1. Johan de Haan Pepijn Veefkind
Ozone Profile Product
Johan de Haan
Pepijn Veefkind

2. Physical Basis of the Algorithm

3. Algorithm Overview Optimal estimation (Rodgers)
A-priori: Fortuin & Kelder climatology
Forward model: on-line radiative transfer (new Labos code)
Non-linear => iterative solution (start with a-priori)
Use O2-O2 cloud product for cloud pressure and (initial) fraction
Wavelength region: 270 – 330 nm (UV1 & UV2)
Output: ozone layer column for 18 layers, a-priori, averaging kernel, DFS, error covariance, diagnostics, meta-data

4. Averaging Kernels
Images: Ben Veihelmann

5. Fit Parameters Ozone profile (18 layers) Surface Albedo (UV1 and UV2)
Optional fit parameters:
NO2 column
SO2 column
Cloud fraction
aerosol optical thickness (at 400 nm)

6. Algorithm Features
Optional fit parameters: NO2 column, SO2 column, aerosol optical thickness (at 400 nm)
Use Cabannes-Raman scattering to account for Ring effect
RT calculations for 45 wavelengths and special interpolation sufficient to cover 270 – 330 nm.
Use polarization correction LUT
Use Chebyshev expansion of reflectance => convolution of radiance with slit function partly stored in LUT

7. Data Processing
All data from March 2005 until present have been reprocessed
Data is available on the TLCF and the Aura Validation Site
OMO3PR is released provisionally

9. Example Zonal Average Date: 2005-10-01 Units: log(~vmr) -90 90 -45 45
-45 45
1000
150 20 2 14 22 44
Date:
Units: log(~vmr)

10. Examples of Stratospheric Column

11. Examples of Stratospheric Column

12. Example of Comparision with MLS
VMR

13. To Do List Validation with sondes; Comparison with MLS, GOMOS, etc.;
Investigate the oscillations;
Re-assess the ozone a-priori profiles and covariances;
To include a ozone hole mode in the algorithm;
To investigate possible instrument effects;