Details

Autor(en) / Beteiligte

• Friberg, Mariel D
• Kahn, Ralph A
• Limbacher, James A
• Appel, K. Wyat
• Mulholland, James A

Titel

Constraining chemical transport PM.sub.2.5 modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley

Ist Teil von

• Atmospheric chemistry and physics, 2018-09, Vol.18 (17), p.12891

Ort / Verlag

Copernicus GmbH

Erscheinungsjahr

2018

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• 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 PM.sub.2.5, 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 constraints on aerosol size, shape, and light-absorption properties from the Multi-angle Imaging SpectroRadiometer (MISR) on the NASA Earth Observing System's Terra satellite. The CTM complements these data by providing complete spatial and temporal coverage. Unlike widely used approaches that train statistical regression models, the technique developed here leverages CTM physical constraints such as the conservation of aerosol mass and meteorological consistency, independent of observations. The CTM also aids in identifying relationships between observed species concentrations and emission sources.