Articles | Volume 19, issue 12
https://doi.org/10.5194/tc-19-6927-2025
© 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/tc-19-6927-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Dec 2025
Research article |
| 19 Dec 2025
| 19 Dec 2025
An integrated multi-instrument methodology for studying marginal ice zone dynamics and wave-ice interactions
Sébastien Kuchly
PMMH-ESPCI, Paris, France
Baptiste Auvity
PMMH-ESPCI, Paris, France
Nicolas Mokus
Institut des Sciences de la Terre, Université Grenoble Alpes, Grenoble, France
Matilde Bureau
PMMH-ESPCI, Paris, France
Paul Nicot
Institut des sciences de la mer, Université du Québec à Rimouski, Québec G5L 3A1, Canada
Amaury Fourgeaud
PMMH-ESPCI, Paris, France
Véronique Dansereau
Institut des Sciences de la Terre, Université Grenoble Alpes, Grenoble, France
Antonin Eddi
PMMH-ESPCI, Paris, France
Stéphane Perrard
PMMH-ESPCI, Paris, France
Dany Dumont
Institut des sciences de la mer, Université du Québec à Rimouski, Québec G5L 3A1, Canada
Ludovic Moreau
CORRESPONDING AUTHOR
Institut des Sciences de la Terre, Université Grenoble Alpes, Grenoble, France
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The Cryosphere, 18, 2381–2406, https://doi.org/10.5194/tc-18-2381-2024, https://doi.org/10.5194/tc-18-2381-2024, 2024
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Thomas Richter, Véronique Dansereau, Christian Lessig, and Piotr Minakowski
Geosci. Model Dev., 16, 3907–3926, https://doi.org/10.5194/gmd-16-3907-2023, https://doi.org/10.5194/gmd-16-3907-2023, 2023
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The Cryosphere, 16, 1963–1977, https://doi.org/10.5194/tc-16-1963-2022, https://doi.org/10.5194/tc-16-1963-2022, 2022
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In some shallow seas, grounded ice ridges contribute to stabilizing and maintaining a landfast ice cover. A scheme has already proposed where the keel thickness varies linearly with the mean thickness. Here, we extend the approach by taking into account the ice thickness and bathymetry distributions. The probabilistic approach shows a reasonably good agreement with observations and previous grounding scheme while potentially offering more physical insights into the formation of landfast ice.
Gwenaëlle Gremion, Louis-Philippe Nadeau, Christiane Dufresne, Irene R. Schloss, Philippe Archambault, and Dany Dumont
Geosci. Model Dev., 14, 4535–4554, https://doi.org/10.5194/gmd-14-4535-2021, https://doi.org/10.5194/gmd-14-4535-2021, 2021
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An accurate description of detritic organic particles is key to improving estimations of carbon export into the ocean abyss in ocean general circulation models. Yet, most parametrization are numerically impractical due to the required number of tracers needed to resolve the particle size spectrum. Here, a new parametrization that aims to minimize the tracers number while accurately describing the particles dynamics is developed and tested in a series of idealized numerical experiments.
Cited articles
Aksenov, Y., Popova, E. E., Yool, A., Nurser, A. G., Williams, T. D., Bertino, L., and Bergh, J.: On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice, Marine Policy, 75, 300–317, https://doi.org/10.1016/j.marpol.2015.12.027, 2017. a
Anderson, D.: Preliminary results and review of sea ice elasticity and related studies, Transactions of the Engineering Institute of Canada, 2, 2–8, 1958. a
Ardhuin, F., Collard, F., Chapron, B., Girard‐Ardhuin, F., Guitton, G., Mouche, A., and Stopa, J. E.: Estimates of ocean wave heights and attenuation in sea ice using the SAR wave mode on Sentinel‐1A, Geophysical Research Letters, 42, 2317–2325, https://doi.org/10.1002/2014GL062940, 2015. a
Ardyna, M., Babin, M., Gosselin, M., Devred, E., Rainville, L., and Tremblay, J.-É.: Recent Arctic Ocean sea ice loss triggers novel fall phytoplankton blooms, Geophysical Research Letters, 41, 6207–6212, https://doi.org/10.1002/2014GL061047, 2014. a
Bouguet, J.-Y.: Camera Calibration Toolbox for Matlab, https://doi.org/10.22002/D1.20164, 2022. a
Comiso, J. C., Parkinson, C. L., Gersten, R., and Stock, L.: Accelerated decline in the Arctic sea ice cover, Geophysical Research Letters, 35, https://doi.org/10.1029/2007GL031972, 2008. a
Dawson‐Howe, K. M. and Vernon, D.: Simple pinhole camera calibration, Int. J. Imaging Syst. Tech., 5, 1–6, https://doi.org/10.1002/ima.1850050102, 1994. a
Dumas-Lefebvre, E. and Dumont, D.: Aerial observations of sea ice breakup by ship waves, The Cryosphere, 17, 827–842, https://doi.org/10.5194/tc-17-827-2023, 2023a. a
