Surface PM2.5 Estimates from GOES and VIIRS AOD over the United States
Abstract
Satellite retrieved aerosol optical depth (AOD) has been used to estimate surface PM2.5 because AOD is found to be correlated with PM2.5. The advantage of the PM2.5 estimates from satellite AOD is its large spatial coverage that can fill the gaps between surface PM2.5 stations. However, the PM2.5 and AOD relation changes from time to time and from place to place. In this work, the PM2.5 and AOD relations are updated dynamically. At each AIRNOW sites, with given PM2.5 surface measurement and AOD matchup, the corresponding slope or intercept can be updated to a more realistic value. The updated slopes and intercepts at AIRNOW sites are then interpolated everywhere else, which are then applied on the AOD retrievals to obtain the surface PM2.5 estimates. The algorithm is applied to both GOES-16 AOD and VIIRS AOD to estimate either hourly or daily PM2.5. The results show improved accuracy than those from the simple climatological relations.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.A51G2238Z
- Keywords:
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- 0305 Aerosols and particles;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 0345 Pollution: urban and regional;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 3360 Remote sensing;
- ATMOSPHERIC PROCESSES