GOES-R AEROSOL PRODUCTS AND APPLICATIONS

1. GOES-R AEROSOL PRODUCTS AND APPLICATIONS Ana I. Prados, S. Kondragunta, P. Ciren R. Hoff, K. McCann

2. Why study aerosols ? Aerosols & Human health - PM2.5 & PM10 are EPA criteria pollutants with respiratory and cardiac implications Aerosols & the Environment: - visibility and aesthetics - earth’s climate and radiative balance - ecological balance of lakes, streams, soils and forests (acid rain) Aerosols can be used as tracers of transport pathways

3. Current GOES Imager Aerosol Products • Aerosol Optical Depth Retrievals -GOES-12 (East) operational http://www.ssd.noaa.gov/PS/FIRE/GASP/gasp.html -GOES-11 (West) pre-operational • Aerosol smoke concentrations -From GASP AOD and fire locations

4. Aerosol Optical Depth Aerosol Particle size Dust/Aerosol loading Suspended matter Volcanic Ash: Detection and Height. GOES-R ABI Aerosol ProductsIstvan Laszlo at (NOAA/NESDIS)

5. Current GOES AOD Retrieval Algorithm Background composite image Retrieved surface reflectivity LUT (6S Radiative Transfer Model) GOES-12 Visible Image LUT Retrieved GOES AOD (4x4 km), ½ hour Cloud screen: CLAVR method (GOES-12 IR channels 2 and 4)

6. GASP/AERONET Comparisons High correlation in the northeast/midatlantic region, low correlation in central/southwest US , moderate correlation elsewhere

7. GASP/AERONET/MODIS Comparisons

8. Current AOD Algorithm Issues • Errors in surface reflectance retrieval, particularly at high solar zenith angle • Larger rms differences than MODIS over eastern US due to 1 channel retrieval • and lack of SW IR channels • Incorrectly identify thick dust/aerosol plumes as cloud due to 1 channel retrieval

9. GOES-11/12 GOES-R ABI

10. Pollution Monitoring Air Quality Modeling/Forecasting- Assimilation of GASP AODs into air quality models GASP/IDEA-Infusing Satellite data into Environmental Applications-Combines satellite and ground based observations AODs will be a component of 3D-AQS (3-Dimensional Air Quality System), also to be used for CDC health studies Support for NOAA & NASA field campaigns GOES-R AOD Air Quality Applications Shobha Kondragunta at NOAA/NESDIS

11. Regional (industrial) haze Smoke Dust

12. GASP and long range transport of aerosols - August 2005

13. GASP/IDEA – A two dimensional Air Quality System • MODIS AOD and surface PM2.5 maps and time series • 48-Hour aerosol trajectory forecasts

14. 3D-AQS (3-D Air Quality System) Raymond Hoff, UMBC Lidar adds third vertical dimension MODIS AOD GOES AOD- High temporal resolution AIRS CO

15. Summary • Demonstrated Utility of Current GOES Aerosol Optical Depth • Good agreement with AERONET & MODIS over the eastern • US provides confidence in product for those regions • Monitoring of aerosol plumes at high temporal resolution • compared to polar orbiting (i.e MODIS) instruments • Smoke concentrations (from AOD) help HYSPLYT forecasts • Health studies currently underway between CDC and EPA • GOES-R Aerosol Optical Depth Retrievals • Improved AOD retrievals due to multispectral VIS channel, • SW-IR channels, aerosol size/type information, and onboard • calibration • Improved spatial and temporal resolution over current imager • GOES-R and US Air Quality • GASP/ IDEA and 3D-AQS - Multiplatform systems for • monitoring US Air Quality • Improving Air quality (PM2.5) forecasting

16. GASP AOD work was funded by the GIMPAP (DD133E0SSE6814) and G-PSDI programs This work was funded in part by the Cooperative Remote Sensing Science and Technology Center (CREST) through a grant from NOAA (Contract Number NA17AE162) and from a NASA Cooperative Agreement (3D-AQS, NNS06AA02A) Tony Wimmers (U. Wisconsin) - For providing 2004 & 2005 MODIS data Acknowledgements