Preprints
https://doi.org/10.5194/egusphere-2025-3304
https://doi.org/10.5194/egusphere-2025-3304
29 Jul 2025
 | 29 Jul 2025

An integrated multi-instrument methodology for studying marginal ice zone dynamics and wave-ice interactions

Sebastien Kuchly, Baptiste Auvity, Nicolas Mokus, Matilde Bureau, Paul Nicot, Amaury Fourgeaud, Véronique Dansereau, Antonin Eddi, Stéphane Perrard, Dany Dumont, and Ludovic Moreau

Abstract. Wave-driven fragmentation is the key mechanism shaping the Marginal Ice Zone (MIZ). Capturing this process is therefore essential for improving sea ice models, which currently do not fully capture the complex interactions between the forcing imposed by waves and the nonlinear dynamics of the resulting sea ice breakup and deformation. To investigate these interactions, we introduce a comprehensive multi-instrument dataset from a field campaign in the MIZ of the St. Lawrence Estuary, Canada, designed to characterize wave propagation and mechanical properties of sea ice under natural forcing conditions. The dataset integrates synchronized measurements from geophone arrays, wave buoys, smartphones configured as motion sensors, and unmanned aerial vehicles (UAVs), all collected during coordinated deployments across diverse ice types and sea states.

Seismic data, recorded with geophone arrays, enable estimation of the ice thickness and elastic properties via active and passive wavefield analyses. Concurrently, wave buoys and smartphones capture ocean wave characteristics including amplitude, wavelength, and attenuation near ice edges. UAV imagery is processed with advanced methods to detect vertical ice displacements with sub-centimetre sensitivity, allowing extraction of wave dispersion relations in different ice conditions. Preliminary analyses demonstrate strong agreement between independent measurement methods, validating the dataset’s quality. This multi-sensor approach offers unique opportunities to improve our understanding of wave-ice interactions, wave attenuation, and fracture dynamics in situ, thus offering a valuable resource for the sea ice and oceanographic research community to gain insight in wave-induced ice break-up mechanisms under natural conditions.

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Sebastien Kuchly, Baptiste Auvity, Nicolas Mokus, Matilde Bureau, Paul Nicot, Amaury Fourgeaud, Véronique Dansereau, Antonin Eddi, Stéphane Perrard, Dany Dumont, and Ludovic Moreau

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-3304', Anonymous Referee #1, 01 Sep 2025
  • RC2: 'Comment on egusphere-2025-3304', Anonymous Referee #2, 04 Sep 2025
Sebastien Kuchly, Baptiste Auvity, Nicolas Mokus, Matilde Bureau, Paul Nicot, Amaury Fourgeaud, Véronique Dansereau, Antonin Eddi, Stéphane Perrard, Dany Dumont, and Ludovic Moreau

Data sets

Dataset for "An integrated multi-instrument methodology for studying marginal ice zone dynamics and wave-ice interactions" Sebastien Kuchly, Baptiste Auvity, Nicolas Mokus, Matilde Bureau, Paul Nicot, Amaury Fourgeaud, Véronique Dansereau, Antonin Eddi, Stéphane Perrard, Dany Dumont, and Ludovic Moreau https://doi.org/10.57745/OUWL0Z

Model code and software

Icewave Sebastien Kuchly, Baptiste Auvity, Antonin Eddi, Stéphane Perrard, Dany Dumont, and Ludovic Moreau https://github.com/Turbotice/icewave

Sebastien Kuchly, Baptiste Auvity, Nicolas Mokus, Matilde Bureau, Paul Nicot, Amaury Fourgeaud, Véronique Dansereau, Antonin Eddi, Stéphane Perrard, Dany Dumont, and Ludovic Moreau

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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.
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