1. Chemical Data Assimilation: Aerosols - Data Sources, availability and needs Raymond Hoff Physics Department/JCET UMBC

2. Assimiliation – real time or retrospective? Very little aerosol number distribution or mass data is available in a real-time sense Much of the data which exists is at P=1000 mb Remote sensing data (vertical dimension) uses optical extrinsic variables (extinction, scattering, absorption coefficients, AOD, albedo) Some retrievals of aerosol size and indices of refraction are available (e.g. AERONET, MISR) Assimiliation of these data involves another model

3. "Traditional" Data Sources: Surface data - retrospective Courtesy Jim Szykman, EPA

4. Surface Data - Real Time AIRNoW Courtesy Jim Szykman, EPA CAMMS TEOM Nephelometer Beta Attenuation

5. Surface Sites - speciation Courtesy Jim Szykman, EPA

6. Current Sources of Aerosol Data Source: Hoff et al. (2005)

7. Column measurements - MODIS Courtesy: J. Engel-Cox July 9, 2000

8. A good IDEA Courtesy: CIMSS, UW

9. Linking optical properties and mass concentration Engel-Cox et al. 2004

10. Baltimore, MD Summer 2004 MODIS Aerosol Optical Depth PM 2.5 (  g/m 3 ) July 9 High altitude smoke July 21 Mixed down smoke Courtesy EPA/UWisconsin Old Town TEOM MODIS AOD

11. Smoke mixing in Maryland 20-22 July 2004

12. The Regional East Atmospheric Lidar Mesonet (REALM) A subsidiary of FARLINET

13. U.S. Air Quality (The Smog Blog), http://alg.umbc.edu/usaq Over 1,000,000 hits over 19 months ~ 10,000 visits per month ~800 unique visitors per week including EPA, NASA, NOAA, & States Daily posts NASA satellite images, EPA data, etc. Index & Links

14. http://alg.umbc.edu/REALM Data for: September 1, 2004 Click on a REALM Participant for their LIDAR data.

15. REALM: Wisconsin lidar for July 2004 Eloranta, U. Wisc

16. July 17 July 18 July 19 MODIS

17. 19 July 200421 July 2004

18. Mission Concept CALIPSO

19. GOCART Aerosol Species Prognostic variables in aerosol phase sulfate, black carbon (hydrophobic and hydrophilic), organic carbon (hydrophobic and hydrophilic), dust (five size bins), sea salt (four size bins), ammonium, nitrate Prognostic variables in gaseous phase hydrogen peroxide, ozone, sulfur dioxide, DMS, MSA, ammonia, nitric acid, hydroxyl radical Prognostic variables in aqueous phase sulfide, sulfate, hydrogen peroxide, ammonium, nitrate

20. Assimilate in the near future? PM 2.5 surface (TEOMS) Real-time speciation AOD PBL height PM 2.5 - lidar backscatter correlations PM profiles PM speciation fractions

21. Further discussion topics Vertical dimension Mass conservation Divergence/convergence/loss Speciation vs height

22. 10 July 2004, am Alaskan Smoke over Maryland 9 July 2004

23. 8/17/04 8/16/048/15/04 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 A comparison of aerosol optical depth simulated using CMAQ with satellite estimates, B. Roy et al. 2005

24. Numerical skill Assessment of Eta-CMAQ Forecasts of Particulate Matter - Mathur et al. (2005) AMS Meeting 7/18/04 7/19/047/20/04 7/21/047/22/04 7/23/04 5 10 15 20 25 30 35 μg/m 3 Modeled and Observed Variations in Daily Average Surface PM 2.5

25. 7/167/177/187/197/20 7/22 July 16-22, 2004: Evidence of Effects of Long Range Transport Originating Outside the Modeled Domain Evolution of Model and Observed Aerosol Optical Depth MODIS Model Transport from outside the domain influences observed PM concentrations which are grossly under-predicted during this period Model picks up spatial signatures ahead of the front Under predictions behind the front (due to LBCs) 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

26. Aerosol vertical structure - LITE

27. US Cities

28. Regional Scale Haze Wash. D.C.Bermuda

29. MISR (haze)