Articles | Volume 15, issue 4
https://doi.org/10.5194/tc-15-2041-2021
© Author(s) 2021. 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-15-2041-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Apr 2021
Research article |
| 23 Apr 2021
Top-of-permafrost ground ice indicated by remotely sensed late-season subsidence
Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK, USA
Franz J. Meyer
Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK, USA
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Joanmarie Del Vecchio, Emma R. Lathrop, Julian B. Dann, Christian G. Andresen, Adam D. Collins, Michael M. Fratkin, Simon Zwieback, Rachel C. Glade, and Joel C. Rowland
Earth Surf. Dynam., 11, 227–245, https://doi.org/10.5194/esurf-11-227-2023, https://doi.org/10.5194/esurf-11-227-2023, 2023
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In cold regions of the Earth, thawing permafrost can change the landscape, impact ecosystems, and lead to the release of greenhouse gases. In this study we used many observational tools to better understand how sediment moves on permafrost hillslopes. Some topographic change conforms to our understanding of slope stability and sediment transport as developed in temperate landscapes, but much of what we observed needs further explanation by permafrost-specific geomorphic models.
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With climate change, Arctic hillslopes above ice-rich permafrost are vulnerable to enhanced carbon mobilization. In this work elevation change estimates generated from satellite observations reveal a substantial acceleration of carbon mobilization on the Taymyr Peninsula in Siberia between 2010 and 2021. The strong increase occurring in 2020 coincided with a severe Siberian heatwave and highlights that carbon mobilization can respond sharply and non-linearly to increasing temperatures.
Philipp Bernhard, Simon Zwieback, Nora Bergner, and Irena Hajnsek
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We present an investigation of retrogressive thaw slumps in 10 study sites across the Arctic. These slumps have major impacts on hydrology and ecosystems and can also reinforce climate change by the mobilization of carbon. Using time series of digital elevation models, we found that thaw slump change rates follow a specific type of distribution that is known from landslides in more temperate landscapes and that the 2D area change is strongly related to the 3D volumetric change.
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Based on topsoil temperature data for different vegetation types at a low Arctic tundra site, we found large small-scale variability. Winter temperatures were strongly influenced by vegetation through its effects on snow. Summer temperatures were similar below most vegetation types and not consistently related to late summer permafrost thaw depth. Given that vegetation type defines the relationship between winter and summer soil temperature and thaw depth, it controls permafrost vulnerability.
Simon Zwieback, Andreas Colliander, Michael H. Cosh, José Martínez-Fernández, Heather McNairn, Patrick J. Starks, Marc Thibeault, and Aaron Berg
Hydrol. Earth Syst. Sci., 22, 4473–4489, https://doi.org/10.5194/hess-22-4473-2018, https://doi.org/10.5194/hess-22-4473-2018, 2018
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Satellite soil moisture products can provide critical information on incipient droughts and the interplay between vegetation and water availability. However, time-variant systematic errors in the soil moisture products may impede their usefulness. Using a novel statistical approach, we detect such errors (associated with changing vegetation) in the SMAP soil moisture product. The vegetation-associated biases impede drought detection and the quantification of vegetation–water interactions.
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We analyse elevation losses at thaw slumps, at which icy sediments are exposed. As ice requires a large amount of energy to melt, one would expect that mass wasting is governed by the available energy. However, we observe very little mass wasting in June, despite the ample energy supply. Also, in summer, mass wasting is not always energy limited. This highlights the importance of other processes, such as the formation of a protective veneer, in shaping mass wasting at sub-seasonal scales.
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In cold regions of the Earth, thawing permafrost can change the landscape, impact ecosystems, and lead to the release of greenhouse gases. In this study we used many observational tools to better understand how sediment moves on permafrost hillslopes. Some topographic change conforms to our understanding of slope stability and sediment transport as developed in temperate landscapes, but much of what we observed needs further explanation by permafrost-specific geomorphic models.
