Aerosol reanalysis using a multiscale aerosol data assimilation system for the FASTER project
Authors
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Sha Feng — UCLA-JIFRESSE
Yangang Liu — Brookhaven National Laboratory
Wuyin Lin — Brookhaven National Laboratory
Tami Fairless — Pacific Northwest National Laboratory
Andrew M. Vogelmann — Brookhaven National Laboratory
Description
This research aims to support the aerosol-related tasks of the FAst-physics System TEstbed and Research (FASTER) project by developing an aerosol reanalysis product for the Routine AAF Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO) field campaign, using an advanced data assimilation scheme and both surface and aircraft aerosol measurements. The reanalysis product offers three-dimensional fields of both aerosol concentrations and size distributions. We have implemented a three-dimensional variational (3DVAR) data assimilation system with a WRF/Chem system for the Southern Great Plains (SGP) region. The MOSAIC scheme is used to represent aerosol processes. The MOSAIC scheme uses four size bins to represent size distributions and explicitly treats eight species, including elemental/black carbon, organic carbon, nitrate, sulfate, chloride, ammonium, sodium, and the sum of other inorganic, inert mineral and metal species. This 3DVAR scheme is formulated to provide analyses of both concentrations and size distributions of these eight species. We have produced a one-month aerosol reanalysis product during RACORO. The reanalysis product is produced by assimilating the surface PM2.5 from the Environmental Protection Agency (EPA) operational monitoring network and speciated measurements from the Interagency Monitoring of Protected Visual Environments (IMPROVE) monitoring network. The impact of aircraft measurements has been particularly explored. The framework and products offer a new avenue for using ARM aerosol-related measurements.
