Presentation is loading. Please wait.

Presentation is loading. Please wait.

Status of the Development of a Tropospheric Ozone Product from OMI Measurements Jack Fishman 1, Jerald R. Ziemke 2,3, Sushil Chandra 2,3, Amy E. Wozniak.

Published byWinfred Nash Modified over 8 years ago

Similar presentations

Presentation on theme: "Status of the Development of a Tropospheric Ozone Product from OMI Measurements Jack Fishman 1, Jerald R. Ziemke 2,3, Sushil Chandra 2,3, Amy E. Wozniak."— Presentation transcript:

1 Status of the Development of a Tropospheric Ozone Product from OMI Measurements Jack Fishman 1, Jerald R. Ziemke 2,3, Sushil Chandra 2,3, Amy E. Wozniak 1,4,5 and John K. Creilson 1,4 1 NASA Langley Research Center 2 NASA Goddard Space Flight Center 3 Goddard Earth Science and Technology Center, University of Maryland Baltimore County 4 SAIC International Inc. 5 Also at NASA Goddard Space Flight Center 10 th OMI Science Team Meeting KNMI DeBilt, Netherlands 16 June 2005

2 Separate Stratosphere from Troposphere to Compute Tropospheric Ozone Residual (TOR) Heritage of Tropospheric Ozone from Satellites

3 Other Data Sets Are Required To Separate Tropospheric Ozone from Total Ozone Measurements Previous Studies SAGE: Good Vertical Resolution; Poor Spatial Coverage HALOE: Good Vertical Resolution; Poor Spatial Coverage MLS: Vertical Resolution Only >68 mb; Relatively Good Spatial Coverage Only One Archived Layer below 100 mb SBUV: Poor Vertical Resolution; Good Spatial Coverage Archived Layers: 1000–253 mb; 253-126 mb; 126-63 mb Stratospheric Fields Generated from 5 Days of Data Tropopause Heights: Archived Gridded Data Sets 2.5° x 2.5° For Aura Studies HIRDLS: 4° latitude x 5° longitude Tropopause Heights: Use Assimilated Data from DAO Possible Use of OMI Vertical Profiles Averaged Over Each Orbit Derive Tropospheric Ozone Using Convective Cloud Differential Methodology From Original Proposal

4 SAGE/TOMS Tropospheric Ozone Residual (TOR) Seasonal Depictions Dobson Units

5 Seasonal Depictions of Climatological Tropospheric Ozone Residual (TOR) 1979-2000 December - February September - NovemberJune - August March - May Dobson Units (DU) from Fishman, Wozniak, Creilson, Atmos. Chem. Phys., 3, 2003

6 Regional Enhancements Not Previously Seen Now Found Comparison of TOMS/SAGE TOR with TOMS/SBUV TOR: Regional Enhancements Not Previously Seen Now Found Dobson Units (DU) TOMS/SBUV TOR: June-July-August Climatology (1979-1991) TOMS/SAGE TOR: June-July-August Climatology (1979-1991)

7 Integrated Tropospheric Ozone (Dobson Units) Tropospheric Ozone Residual (Jun-Aug Climatology) Fishman et al. [2003, ACP, 3, 1453] Measurement of Ozone Precursors such as Nitrogen Dioxide (NO 2 ) on Aura will Provide Important Information that Should Lead to a New Understanding of the Origin and Distribution of Global Ozone (Smog) Pollution

8 Other Data Sets Are Required To Separate Tropospheric Ozone from Total Ozone Measurements Previous Studies SAGE: Good Vertical Resolution; Poor Spatial Coverage HALOE: Good Vertical Resolution; Poor Spatial Coverage MLS: Vertical Resolution Only >68 mb; Relatively Good Spatial Coverage Only One Archived Layer below 100 mb SBUV: Poor Vertical Resolution; Good Spatial Coverage Archived Layers: 1000–253 mb; 253-126 mb; 126-63 mb Stratospheric Fields Generated from 5 Days of Data Tropopause Heights: Archived Gridded Data Sets 2.5° x 2.5° For Aura Studies HIRDLS: 4° latitude x 5° longitude Tropopause Heights: Use Assimilated Data from DAO Possible Use of OMI Vertical Profiles Averaged Over Each Orbit

9 HIRDLS Daily Profile Coverage Will Provide Sufficient Information to Derive 3-Dimensional Stratospheric Ozone Distribution Down to 1 km Below Tropopause Current SBUV Daily Resolution

