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Satellite Remote Sensing of the Air Quality Health Index

Satellite Remote Sensing of the Air Quality Health Index. Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Lok Lamsal, Dalhousie University Xiong Liu, NASA Goddard. Satellite Observations Complement Ground-Based Measurements.

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Satellite Remote Sensing of the Air Quality Health Index

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  1. Satellite Remote Sensing of the Air Quality Health Index Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Lok Lamsal, Dalhousie University Xiong Liu, NASA Goddard

  2. Satellite Observations Complement Ground-Based Measurements Large Regions Have Insufficient In Situ Measurements for Air Quality Assessment ~1 site / 10,000 km2 in continental US & southern Canada In situ NO2 measurements contaminated with NOz

  3. Major Nadir-viewing Space-based Measurements of AQHI Species Solar Backscatter&Thermal Infrared

  4. Retrievals of Aerosol and NO2 Most Sensitive to Boundary Layer Strong Rayleigh Scattering Weak Thermal Contrast with Surface O3 Aerosol O3 NO2 9.6 2.2 4.7 0.52 0.62 0.75 0.30 0.36 0.43 Wavelength (μm)

  5. Relative Vertical Profile Affects Boundary-Layer Information in Satellite ObservationsNormalized Simulated (GEOS-Chem) Summer Mean Profiles over North America O3 Aerosol Extinction S(z) = shape factor C(z) = concentration Ω = column NO2 Martin, AE, 2008

  6. OMI Tropospheric NO2 Column Proxy for Surface Concentration NO/NO2  with altitude October 2004 – September 2007 Inclusive

  7. Promising Relationship Between Modeled and In-Situ NO2 Profiles In Situ GEOS-Chem Texas AQS Martin et al., JGR, 2004 Eastern North America New England In Situ GEOS-Chem ICARTT Martin et al., JGR, 2006

  8. In Situ GEOS-Chem General Approach to Estimate Surface Concentration Coincident GEOS-Chem Profile Daily Observed Column MODIS/MISR AODOMI NO2 (DOMINO) OMI O3 (Xiong Liu) • S→ Surface Concentration • Ω → Tropospheric column

  9. Significant Spatial Correlation from NO2 and PM2.5 (OMI-derived NO2, MODIS/MISR-derived PM2.5) Mean over Jun – Aug 2005 y=1.4x-0.57 r=0.87 Satellite-derived Partial AQHI In Situ Partial AQHI Partial AQHI (NO2 and PM2.5)

  10. Evaluation of Surface O3 Estimate with AQ Network GEOS-Chem simulates strong correlation (r=0.9) between tropospheric O3 Column and surface O3 concentration during summer OMI-Derived Surface O3 for North America (Jun – Aug 2005) r=0.77 y=0.89 + 20.0 O3 Mixing Ratio (ppbv)

  11. Significant Spatial Correlation in Satellite-derived and In Situ AQHI (OMI-derived NO2 and O3, MODIS/MISR-derived PM2.5) Mean values over June – August 2005 for North America Satellite-derived AQHI r=0.85 y=1.1x+0.47 In Situ AQHI 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 AQHI

  12. Temporal Variation in the AQHI Satellite In Situ

  13. Significant Correlation of Satellite-derived and In Situ AQHI Jun – Aug 2005 Correlation Coefficient

  14. Challenges Encouraging Prospects for Satellite Remote Sensing of Air Quality Remote Sensing Community: Boundary-layer ozone Higher spatial resolution obs (urban scales, cloud-free, validation) Modeling Community: Develop representation of vertical profile Comprehensive assimilation capability • Measurement Community: • Develop robust validation networks • vertical profile • span satellite footprint • full year • research quality (e.g. NO2)

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