Articles | Volume 18, issue 7
https://doi.org/10.5194/tc-18-2991-2024
https://doi.org/10.5194/tc-18-2991-2024
Research article
 | 
02 Jul 2024
Research article |  | 02 Jul 2024

Sea ice melt pond bathymetry reconstructed from aerial photographs using photogrammetry: a new method applied to MOSAiC data

Niels Fuchs, Luisa von Albedyll, Gerit Birnbaum, Felix Linhardt, Natascha Oppelt, and Christian Haas

Data sets

Melt pond bathymetry of the MOSAiC floe derived by photogrammetry - spatially fully resolved pond depth maps of an Arctic sea ice floe Niels Fuchs and Gerit Birnbaum https://doi.org/10.1594/PANGAEA.964520

Aerial images of sea ice surfaces recorded for the project TEMPO joining PS106 campaigns PASCAL and SiPCA north of Svalbard in May/June/July 2017 Niels Fuchs and Gerit Birnbaum https://doi.org/10.1594/PANGAEA.927787

Model code and software

PASTA-ice Github Repository https://github.com/nielsfuchs/pasta_ice (v2023.01) Niels Fuchs https://doi.org/10.5281/zenodo.7548469

Video supplement

Pond bathymetry tour Niels Fuchs https://nielsfuchs.github.io/egu2021_pond_bathymetry_tour/

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Short summary
Melt ponds are key components of the Arctic sea ice system, yet methods to derive comprehensive pond depth data are missing. We present a shallow-water bathymetry retrieval to derive this elementary pond property at high spatial resolution from aerial images. The retrieval method is presented in a user-friendly way to facilitate replication. Furthermore, we provide pond properties on the MOSAiC expedition floe, giving insights into the three-dimensional pond evolution before and after drainage.