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Mountain snowmelt provides water for billions of people across the globe. Despite its importance, we cannot currently monitor how much water is in mountain snowpack from satellites. In this research, we test the ability of an experimental remote sensing technique to monitor snow from an airplane in preparation for the same sensor being launched on a future NASA satellite. We found the method worked better than expected in estimating important snowpack properties.
Philipp Bernhard, Simon Zwieback, and Irena Hajnsek
The Cryosphere, 16, 2819–2835, https://doi.org/10.5194/tc-16-2819-2022, https://doi.org/10.5194/tc-16-2819-2022, 2022
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With climate change, Arctic hillslopes above ice-rich permafrost are vulnerable to enhanced carbon mobilization. In this work elevation change estimates generated from satellite observations reveal a substantial acceleration of carbon mobilization on the Taymyr Peninsula in Siberia between 2010 and 2021. The strong increase occurring in 2020 coincided with a severe Siberian heatwave and highlights that carbon mobilization can respond sharply and non-linearly to increasing temperatures.
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Satellite soil moisture products can provide critical information on incipient droughts and the interplay between vegetation and water availability. However, time-variant systematic errors in the soil moisture products may impede their usefulness. Using a novel statistical approach, we detect such errors (associated with changing vegetation) in the SMAP soil moisture product. The vegetation-associated biases impede drought detection and the quantification of vegetation–water interactions.
Simon Zwieback, Steven V. Kokelj, Frank Günther, Julia Boike, Guido Grosse, and Irena Hajnsek
The Cryosphere, 12, 549–564, https://doi.org/10.5194/tc-12-549-2018, https://doi.org/10.5194/tc-12-549-2018, 2018
Short summary
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We analyse elevation losses at thaw slumps, at which icy sediments are exposed. As ice requires a large amount of energy to melt, one would expect that mass wasting is governed by the available energy. However, we observe very little mass wasting in June, despite the ample energy supply. Also, in summer, mass wasting is not always energy limited. This highlights the importance of other processes, such as the formation of a protective veneer, in shaping mass wasting at sub-seasonal scales.
Related subject area
Discipline: Frozen ground | Subject: Remote Sensing
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Inventory and changes of rock glacier creep speeds in Ile Alatau and Kungöy Ala-Too, northern Tien Shan, since the 1950s
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Rapid retreat of permafrost coastline observed with aerial drone photogrammetry
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Relative to the shrinking glaciers in the region, this implies increased importance of periglacial sediment transport.
Ingmar Nitze, Sarah W. Cooley, Claude R. Duguay, Benjamin M. Jones, and Guido Grosse
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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.
Jiahua Zhang, Lin Liu, and Yufeng Hu
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Ground surface in permafrost areas undergoes uplift and subsides seasonally due to freezing–thawing active layer. Surface elevation change serves as an indicator of frozen-ground dynamics. In this study, we identify 12 GPS stations across the Canadian Arctic, which are useful for measuring elevation changes by using reflected GPS signals. Measurements span from several years to over a decade and at daily intervals and help to reveal frozen ground dynamics at various temporal and spatial scales.
Eike Reinosch, Johannes Buckel, Jie Dong, Markus Gerke, Jussi Baade, and Björn Riedel
The Cryosphere, 14, 1633–1650, https://doi.org/10.5194/tc-14-1633-2020, https://doi.org/10.5194/tc-14-1633-2020, 2020
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In this research we present the results of our satellite analysis of a permafrost landscape and periglacial landforms in mountainous regions on the Tibetan Plateau. We study seasonal and multiannual surface displacement processes, such as the freezing and thawing of the ground, seasonally accelerated sliding on steep slopes, and continuous permafrost creep. This study is the first step of our goal to create an inventory of actively moving landforms within the Nyainqêntanglha range.
