A Bayesian parametric approach to the retrieval of the atmospheric number size distribution from lidar data
-
Published:2022-01-06
Issue:1
Volume:15
Page:149-164
-
ISSN:1867-8548
-
Container-title:Atmospheric Measurement Techniques
-
language:en
-
Short-container-title:Atmos. Meas. Tech.
Author:
Sorrentino AlbertoORCID, Sannino AlessiaORCID, Spinelli Nicola, Piana Michele, Boselli Antonella, Tontodonato Valentino, Castellano Pasquale, Wang Xuan
Abstract
Abstract. We consider the problem of reconstructing the number size distribution (or particle size distribution) in the atmosphere from lidar measurements of the extinction and backscattering coefficients. We assume that the number size distribution can be modeled as a superposition of log-normal distributions, each one defined by three parameters: mode, width and height. We use a Bayesian model and a Monte Carlo algorithm to estimate these parameters. We test the developed method on synthetic data generated by distributions containing one or two modes and perturbed by Gaussian noise as well as on three datasets obtained from AERONET. We show that the proposed algorithm provides good results when the right number of modes is selected. In general, an overestimate of the number of modes provides better results than an underestimate. In all cases, the PM1, PM2.5 and PM10 concentrations are reconstructed with tolerable deviations.
Funder
Gruppo Nazionale per il Calcolo Scientifico
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference64 articles.
1. Alados-Arboledas, L., Müller, D., Guerrero-Rascado, J., Navas-Guzmán,
F., Pérez-Ramírez, D., and Olmo, F.: Optical and microphysical
properties of fresh biomass burning aerosol retrieved by Raman lidar, and
star-and sun-photometry, Geophys. Res. Lett., 38, L01807, https://doi.org/10.1029/2010GL045999, 2011. a, b 2. Ansmann, A., Riebesell, M., and Weitkamp, C.: Measurement of atmospheric
aerosol extinction profiles with a Raman lidar, Opt. Lett., 15, 746–748,
1990. a 3. Ansmann, A., Riebesell, M., Wandinger, U., Weitkamp, C., Voss, E., Lahmann, W.,
and Michaelis, W.: Combined Raman elastic-backscatter lidar for vertical
profiling of moisture, aerosol extinction, backscatter, and lidar ratio,
Appl. Phys. B-Lasers O., 55, 18–28, 1992. a 4. Balis, D., Giannakaki, E., Müller, D., Amiridis, V., Kelektsoglou, K.,
Rapsomanikis, S., and Bais, A.: Estimation of the microphysical aerosol
properties over Thessaloniki, Greece, during the SCOUT-O3 campaign with the
synergy of Raman lidar and Sun photometer data, J. Geophys.
Res.-Atmos., 115, D08202, https://doi.org/10.1029/2009JD013088, 2010. a 5. Böckmann, C.: Hybrid regularization method for the ill-posed inversion of
multiwavelength lidar data in the retrieval of aerosol size distributions,
Appl. Optics, 40, 1329–1342, 2001. a
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|