High-resolution MODIS aerosol retrieval during wildfire events in California for use in exposure assessment

Retrieval of aerosol optical depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS) using the Collection 5 (C005) algorithm provides large-scale (10 × 10 km) estimates that can be used to predict surface layer concentrations of particulate matter with aerodynamic diameter smaller than 2.5 μm (PM2.5). However, these large-scale estimates are not suitable for identifying intraurban variability of surface PM 2.5 concentrations during wildfire events when individual plumes impact populated areas. We demonstrate a method for providing high-resolution (2.5 km) kernel-smoothed estimates of AOD over California during the 2008 northern California fires. The method uses high-resolution surface reflectance ratios of the 0.66 and 2.12 μm channels, a locally derived aerosol optical model characteristic of fresh wildfire plumes, and a relaxed cloud filter. Results show that the AOD derived for the 2008 northern California fires outperformed the standard product in matching observed aerosol optical thickness at three coastal Aerosol Robotic Network sites and routinely explained more than 50% of the variance in hourly surface PM2.5 concentrations observed during the wildfires. Key Points The 2.5 km estimates of AOD are derived for California wildfires AOD estimates predict more than 50% of observed surface PM2.5 variance High-resolution surface reflectance ratios are critically important ©2013. American Geophysical Union. All Rights Reserved.