Andrew M. Cunliffe, George Tanski, Boris Radosavljevic, William F. Palmer, Torsten Sachs, Hugues Lantuit, Jeffrey T. Kerby, and Isla H. Myers-Smith
The Cryosphere, 13, 1513–1528, https://doi.org/10.5194/tc-13-1513-2019, https://doi.org/10.5194/tc-13-1513-2019, 2019
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Episodic changes of permafrost coastlines are poorly understood in the Arctic. By using drones, satellite images, and historic photos we surveyed a permafrost coastline on Qikiqtaruk – Herschel Island. We observed short-term coastline retreat of 14.5 m per year (2016–2017), exceeding long-term average rates of 2.2 m per year (1952–2017). Our study highlights the value of these tools to assess understudied episodic changes of eroding permafrost coastlines in the context of a warming Arctic.
Charles J. Abolt, Michael H. Young, Adam L. Atchley, and Cathy J. Wilson
The Cryosphere, 13, 237–245, https://doi.org/10.5194/tc-13-237-2019, https://doi.org/10.5194/tc-13-237-2019, 2019
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We present a workflow that uses a machine-learning algorithm known as a convolutional neural network (CNN) to rapidly delineate ice wedge polygons in high-resolution topographic datasets. Our workflow permits thorough assessments of polygonal microtopography at the kilometer scale or greater, which can improve understanding of landscape hydrology and carbon budgets. We demonstrate that a single CNN can be trained to delineate polygons with high accuracy in diverse tundra settings.
Yonghong Yi, John S. Kimball, Richard H. Chen, Mahta Moghaddam, and Charles E. Miller
The Cryosphere, 13, 197–218, https://doi.org/10.5194/tc-13-197-2019, https://doi.org/10.5194/tc-13-197-2019, 2019
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To better understand active-layer freezing process and its climate sensitivity, we developed a new 1 km snow data set for permafrost modeling and used the model simulations with multiple new in situ and P-band radar data sets to characterize the soil freeze onset and duration of zero curtain in Arctic Alaska. Results show that zero curtains of upper soils are primarily affected by early snow cover accumulation, while zero curtains of deeper soils are more closely related to maximum thaw depth.
Claire Bernard-Grand'Maison and Wayne Pollard
The Cryosphere, 12, 3589–3604, https://doi.org/10.5194/tc-12-3589-2018, https://doi.org/10.5194/tc-12-3589-2018, 2018
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This study provides a first approximation of the volume of ice in ice wedges, a ground-ice feature in permafrost for a High Arctic polar desert region. We demonstrate that Geographical Information System analyses can be used on satellite images to estimate ice wedge volume. We estimate that 3.81 % of the top 5.9 m of permafrost could be ice-wedge ice on the Fosheim Peninsula. In response to climate change, melting ice wedges will result in widespread terrain disturbance in this region.
Cited articles
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. a
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. a, b, c
Berardino, P., Fornaro, G., Lanari, R., and Sansosti, E.: A new algorithm for
surface deformation monitoring based on small baseline differential SAR
interferograms, IEEE T. Geosci. Remote, 40,
2375–2383, https://doi.org/10.1109/TGRS.2002.803792, 2002. a, b, c
Borge, A. F., Westermann, S., Solheim, I., and Etzelmüller, B.: Strong degradation of palsas and peat plateaus in northern Norway during the last 60 years, The Cryosphere, 11, 1–16, https://doi.org/10.5194/tc-11-1-2017, 2017. a
Box, J. E., Colgan, W. T., Christensen, T. R., Schmidt, N. M., Lund, M.,
Parmentier, F.-J. W., Brown, R., Bhatt, U. S., Euskirchen, E. S., Romanovsky,
V. E., Walsh, J. E., Overland, J. E., Wang, M., Corell, R. W., Meier, W. N.,
Wouters, B., Mernild, S., Mård, J., Pawlak, J., and Olsen, M. S.: Key
indicators of Arctic climate change: 1971–2017, Environ.
