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Colorado State University
  • Home
  • Welcome & About
    • About CIRA
      • Jobs
      • Letter from Christian Kummerow:
      • Map & Directions
      • Organizational Structure
      • Reports
      • Room Schedules
      • Staff Directory
      • Strategic Plan
      • Vision & Mission Statement
    • Themes
      • Climate and Weather Processes
      • Competitive Projects
      • Data Assimilation
      • Data Distributions
      • Education and Outreach
      • Modeling Systems Research
      • NOAA Projects
      • Satellite Algorithm Development, Training and Education
      • Societal and Economic Impact Studies
    • Collaborative Groups
      • Colorado Climate Center
      • National Park Service
      • Regional and Mesoscale Meteorology Branch
  • Teams
    • Colorado Teams:
      • NOAA/Earth System Research Lab (ESRL) – Boulder, CO
      • Air Quality – Fort Collins, CO
      • Atmospheric Science (ATS) – Fort Collins, CO
      • Carbon – Fort Collins, CO
      • CIRA Software Engineering Group (CSEG) – Fort Collins, CO
      • Data Assimilation (DA) – Fort Collins, CO
      • Data Processing Centers (DPC) – Fort Collins, CO
      • Independent – Fort Collins, CO
      • MetSat – Fort Collins, CO
      • Regional and Mesoscale Meteorology Branch (RAMMB) – Fort Collins, CO
      • Training – Fort Collins, CO
      • Tropical Cyclone – Fort Collins, CO
    • Other Location Teams:
      • National Hurricane Center – Miami, FL
      • NESDIS Environmental Applications Team (NEAT) – College Park, MD
      • NWS/Meteorological Development Laboratory (MDL) – Silver Spring, MD
      • NWS/Aviation Weather Center (AWC) – Kansas City, MO
      • Office of Marine and Aviation Operations (OMAO-Training) – Kansas City, MO
  • News & Events
    • News
      • CIRA Administration News
      • Magazines
      • Reports
    • Events
      • Conferences
      • Seminars
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    • Imagery
      • Air Quality Research
        • Improve
        • VIEWS
      • CIRA Algorithm Testbed
      • CIRA Weather Station
      • RAMMB SLIDER
    • Data
      • CloudSat Data Processing Center
      • ECMWF Nature Run
      • RAMSDIS Online
        • GOES-West / GOES-East
        • Synthetic Forecast Imagery
        • Tropical Imagery
        • Suomi NPP VIIRS Imagery
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2021-04-19 18:15 22.6 95.5 21.5 11.6 344 15.0 9 0.000 5.7 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

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Modeling Refractive Index of Biomass Burning Aerosols

October 6, 2017 11:15 am
ATS 101

Presented by: Solomon Bililign

Hosted by: Jeff Pierce

North Carolina A& T


The refractive index (RI) is one of the most fundamental parameters differentiating aerosol species. It is important to constrain the RI of aerosol components since there is still significant uncertainty regarding the RI of biomass burning aerosols. Experimentally measured extinction cross sections, scattering cross sections and single scattering albedos, for white pine soot under two different burning and sampling conditions were modeled using T-Matrix theory. The refractive indices were extracted from the calculations. Experimental measurements were conducted using a cavity ring-down spectrometer to measure extinction and a nephelometer to measure scattering of size selected aerosols. Soot was obtained by burning white pine using (1) an outdoor burn drum, where the aerosols were collected in distilled water using an impinger and then re-aerosolized after several days, and (2) a tube furnace to directly introduce the soot particles into an indoor smog chamber, where soot particles were then sampled directly. In both cases, filter samples were also collected and electron microscopy images were used to obtain morphology and size information used in T-Matrix calculations. In this talk a brief introduction of major goals and activities (past and present) in the NCA&T Atmospheric Chemistry/physics group will be presented followed by results of our most recent work on modeling of refractive index of biomass burning aerosols from white pine will be presented.

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Fort Collins, CO 80521

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