Abstract
In this paper, we present a cluster analysis of plume transport paths to New York City (NYC, 40.821oN, 73.949oW) for the 8-year period during 2006-2013. We also show cases of such aloft aerosol plumes intrusion and mixing into the boundary layer (PBL) and the impact on local air quality. Range-resolved monthly occurrence frequency and modification of local aerosol optical properties are presented. The NOAA-HYSPLIT cluster analysis indicates 6 main transport paths; and the optical properties (optical depth-AOD, Angstrom exponent-AE and single scatter albedo-SSA) of aerosol for each cluster are characterized. We further illustrate the impact of these aloft plumes on the satellite MODIS estimate of ground PM 2.5 levels and observe that when the aloft plumes-layer AODs are filtered out using lidar, the correlation of MODIS AOD-PM 2.5 can be much improved.
Highlights
Aloft aerosol plumes from both forest-fires and dust storms events are often transported over long distance, affecting both climate radiation and air quality on regional/continental scales [1, 2]
They often result in significant contribution to the column aerosol optical depths (AOD) which can bias the estimate of PM2.5 from the satellite column observation [3, 4]
Extensive aloft-aerosol-plume events and regional transport to the northeastern US are observed with the ground-based multi-wavelength lidar and sunphotometer in New York City
Summary
Aloft aerosol plumes from both forest-fires and dust storms events are often transported over long distance, affecting both climate radiation and air quality on regional/continental scales [1, 2]. They often result in significant contribution to the column aerosol optical depths (AOD) which can bias the estimate of PM2.5 from the satellite column observation [3, 4]. The optical properties and timeheight statistics of these transported plumes can be characterized by long-term ground lidar observations. The potential impacts on the local aerosol optical properties, air quality and the MODIS AOD-PM2.5 correlation are analyzed
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
