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    Improving National Air Quality Forecasts with Satellite Aerosol Observations

    Source: Bulletin of the American Meteorological Society:;2005:;volume( 086 ):;issue: 009::page 1249
    Author:
    Al-Saadi, Jassim
    ,
    Szykman, James
    ,
    Pierce, R. Bradley
    ,
    Kittaka, Chieko
    ,
    Neil, Doreen
    ,
    Chu, D. Allen
    ,
    Remer, Lorraine
    ,
    Gumley, Liam
    ,
    Prins, Elaine
    ,
    Weinstock, Lewis
    ,
    MacDonald, Clinton
    ,
    Wayland, Richard
    ,
    Dimmick, Fred
    ,
    Fishman, Jack
    DOI: 10.1175/BAMS-86-9-1249
    Publisher: American Meteorological Society
    Abstract: Accurate air quality forecasts can allow for mitigation of the health risks associated with high levels of air pollution. During September 2003, a team of NASA, NOAA, and EPA researchers demonstrated a prototype tool for improving fine particulate matter (PM2.5) air quality forecasts using satellite aerosol observations. Daily forecast products were generated from a near-real-time fusion of multiple input data products, including aerosol optical depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS)/ Earth Observing System (EOS) instrument on the NASA Terra satellite, PM2.5 concentration from over 300 state/local/national surface monitoring stations, meteorological fields from the NOAA/NCEP Eta Model, and fire locations from the NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) Geostationary Operational Environmental Satellite (GOES) Wildfire Automated Biomass Burning Algorithm (WF_ABBA) product. The products were disseminated via a Web interface to a small group of forecasters representing state and local air management agencies and the EPA. The MODIS data improved forecaster knowledge of synoptic-scale air pollution events, particularly over oceans and in regions devoid of surface monitors. Forecast trajectories initialized in regions of high AOD offered guidance for identifying potential episodes of poor air quality. The capability of this approach was illustrated with a case study showing that aerosol resulting from wildfires in the northwestern United States and southwestern Canada is transported across the continent to influence air quality in the Great Lakes region a few days later. The timing of this demonstration was selected to help improve the accuracy of the EPA's AIRNow (www.epa.gov/airnow/) air quality index next-day PM2.5 forecast, which began on 1 October 2003. Based on the positive response from air quality managers and forecasters, this prototype was expanded and transitioned to an operational provider during the summer of 2004.
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      Improving National Air Quality Forecasts with Satellite Aerosol Observations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4214886
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    contributor authorAl-Saadi, Jassim
    contributor authorSzykman, James
    contributor authorPierce, R. Bradley
    contributor authorKittaka, Chieko
    contributor authorNeil, Doreen
    contributor authorChu, D. Allen
    contributor authorRemer, Lorraine
    contributor authorGumley, Liam
    contributor authorPrins, Elaine
    contributor authorWeinstock, Lewis
    contributor authorMacDonald, Clinton
    contributor authorWayland, Richard
    contributor authorDimmick, Fred
    contributor authorFishman, Jack
    date accessioned2017-06-09T16:42:54Z
    date available2017-06-09T16:42:54Z
    date copyright2005/09/01
    date issued2005
    identifier issn0003-0007
    identifier otherams-72839.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4214886
    description abstractAccurate air quality forecasts can allow for mitigation of the health risks associated with high levels of air pollution. During September 2003, a team of NASA, NOAA, and EPA researchers demonstrated a prototype tool for improving fine particulate matter (PM2.5) air quality forecasts using satellite aerosol observations. Daily forecast products were generated from a near-real-time fusion of multiple input data products, including aerosol optical depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS)/ Earth Observing System (EOS) instrument on the NASA Terra satellite, PM2.5 concentration from over 300 state/local/national surface monitoring stations, meteorological fields from the NOAA/NCEP Eta Model, and fire locations from the NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) Geostationary Operational Environmental Satellite (GOES) Wildfire Automated Biomass Burning Algorithm (WF_ABBA) product. The products were disseminated via a Web interface to a small group of forecasters representing state and local air management agencies and the EPA. The MODIS data improved forecaster knowledge of synoptic-scale air pollution events, particularly over oceans and in regions devoid of surface monitors. Forecast trajectories initialized in regions of high AOD offered guidance for identifying potential episodes of poor air quality. The capability of this approach was illustrated with a case study showing that aerosol resulting from wildfires in the northwestern United States and southwestern Canada is transported across the continent to influence air quality in the Great Lakes region a few days later. The timing of this demonstration was selected to help improve the accuracy of the EPA's AIRNow (www.epa.gov/airnow/) air quality index next-day PM2.5 forecast, which began on 1 October 2003. Based on the positive response from air quality managers and forecasters, this prototype was expanded and transitioned to an operational provider during the summer of 2004.
    publisherAmerican Meteorological Society
    titleImproving National Air Quality Forecasts with Satellite Aerosol Observations
    typeJournal Paper
    journal volume86
    journal issue9
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-86-9-1249
    journal fristpage1249
    journal lastpage1261
    treeBulletin of the American Meteorological Society:;2005:;volume( 086 ):;issue: 009
    contenttypeFulltext
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