Dumas-Lefebvre, E. and Dumont, D.: Aerial observations of sea ice breakup by ship waves, The Cryosphere, 17, 827–842, https://doi.org/10.5194/tc-17-827-2023, 2023b. a
Dumont, D.: Marginal ice zone dynamics: history, definitions and research perspectives, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380, 20210253, https://doi.org/10.1098/rsta.2021.0253, 2022. a
Gaffey, C. and Bhardwaj, A.: Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects, Remote Sensing, 12, 948, https://doi.org/10.3390/rs12060948, 2020. a
Gupta, M., Gürcan, E., and Thompson, A. F.: Eddy-Induced Dispersion of Sea Ice Floes at the Marginal Ice Zone, Geophysical Research Letters, 51, e2023GL105656, https://doi.org/10.1029/2023GL105656, 2024. a
Horvat, C.: Floes, the marginal ice zone and coupled wave-sea-ice feedbacks, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380, https://doi.org/10.1098/rsta.2021.0252, 2022. a
Horvat, C., Tziperman, E., and Campin, J.-M.: Interaction of sea ice floe size, ocean eddies, and sea ice melting, Geophysical Research Letters, 43, 8083–8090, https://doi.org/10.1002/2016GL069742, 2016. a
Hunkins, K.: Seismic studies of sea ice, Journal of Geophysical Research, 65, 3459–3472, 1960. a
Kern, S., Khvorostovsky, K., and Skourup, H.: D4.1 Product Validation and Intercomparison Report (PVIR-SIT) – SICCI-PVIR-SIT, Tech. rep., Tech. rep., European Space Agency Sea Ice Climate Change Initiative, 2018. a
Kim, Y.-H., Min, S.-K., Gillett, N. P., Notz, D., and Malinina, E.: Observationally-constrained projections of an ice-free Arctic even under a low emission scenario, Nature Communications, 14, 3139, https://doi.org/10.1038/s41467-023-38511-8, 2023. a
Martin, S. and Kauffman, P.: A Field and Laboratory Study of Wave Damping by Grease Ice, J. Glaciol., 27, 283–313, https://doi.org/10.3189/S0022143000015392, 1981. a
Minonzio, J.-G., Talmant, M., and Laugier, P.: Guided wave phase velocity measurement using multi-emitter and multi-receiver arrays in the axial transmission configuration, The Journal of the Acoustical Society of America, 127, 2913–2919, 2010. a
Moreau, L., Minonzio, J.-G., Foiret, J., Bossy, E., Talmant, M., and Laugier, P.: Accurate measurement of guided modes in a plate using a bidirectional approach, The Journal of the Acoustical Society of America, 135, EL15–EL21, 2014. a
Moreau, L., Boué, P., Serripierri, A., Weiss, J., Hollis, D., Pondaven, I., Vial, B., Garambois, S., Larose, É., Helmstetter, A., Stehly, L., Hillers, G., and Gilbert, O.: Sea ice thickness and elastic properties from the analysis of multimodal guided wave propagation measured with a passive seismic array, Journal of Geophysical Research: Oceans, 125, e2019JC015709, https://doi.org/10.1029/2019JC015709, 2020. a, b
Nziengui-Bâ, D., Coutant, O., Moreau, L., and Boué, P.: Measuring the thickness and Young's modulus of the ice pack with DAS, a test case on a frozen mountain lake, Geophysical Journal International, 233, 1166–1177, https://doi.org/10.1093/gji/ggac504, 2022. a
Pan, B., Qian, K., Xie, H., and Asundi, A.: Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review, Measurement Science and Technology, 20, 062001, https://doi.org/10.1088/0957-0233/20/6/062001, 2009. a
Parry, M., Canziani, O., Palutikof, J., van der Linden, P., and Hanson, C.: IPCC, 2007: Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Tech. rep., Intergovernmental Panel on Climate Change, 2007. a
Perrard, S., Auvity, B., Kuchly, S., Mokus, N., Nicot, P., Fourgeaud, A., Bureau, M., Dansereau, V., Dumont, D., Eddi, A., And Moreau, L.: Dataset for “An integrated multi-instrument methodology for studying marginal ice zone dynamics and wave-ice interactions”, Recherche Data Gouv, V3 [data set and code], https://doi.org/10.57745/OUWL0Z, 2025. a, b
Rabault, J., Taelman, C., Idžanović, M., Hope, G., Nose, T., Kristoffersen, Y., Jensen, A., Breivik, Ø., Bryhni, H. T., Hoppmann, M., Demchev, D., Korosov, A., Johansson, M., Eltoft, T., Dagestad, K.-F., Röhrs, J., Eriksson, L., Moro, M. D., Rikardsen, E. S. U., Waseda, T., Kodaira, T., Lohse, J., Desjonquères, T., Olsen, S., Gundersen, O., de Aguiar, V. C. M., Karlsen, T., Babanin, A., Voermans, J., Park, J.-W., and Müller, M.: A position and wave spectra dataset of Marginal Ice Zone dynamics collected around Svalbard in 2022 and 2023, Scientific Data, 11, 1417, https://doi.org/10.1038/s41597-024-04281-1, 2024. a
