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AGU: Journal of Geophysical Research, Atmospheres

 

Keywords

  • MODIS
  • aerosol
  • land

Index Terms

  • Atmospheric Composition and Structure: Aerosols and particles
  • Biogeosciences: Remote sensing
  • Atmospheric Composition and Structure: Radiation: transmission and scattering
  • Atmospheric Composition and Structure: Instruments and techniques
  • Atmospheric Composition and Structure: Troposphere: composition and chemistry
Abstract
Cited By (31)
 

Abstract

Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance

Robert C. Levy

Science Systems and Applications Inc., Lanham, Maryland, USA

Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland, USA

Lorraine A. Remer

Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Shana Mattoo

Science Systems and Applications Inc., Lanham, Maryland, USA

Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Eric F. Vermote

Department of Geography, University of Maryland, College Park, Maryland, USA

Yoram J. Kaufman

Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Since first light in early 2000, operational global quantitative retrievals of aerosol properties over land have been made from Moderate Resolution Imaging Spectroradiometer (MODIS) observed spectral reflectance. These products have been continuously evaluated and validated, and opportunities for improvements have been noted. We have replaced the surface reflectance assumptions, the set of aerosol model optical properties, and the aerosol lookup table (LUT). This second-generation operational algorithm performs a simultaneous inversion of two visible (0.47 and 0.66 μm) and one shortwave-IR (2.12 μm) channel, making use of the coarse aerosol information content contained in the 2.12 μm channel. Inversion of the three channels yields three nearly independent parameters, the aerosol optical depth (τ) at 0.55 μm, the nondust or fine weighting (η), and the surface reflectance at 2.12 μm. Retrievals of small-magnitude negative τ values (down to −0.05) are considered valid, thus balancing the statistics of τ in near zero τ conditions. Preliminary validation of this algorithm shows much improved retrievals of τ, where the MODIS/Aerosol Robotic Network τ (at 0.55 μm) regression has an equation of: y = 1.01x + 0.03, R = 0.90. Global mean τ for the test bed is reduced from ∼0.28 to ∼0.21.

Received 20 July 2006; accepted 26 February 2007; published 13 July 2007.

Citation: Levy, R. C., L. A. Remer, S. Mattoo, E. F. Vermote, and Y. J. Kaufman (2007), Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance, J. Geophys. Res., 112, D13211, doi:10.1029/2006JD007811.

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