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The FASTNET ProjectThe FASTNET Project

Presented by:Presented by:

Sean RaffuseSean Raffuse11

Rudy HusarRudy Husar22

Rich Poirot and Gary KleimanRich Poirot and Gary Kleiman33

11Sonoma Technology, Inc.Sonoma Technology, Inc.22Center for Air Pollution Impact and Center for Air Pollution Impact and

Trend Analysis (CAPITA)Trend Analysis (CAPITA)33NESCAUMNESCAUM

Presented at:Presented at:U.S. EPA 2005 National Air Quality ConferenceU.S. EPA 2005 National Air Quality Conference

San Francisco, CASan Francisco, CAFebruary 13-16, 2005February 13-16, 2005

STI-2646

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FASTNETFASTNET• FFast ast AAerosol erosol SSensing ensing TTools for ools for NNatural atural EEvent vent TTrackingracking• Brings together real-time and historical data sets useful for Brings together real-time and historical data sets useful for

aerosol analysis into several web based consolesaerosol analysis into several web based consoles• Developed by the Center for Air Pollution Impact and Developed by the Center for Air Pollution Impact and

Trend Analysis (CAPITA) and Sonoma Technology, Inc. Trend Analysis (CAPITA) and Sonoma Technology, Inc. (STI)(STI)

• A Regional Planning Organization (RPO) projectA Regional Planning Organization (RPO) project• Managed for MANE-VU by Northeast States for Managed for MANE-VU by Northeast States for

Coordinated Air Use Management (NESCAUM)Coordinated Air Use Management (NESCAUM)• Currently functional and freely accessibleCurrently functional and freely accessible

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On Aerosol Events and DataOn Aerosol Events and Data

• Aerosol episodes are often complex– Different components, shapes, sizes, mixing– Natural and anthropogenic sources– Transport and carryover

• Aerosol data sets come from a variety of sources and are difficult to use – Data sets are large, many different formats and cumbersome– Stored and maintained at various locations– Dynamic– Represent different time/space scales

• Aerosol data need to be integrated and presented in real time– Individual data sets can only provide narrow views of aerosol events– Data integration provides a broader characterization of events– Synthesizing datasets helps better understanding aerosol events

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FASTNET is one of many projects within DataFed.net which share common data sets which are archived and accessible and can be viewed, compared, exported, analyzed, and interpreted using a variety of web-based applications

FASTNET uses the DataFed.net FASTNET uses the DataFed.net infrastructureinfrastructure

Supported by NSF, NASA, EPA and other AgenciesSupported by NSF, NASA, EPA and other Agencies

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DataFed Synthesizes Data for AnalysesDataFed Synthesizes Data for Analyses

ImageFiles

Ambient MonitorsEmission InventoriesFire LocationsMeteorologyGIS MapsSatellite 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

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The AIRNow PMThe AIRNow PM2.52.5 data set is the benchmark data set is the benchmark parameter used in FASTNETparameter used in FASTNET

The products of FASTNET have the potential to be The products of FASTNET have the potential to be returned to AIRNow to provide contextreturned to AIRNow to provide context

AIRNow and FASTNETAIRNow and FASTNET

Hourly PM2.5

data

Tools and the analyst community

Event analysis,

packaging, and context

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Real-time

Real-time

Real-time

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Data catalog(s) provide access to many fast (rapidly available), current (near-real-time, recently archived and continuing), and slow (historical data like IMPROVE Aerosol and ATAD trajectories)

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Event Analysis – February 19, 2004Event Analysis – February 19, 2004

Areas of elevated PM2.5 in the Great Lakes (MN, MI), Northeast, and West Texas

What are the features?

