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Radiative transfer codes for atmospheric correction and aerosol retrieval: intercomparison study.

Svetlana Y Kotchenova1, Eric F Vermote, Robert Levy

  • 1Department of Geography, University of Maryland, 4321 Hartwick Road, Suite 209, College Park, Maryland 20740, USA. skotchen@ltdri.org

Applied Optics
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PubMed
Summary

This study compared four atmospheric radiative transfer codes used in satellite data processing. Differences were found, impacting aerosol optical thickness and surface reflectance retrieval.

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Area of Science:

  • Atmospheric Science
  • Remote Sensing
  • Radiative Transfer Theory

Background:

  • Satellite data processing relies on accurate atmospheric radiative transfer codes.
  • Variations in these codes can introduce uncertainties in retrieved geophysical parameters.
  • Inter-comparison of widely used codes is essential for data validation.

Purpose of the Study:

  • To compare the performance of four atmospheric radiative transfer codes: 6SV1.1, RT3, MODTRAN, and SHARM.
  • To evaluate the impact of code differences on satellite data processing algorithms.
  • To assess the influence of these differences on retrieved aerosol optical thickness and surface reflectance.

Main Methods:

  • Performance testing of 6SV1.1, RT3, MODTRAN, and SHARM against established benchmarks.
  • Utilizing Coulson's tabulated values and a Monte Carlo code for validation.
  • Theoretical estimation of the influence of code discrepancies using mathematical modeling.

Main Results:

  • Identified performance variations among the four radiative transfer codes.
  • Quantified the theoretical impact of these variations on key retrieval parameters.
  • Demonstrated the necessity of code inter-comparison for robust satellite data analysis.

Conclusions:

  • The choice of atmospheric radiative transfer code can significantly affect satellite data product accuracy.
  • Understanding and mitigating code-specific biases are crucial for reliable remote sensing applications.
  • Further validation and standardization of radiative transfer codes are recommended.