Preprints
https://doi.org/10.5194/egusphere-2026-3615
https://doi.org/10.5194/egusphere-2026-3615
13 Jul 2026
 | 13 Jul 2026
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Altimetric Ku-band Radar Observations of Snow on Sea Ice Simulated with SMRT

Julien Meloche, Melody Sandells, Henning Löwe, Nick Rutter, Ghislain Picard, Richard Essery, Randall K. Scharien, Alexandre Langlois, Matthias Jaggi, Josh King, Peter Toose, Michele Scagliola, Jerome Bouffard, Alessandro Di Bella, and Christian Haas

Abstract. Radar altimetry provides sea ice thickness estimates for polar region. However, uncertainty in the scattering horizon used to retrieve sea ice thickness arises from interactions between the emitted signal and snow cover on the ice surface. Therefore, improving our knowledge on electromagnetic waves scattering with the snowpack and ice is necessary to retrieve sea ice thickness accurately. The Snow Microwave Radiative Transfer (SMRT) model was used to simulate the low-resolution altimeter waveform echo from snow-covered sea ice, using in-situ measurements as input. In-situ measurements from four field campaigns in three distinct Canadian Arctic regions includes temperature, salinity, density, specific surface area, microstructure from X-ray tomography and surface roughness measurements using structure from motion photogrammetry. Evaluation of SMRT in altimeter mode was performed against CryoSat-2 waveform data in pseudo-low-resolution mode. Simulated and observed waveforms showed good agreement, although it was necessary to optimize the snow and sea ice roughness. In addition, simulations of backscatter in low-resolution mode in preparation for the European Space Agency’s CRISTAL mission indicated that the dominant return comes from the ice surface at Ku-band and from the snow surface at Ka-band for smooth first-year ice. However, for rougher multi-year ice, the main scattering comes from the snow surface for both Ku and Ka-band. These findings depend on the parameterisation of the roughness. This work offers insight into the dominant surface return for Ku and Ka and paves the way towards a physical retracker using SMRT to retrieve snow depth and sea ice thickness for radar altimeter missions.

Competing interests: At least one of the (co-)authors is a member of the editorial board of The Cryosphere.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Julien Meloche, Melody Sandells, Henning Löwe, Nick Rutter, Ghislain Picard, Richard Essery, Randall K. Scharien, Alexandre Langlois, Matthias Jaggi, Josh King, Peter Toose, Michele Scagliola, Jerome Bouffard, Alessandro Di Bella, and Christian Haas

Status: open (until 24 Aug 2026)

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Julien Meloche, Melody Sandells, Henning Löwe, Nick Rutter, Ghislain Picard, Richard Essery, Randall K. Scharien, Alexandre Langlois, Matthias Jaggi, Josh King, Peter Toose, Michele Scagliola, Jerome Bouffard, Alessandro Di Bella, and Christian Haas
Julien Meloche, Melody Sandells, Henning Löwe, Nick Rutter, Ghislain Picard, Richard Essery, Randall K. Scharien, Alexandre Langlois, Matthias Jaggi, Josh King, Peter Toose, Michele Scagliola, Jerome Bouffard, Alessandro Di Bella, and Christian Haas
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Latest update: 13 Jul 2026
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Short summary
Sea ice thickness is essential for climate studies. Radar altimetry has provided sea ice thickness measurements, but uncertainty arises from the interaction of the signal with the snow cover. Therefore, modelling the signal interaction with the snow is necessary to improve retrieval. A radar model was used to simulate the radar signal from the snow-covered sea ice. This work paved the way to improved physical algorithms to retrieve snow depth and sea ice thickness for radar altimeter missions.
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