Air Quality Remote Sensing Program
GOES Smoke Products
/ NWS requested
to provide observational support to verify
smoke (PM2.5) forecasts. NESDIS
initiated the algorithm development work to derive smoke concentrations from
AOD measurements. This
algorithm uses source apportionment technique by fusing
observations of fire hot spots and AOD
maps at 30-minute interval.
Plume direction and extent from all observed fire sources are first
determined. AOD values in the map not associated with the fires are
dropped. For plumes transported long distance from fire sources, we use
pattern recognition technique. Since we are working with 30-minute AOD
imagery, this algorithm provides us with wind speed and direction
associated with the plumes. However, the vertical location of these plumes
is not known.
The figure below shows the sequential steps involved in the
algorithm. Top figure shows original GOES
AOD image with clouds and other
gray areas where retrieval was not possible. Middle figure shows AOD
associated with fires, and the bottom figure shows smoke concentrations
derived from AOD. This
smoke concentration file will be used by NWS
in its forecast verification process.
ch1+Aerosol Optical Thickness 20050908 2145Z
GOES-12 Detected Smoke Aerosol Optical Thickness (20050908 2145Z)
Smoke plumes from all fires. To get from the first image to the Aerosol
Optical Thickness image, all other data not associated with fires
has been automatically dropped.
GOES-12 Detected Smoke Concentration (2005 09 08 2145Z)
AOD is converted to smoke concentrations by using aerosol mass
extinction coefficient of 7.8m2/g.