Review of Davide Dionisi et al., A multi-wavelength numerical model in support to quantitative retrievals of aerosol properties from automated-lidar-ceilometers and test applications for AOT and PM10 estimation

Abstract. Simultaneous data on Aerosol Optical Depth (AOD) and size segregated, near-surface, aerosol mass concentration was obtained from a Multi wavelength Solar Radiometer (MWR) and Quartz Crystal Microbalance Impactor (QCM), respectively. These were used to examine the association between near-surface aerosol properties and columnar AOD. The spectral AODs were approximated to the Ångström relation τp=βλ-α, and the wavelength exponent α and turbidity coefficient β have been obtained. In general, α was found to be well associated with the relative abundance of accumulation mode aerosols (estimated from the simultaneous QCM data) while β followed the variations of the coarse mode aerosol mass concentration; the association being closer during periods of continental airmass.

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Comments on "Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean"

10.5194/acp-2018-999-rc1 ◽

2018 ◽

Author(s):

Anonymous

Keyword(s):

Remote Sensing ◽

Multi Wavelength ◽

Aerosol Properties

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Ceilometer aerosol profiling versus Raman lidar in the frame of the INTERACT campaign of ACTRIS

Atmospheric Measurement Techniques ◽

10.5194/amt-8-2207-2015 ◽

2015 ◽

Vol 8 (5) ◽

pp. 2207-2223 ◽

Cited By ~ 27

Author(s):

F. Madonna ◽

F. Amato ◽

J. Vande Hey ◽

G. Pappalardo

Keyword(s):

Atmospheric Aerosols ◽

Signal To Noise Ratio ◽

Cloud Base ◽

Raman Lidar ◽

Backscatter Coefficient ◽

Lidar Measurements ◽

Multi Wavelength ◽

Strong Motivation ◽

Technological Improvements ◽

Aerosol Properties

Abstract. Despite their differences from more advanced and more powerful lidars, the low construction and operation cost of ceilometers (originally designed for cloud base height monitoring) has fostered their use for the quantitative study of aerosol properties. The large number of ceilometers available worldwide represents a strong motivation to investigate both the extent to which they can be used to fill in the geographical gaps between advanced lidar stations and also how their continuous data flow can be linked to existing networks of the more advanced lidars, like EARLINET (European Aerosol Research Lidar Network). In this paper, multi-wavelength Raman lidar measurements are used to investigate the capability of ceilometers to provide reliable information about atmospheric aerosol properties through the INTERACT (INTERcomparison of Aerosol and Cloud Tracking) campaign carried out at the CNR-IMAA Atmospheric Observatory (760 m a.s.l., 40.60° N, 15.72° E), in the framework of the ACTRIS (Aerosol Clouds Trace gases Research InfraStructure) FP7 project. This work is the first time that three different commercial ceilometers with an advanced Raman lidar are compared over a period of 6 months. The comparison of the attenuated backscatter coefficient profiles from a multi-wavelength Raman lidar and three ceilometers (CHM15k, CS135s, CT25K) reveals differences due to the expected discrepancy in the signal to noise ratio (SNR) but also due to changes in the ambient temperature on the short and mid-term stability of ceilometer calibration. Therefore, technological improvements are needed to move ceilometers towards operational use in the monitoring of atmospheric aerosols in the low and free troposphere.

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Enhancement of aerosol characterization using synergy of lidar and sun – photometer coincident observations: the GARRLiC algorithm

Atmospheric Measurement Techniques Discussions ◽

10.5194/amtd-6-2253-2013 ◽

2013 ◽

Vol 6 (2) ◽

pp. 2253-2325 ◽

Cited By ~ 6

Author(s):

A. Lopatin ◽

O. Dubovik ◽

A. Chaikovsky ◽

Ph. Goloub ◽

T. Lapyonok ◽

...

Keyword(s):

Refractive Index ◽

Size Distribution ◽

Complex Refractive Index ◽

Single Scattering ◽

Inversion Algorithm ◽

Multi Wavelength ◽

Lidar Observations ◽

Aerosol Properties ◽

Different Altitudes ◽

Aerosol Type

Abstract. Currently most of experiments pursuing comprehensive characterization of atmosphere include coordinated observations by both lidar and radiometers in order to obtain important complimentary information about aerosol properties. The passive observations by radiometers from ground are mostly sensitive to the properties of aerosol in total atmospheric column and have very limited sensitivity to vertical structure of the atmosphere. Such observations are commonly used for measuring aerosol optical thickness and deriving the information about aerosol microphysics including aerosol particles shape, size distribution, and complex refractive index. In a contrast, lidar observations of atmospheric responses from different altitudes to laser pulses emitted from ground are designed to provide accurate profiling of the atmospheric properties. The interpretation of the lidar observation generally relies on some assumptions about aerosol type and loading. Here we present the GARRLiC algorithm (Generalized Aerosol Retrieval from Radiometer and Lidar Combined data) that simultaneously inverts co-incident lidar and radiometer observations and derives a united set of aerosol parameters. Such synergetic retrieval is expected to result in additional enhancements in derived aerosol properties because the backscattering observations by lidar add some sensitivity to the columnar properties of aerosol, while radiometric observations provide sufficient constraints on aerosol type and loading that generally are missing in lidar signals. GARRLiC is based on AERONET algorithm for inverting combined observations by radiometer and multi-wavelength elastic lidar observations. It is expected that spectral changes of backscattering signal obtained by multi-wavelength lidar at different altitudes provide some sensitivity to the vertical variability of aerosol particle sizes. In order to benefit from this sensitivity the algorithm is set to derive not only the vertical profile of total aerosol concentration but it also differentiates between the contributions of fine and coarse modes of aerosol. The detailed microphysical properties are assumed height independent and different for each mode and expected to be derived as a part of the retrieval. Thus, the GARRLiC inversion algorithm retrieves vertical distribution of both fine and coarse aerosol concentrations as well as the size distribution, complex refractive index and single scattering albedo for each mode. The potential and limitations of the method are demonstrated by the series of sensitivity tests. The practical outcome of the approach is illustrated by applications of the algorithm to the real lidar and radiometer observations obtained over selected AERONET site.

