1 The FASTNET Project Presented by: Sean Raffuse 1 Rudy Husar 2 Rich Poirot and Gary Kleiman 3 1 Sonoma Technology, Inc. 2 Center for Air Pollution Impact and Trend Analysis (CAPITA) 3 NESCAUM Presented at: U.S. EPA 2005 National Air Quality Conference San Francisco, CA February 13-16, 2005 STI-2646

2 FASTNET Fast Aerosol Sensing Tools for Natural Event TrackingFast Aerosol Sensing Tools for Natural Event Tracking Brings together realtime and historical data sets useful for aerosol analysis into several web based consolesBrings together realtime and historical data sets useful for aerosol analysis into several web based consoles Developed by the Center for Air Pollution Impact and Trend Analysis (CAPITA) and STIDeveloped by the Center for Air Pollution Impact and Trend Analysis (CAPITA) and STI A Regional Planning Organization (RPO) projectA Regional Planning Organization (RPO) project Managed for MANE-VU by Northeast States for Coordinated Air Use Management (NESCAUM)Managed for MANE-VU by Northeast States for Coordinated Air Use Management (NESCAUM) Currently functional and freely accessibleCurrently functional and freely accessible

3 On Aerosol Events and Data Aerosol episodes are often complex Aerosol episodes are often complex Different components, shapes, sizes, mixingDifferent components, shapes, sizes, mixing Natural and anthropogenic sourcesNatural and anthropogenic sources Transport and carryoverTransport and carryover Aerosol data sets come from a variety of sources and difficult to use Aerosol data sets come from a variety of sources and difficult to use Data sets are large, many different formats and cumbersomeData sets are large, many different formats and cumbersome Stored and maintained at various locations; dynamicStored and maintained at various locations; dynamic Represent different time/space scalesRepresent different time/space scales Aerosol data need to be integrated and presented in real time Aerosol data need to be integrated and presented in real time Individual data sets can only provide narrow views of aerosol eventsIndividual data sets can only provide narrow views of aerosol events Data integration provides a broader characterization of eventsData integration provides a broader characterization of events Synthesizing datasets helps better understanding aerosol eventsSynthesizing datasets helps better understanding aerosol events

4 Within DATAFED.NET, FASTNET is one of many “Projects” which Share Many Common “Datasets” which are Archived & Accessible & can be Viewed, Compared, Exported, Analyzed & Interpreted, using a variety of Web-Based “Applications” FASTNET uses the DataFed.net infrastructure Supported by NSF, NASA, EPA and other Agencies

5 DataFed Synthesizes Data for Analyses Image Files Ambient Monitors Emission Inventories Fire Locations Meteorology GIS Maps Satellite Imagery Databases Data Data Retrieval Service Outputs Websites Maps Graphs XML CSV Analyst Consoles Custom Consoles Manager Console Connects to various data types And creates standard data views Which can be incorporated into websites

6 Real-time

7 Data Catalog(s) Provide Access to Many: Fast (rapidly available), Current (near-real-time, recently archived & continuing) and Slow (historical data Like IMPROVE Aerosol & ATAD trajectories)

8 Event Analysis – February 19, 2004 Areas of elevated PM 2.5 in the Great Lakes (MN, MI), Northeast, and West Texas What are the features?

9 This is one of several Analyst Consoles Visibility Meteorological parameters Satellite indices Fires Aerosol models Imagery

10 Analyst Console Applications: Sulfate Episode: 8/27/04 Sulfate in the Northeast Sahara Dust in the Gulf Fires in the Southeast Time Series Console: Southeast

11 Feb : Texas Dust & Midwest Nitrate Isolated high PM25 occurs over the Midwest, Northeast and Texas Aerosol patches are evident in AIRNOW PM25, ASOS & Fbext maps The high surface wind speed over Texas, hints on possible dust storm activity The NAAPS model shows high sulfate over the Great Lakes, but no biomass smoke Possible causes: nitrate in the Upper Midwest, sulfate around the Great Lakes, dust over Texas

12 Event Tracker provides pre-selected views and links to other information Analyst summaries

13 High winds in northeast Texas and Oklahoma Navy Aerosol Analysis and Prediction System (NAAPS) Model shows dust in this area

14 Air Quality Manager’s Console Browse a subset of the FASTNET data in time and space with a simple GIS interface Hourly PM 2.5 Visibility Fire Locations GIS Data Layers

15 Satellite images News stories

16 FASTNET Status This is what I need to talk about FASTNET is still under development, but available at is still under development, but available at Air Quality Manager’s Console at fastnet.sonomatechdata.comAir Quality Manager’s Console at fastnet.sonomatechdata.com If you are interested in participating, contact Rich Poirot you are interested in participating, contact Rich Poirot For technical information on DataFed and FASTNET contact Rudy Husar technical information on DataFed and FASTNET contact Rudy Husar For information on the Air Quality Manager’s Console contact Sean Raffuse )For information on the Air Quality Manager’s Console contact Sean Raffuse )

17 FASTNET References and Links FASTNET Project Description: FASTNET Community Website: FASTNET Consoles: DataFed Data Catalogs: DataFed Data Viewer: Other FASTNET Reports and Presentations PM Event Detection from Time Series Automated Detection of Regional Haze Events Mystery Winter Haze over the Midwest February 19, 2004 Texas-Mexico Dust Event February PM Event over the Northeast and Quebec June Tucson Dust July Aerosol Pulse April 28, 2004 Nevada Dust

18 A Peek Under the Hood FASTNET uses the DataFed.net infrastructure

19 Relevance Aerosol episodes are often complexAerosol episodes are often complex Different components, shapes, sizes, mixingDifferent components, shapes, sizes, mixing Natural and anthropogenic sourcesNatural and anthropogenic sources Transport and carryoverTransport and carryover Individual data sets can provide clues about the cause and nature of aerosol eventsIndividual data sets can provide clues about the cause and nature of aerosol events Synthesizing the data helps us better understand aerosol eventsSynthesizing the data helps us better understand aerosol events

20 Satellite detects fires in the Southeast But PM 2.5 values are small

21 The NAAPS model suggests the high PM 2.5 in the Northeast is due to sulfate

22 Users can customize views by layering the many available data sets These custom views can be incorporated into their own websites