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Volume 10, issue 6 | Copyright

Special issue: POLARCAT (Polar Study using Aircraft, Remote Sensing, Surface...

Atmos. Chem. Phys., 10, 2777-2794, 2010
https://doi.org/10.5194/acp-10-2777-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.

  25 Mar 2010

25 Mar 2010

Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements

C. K. Gatebe1,2, O. Dubovik3, M. D. King2,4, and A. Sinyuk2,5 C. K. Gatebe et al.
  • 1Goddard Earth Sciences and Technology Center, University of Maryland, Baltimore County, Baltimore, Maryland 21228, USA
  • 2NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
  • 3Laboratoire d'Optique Atmospherique, Centre National de la Research Scientifique et Université des Sciences et Technologies de Lille, 59655 Villeneuve d'Ascq, France
  • 4Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, Colorado, 80309-0392, USA
  • 5Sigma Space Corp., Lanham, MD, 20706, USA

Abstract. 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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