1 February 2025), 2016b.
Smith, S. L., O'Neill, H. B., Isaksen, K., Noetzli, J., and Romanovsky, V. E.: The changing thermal state of permafrost, Nat. Rev. Earth Environ., 3, 10–23, https://doi.org/10.1038/s43017-021-00240-1, 2022.
Strauss, J., Laboor, S., Schirrmeister, L., Fedorov, A. N., Fortier, D., Froese, D., Fuchs, M., Günther, F., Grigoriev, M., Harden, J., Hugelius, G., Jongejans, L. L., Kanevskiy, M., Kholodov, A., Kunitsky, V., Kraev, G., Lozhkin, A., Rivkina, E., Shur, Y., Siegert, C., Spektor, V., Streletskaya, I., Ulrich, M., Vartanyan, S., Veremeeva, A., Anthony, K. W., Wetterich, S., Zimov, N., and Grosse, G.: Circum-Arctic Map of the Yedoma Permafrost Domain, Front. Earth Sci., 9, https://doi.org/10.3389/feart.2021.758360, 2021.
Streletskaya, I., Gusev, E., Vasiliev, A., Oblogov, G., and Molodkov, A.: Pleistocene-Holocene palaeoenvironmental records from permafrost sequences at the Kara Sea coast (NW Siberia, Russia), Geogr. Environ. Sustainabil., 6, 60–76, 2013.
Streletskaya, I. D., Vasiliev, A. A., and Vanstein, B. G.: Erosion of Sediment and Organic Carbon from the Kara Sea Coast, Arct. Antarct. Alp. Res., 41, 79–87, https://doi.org/10.1657/1523-0430-41.1.79, 2009.
Swanson, D. K. and Nolan, M.: Growth of retrogressive thaw slumps in the Noatak Valley, Alaska, 2010–2016, measured by airborne photogrammetry, Remote Sens., 10, https://doi.org/10.3390/rs10070983, 2018.
Thienpont, J. R., Ruehland, K. M., Pisaric, M. F. J., Kokelj, S. V., Kimpe, L. E., Blais, J. M., and Smol, J. P.: Biological responses to permafrost thaw slumping in Canadian Arctic lakes, Freshwater Biol., 58, 337–353, 2013.
Vasil'chuk, A. C. and Vasil'chuk, Y. K.: Pollen and hydrochemical diagrams and radiocarbon age of the Late Pleistocene polygonal massif in the mouth of the Mongatalyangyakha River, Yavai Peninsula, Arct. Antarct., 4, 16–29, https://doi.org/10.7256/2453-8922.2018.4.28583, 2018.
Vasil'chuk, Y., Vasil'chuk, A., and Budantseva, N.: AMS 14C Dating of Seyakha Yedoma and January air palaeotemperatures for 25–21 CAL KA BP based on the stable isotope compositions of syngenetic ice wedges, Radiocarbon, 64, 1419–1429, https://doi.org/10.1017/RDC.2022.15, 2022.
Vasiliev, A. A., Drozdov, D. S., Gravis, A. G., Malkova, G. V., Nyland, K. E., and Streletskiy, D. A.: Permafrost degradation in the Western Russian Arctic, Environ. Res. Lett., 15, 045001, https://doi.org/10.1088/1748-9326/ab6f12, 2020.
Ward Jones, M. K., Pollard, W. H., and Jones, B. M.: Rapid initialization of retrogressive thaw slumps in the Canadian high Arctic and their response to climate and terrain factors, Environ. Res. Lett., 14, https://doi.org/10.1088/1748-9326/ab12fd, 2019.
Witharana, C., Udawalpola, M. R., Liljedahl, A. K., Jones, M. K. W., Jones, B. M., Hasan, A., Joshi, D., and Manos, E.: Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery, Remote Sens., 14, 4132, https://doi.org/10.3390/rs14174132, 2022.
Xia, Z., Huang, L., Fan, C., Jia, S., Lin, Z., Liu, L., Luo, J., Niu, F., and Zhang, T.: Retrogressive thaw slumps along the Qinghai–Tibet Engineering Corridor: a comprehensive inventory and their distribution characteristics, Earth Syst. Sci. Data, 14, 3875–3887, https://doi.org/10.5194/essd-14-3875-2022, 2022.
Yang, Y., Rogers, B. M., Fiske, G., Watts, J., Potter, S., Windholz, T., Mullen, A., Nitze, I., and Natali, S. M.: Mapping retrogressive thaw slumps using deep neural networks, Remote Sens. Environ., 288, 113495, https://doi.org/10.1016/j.rse.2023.113495, 2023.
Yang, Y., Rodenhizer, H., Rogers, B. M., Dean, J., Singh, R., Windholz, T., Poston, A., Potter, S., Zolkos, S., Fiske, G., Watts, J., Huang, L., Witharana, C., Nitze, I., Nesterova, N., Barth, S., Grosse, G., Lantz, T., Runge, A., Lombardo, L., Nicu, I. C., Rubensdotter, L., Makopoulou, E., and Natali, S.: A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards, Sci. Data, 12, 18, https://doi.org/10.1038/s41597-025-04372-7, 2025.
Young, J. M., Alvarez, A., van der Sluijs, J., Kokelj, S. V., Rudy, A., McPhee, A., Stoker, B. J., Margold, M., and Froese, D.: Recent Intensification (2004–2020) of Permafrost Mass-Wasting in the Central Mackenzie Valley Foothills Is a Legacy of Past Forest Fire Disturbances, Geophys. Res. Lett., 49, e2022GL100559, https://doi.org/10.1029/2022GL100559, 2022.
Short summary
We created the first detailed map of retrogressive thaw slump (RTS) landforms across a large area of the West Siberian Arctic. RTSs are key features of abrupt permafrost thaw accelerated by climate change. Using satellite images and field data, we identified and classified over 6000 RTSs. This dataset helps scientists better understand how warming is changing Arctic landscapes and provides a trusted reference for training artificial intelligence to detect these landforms in the future.
We created the first detailed map of retrogressive thaw slump (RTS) landforms across a large...
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