Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5754976 | Remote Sensing of Environment | 2017 | 12 Pages |
Abstract
Total and size-fractionated AOD from the MISR 4.4 km aerosol product were used to develop spatio-temporal models to estimate surface concentrations of PM2.5, PM10, and PM2.5 chemical species over Southern California. We found, and confirmed by leave-one-site-out cross validation, that PM2.5 was best estimated with a spatio-temporal model of AOD small + medium that also included adjustment for relative humidity and wind speed (R2 = 0.67, CV R2 = 0.51), while PM10 was best estimated from AOD large with adjustment for dew point and wind speed (R2 = 0.76, CV R2 = 0.44). Total AOD was most strongly associated with PM2.5 components SO42 â (R2 = 0.74, CV R2 = 0.69) and NO3â (R2 = 0.72, CV R2 = 0.39). The best fitting models were applied to all available MISR aerosol retrievals over the region, generating surfaces of estimated size-resolved PM concentrations that will be a great asset to the environmental science and public health communities.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Meredith Franklin, Olga V. Kalashnikova, Michael J. Garay,