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  12 Oct 2020

12 Oct 2020

Review status: a revised version of this preprint is currently under review for the journal ACP.

Automated time-height-resolved airmass source attribution for profiling remote sensing applications

Martin Radenz1, Patric Seifert1, Holger Baars1, Athena Augusta Floutsi1, Zhenping Yin1,2,3, and Johannes Bühl1 Martin Radenz et al.
  • 1Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
  • 2School of Electronic Information, Wuhan University, Wuhan, China
  • 3Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan, China

Abstract. Height resolved airmass source attribution is crucial for the evaluation of profiling ground-based remote sensing observations. This work presents an approach how backward trajectories or particle positions from a dispersion model can be combined with geographical information (a land cover classification and manually defined areas) to obtain a continuous and vertically resolved estimate of airmass source above a certain location. Ideally, such an estimate depends on as few as possible a-priori information and auxiliary data. An automated framework for the computation of such an airmass source is presented and two exemplary applications are described. Firstly, the airmass source information is used for the interpretation of airmass sources for three case studies with lidar observations from Limassol (Cyprus), Punta Arenas (Chile) and ship-borne off Cabo Verde. Secondly, airmass source statistics are calculated for two 8-week campaigns to assess potential observation biases of lidar-based aerosol statistics.

Martin Radenz et al.

Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Martin Radenz et al.

Model code and software

trace_airmass_source: trace version of aug2020 Martin Radenz

Martin Radenz et al.


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