Issue |
EPJ Web of Conferences
Volume 119, 2016
The 27th International Laser Radar Conference (ILRC 27)
|
|
---|---|---|
Article Number | 08009 | |
Number of page(s) | 4 | |
Section | Poster Session (Aerosol Observations and Retrievals I) | |
DOI | https://doi.org/10.1051/epjconf/201611908009 | |
Published online | 07 June 2016 |
https://doi.org/10.1051/epjconf/201611908009
Direct Estimation of Fine and Coarse Mode Particle Parameters from Multiwavelength Lidar Measurements
1 Physics Instrumentation Center, Troitsk, Moscow Region, 142190, Russia
2 NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
E-mail: alexeift@yahoo.com
E-mail: miklekor@pic.troitsk.ru
E-mail: igorv@pic.troitsk.ru
E-mail: david.n.whiteman@nasa.gov
Published online: 7 June 2016
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.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.