Airborne measurements of mesoscale divergence at high latitudes during HALO-(AC)3

Fiona M. Paulus aUniversity of Cologne, Institute for Geophysics and Meteorology, Cologne, Germany

Search for other papers by Fiona M. Paulus in
Current site
Google Scholar
PubMed
Close
,
Michail Karalis bStockholm University, Department of Meteorology and Bolin Centre for Climate Research, Stockholm, Sweden

Search for other papers by Michail Karalis in
Current site
Google Scholar
PubMed
Close
,
Geet George cMax Planck Institute for Meteorology, Hamburg, Germany
dDelft University of Technology, Delft, The Netherlands

Search for other papers by Geet George in
Current site
Google Scholar
PubMed
Close
,
Gunilla Svensson bStockholm University, Department of Meteorology and Bolin Centre for Climate Research, Stockholm, Sweden
eKTH Royal Institute of Technology, Department of Engineering Mechanics, FLOW, Stockholm, Sweden

Search for other papers by Gunilla Svensson in
Current site
Google Scholar
PubMed
Close
,
Manfred Wendisch fUniversity Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany

Search for other papers by Manfred Wendisch in
Current site
Google Scholar
PubMed
Close
, and
Roel A. J. Neggers aUniversity of Cologne, Institute for Geophysics and Meteorology, Cologne, Germany

Search for other papers by Roel A. J. Neggers in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Boundary layer cloud transformations at high latitudes play a key role for the Arctic climate and are partially controlled by large-scale dynamics such as subsidence. While measuring large- and mesoscale divergence on spatial scales on the order of 100 km has proven notoriously difficult, recent airborne campaigns in the subtropics have successfully applied measurement techniques using multiple dropsonde releases in circular flight patterns. In this paper it is shown that this method can also be effectively applied at high latitudes, in spite of the considerable differences in atmospheric dynamics compared to the subtropics. To show the applicability, data collected during the airborne HALO-(AC)3 field campaign near Svalbard in Spring 2022 were analysed, where several flight patterns involving multiple dropsonde launches were realized by two aircraft. This study presents a first overview of the results. We find that the method indeed yields reliable estimates of mesoscale gradients in the Arctic, producing robust vertical profiles of horizontal divergence and consequently, subsidence. Sensitivity to aspects of the method is investigated, including dependence on sampling area and the divergence calculation.

© 2024 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Fiona M. Paulus, fpaulus@uni-koeln.de

Abstract

Boundary layer cloud transformations at high latitudes play a key role for the Arctic climate and are partially controlled by large-scale dynamics such as subsidence. While measuring large- and mesoscale divergence on spatial scales on the order of 100 km has proven notoriously difficult, recent airborne campaigns in the subtropics have successfully applied measurement techniques using multiple dropsonde releases in circular flight patterns. In this paper it is shown that this method can also be effectively applied at high latitudes, in spite of the considerable differences in atmospheric dynamics compared to the subtropics. To show the applicability, data collected during the airborne HALO-(AC)3 field campaign near Svalbard in Spring 2022 were analysed, where several flight patterns involving multiple dropsonde launches were realized by two aircraft. This study presents a first overview of the results. We find that the method indeed yields reliable estimates of mesoscale gradients in the Arctic, producing robust vertical profiles of horizontal divergence and consequently, subsidence. Sensitivity to aspects of the method is investigated, including dependence on sampling area and the divergence calculation.

© 2024 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Fiona M. Paulus, fpaulus@uni-koeln.de
Save