Articles | Volume 16, issue 10
https://doi.org/10.5194/tc-16-4423-2022
https://doi.org/10.5194/tc-16-4423-2022
Research article
 | 
20 Oct 2022
Research article |  | 20 Oct 2022

Exploring the capabilities of electrical resistivity tomography to study subsea permafrost

Mauricio Arboleda-Zapata, Michael Angelopoulos, Pier Paul Overduin, Guido Grosse, Benjamin M. Jones, and Jens Tronicke

Related authors

A new habitat map of the Lena Delta in Arctic Siberia based on field and remote sensing datasets
Simeon Lisovski, Alexandra Runge, Iuliia Shevtsova, Nele Landgraf, Anne Morgenstern, Ronald Reagan Okoth, Matthias Fuchs, Nikolay Lashchinskiy, Carl Stadie, Alison Beamish, Ulrike Herzschuh, Guido Grosse, and Birgit Heim
Earth Syst. Sci. Data, 17, 1707–1730, https://doi.org/10.5194/essd-17-1707-2025,https://doi.org/10.5194/essd-17-1707-2025, 2025
Short summary
Rising Arctic seas and thawing permafrost: uncovering the carbon cycle impact in a thermokarst lagoon system in the outer Mackenzie Delta, Canada
Maren Jenrich, Juliane Wolter, Susanne Liebner, Christian Knoblauch, Guido Grosse, Fiona Giebeler, Dustin Whalen, and Jens Strauss
Biogeosciences, 22, 2069–2086, https://doi.org/10.5194/bg-22-2069-2025,https://doi.org/10.5194/bg-22-2069-2025, 2025
Short summary
Mapping subsea permafrost around Tuktoyaktuk Island (Northwest Territories, Canada) using electrical resistivity tomography
Ephraim Erkens, Michael Angelopoulos, Jens Tronicke, Scott R. Dallimore, Dustin Whalen, Julia Boike, and Pier Paul Overduin
The Cryosphere, 19, 997–1012, https://doi.org/10.5194/tc-19-997-2025,https://doi.org/10.5194/tc-19-997-2025, 2025
Short summary
Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program
Bennet Juhls, Anne Morgenstern, Jens Hölemann, Antje Eulenburg, Birgit Heim, Frederieke Miesner, Hendrik Grotheer, Gesine Mollenhauer, Hanno Meyer, Ephraim Erkens, Felica Yara Gehde, Sofia Antonova, Sergey Chalov, Maria Tereshina, Oxana Erina, Evgeniya Fingert, Ekaterina Abramova, Tina Sanders, Liudmila Lebedeva, Nikolai Torgovkin, Georgii Maksimov, Vasily Povazhnyi, Rafael Gonçalves-Araujo, Urban Wünsch, Antonina Chetverova, Sophie Opfergelt, and Pier Paul Overduin
Earth Syst. Sci. Data, 17, 1–28, https://doi.org/10.5194/essd-17-1-2025,https://doi.org/10.5194/essd-17-1-2025, 2025
Short summary
Very high resolution aerial image orthomosaics, point clouds, and elevation datasets of select permafrost landscapes in Alaska and northwestern Canada
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
Earth Syst. Sci. Data, 16, 5767–5798, https://doi.org/10.5194/essd-16-5767-2024,https://doi.org/10.5194/essd-16-5767-2024, 2024
Short summary

Related subject area

Discipline: Sea ice | Subject: Numerical Modelling
A hybrid ice-mélange model based on particle and continuum methods
Saskia Kahl, Carolin Mehlmann, and Dirk Notz
The Cryosphere, 19, 129–141, https://doi.org/10.5194/tc-19-129-2025,https://doi.org/10.5194/tc-19-129-2025, 2025
Short summary
How many parameters are needed to represent polar sea ice surface patterns and heterogeneity?
Joseph Fogarty, Elie Bou-Zeid, Mitchell Bushuk, and Linette Boisvert
The Cryosphere, 18, 4335–4354, https://doi.org/10.5194/tc-18-4335-2024,https://doi.org/10.5194/tc-18-4335-2024, 2024
Short summary
Exploring non-Gaussian sea ice characteristics via observing system simulation experiments
Christopher Riedel and Jeffrey Anderson
The Cryosphere, 18, 2875–2896, https://doi.org/10.5194/tc-18-2875-2024,https://doi.org/10.5194/tc-18-2875-2024, 2024
Short summary
Past and future of the Arctic sea ice in High-Resolution Model Intercomparison Project (HighResMIP) climate models
Julia Selivanova, Doroteaciro Iovino, and Francesco Cocetta
The Cryosphere, 18, 2739–2763, https://doi.org/10.5194/tc-18-2739-2024,https://doi.org/10.5194/tc-18-2739-2024, 2024
Short summary
Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic
Charlotte Durand, Tobias Sebastian Finn, Alban Farchi, Marc Bocquet, Guillaume Boutin, and Einar Ólason
The Cryosphere, 18, 1791–1815, https://doi.org/10.5194/tc-18-1791-2024,https://doi.org/10.5194/tc-18-1791-2024, 2024
Short summary

Cited articles

Akça, I. and Basokur, A. T.: Extraction of structure-based geoelectric models by hybrid genetic algorithms, Geophysics, 75, F15–F22, https://doi.org/10.1190/1.3273851, 2010. a, b
Angelopoulos, M.: Mapping subsea permafrost with electrical resistivity surveys, Nature Reviews Earth & Environment, 3, 6–6, https://doi.org/10.1038/s43017-021-00258-5, 2022. a
Angelopoulos, M., Westermann, S., Overduin, P. P., Faguet, A., Olenchenko, V., Grosse, G., and Grigoriev, M. N.: Conductivity, temperature and depth (CTD), snow and ice thickess and apparent resisitivity on the Bykovsky Peninsula, Lena Delta, in April and July 2017, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.895887, 2018. a
Angelopoulos, M., Westermann, S., Overduin, P. P., Faguet, A., Olenchenko, V., Grosse, G., and Grigoriev, M. N.: Heat and Salt Flow in Subsea Permafrost Modeled with CryoGRID2, J. Geophys. Res.-Earth, 124, 920–937, https://doi.org/10.1029/2018JF004823, 2019. a, b, c, d
Angelopoulos, M., Overduin, P. P., Miesner, F., Grigoriev, M. N., and Vasiliev, A. A.: Recent advances in the study of Arctic submarine permafrost, Permafrost Periglac., 31, 442–453, https://doi.org/10.1002/ppp.2061, 2020a. a, b
Download
Short summary
We demonstrate how we can reliably estimate the thawed–frozen permafrost interface with its associated uncertainties in subsea permafrost environments using 2D electrical resistivity tomography (ERT) data. In addition, we show how further analyses considering 1D inversion and sensitivity assessments can help quantify and better understand 2D ERT inversion results. Our results illustrate the capabilities of the ERT method to get insights into the development of the subsea permafrost.
Share