Res. Lett., 14, 045010, https://doi.org/10.1088/1748-9326/aafc1b, 2019. a
Burn, C. R.: Cryostratigraphy, paleogeography, and climate change during the
early Holocene warm interval, western Arctic coast, Canada, Can.
J. Earth Sci., 34, 912–925, https://doi.org/10.1139/e17-076, 1997. a
Chen, C. W. and Zebker, H. A.: Two-dimensional phase unwrapping with use of
statistical models for cost functions in nonlinear optimization, J. Opt. Soc.
Am. A, 18, 338–351, https://doi.org/10.1364/JOSAA.18.000338, 2001. a
Chen, J., Günther, F., Grosse, G., Liu, L., and Lin, H.: Sentinel-1
InSAR Measurements of Elevation Changes over Yedoma Uplands on
Sobo-Sise Island, Lena Delta, Remote Sensing, 10, 1152, https://doi.org/10.3390/rs10071152, 2018. a
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 Sens. Environ.,
248, 112007, https://doi.org/10.1016/j.rse.2020.112007, 2020. a, b
Connon, R., Devoie, É., Hayashi, M., Veness, T., and Quinton, W.: The
influence of shallow taliks on permafrost thaw and active layer dynamics in
subarctic Canada, J. Geophys. Res.-Earth, 123,
281–297, 2018. a
De Zan, F., Zonno, M., and Lopez-Dekker, P.: Phase Inconsistencies and
Multiple Scattering in SAR Interferometry, IEEE T. Geosci.
Remote, 53, 6608–6616, 2015. a
Dredge, L. A., Kerr, D. E., and Wolfe, S. A.: Surficial materials and related
ground ice conditions, Slave Province, N.W.T., Canada, Can.
J. Earth Sci., 36, 1227–1238, https://doi.org/10.1139/e98-087, 1999. a, b
Farquharson, L., Mann, D., Grosse, G., Jones, B., and Romanovsky, V.: Spatial
distribution of thermokarst terrain in Arctic Alaska, Geomorphology, 273,
116–133, https://doi.org/10.1016/j.geomorph.2016.08.007, 2016. a, b
French, H. and Shur, Y.: The principles of cryostratigraphy, Earth-Sci.
Rev., 101, 190–206,
https://doi.org/10.1016/j.earscirev.2010.04.002, 2010. a, b, c
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L.,
Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K.,
Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A.,
da Silva, A. M., Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D.,
Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M., Schubert,
S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective
Analysis for Research and Applications, Version 2 (MERRA-2), J. Climate, 30, 5419–5454, https://doi.org/10.1175/JCLI-D-16-0758.1, 2017. a
Global Modeling and Assimilation Office: MERRA-2 statD_2d_slv_Nx: 2d,
Daily, Aggregated Statistics, Single-Level, Assimilation, Single-Level
Diagnostics, Goddard Earth Sciences Data and Information Services Center,
https://doi.org/10.5067/9SC1VNTWGWV3, 2020. a, b
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. a
Heginbottom, J. A.: Permafrost mapping: a review, Prog. Phys.
Geog., 26, 623–642,
https://doi.org/10.1191/0309133302pp355ra, 2002. a, b, c
Iwahana, G., Uchida, M., Liu, L., Gong, W., Meyer, F. J., Guritz, R.,
Yamanokuchi, T., and Hinzman, L.: InSAR detection and field evidence for
thermokarst after a tundra wildfire, using ALOS-PALSAR, Remote Sensing, 8, 218, https://doi.org/10.3390/rs8030218, 2016. a, b
Jorgenson, J. C., Hoef, J. M. V., and Jorgenson, M. T.: Long-term recovery
patterns of arctic tundra after winter seismic exploration, Ecol.
