Abstract
An approach for the direct estimation (DE) of particle parameters in the fine and coarse mode from multiwavelength lidar measurements is presented. Particle size distributions in both modes are approximated by rectangular functions, so the particle density is estimated directly without solving the inverse problem. The numerical simulation demonstrates that the particle volume in both modes can be estimated from 3β+2α lidar measurements with uncertainty of ~25% for a wide range of size distributions. The technique developed was applied to the observations of NASA GSFC Raman lidar. Comparison of the results obtained with DE and regularization approach applied to the same set of data demonstrates agreement between these two techniques.
Highlights
Retrieval of particle microphysical properties from multiwavelength Mie-Raman lidar observations has become a widely discussed problem during the last decade
The main reason is that the inverse problem is strongly underdetermined: from lidar measurements normally only three backscattering (β) and two extinction (α) coefficients are available in a limited spectral interval 355-1064 nm
Basing on results of numerous simulations we introduced the limitations in the algorithm: for retrieved Vc/Vt
Summary
Retrieval of particle microphysical properties from multiwavelength Mie-Raman lidar observations has become a widely discussed problem during the last decade. Numerous approaches were suggested for inversion of lidar data to particle parameters [e.g.1-3]. The main reason is that the inverse problem is strongly underdetermined: from lidar measurements normally only three backscattering (β) and two extinction (α) coefficients are available in a limited spectral interval 355-1064 nm (so called 3 +2 set). All reported results are related mainly to the retrieval of total particle volume and effective radius attributed to the total size distribution. At the same time in many applications it is very important to separate the contributions of the fine and the coarse modes. We present an approach for direct estimation of the fine and the coarse mode parameters without solving the inverse problem
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
