Aerosol optical properties calculated from size distribution measurements: An uncertainty study

Details

• Journal Title:
  Aerosol Science and Technology
• Personal Author:
  Telg, Hagen ; Collins, Don R. ; McComiskey, Allison
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; GML (Global Monitoring Laboratory)
• Description:
  We use Monte Carlo uncertainty propagation to estimate the uncertainty of aerosol scatter-ing coefficients, r s, that have been derived from measured particle size distributions. We con- sider the particular case where the size distributions are measured using a combination of a scanning mobility particle sizer (SMPS) and an aerodynamic particle sizer (APS). Uncertainties that are propagated include those intrinsic to the instruments and those that arise from vari- abilities in aerosol microphysical properties, including particle shape, density, and complexrefractive index. Particular emphasis is put on the size dependent counting efficiency of both
• Keywords:
  Environmental Chemistry General Materials Science Pollution
• Source:
  Aerosol Science and Technology, 57(7), 597-607
• DOI:
  https://doi.org/10.1080/02786826.2023.2202703
• ISSN:
  0278-6826 ; 1521-7388
• Format:
  PDF
• Publisher:
  Informa UK Limited
• Document Type:
  Journal Article
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Library
• Main Document Checksum:
  urn:sha256:eb077dc6f8759db9eb16cc6b6b539e783bdf050b91f6b944b08b029e49c1d61d
• Download URL:
  https://repository.library.noaa.gov/view/noaa/54840/noaa_54840_DS1.pdf
• File Type:
  [PDF - 2.52 MB ]