Appl., 20, 205–221, https://doi.org/10.1890/08-1856.1,
2010. a
Jorgenson, M., Yoshikawa, K., Kanevskiy, M., Shur, Y., Romanovsky, V.,
Marchenko, S.and Grosse, G., Brown, J., and Jones, B.: Permafrost
characteristics of Alaska, in: Proceedings of the Ninth International
Conference on Permafrost, Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, Alaska, 121–122, 2008. a, b
Jorgenson, M. T., Shur, Y. L., and Pullman, E. R.: Abrupt increase in
permafrost degradation in Arctic Alaska, Geophys. Res. Lett.,
33, L02503, https://doi.org/10.1029/2005GL024960, 2006. a
Jorgenson, M. T., Romanovsky, V., Harden, J., Shur, Y., O’Donnell, J.,
Schuur, E. A. G., Kanevskiy, M., and Marchenko, S.: Resilience and
vulnerability of permafrost to climate change, Can. J. Forest
Res., 40, 1219–1236, https://doi.org/10.1139/X10-060, 2010. a, b, c
Jorgenson, M. T., Kanevskiy, M., Shur, Y., Moskalenko, N., Brown, D. R. N.,
Wickland, K., Striegl, R., and Koch, J.: Role of ground ice dynamics and
ecological feedbacks in recent ice wedge degradation and stabilization,
J. Geophys. Res.-Earth, 120, 2280–2297,
https://doi.org/10.1002/2015JF003602, 2015. a, b
Kanevskiy, M., Jorgenson, T., Shur, Y., O'Donnell, J. A., Harden, J. W.,
Zhuang, Q., and Fortier, D.: Cryostratigraphy and Permafrost Evolution in the
Lacustrine Lowlands of West-Central Alaska, Permafrost Periglac., 25, 14–34, https://doi.org/10.1002/ppp.1800, 2014. a
Kanevskiy, M., Shur, Y., Jorgenson, T., Brown, D. R., Moskalenko, N., Brown,
J., Walker, D. A., Raynolds, M. K., and Buchhorn, M.: Degradation and
stabilization of ice wedges: Implications for assessing risk of thermokarst
in northern Alaska, Geomorphology, 297, 20–42,
https://doi.org/10.1016/j.geomorph.2017.09.001, 2017. a, b, c
Kokelj, S. V. and Jorgenson, M. T.: Advances in Thermokarst Research,
Permafrost Periglac., 24, 108–119, https://doi.org/10.1002/ppp.1779,
2013. a, b
Kokelj, S. V., Lantz, T. C., Tunnicliffe, J., Segal, R., and Lacelle, D.:
Climate-driven thaw of permafrost preserved glacial landscapes, northwestern
Canada, Geology, 45, 371–374, https://doi.org/10.1130/G38626.1, 2017. a
Lewkowicz, A. G.: A solifluction meter for permafrost sites, Permafrost
Periglac., 3, 11–18, https://doi.org/10.1002/ppp.3430030103, 1992. a
Mackay, J. R.: The Growth of Pingos, Western Arctic Coast, Canada, Canadian
J. Earth Sci., 10, 979–1004, https://doi.org/10.1139/e73-086, 1973. a
Mackay, J. R.: Active layer slope movement in a continuous permafrost
environment, Garry Island, Northwest Territories, Canada, Canadian
J. Earth Sci., 18, 1666–1680, https://doi.org/10.1139/e81-154, 1981. a
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. a
Mackay, J. R.: Some observations on the growth and deformation of epigenetic,
syngenetic and anti-syngenetic ice wedges, Permafrost Periglac., 1, 15–29, https://doi.org/10.1002/ppp.3430010104, 1990. a
Matsuoka, N.: Solifluction rates, processes and landforms: a global review,
Earth-Sci. Rev., 55, 107–134,
https://doi.org/10.1016/S0012-8252(01)00057-5, 2001. a
Melvin, A. M., Larsen, P., Boehlert, B., Neumann, J. E., Chinowsky, P.,
Espinet, X., Martinich, J., Baumann, M. S., Rennels, L., Bothner, A.,
Nicolsky, D. J., and Marchenko, S. S.: Climate change damages to Alaska
public infrastructure and the economics of proactive adaptation, P.
