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Matthew Cooper, Randall Martin Dalhousie University Bastien Sauvage Universit é de Toulouse, CNRS

Evaluation of Tropical Upper Tropospheric Ozone from ACE-FTS and MAESTRO; Estimation of Ozone Production Efficiency. Matthew Cooper, Randall Martin Dalhousie University Bastien Sauvage Universit é de Toulouse, CNRS Catherine Wespes Universit é Libre de Bruxelles ACE Team.

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Matthew Cooper, Randall Martin Dalhousie University Bastien Sauvage Universit é de Toulouse, CNRS

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  1. Evaluation of Tropical Upper Tropospheric Ozone from ACE-FTS and MAESTRO; Estimation of Ozone Production Efficiency Matthew Cooper, Randall Martin Dalhousie University Bastien Sauvage Université de Toulouse, CNRS Catherine Wespes Université Libre de Bruxelles ACE Team

  2. Why look at O3 and HNO3? • Upper tropospheric HNO3, O3 highly influenced by lightning. • Lightning NOx source is poorly understood • High quality O3, HNO3 measurements could be used to reduce lightning emissions uncertainty

  3. Satellite Observations • ACE-FTS, MAESTRO • Most validations done in stratosphere • ACE-FTS typically 5% higher than other satellite instruments (Dupuy et al, ACPD 2008) • MAESTRO-sondes within 5-10% 16-30 km, larger difference below 16 km (Kar et al JGR 2007) • Less validation done in troposphere • ACE-FTS biased high 18-25% compared to sondes and aircraft (Hegglin et al ACP 2008)

  4. Ozone Observations for Comparison SHADOZ ozonesondes launched 2x a month starting 1998 MOZAIC: instruments onboard passenger aircraft measure O3, H2O since 1994

  5. Satellite Observations In Situ Measurements The “Truth” • Direct comparisons of satellite data to aircraft or sondes is difficult • Sonde locations and flight paths limited in space • Number of coincident observations small

  6. Satellite Observations In Situ Measurements The “Truth” Better to use a model as an intermediary step: Compare in situ measurements with model, then compare model to satellite observations.

  7. Finding the Troposphere • Thermal tropopause (NCEP) best in tropics • Dynamic tropopause (ECMWF PV fields) best at mid-latitudes • Used lowest of the two Tropopause Height (km)

  8. Tropospheric Ozone Maps GEOS-Chem simulation for 2000 MOZAIC August 1994 – August 2006, SHADOZ Jan 1998- Dec 2004 ACE-FTS v2.2 Ozone Update March 2004-December 2008

  9. Tropospheric Ozone Maps GEOS-Chem simulation for 2000 MOZAIC August 1994 – August 2006, SHADOZ Jan 1998- Dec 2004 MAESTRO v1.2 March 2004-March 2008

  10. Ozonesonde MOZAIC GEOS-Chem ACE-FTS MAESTRO Number of observations used displayed on plots

  11. Ozonesonde MOZAIC GEOS-Chem ACE-FTS MAESTRO Model agrees well with ozonesondes and MOZAIC Significant differences between satellites and in situ observations

  12. Mean Profile Bias • ACE-FTS biased high on average • 15% from sondes • 13% from MOZAIC • MAESTRO • 30% lower than MOZAIC from 10-12 km • 40% higher than sondes from 12-14 km

  13. Model – Satellite Comparison • ACE-FTS and MAESTRO annual mean tropical (20N-20S) profile • GEOS-Chem simulation sampled at satellite profile locations • ACE-FTS bias 12% • MAESTRO bias • 34% above 14km • -40% below 14km ACE-Model MAESTRO-Model

  14. Future Work: HNO3 evaluation Z (km) MOZAIC NOy measurements AVE-0410 AVE-0506 CR-AVE (0601) NASA Aura Validation Experiment Will study ACE-FTS HNO3 product in troposphere in similar manner

  15. Ozone Production Efficiency ACE-FTS Data 20N – 20S 10.5 km Medium correlation expected due to additional HNO3 sources/sinks in upper troposphere Value within range given by model (100-150 mol/mol, Sauvage et al JGR 2007) First measurement of OPE using satellite data Improvements in HNO3 and O3 data may reduce uncertainty Longitude OPE = 120 ±11mol/mol r = 0.58

  16. Summary • ACE-FTS O3 biased high compared to MOZAIC and ozonesondes • ACE –sondes 15% • ACE –MOZAIC 13% • ACE –GEOS-Chem 12% • MAESTRO O3 bias altitude dependant • 30% lower than MOZAIC 10-12km • 40% higher than sondes 12-14km • ACE-FTS measurements can be used to calculate ozone production efficiency

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