A Closure Study of Total Scattering Using Airborne In Situ Measurements from the Winter Phase of TCAP

作者：Kassianov Evgueni^*; Berg Larry K; Pekour Mikhail; Barnard James; Chand Duli; Comstock Jennifer; Flynn Connor; Sedlacek Arthur; Shilling John; Telg Hagen; Tomlinson Jason; Zelenyuk Alla; Fast Jerome

来源：Atmosphere, 2018, 9(6): 228.

DOI：10.3390/atmos9060228

• aircraft measurements of aerosol microphysical
• chemical, and optical components and ambient relative humidity
• ultra-high sensitivity aerosol spectrometer (UHSAS)
• passive cavity aerosol spectrometer (PCASP)
• cloud and aerosol spectrometer (CAS)
• aerosol mass spectrometer (AMS)
• single particle soot photometer (SP2)
• single particle mass spectrometer (miniSPLAT)
• integrating nephelometer
• humidification system
• winter phase of Two-Column Aerosol Project (TCAP)

We examine the performance of our approach for calculating the total scattering coefficient of both non-absorbing and absorbing aerosol at ambient conditions from aircraft data. Our extended examination involves airborne in situ data collected by the U.S. Department of Energy's (DOE) Gulf Stream 1 aircraft during winter over Cape Cod and the western North Atlantic Ocean as part of the Two-Column Aerosol Project (TCAP). The particle population represented by the winter dataset, in contrast with its summer counterpart, contains more hygroscopic particles and particles with an enhanced ability to absorb sunlight due to the larger fraction of black carbon. Moreover, the winter observations are characterized by more frequent clouds and a larger fraction of super-micron particles. We calculate model total scattering coefficient at ambient conditions using size spectra measured by optical particle counters (OPCs) and ambient complex refractive index (RI) estimated from measured chemical composition and relative humidity (RH). We demonstrate that reasonable agreement (similar to 20% on average) between the observed and calculated scattering can be obtained under subsaturated ambient conditions (RH < 80%) by applying both screening for clouds and chemical composition data for the RI-based correction of the OPC-derived size spectra.

• 出版日期2018-6