Natl. Acad. Sci. USA, 114, E122–E131,
https://doi.org/10.1073/pnas.1611056113, 2017. a
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. a, b, c
O'Neill, H. B., Wolfe, S. A., and Duchesne, C.: New ground ice maps for Canada using a paleogeographic modelling approach, The Cryosphere, 13, 753–773, https://doi.org/10.5194/tc-13-753-2019, 2019. a, b
Osterkamp, T. E., Viereck, L., Shur, Y., Jorgenson, M. T., Racine, C., Doyle,
A., and Boone, R. D.: Observations of Thermokarst and Its Impact on Boreal
Forests in Alaska, U.S.A., Arct. Antarct. Alp. Res., 32,
303–315, 2000. a
Paul, J. R., Kokelj, S. V., and Baltzer, J. L.: Spatial and stratigraphic
variation of near-surface ground ice in discontinuous permafrost of the
Taiga Shield, Permafrost Periglac., 32, 3–18,
https://doi.org/10.1002/ppp.2085, 2021. a, b, c, d
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,
https://doi.org/10.1139/t80-059, 1980. a
Prowse, T. D., Furgal, C., Melling, H., and Smith, S. L.: Implications of
Climate Change for Northern Canada: The Physical Environment, AMBIO, 38, 266–271,
https://doi.org/10.1579/0044-7447-38.5.266, 2009. a
Reger, R. and Solie, D.: Reconnaissance interpretation of permafrost, Alaska
Highway corridor, Delta Junction to Dot Lake, Alaska: Preliminary
Interpretive Report, Tech. Rep. 2008-3C, State of Alaska, Department of
Natural Resources, Division of Geological & Geophysical Surveys,
https://doi.org/10.14509/17621, 2008. a, b, c, d, e
Rizzoli, P., Martone, M., Gonzalez, C., Wecklich, C., Borla Tridon, D.,
Bräutigam, B., Bachmann, M., Schulze, D., Fritz, T., Huber, M., Wessel, B.,
Krieger, G., Zink, M., and Moreira, A.: Generation and performance assessment
of the global TanDEM-X digital elevation model, ISPRS J.
Photogramm., 132, 119–139,
https://doi.org/10.1016/j.isprsjprs.2017.08.008, 2017. a
Robinson, S. D. and Pollard, W. H.: Massive ground ice within Eureka Sound
Bedrock, Ellesmere Island, Canada, in: Proceedings of the 7th
InternationalConference On Permafrost, Yellowknife, Canada, 1998. a
Romanovsky, V. E., Drozdov, D. S., Oberman, N. G., Malkova, G. V., Kholodov,
A. L., Marchenko, S. S., Moskalenko, N. G., Sergeev, D. O., Ukraintseva,
N. G., Abramov, A. A., Gilichinsky, D. A., and Vasiliev, A. A.: Thermal state
of permafrost in Russia, Permafrost Periglac., 21,
136–155, https://doi.org/10.1002/ppp.683, 2010. a
Roulet, N. T.: Surface Level and Water Table Fluctuations in a Subarctic Fen,
Arctic Alpine Res., 23, 303–310, https://doi.org/10.2307/1551608, 1991. a
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 Sens. Environ., 231, 111236, https://doi.org/10.1016/j.rse.2019.111236, 2019. a
Scheiber, R. and Moreira, A.: Coregistration of interferometric SAR images
using spectral diversity, IEEE T. Geosci. Remote,
38, 2179–2191, 2000. a
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, 034025, https://doi.org/10.1088/1748-9326/11/3/034025,
2016. a
Shiklomanov, N., Streletskiy, D., Nelson, F., Hollister, R., Romanovsky, V.,
Tweedie, C., Bockheim, J., and Brown, J.: Decadal variations of active-layer
thickness in moisture-controlled landscapes, Barrow, Alaska, J.
