STAR logo CIMSS logo JCET logo NOAA logo EPA logo NASA logo
WFF ABBA logo AirNow logo MODIS logo

Plots of MODIS Terra RGB and aerosol optical depth (AOD)

Regional Summary Plots of Aerosol Optical Depth

Product description

3-day composite history*

VGEO Composite PM2.5/Aerosol Optical Depth 
	       Data Fusion Animation

Product description

National map of statistics between surface PM2.5 and AOD, surface PM2.5 and estimated PM2.5

National Correlation Map between PM2.5 and MODIS 
             Aerosol Optical Depth

Product description

Tutorials for interpreting the IDEA products

 

 

48-hour aerosol trajectory forecast, with model winds and precipitation

Forecast Trajectories for Aerosol Optical Depth 
     and 48 hour Air Parcel

Product description

PM2.5 Estimation from AOD

Product description

Time-series and scatter plots of AOD, estimated PM2.5 and surface PM2.5

Time-series between MODIS Aerosol Optical Depth and PM2.5 24hr concentrations

Product description

About IDEA...

IDEA (Infusing satellite Data into Environmental air quality Applications) is a NASA- EPA-NOAA partnership to improve air quality assessment, management, and prediction by infusing (NASA) satellite measurements into (EPA, NOAA) analyses for public benefit. In the Summer of 2003, researchers form NASA, EPA, NOAA and academics prototyped the fusion, analysis and visualization of NASA ESE and US EPA data as AIRNow PM2.5 Forecast Tools. After a successful demonstration, EPA and NASA transferred IDEA to the Cooperative Institute for Meteorology and Satellite Studies (CIMSS), a joint University of Wisconsin (UofW)-NASA-NOAA, through the support of EPA and NASA continued to the operation of IDEA until 2007. In 2007 IDEA was transferred to the University of Maryland Baltimore County and eventually to NOAA NESDIS. Since 2008, IDEA has been running at NOAA Center of Satellite Applications and Research (STAR) and has been hosted by its web server.

Contact info:

Website contact: Hai Zhang (phone: 301-683-2572)

Technical contacts: Hai Zhang (IMSG) and Shobha Kondragunta (NOAA)

Links

Official VIIRS data download site: NOAA Comprehensive Large Array-data Stewardship System (CLASS)

References

Zhang,H., Kondragunta, S., and Liu,H., 2013: A Tutorial on MODIS and VIIRS Aerosol Products from Direct Broadcast Data on IDEA, VIIRS Aerosol Science and Operational Users Workshop, College Park, MD, Nov 21-22,2013.

Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Aerosol Products Users Guide, v2.0, April,2013.

Zhang, H., Hoff, R.M., Kondragunta, S. 2009: Development of IDEA product for GOES-R aerosol data, Proc SPIE, 7456, 74560O, doi:10.1117/12.828095, Aug 2-6, 2009, San Diego, CA.

Zhang, H., Hoff, R.M., Engel-Cox, J.A. 2009: The relation between Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth and PM2.5 over the United States: a geographical comparison by EPA regions, J.Air & Waste Manage. Assoc., 59, 1358-1369.

Hoff,R., Zhang,H., Jordan,N., Prados,A., Engel-Cox,J., Huff,A., Weber,S., Zell,E., Kondragunta,S., Szykman,J., Johns,B., Dimmick,F., Wimmers,A., Al-Saadi,J., Kittaka,C., 2009: Application of the Three-Dimensional Air Quality System (3D-AQS) to Western U.S. Air Quality: IDEA, Smog Blog, Smog Stories, AirQuest, and the Remote Sensing Information Gateway, J.Air & Waste Manage. Assoc., 59, 980-989.

Al-Saadi, J., J. Szykman, R. B. Pierce, C. Kittaka, D. Neil, D. A. Chu, L. Remer, L. Gumley, E. Prins, L.Weinstock, C. MacDonald, R. Wayland, F. Dimmick and J. Fishman, 2005. Improving National Air Quality Forecasts with Satellite Aerosol Observations. Bull. Am. Met. Soc. 86, 1249-1261.

Doreen Neil, James J. Szykman, Jack Fishman, R. Bradley Pierce, Jassim A. Al-Saadi, Chieko Kittaka, A good IDEA (Infusing satellite Data into Environmental Applications), American Meteorological Society, 13the Conference on Satellite Meteorology, Society, Norfolk, VA Sept. 21, 2004.

James J. Szykman, Chieko Kittaka, R. Bradley Pierce, Jassim Al-Saadi, Doreen O. Neil, John White, D. Allen Chu, and Lorraine A. Remer, Use of MODIS Satellite Observations in Near-Real-Time to Improve Forecast of Fina Particulate Matter (PM2.5): An Experimental Forecast Tool. 2004 National Air Quality, Baltimore, MD, February 22-25, 2004

Fishman, Jack, James J. Szykman, Chieko Kittaka, R. Bradley Pierce, Jassim Al-Saadi, Doreen O. Neil, John White, D. Allen Chu, and Lorraine A. Remer, MODIS Satellite Observations in "Near Real Time" to Improve Forecasts of Fine Particulate Matter (PM2.5) in the United States. European Space Agency Atmospheric Chemistry Applications Workshop, Noordwijk, Netherlands (ESTEC), 21-22 January 2004.

Szykman, J.; White, J.; Pierce, B.; Al-Saadi, J.; Neil, D.; Kittaka, C.; Chu, A.; Remer, L.; Gumley, L., and Prins, E.. Utilizing MODIS satellite observations in near-real-time to improve AIRNow next day forecast of fine particulate matter, PM2.5. Conference on Atmospheric Chemistry, 6th: Air Quality in Megacities, Seattle, WA, 11-15 January 2004 (preprints). Boston, MA, American Meteorological Society, 2004, Paper 1.2. Reprint #3630.

Kittaka, C.; Szykman, J.; Pierce, B.; Al-Saadi, J.; Neil, D.; Chu, A.; Remer, L.; Prins, E., and Holdzkom, J.. Utilizing MODIS satellite observations to monitor and analyze fine particulate matter, PM2.5, transport event. Conference on Atmospheric Chemistry, 6th: Air Quality in Megacities, Seattle, WA, 11-15 January 2004 (preprints). Boston, MA, American Meteorological Society, 2004, Paper 1.3. Reprint #3631.

Acknowledgements

We would like to thank MODIS Science Team and LARC DAAC. The project is funded by NOAA NESDIS GOES-R program. We are grateful to STAR's support of IDEA with computing resources and website hosting. We would like to thank Liam Gumley at CIMSS and Scott Macfarlane at University of Alaska for providing near real-time VIIRS data.