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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 20:50 21.0 94.5 19.7 2.2 323 3.6 344 0.000 0.1 0.00
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2021-04-19 20:40 21.0 94.5 19.7 3.8 322 4.8 324 0.000 0.1 0.00
2021-04-19 20:35 21.0 94.4 19.6 4.0 333 4.8 323 0.000 0.1 0.00
2021-04-19 20:30 21.0 94.6 19.7 4.5 307 6.4 316 0.000 0.1 0.00
2021-04-19 20:25 20.9 94.6 19.6 4.1 311 5.7 336 0.000 0.1 0.00
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2021-04-19 20:10 20.9 94.6 19.6 6.6 332 8.2 337 0.000 0.1 0.00
2021-04-19 20:05 21.0 94.7 19.7 6.9 332 8.8 332 0.000 0.1 0.00
2021-04-19 20:00 21.0 94.5 19.6 9.0 332 11.7 338 0.000 0.1 0.00
2021-04-19 19:55 21.1 94.8 19.9 9.0 337 11.3 339 0.000 0.1 0.00
2021-04-19 19:50 21.2 94.9 19.9 9.4 329 11.2 335 0.000 0.1 0.00
2021-04-19 19:45 21.2 94.9 20.0 8.8 338 11.2 328 0.000 0.1 0.00
2021-04-19 19:40 21.4 95.3 20.2 8.5 323 10.6 321 0.000 0.1 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

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Digital Holography of Aerosol Particles

April 21, 2017 11:15 am
ATS 101

Presented by: Matthew J. Berg

Hosted by: Sonia Kreidenweis

Kansas State University


Methods to determine the physical properties of aerosol particles is important in a vast array of scientific and applied contexts. Due in part to the difficulty of collecting such particles, a variety of contact-free techniques have been developed that infer information about the particles in an indirect manner. A popular example is elastic light-scattering where the angular pattern of light scattered from a particle is analyzed to estimate particle properties like shape and size. This approach is often called the inverse problem, as there is generally no way to know if the inferred information is correct. Fundamentally, this is due to the loss of optical phase information in such measurements. An alternative approach is to image the particles using holography. By placing a digital image-sensor in an optical beam containing a particle, the interference pattern produced by the scattered and unscattered light can be easily measured. The pattern constitutes a digital hologram of the particle and useful information can be extracted from it directly since phase information is encoded in the hologram. For example, applying a Fourier-transform operation yields a silhouette-like image of the particle, thus revealing its shape and size without any need for a priori information. The extinction cross section can also be obtained from the hologram. Thus, digital holography “solves” the classic inverse problem. This talk will present our recent work in this area and its future applications, including plans for field measurements of coarse-mode atmospheric aerosols.

Cooperative Institute for Research in the Atmosphere
Colorado State University
3925A West Laporte Ave.
Fort Collins, CO 80521

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Fax: 970.491.8241

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