Geophys. Res.-Biogeo., 115, G00I04, https://doi.org/10.1029/2009JG001248, 2010.
a, b
Shiklomanov, N. I., Streletskiy, D. A., Little, J. D., and Nelson, F. E.:
Isotropic thaw subsidence in undisturbed permafrost landscapes, Geophys.
Res. Lett., 40, 6356–6361, https://doi.org/10.1002/2013GL058295, 2013. a
Shur, Y., Hinkel, K. M., and Nelson, F. E.: The transient layer: implications
for geocryology and climate-change science, Permafrost Periglac., 16, 5–17, https://doi.org/10.1002/ppp.518, 2005. a, b, c
Stephens, J. C., Allen Jr, L., and Chen, E.: Organic soil subsidence, Reviews
in Engineering Geology, 6, 107–122, 1984. a
Torres, R., Snoeij, P., Geudtner, D., Bibby, D., Davidson, M., Attema, E.,
Potin, P., Rommen, B., Floury, N., Brown, M., Traver, I. N., Deghaye, P.,
Duesmann, B., Rosich, B., Miranda, N., Bruno, C., L'Abbate, M., Croci, R.,
Pietropaolo, A., Huchler, M., and Rostan, F.: GMES Sentinel-1 mission,
Remote Sens. Environ., 120, 9–24,
https://doi.org/10.1016/j.rse.2011.05.028, 2012. a, b, c
Tough, R., Blacknell, D., and Quegan, S.: A statistical description of
polarimetric and interferometric synthetic aperture radar, Proc. R. Soc.
Lond. A, 449, 567–589, 1995. a
Wang, L., Marzahn, P., Bernier, M., and Ludwig, R.: Sentinel-1 InSAR
measurements of deformation over discontinuous permafrost terrain, Northern
Quebec, Canada, Remote Sens. Environ., 248, 111965,
https://doi.org/10.1016/j.rse.2020.111965, 2020. a, b
Zhang, J., Liu, L., and Hu, Y.: Global Positioning System interferometric reflectometry (GPS-IR) measurements of ground surface elevation changes in permafrost areas in northern Canada, The Cryosphere, 14, 1875–1888, https://doi.org/10.5194/tc-14-1875-2020, 2020. a
Zhang, W., Witharana, C., Liljedahl, A. K., and Kanevskiy, M.: Deep
Convolutional Neural Networks for Automated Characterization of Arctic
Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery, Remote
Sensing, 10, 1487, https://doi.org/10.3390/rs10091487, 2018. a
Zwieback, S.: Kivalina ground ice map (Version 1.0), Zenodo,
https://doi.org/10.5281/zenodo.4072407, 2020a. a, b
Zwieback, S.: Kivalina subsidence observations (Version 1.0), Zenodo,
https://doi.org/10.5281/zenodo.4072257, 2020b. a
Zwieback, S. and Hajnsek, I.: Influence of vegetation growth on the
polarimetric DInSAR phase diversity – implications for deformation
studies, IEEE T. Geosci. Remote, 54, 3070–3082, 2016. a
Zwieback, S., Hensley, S., and Hajnsek, I.: Soil Moisture Estimation Using
Differential Radar Interferometry: Toward Separating Soil Moisture and
Displacements, IEEE T. Geosci. Remote, 55,
5069–5083, https://doi.org/10.1109/TGRS.2017.2702099, 2017. a
Short summary
Thawing of ice-rich permafrost leads to subsidence and slumping, which can compromise Arctic infrastructure. However, we lack fine-scale maps of permafrost ground ice, chiefly because it is usually invisible at the surface. We show that subsidence at the end of summer serves as a
fingerprintwith which near-surface permafrost ground ice can be identified. As this can be done with satellite data, this method may help improve ground ice maps and thus sustainably steward the Arctic.
Thawing of ice-rich permafrost leads to subsidence and slumping, which can compromise Arctic...