10 Other Data Sets Are Required To Separate Tropospheric Ozone from Total Ozone Measurements Previous Studies SAGE: Good Vertical Resolution; Poor Spatial Coverage HALOE: Good Vertical Resolution; Poor Spatial Coverage MLS: Vertical Resolution Only >68 mb; Relatively Good Spatial Coverage Only One Archived Layer below 100 mb SBUV: Poor Vertical Resolution; Good Spatial Coverage Archived Layers: 1000–253 mb; 253-126 mb; 126-63 mb Stratospheric Fields Generated from 5 Days of Data Tropopause Heights: Archived Gridded Data Sets 2.5° x 2.5° For Aura Studies HIRDLS: 4° latitude x 5° longitude HIRDLS Data Not Available: Using MLS Data Tropopause Heights: Use Assimilated Data from DAO Possible Use of OMI Vertical Profiles Averaged Over Each Orbit

11 Daily Product Derived from OMI/MLS (Plotted as average volume mixing ratio)

12 Monthly Product Derived from OMI/MLS (Plotted as average volume mixing ratio)

13 Other Data Sets Are Required To Separate Tropospheric Ozone from Total Ozone Measurements Previous Studies SAGE: Good Vertical Resolution; Poor Spatial Coverage HALOE: Good Vertical Resolution; Poor Spatial Coverage MLS: Vertical Resolution Only >68 mb; Relatively Good Spatial Coverage Only One Archived Layer below 100 mb SBUV: Poor Vertical Resolution; Good Spatial Coverage Archived Layers: 1000–253 mb; 253-126 mb; 126-63 mb Stratospheric Fields Generated from 5 Days of Data Tropopause Heights: Archived Gridded Data Sets 2.5° x 2.5° For Aura Studies HIRDLS: 4° latitude x 5° longitude HIRDLS Data Not Available: Using MLS Data Tropopause Heights: Use Assimilated Data from DAO Use Ozone from NOAA’s GFS (Global Forecast System) Model Possible Use of OMI Vertical Profiles Averaged Over Each Orbit

14 GFS Model Run at t 0-24 to Forecast Stratospheric Column O 3 for t 0 Calculate TOR Product at t 0 Isolate “Hot Spots” and Run Trajectory Ensemble with NOAA’s HYSPLIT Generate Guidance Product for t 0+24 Disseminate Guidance Product to Air Quality Forecasters Providing Guidance Products to Air Quality Forecasters SCO at t 0-24 SCO at t 0 TOR at t 0 TOR at t 0+24 OMI on Aura Total O 3 from OMI

15 OMI Total Ozone 5-8 Nov 2004

16 GFS Model Output SCO (100 -10 hPa) 4-8 Nov 2004

17 Calculated TOR 4-8 Nov 2004

18 HYSPLIT Forward Trajectories Show High TOR on 6-7 November May Have Come from Fire Emissions Several Days Earlier MODIS Aerosol 5 Nov TOR - 6 Nov TOR - 7 Nov Preliminary Results Encouraging! Much More Analysis Still Needed!

19

20 OMI/GFS TOR OMI/MLS TOR Comparison of TOR Products:

21 Weekly OMI/GFS TOR for March

22 Weekly OMI/GFS TOR for April

23 Weekly OMI/GFS TOR for May

24 Daily OMI/GFS TOR for May

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48 Public Release GFS + ClimatologyNative GFS Use of Complete GFS Product Should Improve TOR Current Calculations Use O 3 from GFS 10hPa-100hPa

49 Other Data Sets Are Required To Separate Tropospheric Ozone from Total Ozone Measurements Previous Studies SAGE: Good Vertical Resolution; Poor Spatial Coverage HALOE: Good Vertical Resolution; Poor Spatial Coverage MLS: Vertical Resolution Only >68 mb; Relatively Good Spatial Coverage Only One Archived Layer below 100 mb SBUV: Poor Vertical Resolution; Good Spatial Coverage Archived Layers: 1000–253 mb; 253-126 mb; 126-63 mb Stratospheric Fields Generated from 5 Days of Data Tropopause Heights: Archived Gridded Data Sets 2.5° x 2.5° For Aura Studies HIRDLS: 4° latitude x 5° longitude HIRDLS Data Not Available: Using MLS Data Tropopause Heights: Use Assimilated Data from DAO Using Information from NOAA’s GFS Possible Use of OMI Vertical Profiles Averaged Over Each Orbit Not Tried Yet

