Articles | Volume 15, issue 13
https://doi.org/10.5194/amt-15-4001-2022
https://doi.org/10.5194/amt-15-4001-2022
Research article
 | 
07 Jul 2022
Research article |  | 07 Jul 2022

Testing the efficacy of atmospheric boundary layer height detection algorithms using uncrewed aircraft system data from MOSAiC

Gina Jozef, John Cassano, Sandro Dahlke, and Gijs de Boer

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Latest update: 28 Mar 2024
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Short summary
During the MOSAiC expedition, meteorological conditions over the lowest 1 km of the atmosphere were sampled with the DataHawk2 uncrewed aircraft system. These data were used to identify the best method for atmospheric boundary layer height detection by comparing visually identified subjective boundary layer height to that identified by several objective automated detection methods. The results show a bulk Richardson number-based approach gives the best estimate of boundary layer height.