Assessing boreal forest fire smoke aerosol impacts on U.S. air quality

A case study using multiple data sets

David J. Miller, Kang Sun, Mark A. Zondlo, David Kanter, Oleg Dubovik, Ellsworth Judd Welton, David M. Winker, Paul Ginoux

    Research output: Contribution to journalArticle

    Abstract

    We synthesize multiple ground-based and satellite measurements to track the physical and chemical evolution of biomass burning smoke plumes transported from western Canada to the northeastern U.S. This multiple data set case study is an advantageous methodology compared with using individual or small groups of data sets, each with their own limitations. The case study analyzed is a Canadian boreal forest fire event on July 4, 2006 with carbonaceous aerosol smoke emission magnitudes comparable to those during the summer fire seasons of the previous decade. We track long-range transport of these aerosol plumes with data from space-borne remote sensing satellite instruments (MODIS, OMI, MISR, CALIOP lidar, AIRS) and ground-based in situ and remote aerosol observations (AERONET CIMEL sky/Sun photometer, MPLNET lidar, IMPROVE, EPA AirNow). Convective lofting elevated smoke emissions above the boundary layer into the free troposphere, where high speed winds aloft led to rapid, long-range transport. Aerosol layer subsidence occurred during transport due to a region of surface high pressure. Smoke aerosols reaching the boundary layer led to surface fine particulate matter (PM2.5) enhancements accompanied by changes in aerosol composition as the plume mixed with anthropogenic aerosols over the northeastern U.S. The extensive coverage of this smoke plume over the northeastern U.S. affected regional air quality, with increases of 10-20 μg m-3 PM2.5 attributable to biomass burning smoke aerosols and EPA 24-hour PM2.5 standard exceedances along the U.S. East Coast. Although each data set individually provides a limited view of the transport of smoke emissions, we demonstrate that a multi-data set approach results in a more comprehensive view of potential impacts due to long-range transport of smoke from a less extreme fire event. Our case study demonstrates that fires emit smoke aerosols that under certain meteorological conditions can degrade regional air quality 3000 km from the source region, with additional implications for aerosol radiative forcing and regional haze over the northeastern U.S.

    Original languageEnglish (US)
    Article numberD22209
    JournalJournal of Geophysical Research Atmospheres
    Volume116
    Issue number22
    DOIs
    StatePublished - 2011

    Fingerprint

    forest fires
    air quality
    smoke
    forest fire
    boreal forest
    aerosols
    aerosol
    long range transport
    plumes
    plume
    biomass burning
    lidar
    optical radar
    winds aloft
    boundary layer
    boundary layers
    lofting
    MISR (radiometry)
    MISR
    Airborne Integrated Reconnaissance System

    ASJC Scopus subject areas

    • Atmospheric Science
    • Geophysics
    • Earth and Planetary Sciences (miscellaneous)
    • Space and Planetary Science

    Cite this

    Assessing boreal forest fire smoke aerosol impacts on U.S. air quality : A case study using multiple data sets. / Miller, David J.; Sun, Kang; Zondlo, Mark A.; Kanter, David; Dubovik, Oleg; Welton, Ellsworth Judd; Winker, David M.; Ginoux, Paul.

    In: Journal of Geophysical Research Atmospheres, Vol. 116, No. 22, D22209, 2011.

    Research output: Contribution to journalArticle

    Miller, DJ, Sun, K, Zondlo, MA, Kanter, D, Dubovik, O, Welton, EJ, Winker, DM & Ginoux, P 2011, 'Assessing boreal forest fire smoke aerosol impacts on U.S. air quality: A case study using multiple data sets', Journal of Geophysical Research Atmospheres, vol. 116, no. 22, D22209. https://doi.org/10.1029/2011JD016170
    Miller, David J. ; Sun, Kang ; Zondlo, Mark A. ; Kanter, David ; Dubovik, Oleg ; Welton, Ellsworth Judd ; Winker, David M. ; Ginoux, Paul. / Assessing boreal forest fire smoke aerosol impacts on U.S. air quality : A case study using multiple data sets. In: Journal of Geophysical Research Atmospheres. 2011 ; Vol. 116, No. 22.
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