An enhanced IDEA product with GOES AOD H' Zhang hazhangumbc'edu1 , R' M' Hoff1 , S'Kondragunta2 , I'

1
An enhanced IDEA product with GOES AOD H. Zhang
(hazhang_at_umbc.edu)1 , R. M. Hoff1 ,
S.Kondragunta2 , I. Laszlo2 , and A. Wimmers3 1.
University of Maryland Baltimore County 2.
STAR/NOAA NESDIS 3. University of Wisconsin
ABSTRACT The University of Maryland Baltimore
County, University of Wisconsin and NESDIS are
cooperating in migrating the Infusing satellite
Data into Environmental Applications (IDEA)
product from UW to NESDIS for a preoperational
test. IDEA was created through a NASA/EPA/NOAA
cooperative effort and involves the near-real
time dissemination of aerosol optical depth data
from MODIS to the public using the UW direct
broadcast capture of MODIS data. The product will
be run at NESDIS and will be a NOAA supported
product relevant to air quality decisionmakers.
In addition to the migration, the IDEA product
will be enhanced to include GOES-R aerosol
product since the ABI on GOES-R will have nearly
the same capabilities as MODIS to generate
multi-wavelength retrievals of AOD with high
temporal and spatial resolutions. The addition of
the GOES AOD product provides AOD updates on a
30-minute basis rather than the current
twice-daily updates provided by MODIS. To prepare
for utilizing these data in a near-real time
environment, UMBC has installed the GOES Aerosol
and Smoke Product (GASP) into IDEA. This includes
the development of additional trajectory and
ground-based air quality data links to the IDEA
product so that we have a plug-and-play
application suite for the new GOES-R data stream
once GOES-R in orbit. The GASP IDEA beta test
site is located at http//idea.umbc.edu/index_new.
php and comments are welcome.
Figure 3. National summary plot of GASP AOD and
in-situ surface PM2.5 measurement 60-day
correlation. Colored circles represent the
locations of the AIRNOW sites and the size of the
circles represents the number of coincidences.
The correlations are calculated through the
coincidences of the GASP AOD pixels close to the
in-situ site and the hourly PM2.5 measurements.
High correlation are found in the eastern part of
the United States.
Figure. 1. An illustration of enhanced IDEA site
shows the national map of the GASP AOD (left) and
48-hr trajectory forecast (right) from GASP AOD.
Red and white lines indicate trajectories
starting from regions of gt 0.4 OD. When
trajectories are red, pollution is closer to
ground and white pollution is aloft. Vectors
show the wind field at the 850mb level, and
yellow shade indicates the precipitation which
can remove the aerosols.
IDEA IDEA product was created in 2003 through a
partnership between NASA, EPA and NOAA, and has
been running on a daily basis at the University
of Wisconsin since May 2004 (http//idea.ssec.wisc
.edu). The purpose of this product is to provide
knowledge of the distribution and transport of
particulate matter over North America to air
quality forecasters. This is done via a web
interface combining the aerosol optical depth
from MODIS aboard Terra satellite, hourly surface
PM 2.5 (particulate matter with diameter smaller
than 2.5 ?m) measurements, and wildfire
locations. The system also requires direct
broadcast receiving of satellite data, regional
meteorological forecast data, a trajectory model,
and software for AOD retrieval.
Figure 4. Sixty-day time-series of MODIS/GASP AOD
and surface PM2.5 measurements for individual
site. MODIS and GASP AOD are represented as blue
and red dots. Hourly and 24-hour average PM2.5
are drawn as solid and dashed lines,
respectively.
GOES Aerosol and Smoke Product (GASP) GASP
(Knapp et al., 2002 Prados et al., 2007)
retrieves AOD over the United States from the
single visible channel of the GOES-12 imager.
Runs near-real time with 30-minute interval and
4x4 km2 spatial resolution at NOAA/NESDIS. Due
to its high temporal resolution, it is able to
capture diurnal variations of AOD and to monitor
aerosol motion. Key components of enhanced
IDEA The enhanced IDEA includes the GASP AOD as a
data source in addition to the MODIS AOD for the
five parts of the IDEA 1. National and
regional views of MODIS/GASP aerosol optical
depth and cloud optical thickness (Figure 1
left). 2. Aerosol trajectory forecast
initiated from MODIS/GASP AOD(Figure 1 right).
3. 3-day composite data fusion animation (Figure
2). 4. Time series of MODIS/GASP AOD and PM
2.5 for every hourly PM 2.5 site (Figure 4). 5.
National correlation summary between MODIS/GASP
AOD and surface measurements of PM 2.5 (Figure
3).
GOES-R ABI Aerosol product This aerosol product
will be derived from multi-channel sensors using
MODIS or VIIRS like algorithm, and it has higher
temporal and spatial resolution than GASP. We
are working on the incorporation of the GOES-R
ABI proxy AOD data into IDEA and simulate the
5-minute GOES updates.
Figure 2. A frame from the animated 3-day
composite of GASP AOD (in color contours), GASP
channel 1 radiance (for cloud mask, in gray
contours), hourly in-situ PM2.5 concentrations
(colored circles), NAM 850 mb wind field vector,
and WF-ABBA fire locations (pink and purple
diamonds). It shows the aerosol movements in the
past three days as well as the change of the
winds, surface air quality and fire locations.
Acknowledgement This project is supported by NOAA
contract DG133E07CN0285.
References Knapp, K.R., T.H. Vonder Haar, and
Y.J.Kaufman (2002), Aerosol optical depth
retrieval from GOES-8 Uncertainty study and
retrieval validation over South America,
J.Geophys. Res., 107(D7), 4055,
doi10.1029/2001JD00505. Prados, A.I., S.
Kondragunta, P. Ciren, and K.R.Knapp (2007), GOES
Aerosol/Smoke Product (GASP) over North America
Comparisons to AERONET and MODIS observations, J.
Geophys. Res., 112, D15201, doi10.1029/2006JD0079
68.