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

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

doi:https://doi.org/10.5194/amt-15-4001-2022

Articles | Volume 15, issue 13

https://doi.org/10.5194/amt-15-4001-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-15-4001-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 13

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

Supplement

https://doi.org/10.5194/amt-15-4001-2022-supplement

Data sets

DataHawk2 Uncrewed Aircraft System data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign, B1 level G. Jozef, G. de Boer, J. Cassano, R. Calmer, J. Hamilton, D. Lawrence, S. Borenstein, A. Doddi, J. Schmale, A. Preußer, and B. Argrow https://doi.org/10.18739/A2KH0F08V

Initial radiosonde data from 2019-10 to 2020-09 during project MOSAiC M. Maturilli, D. J. Holdridge, S. Dahlke, J. Graeser, A. Sommerfeld, R. Jaiser, H. Deckelmann, and A. Schulz https://doi.org/10.1594/PANGAEA.928656

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.