50 Validation of Measurements Challenging Stratospheric Column Ozone Derived from SBUV Agrees with SCO Derived from SAGE Profiles and with Available Ozonesonde Measurements:

51 Proposed: HIRDLS to Provide Stratospheric O 3 Profiles ~2 km resolution Actual: Using MLS Data to Derive TOR Challenge: Accuracy of Lower Stratospheric Data at Mid-latitudes Proposed: Use DAO to Provide Tropopause Heights Actual: Using GFS to Determine Stratospheric O 3 and Tropopause Heights Challenges: GFS O 3 not “user-friendly” O 3 calculated only from 100 hPa to 10 hPa initially using climatology to complete SCO Proposed: Use OMI Vertical Profiles to Calculate SCO Actual: Have not tried to obtain OMI stratospheric profiles (availability?) Study using SBUV shows good agreement with SAGE & O 3 sondes Proposed: Use Convective Cloud Differential Technique Actual: Preliminary results Tropospheric Ozone from OMI: Where are we?

52

53 Tropospheric Ozone from OMI Using CCD Method

54 Unforeseen Developments Use of Satellite Data to Calculate Tropospheric Data in Near-Real-Time Successfully demonstrated for MODIS to calculate aerosol data Derivation of Tropospheric Ozone Directly from OMI Satellite Measurement Validation: Extremely Difficult for Troposphere

55 Direct Measurement of Tropospheric Ozone from GOME Recently Demonstrated (Data Courtesy of K. Chance, SAO)

56 TOMS/SBUV TOR Comparison of Tropospheric Ozone Derived Directly from GOME with TOMS/SBUV TOR GOME (Data Courtesy of K. Chance, SAO)

57 Validation! Validation! Validation! Extremely Difficult for Troposphere Sensitivity of Backscatter Signal in Lower Troposphere Direct Underflights from Aircraft: Can never be completely synchronous Climatological Comparisons: How meaningful for near-real-time comparisons?

58 Comparison of TOR with O 3 from UV-DIAL during TRACE-A Transit Flight How do we validate TOR measurements?

59 One Last Thought: Patience! We’re still a long way from where we would like to be How good did TOMS data look in 1979? OMI data will evolve

Download ppt "Status of the Development of a Tropospheric Ozone Product from OMI Measurements Jack Fishman 1, Jerald R. Ziemke 2,3, Sushil Chandra 2,3, Amy E. Wozniak."

Similar presentations

Improving the View of Air Quality from Space Jim Crawford Science Directorate NASA Langley.

Improving the View of Air Quality from Space Jim Crawford Science Directorate NASA Langley.
Results from the OMPS Nadir Instruments on Suomi NPP Satellite

Results from the OMPS Nadir Instruments on Suomi NPP Satellite
DIRECT TROPOSPHERIC OZONE RETRIEVALS FROM SATELLITE ULTRAVIOLET RADIANCES Alexander D. Frolov, University of Maryland Robert D. Hudson, University of.

DIRECT TROPOSPHERIC OZONE RETRIEVALS FROM SATELLITE ULTRAVIOLET RADIANCES Alexander D. Frolov, University of Maryland Robert D. Hudson, University of.
Interpreting MLS Observations of the Variabilities of Tropical Upper Tropospheric O 3 and CO Chenxia Cai, Qinbin Li, Nathaniel Livesey and Jonathan Jiang.

Interpreting MLS Observations of the Variabilities of Tropical Upper Tropospheric O 3 and CO Chenxia Cai, Qinbin Li, Nathaniel Livesey and Jonathan Jiang.
Constraints on the Production of Nitric Oxide by Lightning as Inferred from Satellite Observations Randall Martin Dalhousie University With contributions.

Constraints on the Production of Nitric Oxide by Lightning as Inferred from Satellite Observations Randall Martin Dalhousie University With contributions.
1 Surface nitrogen dioxide concentrations inferred from Ozone Monitoring Instrument (OMI) 12.04.2007 3 rd GEOS-Chem USERS ` MEETING, Harvard University.

1 Surface nitrogen dioxide concentrations inferred from Ozone Monitoring Instrument (OMI) rd GEOS-Chem USERS ` MEETING, Harvard University.
Predictability study using the Environment Canada Chemical Data Assimilation System Jean de Grandpré Yves J. Rochon Richard Ménard Air Quality Research.

