Constraining chemical transport PM_2.5 modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley.

ABSTRACT: Advances in satellite retrieval of aerosol type can improve the accuracy of near-surface air quality characterization by providing broad regional context and decreasing metric uncertainties and errors. The frequent, spatially extensive and radiometrically consistent instantaneous constraints can be especially useful in areas away from ground monitors and progressively downwind of emission sources. We present a physical approach to constraining regional-scale estimates of PM₂.₅, its major chemical component species estimates, and related uncertainty estimates of chemical transport model (CTM; e.g., the Community Multi-scale Air Quality Model) outputs. This approach uses ground-based monitors where available, combined with aerosol optical depth and qualitative constrain

SUBMITTER: Friberg MD 

PROVIDER: S-EPMC6166888 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature