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Comparison of scanning aerosol LIDAR and in situ measurements of aerosol physical properties and boundary layer heights

Zhang, Hengheng ORCID iD icon 1; Rolf, Christian; Tillmann, Ralf; Wesolek, Christian; Wienhold, Frank Gunther; Leisner, Thomas ORCID iD icon 1; Saathoff, Harald ORCID iD icon 1
1 Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF), Karlsruher Institut für Technologie (KIT)

Abstract:

The spatiotemporal distribution of aerosol particles in the atmosphere has a great impact on radiative transfer, clouds, and air quality. Modern remote sensing methods, as well as airborne in situ measure- ments by unpiloted aerial vehicles (UAV) or balloons, are suitable tools to improve our understanding of the role of aerosol particles in the atmosphere. To validate the measurement capabilities of three relatively new measurement systems and to bridge the gaps that are often encountered between remote sensing and in situ ob- servation, as well as to investigate aerosol particles in and above the boundary layer, we conducted two measure- ment campaigns and collected a comprehensive dataset employing a scanning aerosol lidar, a balloon-borne ra- diosonde with the Compact Optical Backscatter Aerosol Detector (COBALD), an optical particle counter (OPC) on a UAV, and a comprehensive set of ground-based instruments. The extinction coefficients calculated from near-ground-level aerosol size distributions measured in situ are well correlated with those retrieved from lidar measurements, with a slope of 1.037 ± 0.015 and a Pearson correlation coefficient of 0.878, respectively. ... mehr


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Originalveröffentlichung
DOI: 10.35097/hasgjxjeuxbkufbe
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF)
Publikationstyp Forschungsdaten
Publikationsjahr 2024
Identifikator KITopen-ID: 1000175023
HGF-Programm 12.11.12 (POF IV, LK 01) Atmospheric chemistry processes
Weitere HGF-Programme 12.11.11 (POF IV, LK 01) Urban Climate and Air Quality
Lizenz Creative Commons Namensnennung – Nicht kommerziell 4.0 International
Schlagwörter Geological Science
Art der Forschungsdaten Dataset
Relationen in KITopen
Rechteinhaber Zhang, Hengheng; Rolf, Christian; Tillmann, Ralf; Wesolek, Christian; Wienhold, Frank Gunther; Leisner, Thomas; Saathoff, Harald
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