http://capitawiki.wustl.edu/index.php/20051112_Characterization_of_Aerosol_Events_using_the_Federated_Data_System%2C_DataFed

1. Characterization of Aerosol Events using the Federated Data System, DataFed R.B. Husar and S.R. Falke Washington University in St. Louis Presented at EPA – OAQPS Seminar Research Triangle Park, NC, November 1, 2005

3. NAAMS: National Ambient Air Monitoring Strategy and NCore … coordinated multi-pollutant real-time monitoring network

5. Dust, Smoke and Exceptional Events Intercontinental Dust Smoke Event July 4 2004 July 4 2003

8. AIRNOW PM25 - ASOS RH- Corrected Bext July 21, 2004 July 22, 2004 July 23, 2004 ARINOW PM25 ARINOW PM25 ARINOW PM25 ASOS RHBext ASOS RHBext ASOS RHBext

9. Quebec Smoke July 7, 2002 Satellite Optical Depth & Surface ASOS RHBext

12. Bext Distribution Function Albany Sigma g = 3.75 Charlotte Sigma g = 1.56 Upper 20 percentile contribution: Notheast > 50% of dosage Southeast < 30% of dosage 1979

16. The largest EUS Regional PM Event: Nov 15, 2005

17. Early Satellite Detection of Manmade Haze, 1976 Regional Haze Low Visibility Hazy ‘Blobs’ Lyons W.A., Husar R.B. Mon. Weather Rev. 1976 SMS GOES June 30 1975

18. SeaWiFS AOT – Summer 60 Percentile 1 km Resolution

19. Satellite Aerosol Optical Thickness Climatology SeaWiFS Satellite, Summer 2000 - 2003 20 Percentile 99 Percentile 90 Percentile 60 Percentile

20. Average and 98 Percentile Pattern SO4 PM2.5 Mass PM2.5 Mass OC OC SO4 A V E R A G E 98 Percentile

26. OCSB, OCSoot and PM25 Seasonal Pattern Average over 2000-2004 period PM25Mass OCSB SmokeBio OCSoot Day of Year Mexican Smoke Agricultural Smoke Urban Soot

27. OC SmokeBiogenic Spatial Pattern Dec Jan Feb Sep Oct Nov Mar Apr May Jun Jul Aug

28. Soot Spatial Pattern Dec Jan Feb Sep Oct Nov Mar Apr May Jun Jul Aug Jun Jul Aug

29. PM2.5 (blue) and SmokeBioMass (red) Note: Smoke events are spikes superimposed on biogenic OC background Smoke Events Kansas Agric. Smoke

30. Example OC Smoke Events Note: Smoke events are spikes superimposed on biogenic OC background Smoke Events

31. GRSM Seasonal Pattern of Percentiles PM25 OC SO4 Soil Episodic Episodic OC in Fall dominates episodicity - Smoke Organics?

34. FASTNET: Inter-RPO pilot project, through NESCAUM, 2004 Web-based data, tools for community use Built on DataFed infra-structure, NSF, NASA Project fate depends on sponsor, user evaluation

36. Conceptual Diagram of an Emissions Community XML GIS Estimation Methods RDBMS Geospatial One-Stop Transport Models Emissions Inventory Catalog Users & Projects Web Tools/Services Emissions Inventories Data Data Catalogs Activity Data Spatial Allocation Comparison of Emissions Methods Data Analysis Model Development Wrappers Emissions Factors Surrogates Report Generation Mediators / Portal

37. North American Commission for Environmental Cooperation Web Application Report http:// www.cec.org /files/PDF/ POLLUTANTS/ PowerPlant_AirEmission_en.pdf http:// webapps.datafed.net/dvoy_services / datafed.aspx?page = PowerPlant_Emissions 2002 North American Powerplant Emissions

38. Spatial-temporal analysis of fire counts http:// webapps.datafed.net/dvoy_services/datafed.aspx?page =Fire_Pixel_Count_AK Large fires during the summer of 2004 in Central Alaska. Spatially aggregated count of fire pixels over a 100km 2 area. The size of each red square in the map is proportional to the number of fire pixels. The spatial aggregation allows the generation of a time series for each aggregated area.

39. BLM Area burned - monthly average The acres burned in the BLM compiled fire history dataset are spatially aggregated on a 50km 2 grid and temporally aggregated to a monthly resolution. Circles are proportional to the acres burned at a location for a particular year and month. Time series plot shows the monthly total number of acres burned at a particular 50km2 area. http:// webapps.datafed.net/dvoy_services/datafed.aspx?page = BLM_AcresBurned

40. Aggregation Tools Fire Pixels June 16-23, 2004 Spatially Aggregated Monthly Sum Spatially Aggregated

41. Spatial-temporal Comparison of fire pixels http://www.datafed.net/WebApps/MiscApps/ModisGoes/FireLocationComparison.htm A red shaded square indicates a short distance separating the MODIS and GOES pixels while a blue shaded square indicates the nearest neighbor between the datasets were far apart . A red outlined square indicates the nearest neighbor was detected on the same day while a blue outlined square indicates a longer time separation . Gray shaded and/or outlined squares indicate that a nearest neighbor was not found between the two datasets given the search parameters (in this example case, 100 km and 2 days).

42. Standards Based Data Sharing Open Geospatial Specifications (OGC) for web mapping Web Map Service (images) Web Feature Service (point/vector data) Web Coverage Service (gridded data) Geospatial One-Stop – The National Map DataFed-OGC Description: http:// www.datafed.net/DataLinks/OGC/OGC.htm http://webapps.datafed.net/dvoy_services/ogc_domain_fire.wsfl?SERVICE=WMS&VERSION=1.1.1&REQUEST=GetCapabilities DataFed OGC WMS for fire data:

46. Kansas