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Linear Estimation of Particle Bulk Parameters from Multi-Wavelength Lidar MeasurementsAn algorithm for linear estimation of aerosol bulk properties such as particle volume, effective radius and complex refractive index from multiwavelength lidar measurements is presented. The approach uses the fact that the total aerosol concentration can well be approximated as a linear combination of aerosol characteristics measured by multiwavelength lidar. Therefore, the aerosol concentration can be estimated from lidar measurements without the need to derive the size distribution, which entails more sophisticated procedures. The definition of the coefficients required for the linear estimates is based on an expansion of the particle size distribution in terms of the measurement kernels. Once the coefficients are established, the approach permits fast retrieval of aerosol bulk properties when compared with the full regularization technique. In addition, the straightforward estimation of bulk properties stabilizes the inversion making it more resistant to noise in the optical data. Numerical tests demonstrate that for data sets containing three aerosol backscattering and two extinction coefficients (so called 3 + 2 ) the uncertainties in the retrieval of particle volume and surface area are below 45% when input data random uncertainties are below 20 %. Moreover, using linear estimates allows reliable retrievals even when the number of input data is reduced. To evaluate the approach, the results obtained using this technique are compared with those based on the previously developed full inversion scheme that relies on the regularization procedure. Both techniques were applied to the data measured by multiwavelength lidar at NASA/GSFC. The results obtained with both methods using the same observations are in good agreement. At the same time, the high speed of the retrieval using linear estimates makes the method preferable for generating aerosol information from extended lidar observations. To demonstrate the efficiency of the method, an extended time series of observations acquired in Turkey in May 2010 was processed using the linear estimates technique permitting, for what we believe to be the first time, temporal-height distributions of particle parameters.
Document ID
20140009602
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
doi:10.5194/amt-5-1135-2012
Authors
Veselovskii, Igor (Academy of Sciences (USSR) Moscow, Russian Federation)
Dubovik, Oleg (Centre National de la Recherche Scientifique Annecy-le-Vieux, France)
Kolgotin, A. (Academy of Sciences (USSR) Moscow, Russian Federation)
Korenskiy, M. (Academy of Sciences (USSR) Moscow, Russian Federation)
Whiteman, D. N. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Allakhverdiev, K. (Tubitak Marmara Research Center Kocaeli, Turkey)
Huseyinoglu, F. (Tubitak Marmara Research Center Kocaeli, Turkey)
Date Acquired
July 18, 2014
Publication Date
May 21, 2012
Publication Information
Publication: Atmospheric Measurement Techniques
Publisher: Copernicus Pulbications
Volume: 5
Issue: 5
Subject Category
Meteorology And Climatology
Report/Patent Number
GSFC-E-DAA-TN9397
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
linear estimation
multi-wavelength lidar measurements
aerosol bulk properties

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