ORACLES Campaign, September 2016: Inversion of HSRL-2 Observations with Regularization Algorithm into Particle Microphysical Parameters and Comparison to Airborne In-Situ Data

We present microphysical properties of pollution layers observed with NASA Langley Research Center’s airborne high-spectral-Resolution lidar (HSRL-2). The data obtained by HSRL-2 consist of vertical profiles of three backscatter coefficients (<i>β</i>) taken at 355, 532 and 1064 nm and t...

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Bibliographic Details
Main Authors: Alexei Kolgotin, Detlef Müller, Mikhail Korenskiy, Igor Veselovskii
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/14/11/1661
Description
Summary:We present microphysical properties of pollution layers observed with NASA Langley Research Center’s airborne high-spectral-Resolution lidar (HSRL-2). The data obtained by HSRL-2 consist of vertical profiles of three backscatter coefficients (<i>β</i>) taken at 355, 532 and 1064 nm and two extinction coefficients (<i>α</i>) measured at 355 and 532 nm. In our study we (1) inverted the 3<i>β</i> + 2<i>α</i> data into particle size distributions with a regularization algorithm, and subsequently computed (2) number concentration and (3) single-scattering albedo for four measurement profiles. We carried out a first comparison to the same particle characteristics measured with airborne in-situ instruments. The in-situ instruments were flown aboard the P-3B aircraft, which followed the flight track of the aircraft ER-2 that carried HSRL-2. We found good agreement of the co-located (space and time) data products, with a degree of reliability reaching 90%. A more detailed study on a larger dataset needs to be carried out in future work to (a) obtain important correction factors, (b) study the influence of different light-scattering models on the inversion results, and (c) identify sources of retrieval and measurement uncertainties.
ISSN:2073-4433