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A mobile system combining lidar and sunphotometer on-road measurements: description and first results

EPJ Web of Conferences ◽

10.1051/epjconf/201817608003 ◽

2018 ◽

Vol 176 ◽

pp. 08003

Author(s):

Ioana Popovici ◽

Philippe Goloub ◽

Thierry Podvin ◽

Luc Blarel ◽

Rodrigue Loisil ◽

...

Keyword(s):

Reliable Information ◽

Raman Lidar ◽

Mobile System ◽

Northern France ◽

First Results ◽

Multi Wavelength ◽

Aerosol Properties

The mobile system described in this paper integrates a commercial eye-safe lidar (CIMEL), a sunphotometer and in situ instruments. The system is distinguished by other transportable platforms through its capabilities to perform onroad measurements. The potential of a commercial lidar to provide reliable information on aerosol properties is investigated through comparison with a multi-wavelength Raman lidar. First results from observation campaigns in northern France are presented.

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Intercomparison of aerosol measurements performed with multi-wavelength Raman lidars, automatic lidars and ceilometers in the frame of INTERACT-II campaign

10.5194/amt-2017-399 ◽

2017 ◽

Author(s):

Fabio Madonna ◽

Marco Rosoldi ◽

Simone Lolli ◽

Francesco Amato ◽

Joshua Vande Hey ◽

...

Keyword(s):

Atmospheric Aerosol ◽

Trace Gases ◽

Average Difference ◽

Raman Lidar ◽

Simultaneous Measurements ◽

Lidar Measurements ◽

Multi Wavelength ◽

Micro Pulse Lidar ◽

Aerosol Properties ◽

Cloud Tracking

Abstract. Following on from the previous efforts of INTERACT (INTERcomparison of Aerosol and Cloud Tracking), the INTERACT-II campaign used multi-wavelength Raman lidar measurements to assess the performance of an automatic compact micro-pulse lidar (MiniMPL) and two ceilometers (CL51 and CS135), respectively, to provide reliable information about optical and geometric atmospheric aerosol properties. The campaign took place at the CNR-IMAA Atmospheric Observatory (760 m asl, 40.60° N, 15.72° E), in the framework of the ACTRIS-2 (Aerosol Clouds Trace gases Research InfraStructure) H2020 project. Co-located simultaneous measurements involving a MiniMPL, two ceilometers, and two EARLINET multi-wavelength Raman lidars (MUSA and PEARL) were performed from July to December 2016. Range-corrected signals (RCS) of MiniMPL showed an average difference with respect to MUSA/PEARL RCS of less than 10–15 % below 3.0 km above sea level, largely due to the use of an inaccurate overlap correction, and smaller than 5 % in the free troposphere. For the CL51, the average difference with respect to MUSA/PEARL attenuated backscatter is

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Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data

Atmospheric Measurement Techniques ◽

10.5194/amt-9-3391-2016 ◽

2016 ◽

Vol 9 (7) ◽

pp. 3391-3405 ◽

Cited By ~ 20

Author(s):

Valentyn Bovchaliuk ◽

Philippe Goloub ◽

Thierry Podvin ◽

Igor Veselovskii ◽

Didier Tanre ◽

...

Keyword(s):

Complex Refractive Index ◽

Multiple Impacts ◽

Future Studies ◽

Data Inversion ◽

Microphysical Properties ◽

Aerosol Retrieval ◽

Multi Wavelength ◽

And Inversion ◽

Aerosol Properties ◽

Combined Data

Abstract. Aerosol particles are important and highly variable components of the terrestrial atmosphere, and they affect both air quality and climate. In order to evaluate their multiple impacts, the most important requirement is to precisely measure their characteristics. Remote sensing technologies such as lidar (light detection and ranging) and sun/sky photometers are powerful tools for determining aerosol optical and microphysical properties. In our work, we applied several methods to joint or separate lidar and sun/sky-photometer data to retrieve aerosol properties. The Raman technique and inversion with regularization use only lidar data. The LIRIC (LIdar-Radiometer Inversion Code) and recently developed GARRLiC (Generalized Aerosol Retrieval from Radiometer and Lidar Combined data) inversion methods use joint lidar and sun/sky-photometer data. This paper presents a comparison and discussion of aerosol optical properties (extinction coefficient profiles and lidar ratios) and microphysical properties (volume concentrations, complex refractive index values, and effective radius values) retrieved using the aforementioned methods. The comparison showed inconsistencies in the retrieved lidar ratios. However, other aerosol properties were found to be generally in close agreement with the AERONET (AErosol RObotic NETwork) products. In future studies, more cases should be analysed in order to clearly define the peculiarities in our results.

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