Lidar measurements for desert dust characterization: an overview

L. Mona, Z. Liu, D. Mueller, A. Omar, A. Papayannis, G. Pappalardo, N. Sugimoto, M. Vaughan

Research output: Contribution to journalLiterature reviewpeer-review

60 Citations (Scopus)
233 Downloads (Pure)

Abstract

We provide an overview of light detection and ranging (lidar) capability for describing and characterizing desert dust. This paper summarizes lidar techniques, observations, and fallouts of desert dust lidar measurements. The main objective is to provide the scientific community, including nonpractitioners of lidar observations with a reference paper on dust lidar measurements. In particular, it will fill the current gap of communication between research-oriented lidar community and potential desert dust data users, such as air quality monitoring agencies and aviation advisory centers. The current capability of the different lidar techniques for the characterization of aerosol in general and desert dust in particular is presented. Technical aspects and required assumptions of these techniques are discussed, providing readers with the pros and cons of each technique. Information about desert dust collected up to date using lidar techniques is reviewed. Lidar techniques for aerosol characterization have a maturity level appropriate for addressing air quality and transportation issues, as demonstrated by some first results reported in this paper.

Original languageEnglish
Article number356265
Number of pages36
JournalAdvances in Meteorology
Volume2012
DOIs
Publication statusPublished - 2012

Keywords

  • DIFFERENTIAL-ABSORPTION LIDAR
  • MICROPHYSICAL PARTICLE PROPERTIES
  • TO-BACKSCATTER RATIO
  • SPECTRAL-RESOLUTION LIDAR
  • REMOTE-SENSING MEASUREMENTS
  • OPTICAL-SCATTERING PROPERTIES
  • LONG-RANGE TRANSPORT
  • SUN-PHOTOMETER MEASUREMENTS
  • MULTIWAVELENGTH RAMAN LIDAR
  • IN-SITU OBSERVATIONS

Fingerprint

Dive into the research topics of 'Lidar measurements for desert dust characterization: an overview'. Together they form a unique fingerprint.

Cite this