The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 1
Articles | Volume 18, issue 1
https://doi.org/10.5194/tc-18-341-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-341-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 1
Research article
 | 
19 Jan 2024
Research article |  | 19 Jan 2024

A method for constructing directional surface wave spectra from ICESat-2 altimetry

Momme C. Hell and Christopher Horvat

Supplement

https://doi.org/10.5194/tc-18-341-2024-supplement

Data sets

Data for Directional Surface Wave Spectra And Sea Ice Structure from ICEsat-2 Altimetry (Version v001) M. Hell https://doi.org/10.5281/zenodo.6928350

ATLAS/ICESat-2 L2A Global Geolocated Photon Data, Version 5 T. A. Neumann et al. https://doi.org/10.5067/ATLAS/ATL03.005

ATLAS/ICESat-2 L3A Sea Ice Height, Version 3 R. Kwok et al. https://doi.org/10.5067/ATLAS/ATL07.003

Model code and software

Code for Directional Surface Wave Spectra And Sea Ice Structure from ICEsat-2 Altimetry without data M. Hell https://doi.org/10.5281/zenodo.6908645

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Short summary
Sea ice is heavily impacted by waves on its margins, and we currently do not have routine observations of waves in sea ice. Here we propose two methods to separate the surface waves from the sea-ice height observations along each ICESat-2 track using machine learning. Both methods together allow us to follow changes in the wave height through the sea ice.
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