Articles | Volume 19, issue 1
https://doi.org/10.5194/tc-19-37-2025
https://doi.org/10.5194/tc-19-37-2025
Research article
 | 
08 Jan 2025
Research article |  | 08 Jan 2025

Machine learning of Antarctic firn density by combining radiometer and scatterometer remote-sensing data

Weiran Li, Sanne B. M. Veldhuijsen, and Stef Lhermitte

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Latest update: 01 Apr 2025
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Short summary
This study used a machine learning approach to estimate the densities over the Antarctic Ice Sheet, particularly in the areas where the snow is usually dry. The motivation is to establish a link between satellite parameters to snow densities, as measurements are difficult for people to take on site. It provides valuable insights into the complexities of the relationship between satellite parameters and firn density and provides potential for further studies.
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