Predictability study using the Environment Canada Chemical Data Assimilation System Jean de Grandpré Yves J. Rochon Richard Ménard Air Quality Research.
Assimilation of EOS-Aura Data in GEOS-5: Evaluation of ozone in the Upper Troposphere - Lower Stratosphere K. Wargan, S. Pawson, M. Olsen, J. Witte, A.

Assimilation of EOS-Aura Data in GEOS-5: Evaluation of ozone in the Upper Troposphere - Lower Stratosphere K. Wargan, S. Pawson, M. Olsen, J. Witte, A.
Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.

Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.
Ability of GEO-CAPE to Detect Lightning NOx and Resulting Upper Tropospheric Ozone Enhancement Conclusions When NO emissions from lightning were included.

Ability of GEO-CAPE to Detect Lightning NOx and Resulting Upper Tropospheric Ozone Enhancement Conclusions When NO emissions from lightning were included.
Two Decades of Tropospheric Ozone Observations from Satellite Measurements, the Use of these Data in Models, and Some Insight into Future Capabilities.

Two Decades of Tropospheric Ozone Observations from Satellite Measurements, the Use of these Data in Models, and Some Insight into Future Capabilities.
Cloud algorithms and applications for TEMPO Joanna Joiner, Alexander Vasilkov, Nick Krotkov, Sergey Marchenko, Eun-Su Yang, Sunny Choi (NASA GSFC)

Cloud algorithms and applications for TEMPO Joanna Joiner, Alexander Vasilkov, Nick Krotkov, Sergey Marchenko, Eun-Su Yang, Sunny Choi (NASA GSFC)
Trans-Pacific Transport of Ozone and Reactive Nitrogen During Spring Thomas W. Walker 1 Randall V. Martin 1,2, Aaron van Donkelaar.

Trans-Pacific Transport of Ozone and Reactive Nitrogen During Spring Thomas W. Walker 1 Randall V. Martin 1,2, Aaron van Donkelaar.
Intercomparison methods for satellite sensors: application to tropospheric ozone and CO measurements from Aura Daniel J. Jacob, Lin Zhang, Monika Kopacz.

Intercomparison methods for satellite sensors: application to tropospheric ozone and CO measurements from Aura Daniel J. Jacob, Lin Zhang, Monika Kopacz.
Algorithms and chemical data assimilation activities at Environment Canada Chris McLinden Air Quality Research Division, Environment Canada 2 nd TEMPO.

Algorithms and chemical data assimilation activities at Environment Canada Chris McLinden Air Quality Research Division, Environment Canada 2 nd TEMPO.
EOS CHEM. EOS CHEM Platform Orbit: Polar: 705 km, sun-synchronous, 98 o inclination, ascending 1:45 PM +/- 15 min. equator crossing time. Launch date.

EOS CHEM. EOS CHEM Platform Orbit: Polar: 705 km, sun-synchronous, 98 o inclination, ascending 1:45 PM +/- 15 min. equator crossing time. Launch date.
TRENDS IN ATMOSPHERIC OZONE FROM A LONG-TERM OZONE CLIMATOLOGY Jane Liu 1,2, D. W. Tarasick 3, V. E. Fioletov 3, C. McLinden 3, J. H. Y. Jung 1, T. Zhao.

TRENDS IN ATMOSPHERIC OZONE FROM A LONG-TERM OZONE CLIMATOLOGY Jane Liu 1,2, D. W. Tarasick 3, V. E. Fioletov 3, C. McLinden 3, J. H. Y. Jung 1, T. Zhao.
S5P tropospheric ozone product: Convective Cloud Differential method First German S5P Verification Meeting Bremen, 28 - 29 November 2013 Pieter Valks DLR,

S5P tropospheric ozone product: Convective Cloud Differential method First German S5P Verification Meeting Bremen, November 2013 Pieter Valks DLR,
Upper Tropospheric Ozone and Relative Humidity with respect to Ice: Seasonal Inter-comparison between GEOS CCM, MOZAIC and MLS Richard Damoah 1, H. B.

Upper Tropospheric Ozone and Relative Humidity with respect to Ice: Seasonal Inter-comparison between GEOS CCM, MOZAIC and MLS Richard Damoah 1, H. B.
Assessment of SBUV Profile Algorithm Using High Vertical Resolution Sensors Assessment of SBUV Profile Algorithm Using High Vertical Resolution Sensors.

Assessment of SBUV Profile Algorithm Using High Vertical Resolution Sensors Assessment of SBUV Profile Algorithm Using High Vertical Resolution Sensors.

Similar presentations

Ads by Google