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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 3, issue 4
Atmos. Meas. Tech., 3, 1129–1141, 2010
https://doi.org/10.5194/amt-3-1129-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 3, 1129–1141, 2010
https://doi.org/10.5194/amt-3-1129-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.

  25 Aug 2010

25 Aug 2010

Fast and simple model for atmospheric radiative transfer

F. C. Seidel1, A. A. Kokhanovsky2, and M. E. Schaepman1 F. C. Seidel et al.
  • 1Remote Sensing Laboratories, University of Zurich, Winterthurerstr. 190, 8057 Zurich, Switzerland
  • 2Institute of Environmental Physics, University of Bremen, O. Hahn Allee 1, 28334 Bremen, Germany

Abstract. Radiative transfer models (RTMs) are of utmost importance for quantitative remote sensing, especially for compensating atmospheric perturbation. A persistent trade-off exists between approaches that prefer accuracy at the cost of computational complexity, versus those favouring simplicity at the cost of reduced accuracy. We propose an approach in the latter category, using analytical equations, parameterizations and a correction factor to efficiently estimate the effect of molecular multiple scattering. We discuss the approximations together with an analysis of the resulting performance and accuracy. The proposed Simple Model for Atmospheric Radiative Transfer (SMART) decreases the calculation time by a factor of more than 25 in comparison to the benchmark RTM 6S on the same infrastructure. The relative difference between SMART and 6S is about 5% for spaceborne and about 10% for airborne computations of the atmospheric reflectance function. The combination of a large solar zenith angle (SZA) with high aerosol optical depth (AOD) at low wavelengths lead to relative differences of up to 15%. SMART can be used to simulate the hemispherical conical reflectance factor (HCRF) for spaceborne and airborne sensors, as well as for the retrieval of columnar AOD.

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