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Vijay Natraj (California Institute of Technology) Hartmut Bösch (Jet Propulsion Laboratory) Yuk Yung (California Institute of Technology). Quantifying Aerosol Types and Their Impact on Trace Gas Retrievals From Satellite Measurements.

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Vijay Natraj (California Institute of Technology) Hartmut Bösch (Jet Propulsion Laboratory)Yuk Yung (California Institute of Technology)

Quantifying Aerosol Types and Their Impact on Trace Gas Retrievals From Satellite Measurements

AGU Fall Meeting December 4, 2005


Major source of retrieval uncertainty

Photon path length is enhanced through multiple scattering by aerosols

Incident light

Light reaching the detector

Aerosol Layer 1

Aerosol Layer 2

Ground surface

Major Source of Retrieval Uncertainty

AGU Fall Meeting December 4, 2005


Global aerosol climatology
Global Aerosol Climatology by aerosols

Courtesy: Kahn et al, 2001

AGU Fall Meeting December 4, 2005


Aerosol optical properties
Aerosol Optical Properties by aerosols

  • Each mixing group is a combination of 4 different aerosol components from a basic set of 7 (Kahn et al., 2001).

  • Sulfate (land/water), seasalt, carbonaceous, black carbon: spherical => Mie code (de Rooij and van der Stap, 1984)

  • Mineral dust (accumulated/coarse): mixture of oblate and prolate spheroids => T-matrix code (Mishchenko and Travis, 1998)

  • Lognormal distribution

  • Polarization fully considered

AGU Fall Meeting December 4, 2005


Scattering matrix 755 nm
Scattering Matrix (755 nm) by aerosols

AGU Fall Meeting December 4, 2005


Forward model details
Forward Model Details by aerosols

  • Park Falls, Wisconsin, July (SZA = 31 degrees)

  • Exponential drop-off in aerosol extinction (scale height: ~ 1 km, optical depth: 0.1)

  • OCO spectral regions

  • Forward model: RADIANT (Christi, CSU) + single scattering approximation for polarization

  • Lorentzian instrument lineshape function (resolving powers: O2A band: 17000, CO2 bands: 20000)

AGU Fall Meeting December 4, 2005


Weighting functions o 2 a band
Weighting Functions (O by aerosols2A Band)

AGU Fall Meeting December 4, 2005


Weighting functions weak co 2 band
Weighting Functions (Weak CO by aerosols2 Band)

AGU Fall Meeting December 4, 2005


Weighting functions strong co 2 band
Weighting Functions (Strong CO by aerosols2 Band)

AGU Fall Meeting December 4, 2005


Retrieval groups single scattering albedo
Retrieval Groups: Single Scattering Albedo by aerosols

AGU Fall Meeting December 4, 2005


Retrieval groups normalized extinction coefficient
Retrieval Groups: Normalized Extinction Coefficient by aerosols

AGU Fall Meeting December 4, 2005


Sensitivity tests
Sensitivity Tests by aerosols

  • Measurement error: 0.43 ppm

  • Smoothing error: 0.29 ppm

  • Error due to incorrect assumption of aerosol type within retrieval group

    • Group 1: 0.27 ppm

    • Group 2: 0.02 ppm

    • Group 3: 0.03 ppm

AGU Fall Meeting December 4, 2005


Conclusions
Conclusions by aerosols

  • Aerosol retrieval groups determined from basic aerosol mixing groups

  • Choosing incorrect mixing group within retrieval group leads to small errors

  • Need to test more scattering geometries to validate retrieval types

  • More realistic aerosol profiles need to be included

AGU Fall Meeting December 4, 2005


Acknowledgments
Acknowledgments by aerosols

  • OCO L2 Team (JPL)

  • Matt Christi (CSU)

  • Michael Mishchenko (GISS)

  • Olga Kalashnikova and Ralph Kahn (JPL)

AGU Fall Meeting December 4, 2005


Related talks posters
Related Talks/Posters by aerosols

  • Charles Miller (A14C-02)

  • Hartmut Boesch (A12D-05)

  • Gretchen Aleks (A33B-0883)

AGU Fall Meeting December 4, 2005


Importance of polarization
Importance of Polarization by aerosols

  • Need to consider both atmospheric/surface and instrumental polarization

AGU Fall Meeting December 4, 2005


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