https://doi.org/10.1051/epjconf/201817608001
Synergy of lidar and passive remote sensor data for retrieving profiles of microphysical properties of non-spherical particles
1
Physics Instrumentation Center, Troitsk, Moscow Region, 142190, Russia
2
University of Hertfordshire, Hatfield, Hertfordshire, AL10 9AB, UK
3
Science Systems and Applications, Inc. (SSAI), NASA LaRC, 1 Enterprise Parkway, Hampton, VA, 23666, USA
4
The National University of Science and Technology, Leninskii av. 4, Moscow, 119049
* alexeift@yahoo.com
d.mueller@herts.ac.uk
Published online: 13 April 2018
In this study we explore how the combination of 3 backscatter and 2 extinction lidar data with data that can be collected with ground-based and space-borne passive remote sensors, e.g. phase function coefficients which can be derived at various measurement wavelengths and scattering angles can result in improved profiles of particle microphysical properties. The algorithm is based on a light-scattering model that uses a mixture of spheres and randomly oriented spheroids.
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
