Abstract View
Improvements to the Virkkula Filter Correction Algorithm for Measuring Carbonaceous Aerosol Optical Properties
THEO PAIK, Patrick Sheridan, Rajan K. Chakrabarty, Washington University in St. Louis
Abstract Number: 445
Working Group: Aerosol Standards
Abstract
Filter-based instruments, such as the particle soot absorption photometer (PSAP), are used to measure and constrain aerosol optical properties and related parameters at multiple sites worldwide. These filter-based optical measurements are subject to significant artifacts that depend on a given filter measurement system and aerosol optics. Resulting errors due to these artifacts could propagate into radiative transfer models that rely on filter-based optical data sets. Several correction algorithms have been proposed to align filter-based aerosol absorption data sets with standard reference particle-phase absorption measurements through process-based correction. Notably, Virkkula (2010) developed a simple correction scheme based on measurements of kerosene soot and “white” ammonium sulfate aerosol using a three-wavelength PSAP. Currently, the Virkkula correction algorithm is widely implemented for inferring particle-phase optical properties from filter-based measurements. It is, however, unclear how this algorithm performs for atmospherically relevant carbonaceous aerosol with spectrally-varying absorbing properties and single scattering albedo (SSA). Additionally, the applicability of this algorithm for newer filter-based optical instruments, such as the tricolor absorption photometer (TAP), has not been thoroughly evaluated. Here, we generated carbonaceous aerosol emissions with a wide range of spectrally-varying optical properties from laboratory biomass combustion. These aerosols were simultaneously sampled using a TAP, a tricolor PSAP, and integrated photoacoustic-nephelometer spectrometers at wavelengths comparable to the two filter-based photometers. First, we tested the validity of the original Virkkula’s correction scheme. Next, we provide improved correction factors for the Virkkula algorithm as a function of absorbing aerosol type and SSA that could be readily implemented for analyzing archived datasets and future measurements.
Reference:
A. Virkkula, Aerosol Sci. Technol. 44, 706 (2010).