Abstract
The linear estimation method is used to calculate the integral parameters of atmospheric aerosol, such as volume density and effective radius, from spectra of aerosol optical depth measured with a sun photometer. Three-month runs of optical depth measured at seven wavelengths at four AERONET stations, characterized by different aerosol types (urban, biomass burning, desert dust, and marine), were chosen for testing the method. Comparison of the results with retrievals from standard AERONET algorithm shows a good agreement between these methods. However, the linear estimation method allows retrieving time series of particle parameters from direct sun measurements with a high time resolution of about several minutes. This method can be used in instruments that do not provide angular scanning of sky radiance, e.g., the PFR/GAW sun photometers network.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
IPCC 2007: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of Intergovernmental Panel on Climate Change, Ed. by S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, and H. L. Miller (University Press, NY; Cambridge, 2007).
J. Hansen, M. Sato, P. Kharecha, and K. von Schuckmann, “Earth’s energy imbalance and implications,” Atmos. Chem. Phys. 11(24), 13421–13449 (2011).
B. N. Holben, T. F. Eck, I. Slutsker, D. Tanre, J. P. Buis, A. Setzer, E. Vermote, J. A. Reagan, Y. Kaufman, T. Nakajima, F. Lavenu, I. Jankowiak, and A. Smirnov, “AERONET—federated instrument network and data archive for aerosol characterization,” Remote Sens. Environ. 66(1), 1–16 (1998).
O. Dubovik and M. D. King, “A flexible inversion algorithm for retrieval of aerosol optical properties from sun and sky radiance measurements,” J. Geophys. Res. 105(16), 20673–20696 (2000).
A. Smirnov, B. N. Holben, T. F. Eck, O. Dubovik, and I. Slutsker, “Cloud screening and quality control algorithms for AERONET database,” Remote Sens. Environ. 73(3), 337–349 (2000).
M. King, D. Byrne, B. Herman, and J. Reagan, “Aerosol size distributions obtained by the inversion of spectral optical depth measurements,” J. Atmos. Sci. 35(11), 2153–2167 (1978).
I. Veselovskii, A. Kolgotin, V. Griaznov, D. Muller, U. Wandinger, and D. Whiteman, “Inversion with regularization for the retrieval of tropospheric aerosol parameters from multi-wavelength lidar sounding,” Appl. Opt. 41(18), 3685–3699 (2002).
A. Ansmann and D. Muller, Lidar. Range-Resolved Optical Remote Sensing of the Atmosphere (Springer, New York, 2005).
D. Muller, U. Wandinger, and A. Ansmann, “Micro-physical particle parameters from extinction and back-scatter lidar data by inversion with regularization: Theory,” Appl. Opt. 38(12), 2346–2357 (1999).
L. W. Thomason and M. T. Osborn, “Lidar conservation parameters derived from SAGE II extinction measurements,” Geophys. Rev. Lett. 19(16), 1655–1658 (1992).
D. Donovan and A. Carswell, “Principal component analysis applied to multiwavelength lidar aerosol back-scatter and extinction measurements,” Appl. Opt. 36(36), 9406–9424 (1997).
I. Veselovskii, O. Dubovik, A. Kolgotin, M. Korenskiy, D. N. Whiteman, K. Allakhverdiev, and F. Huseyinoglu, “Linear estimation of particle bulk parameters from multi-wavelength lidar measurements,” Atmos. Meas. Tech. 5, 1135–1145 (2012).
M. De Graaf, D. Donovan, and A. Apituley, “Feasibility study of integral property retrieval for tropospheric aerosol from raman lidar data using principal component analysis,” Appl. Opt. 52(10), 2173–2186 (2013).
O. Dubovik, B. N. Holben, T. F. Eck, A. Smirnov, Y. J. Kaufman, M. D. King, D. Tanre, and I. Slutsker, “Variability of absorption and optical properties of key aerosol types observed in worldwide locations,” J. Atmos. Sci. 59(3), 590–608 (2002).
C. F. Bohren and D. R. Huffman, Absorption and Scattering of Light by Small Particles (Wiley-Interscience, New York, 1983).
M. I. Mishchenko, J. W. Hovenier, and L. D. Travis, Light Scattering by Nonspherical Particles (Academic Press, San-Diego, 2000).
O. Dubovik, A. Sinyuk, T. Lapyonok, B. N. Holben, M. Mishchenko, P. Yang, T. F. Eck, H. Volten, O. Munoz, B. Veihelmann, W. J. van der Zande, J.-F. Leon, M. Sorokin, and I. Slutsker, “Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust,” J. Geophys. Res. 111, D11208 (2006). doi 10.1029/2005JD006619
I. Veselovskii, O. Dubovik, A. Kolgotin, T. Lapyonok, P. Di Girolamo, D. Summa, D. N. Whiteman, M. Mishchenko, and D. Tanre, “Application of randomly oriented spheroids for retrieval of dust particle parameters from multiwavelength lidar measurements,” J. Geophys. Res. 115, D21203 (2010). doi 10.1029/2010JD014139
S. Twomey, Introduction to the Mathematics of Inversion in Remote Sensing and Linear Measurements (Elsevier, New York, 1977).
A. Ansmann, A. Petzold, K. Kandler, I. Tegen, M. Wendisch, D. Muller, B. Weinzierl, T. Muller, and J. Heintzenberg, “Saharan mineral dust experiments SAMUM-1 and SAMUM-2: What have we learned?,” Tellus B63(4), 403–429 (2011).
L. Baltensperger and C. Barrie, http://www.wmo.ch/pages/prog/arep/gaw/gaw-reports.html
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © A.S. Suvorina, I.A. Veselovskii, M.Yu. Korenskii, A.V. Kolgotin, 2014, published in Optica Atmosfery i Okeana.
Rights and permissions
About this article
Cite this article
Suvorina, A.S., Veselovskii, I.A., Korenskii, M.Y. et al. Use of a linear estimation method in calculation of integral parameters of atmospheric aerosol from spectral measurements of its optical depth. Atmos Ocean Opt 27, 237–246 (2014). https://doi.org/10.1134/S1024856014030117
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1024856014030117