University of Hertfordshire

From the same journal

By the same authors

Documents

  • 907116

    Final published version, 3 MB, PDF-document

  • J. Wagner
  • A. Ansmann
  • U. Wandinger
  • P. Seifert
  • A. Schwarz
  • Matthias Tesche
  • A. Chaikovsky
  • O. Dubovik
View graph of relations
Original languageEnglish
Number of pages18
Pages (from-to)1707-1724
JournalAtmospheric Measurement Techniques
Journal publication date22 Jul 2013
Volume6
Issue7
DOIs
Publication statusPublished - 22 Jul 2013

Abstract

The Lidar/Radiometer Inversion Code (LIRIC) combines the multiwavelength lidar technique with sun/sky photometry and allows us to retrieve vertical profiles of particle optical and microphysical properties separately for fine-mode and coarse-mode particles. After a brief presentation of the theoretical background, we evaluate the potential of LIRIC to retrieve the optical and microphysical properties of irregularly shaped dust particles. The method is applied to two very different aerosol scenarios: a strong Saharan dust outbreak towards central Europe and an Eyjafjallajökull volcanic dust event. LIRIC profiles of particle mass concentrations for the coarse-mode as well as for the non-spherical particle fraction are compared with results for the non-spherical particle fraction as obtained with the polarization-lidar- based POLIPHON method. Similar comparisons for fine-mode and spherical particle fractions are presented also. Acceptable agreement between the different dust mass concentration profiles is obtained. LIRIC profiles of optical properties such as particle backscatter coefficient, lidar ratio, Ångström exponent, and particle depolarization ratio are compared with direct Raman lidar observations. Systematic deviations between the LIRIC retrieval products and the Raman lidar measurements of the desert dust lidar ratio, depolarization ratio, and spectral dependencies of particle backscatter and lidar ratio point to the applied spheroidal-particle model as main source for these uncertainties in the LIRIC results.

Notes

© Author(s) 2013. This work is distributed under the Creative Commons Attribution 3.0 License

ID: 8758436