Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Validation of the dual field-of-view polarization LIDAR technique for the retrieval of homogeneous water cloud microphysical properties: a study based on a polarimetric Monte Carlo simulation

Not Accessible

Your library or personal account may give you access

Abstract

This paper highlights the validation of the dual field-of-view (FOV) polarization LIDAR technique for the retrieval of a cloud droplet effective radius in conjunction with a cloud extinction coefficient of a homogeneous water cloud via a simulation approach. The simulation is based on a polarimetric Monte Carlo method incorporated with semianalytic features under multiple-scattering conditions. The simulation results show that the depolarization ratio measured at dual-FOVs is a function of the cloud droplet effective radius and cloud extinction coefficient. Using the method of standard deviation on extensive simulation results and then, by applying the polynomial regression, two polynomial relationships are obtained expressing the retrieval of the cloud droplet effective radius and cloud extinction coefficient from the layer integrated depolarization ratio at low optical depths close to the cloud bottom. Eventually, the results presented by Ref. [Atmos. Chem. Phys. 20, 15265 (2020) [CrossRef]  ] are validated. The water cloud microphysical properties, liquid water content, and cloud droplet number concentration are the functions of these two parameters and thus can be found numerically.

© 2022 Optica Publishing Group

Full Article  |  PDF Article
More Like This
Dual-field-of-view Raman lidar measurements for the retrieval of cloud microphysical properties

Jörg Schmidt, Ulla Wandinger, and Aleksey Malinka
Appl. Opt. 52(11) 2235-2247 (2013)

Simulated polarization diversity lidar returns from water and precipitating mixed phase clouds

Kenneth Sassen, Hongjie Zhao, and Gregory C. Dodd
Appl. Opt. 31(15) 2914-2923 (1992)

Polarimetric multiple scattering LiDAR model based on Poisson distribution

Gilles Roy and Grégoire Tremblay
Appl. Opt. 61(18) 5507-5516 (2022)

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the corresponding author upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (6)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (23)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.