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This is one of several Analyst

ConsolesVisibility

Meteorological parameters

Satellite indices

Fires Aerosol models

Imagery

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• Isolated high PMIsolated high PM2.52.5 occurs over the Midwest, Northeast and Texas occurs over the Midwest, Northeast and Texas• Aerosol patches are evident in AIRNOW PMAerosol patches are evident in AIRNOW PM2.52.5, ASOS & FBext maps, ASOS & FBext maps• The high surface wind speed over Texas, hints on possible dust storm activityThe 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 smokeThe NAAPS model shows high sulfate over the Great Lakes, but no biomass smoke

February 19, 2004: Texas Dust & Midwest NitrateFebruary 19, 2004: Texas Dust & Midwest Nitrate

Possible causes: nitrate in the Upper Midwest, sulfate around the Great Lakes, dust over Texas

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High winds in northeast Texas and Oklahoma

Navy Aerosol Analysis and Prediction System (NAAPS) Model shows dust in this area

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Air Quality Manager’s ConsoleAir Quality Manager’s Console

Browse a subset of the FASTNET data in time and space with a simple GIS interface

Hourly PM2.5

VisibilityFire LocationsGIS Data Layers

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MODIS Rapid Response

FASTNET Event Report: 040219TexMexDust

Texas-Mexico Dust EventFebruary 19, 2004

Contributed by the FASNET Community

Correspondence to R Poirot, R Husar

MODIS Rapid Response

FASTNET Event Report: 040219TexMexDust

Texas-Mexico Dust EventFebruary 19, 2004

Contributed by the FASNET Community

Correspondence to R Poirot, R Husar

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

Analyst summaries

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Satellite images

News stories

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FASTNET StatusFASTNET Status

• FASTNET is still under development, but available at www.datafed.net

• Air Quality Manager’s Console at fastnet.sonomatechdata.com

• If you are interested in participating, contact Rich Poirot (rich.poirot@anr.state.vt.us)

• For technical information on DataFed and FASTNET contact Rudy Husar (rhusar@me.wustl.edu)

• For information on the Air Quality Manager’s Console contact Sean Raffuse (sraffuse@sonomatech.com)

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FASTNET References and LinksFASTNET References and Links

FASTNETFASTNET Project Description:Project Description: http://capita.wustl.edu/capita/capitareports/041026VisConfAshville/93Fastnet/93FASTNETb_j.doc

FASTNET Community Website:FASTNET Community Website: http://webapps.datafed.net/dvoy_services/dvoy_book.aspx?path=HOME/Projects/FASTNET

FASTNET Consoles:FASTNET Consoles: http://www.datafed.net/consoles/realtime_consoles.asp?datetime=now-48&image_width=260&image_height=110

DataFed Data Catalogs:DataFed Data Catalogs: http://webapps.datafed.net/dvoy_services/datafed_catalog.aspx

DataFed Data Viewer:DataFed Data Viewer: http://webapps.datafed.net/dvoy_services/datafed.aspx

Other FASTNET Reports and PresentationsOther FASTNET Reports and PresentationsPM 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 19 2004 PM Event over the Northeast and Quebec

June 4 2004 Tucson Dust

July 4 2004 Aerosol Pulse

April 28, 2004 Nevada Dust

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Sulfate in the Northeast

Sahara Dust in the Gulf

Fires in the Southeast

Time Series Console: Southeast

Analyst Console Analyst Console Applications:Applications:

Sulfate Episode: 8/27/04Sulfate Episode: 8/27/04

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A Peek Under the HoodA Peek Under the Hood

FASTNET uses the DataFed.net infrastructureFASTNET uses the DataFed.net infrastructure

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RelevanceRelevance

• Aerosol episodes are often complexAerosol episodes are often complex• Different components, shapes, sizes, Different components, shapes, sizes,

mixingmixing• Natural and anthropogenic sourcesNatural and anthropogenic sources• Transport and carryoverTransport and carryover

• Individual data sets can provide clues Individual data sets can provide clues about the cause and nature of aerosol about the cause and nature of aerosol eventsevents

• Synthesizing the data helps us better Synthesizing the data helps us better understand aerosol eventsunderstand aerosol events

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Satellite detects fires in the Southeast

But PM2.5 values are small

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The NAAPS model suggests the high PM2.5 in the Northeast is due to sulfate

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Users can customize views by layering the many available data sets

These custom views can be incorporated into their own websites