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

Abstract km of the atmosphere were sampled with the DataHawk2 (DH2) fixed-wing uncrewed aircraft system (UAS). These in situ observations of the central Arctic atmosphere are some of the most extensive to date and provide unique insight into the atmospheric boundary layer (ABL) structure. The ABL is an important component of the Arctic climate, as it can be closely coupled to cloud properties, surface fluxes, and the atmospheric radiation budget. The high temporal resolution of the UAS observations allows us to manually identify the ABL height (Z ABL Z ABL Z ABL Z ABL Z ABL Z ABL, while the Liu–Liang method is least successful. The results of this study are expected to be beneficial for upcoming observational and modeling efforts regarding the central Arctic ABL.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Testing the efficacy of atmospheric boundary layer height detection algorithms using uncrewed aircraft system data from MOSAiC ; volume:15 ; number:13 ; year:2022 ; pages:4001-4022 ; extent:22 ; Atmospheric measurement techniques ; 15, Heft 13 (2022), 4001-4022 (gesamt 22)

Contributors, Places and Time

• Creator: Jozef, Gina ; Cassano, John ; Dahlke, Sandro ; de Boer, Gijs

Further information

• DOI: 10.5194/amt-15-4001-2022
• URN: urn:nbn:de:101:1-2022071405264628109198
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:24 AM CEST