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Evaluation of GMI simulations with TES ozone data: indirect validation of TES

Evaluation of GMI simulations with TES ozone data: indirect validation of TES. Jennifer Logan, Bryan Duncan, Jose Rodriguez, Lin Zhang, Inna Megretskaia, and the TES and GMI Science Teams Harvard University and NASA/GFSC. AGU, December 15, 2006.

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Evaluation of GMI simulations with TES ozone data: indirect validation of TES

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  1. Evaluation of GMI simulations with TES ozone data: indirect validation of TES Jennifer Logan, Bryan Duncan, Jose Rodriguez, Lin Zhang, Inna Megretskaia, and the TES and GMI Science Teams Harvard University and NASA/GFSC AGU, December 15, 2006

  2. The Global Modeling Initiative (GMI) ‘Combo’ Model • ‘Combo’ = tropospheric + stratospheric chemical mechanism (122 species, >300 thermolytic rxns, 78 photolytic rxns) • Stratospheric heritage from Goddard model • Tropospheric heritage in part from GEOS-Chem • Meteorological fields from GEOS-4: DAS, DAS Forecast and GCM • 2° latitude x 2.5° longitude resolution • ~1 km resolution below 10 hPa (lid at 0.015 hPa) • 3 hr updates using 3-hr averages

  3. GMI and Aura • The Combo model has been run using assimilated meteorological fields for the Aura period (so far, Feb. 2004-Dec. 2005). • This model output is available to the community for Aura science. • We have been evaluating the Combo simulation for the troposphere and comparing to TES ozone data. • Daily ozone fields were archived. • Note – these are preliminary results, model updates are in progress. • In the next, improved version, daily ozone, CO and other fields will be archived, as required by the Aura teams.

  4. Strategy • By evaluating the model with in-situ data, we learn where the model does well and where there are deficiencies. Profile data available for ~50 locations (sondes and MOZAIC). • Having “calibrated” the model performance, compare the model and TES ozone. • If the model and TES agree where we know the model does well, we are confident that the discrepancies in other regions are “real”. • Explore the causes of these discrepancies

  5. Ozone at N. extratropics, DAS andFVGCM The DAS run looks great for tropospheric ozone (see gmi.gsfs.nasa.gov for strat. evaluation by S. Strahan).

  6. Sub-tropics and tropics, DAS and FVGCM DAS very low in BB season (NH and SH) in S. Atlantic

  7. Ozone at 500hPa (MOZAIC data) FVGCM DAS South U.S. E. Atlantic Middle East S. Asia

  8. DAS vs. in-situ data500 hPa JULY OCTOBER

  9. TES – DAS comparisons • Focus on July to December, 2005. • TES data much sparser before July 2005, before routine limb soundings were dropped. • TES validation with sondes shows TES is biased high by ~5 ppb at 500 hPa (Nassar et al., Richards et al). • Model sampled at TES profile locations on same day, and AKs and prior applied. • TES prior from MOZART model • Results gridded on 2x2.5 grid • Difference [(DAS with AK) –TES] removes prior

  10. Combo-DAS vs. TES ozone, 511 hPa, July 2005 TES DAS (removes prior) DAS (w. AK/prior) –TES DAS with AK

  11. Are TES comparisons consistent with validation of Combo-DAS using in-situ data? TES comparison in July implies DAS is: • Too low in N. tropical Atlantic • Too high over U.S. • Too low over W. Europe • OK in Middle East • OK in S. Atlantic • TES results consistent with in-situ data where available • Indirect validation of TES possible • Shows model deficiencies

  12. Combo-DAS vs. TES ozone, 511 hPa, October, 2005

  13. In situ data confirms the underestimate over the S. tropical Atlantic, and in the large scale ozone plume TES comparisons show the extent of the underestimate

  14. Combo-DAS vs. TES, December, 2005

  15. DAS –TES Differences, July – December Regions where model is too high, as well as too low JULY OCT. AUG. NOV DEC SEPT.

  16. Summary • The COMBO-DAS looks remarkably like sonde/MOZAIC data in many regions • Major discrepancies from sonde/MOZAIC data are in the tropical Atlantic sector, in the biomass burning season • TES comparisons show the spatial extent of the underestimate of ozone in: • the N. tropical Atlantic in July, less so in August • N and S. tropical Atlantic in August • Brazil, equatorial Atlantic and Africa in October, November • Central Africa in December • They show regions of overestimate of ozone in: • Eastern Indian Ocean in October - December • Next step: Improved emissions of NOx in model, use Forecast fields (Duncan et al. ).

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