ACP Atmospheric Chemistry and Physics ACP 1680-7324 Copernicus GmbH Göttingen, Germany 10.5194/acp-10-2777-2010 Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements Gatebe C. K. 1 2 Dubovik O. 3 King M. D. 2 4 Sinyuk A. 2 5 Goddard Earth Sciences and Technology Center, University of Maryland, Baltimore County, Baltimore, Maryland 21228, USA NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA Laboratoire d'Optique Atmospherique, Centre National de la Research Scientifique et Université des Sciences et Technologies de Lille, 59655 Villeneuve d'Ascq, France Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, Colorado, 80309-0392, USA Sigma Space Corp., Lanham, MD, 20706, USA 25 03 2010 10 6 2777 2794 This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This article is available from http://www.atmos-chem-phys.net/10/2777/2010/acp-10-2777-2010.html The full text article is available as a PDF file from http://www.atmos-chem-phys.net/10/2777/2010/acp-10-2777-2010.pdf

This paper presents a new method for simultaneously retrieving aerosol and surface reflectance properties from combined airborne and ground-based direct and diffuse radiometric measurements. The method is based on the standard Aerosol Robotic Network (AERONET) method for retrieving aerosol size distribution, complex index of refraction, and single scattering albedo, but modified to retrieve aerosol properties in two layers, below and above the aircraft, and parameters on surface optical properties from combined datasets (Cloud Absorption Radiometer (CAR) and AERONET data). A key advantage of this method is the inversion of all available spectral and angular data at the same time, while accounting for the influence of noise in the inversion procedure using statistical optimization. The wide spectral (0.34–2.30 μm) and angular range (180°) of the CAR instrument, combined with observations from an AERONET sunphotometer, provide sufficient measurement constraints for characterizing aerosol and surface properties with minimal assumptions. The robustness of the method was tested on observations made during four different field campaigns: (a) the Southern African Regional Science Initiative 2000 over Mongu, Zambia, (b) the Intercontinental Transport Experiment-Phase B over Mexico City, Mexico (c) Cloud and Land Surface Interaction Campaign over the Atmospheric Radiation Measurement (ARM) Central Facility, Oklahoma, USA, and (d) the Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) over Elson Lagoon in Barrow, Alaska, USA. The four areas are dominated by different surface characteristics and aerosol types, and therefore provide good test cases for the new inversion method.

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