Rolph, R. J., Feltham, D. L., and Schröder, D.: Changes of the Arctic marginal ice zone during the satellite era, The Cryosphere, 14, 1971–1984, https://doi.org/10.5194/tc-14-1971-2020, 2020. a
Romeyn, R., Hanssen, A., Ruud, B. O., and Johansen, T. A.: Sea ice thickness from air-coupled flexural waves, The Cryosphere, 15, 2939–2955, https://doi.org/10.5194/tc-15-2939-2021, 2021. a
Rost, S. and Thomas, C.: Array seismology: Methods and applications, Reviews of geophysics, 40, 2–1, https://doi.org/10.1029/2000RG000100, 2002. a
Serripierri, A., Moreau, L., Boue, P., Weiss, J., and Roux, P.: Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard, The Cryosphere, 16, 2527–2543, https://doi.org/10.5194/tc-16-2527-2022, 2022. a, b, c
Song, L., Zhao, X., Wu, Y., Gong, J., and Li, B.: Assessing Arctic marginal ice zone dynamics from 1979 to 2023: insights into long-term variability and morphological changes, Environmental Research Letters, 20, 034032, https://doi.org/10.1088/1748-9326/adb508, 2025. a
Squire, V. A., Hosking, R. J., Kerr, A. J., and Langhorne, P. J.: Moving Loads on Ice Plates, vol. Solid Mechanics and its Applications Vol. 45, Kluwer Academic Press, Dordrecht, the Netherlands, https://doi.org/10.1007/978-94-009-1649-4, 1996. a
Staacks, S., Hütz, S., Heinke, H., and Stampfer, C.: Advanced tools for smartphone-based experiments: phyphox, Physics Education, 53, https://doi.org/10.1088/1361-6552/aac05e, 2018. a
Stroeve, J. and Notz, D.: Changing state of Arctic sea ice across all seasons, Environmental Research Letters, 13, 103001, https://doi.org/10.1088/1748-9326/aade56, 2018. a
Stroeve, J. C., Serreze, M. C., Holland, M. M., Kay, J. E., Malanik, J., and Barrett, A. P.: The Arctic's rapidly shrinking sea ice cover: a research synthesis, Climatic Change, 110, 1005–1027, https://doi.org/10.1007/s10584-011-0101-1, 2012. a
Sutherland, P. and Gascard, J.: Airborne remote sensing of ocean wave directional wavenumber spectra in the marginal ice zone, Geophysical Research Letters, 43, 5151–5159, https://doi.org/10.1002/2016GL067713, 2016. a
Taylor, M. H., Losch, M., and Bracher, A.: On the drivers of phytoplankton blooms in the Antarctic marginal ice zone: A modeling approach, Journal of Geophysical Research: Oceans, 118, 63–75, https://doi.org/10.1029/2012JC008418, 2013. a
Thielicke, W. and Stamhuis, E. J.: PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB, Journal of Open Research Software, 2, https://doi.org/10.5334/jors.bl, 2014. a
Thomson, J.: Wave propagation in the marginal ice zone: connections and feedback mechanisms within the air–ice–ocean system, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380, 20210251, https://doi.org/10.1098/rsta.2021.0251, 2022. a
Toyota, T., Takatsuji, S., and Nakayama, M.: Characteristics of sea ice floe size distribution in the seasonal ice zone, Geophysical Research Letters, 33, https://doi.org/10.1029/2005GL024556, 2006. a
Veras Guimarães, P., Ardhuin, F., Sutherland, P., Accensi, M., Hamon, M., Pérignon, Y., Thomson, J., Benetazzo, A., and Ferrant, P.: A surface kinematics buoy (SKIB) for wave–current interaction studies, Ocean Science, 14, 1449–1460, https://doi.org/10.5194/os-14-1449-2018, 2018. a, b
Voermans, J. J., Rabault, J., Marchenko, A., Nose, T., Waseda, T., and Babanin, A. V.: Estimating the elastic modulus of landfast ice from wave observations, Journal of Glaciology, 69, 1823–1833, https://doi.org/10.1017/jog.2023.63, 2023. a
Wadhams, P.: Airborne laser profiling of swell in an open ice field, J. Geophys. Res., 80, 4520–4528, https://doi.org/10.1029/JC080i033p04520, 1975. a
Zhang, J., Mokus, N., Casoli, J., Eddi, A., and Perrard, S.: Distributed network of smartphone sensors: a new tool for scientific field measurements, arXiv [preprint], https://doi.org/10.48550/arXiv.2501.04886, 2025. a
Zhang, Q. and Skjetne, R.: Image Processing for Identification of Sea-Ice Floes and the Floe Size Distributions, IEEE Trans. Geosci. Remote Sensing, 53, 2913–2924, https://doi.org/10.1109/TGRS.2014.2366640, 2015. a
Short summary
During February and March 2024, we realized a multi-instrument field campaign in the St. Lawrence Estuary, to capture swell-driven sea ice fragmentation. The dataset combines geophones, wave buoys, smartphones, and video recordings with drones, to study wave-ice interactions under natural conditions. It enables analysis of ice thickness, wave properties, and ice motion. Preliminary results show strong consistency across instruments, offering a valuable resource to improve sea ice models.
During February and March 2024, we realized a multi-instrument field campaign in the St....
