• Title of article

    Maritime aerosol optical thickness measured by handheld sun photometers

  • Author/Authors

    Knobelspiesse، نويسنده , , Kirk D. and Pietras، نويسنده , , Christophe and Fargion، نويسنده , , Giulietta S. and Wang، نويسنده , , Menghua and Frouin، نويسنده , , Robert and Miller، نويسنده , , Mark A. and Subramaniam، نويسنده , , Ajit and Balch، نويسنده , , William M.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2004
  • Pages
    20
  • From page
    87
  • To page
    106
  • Abstract
    For several years, the NASA SIMBIOS Project has collected, processed, and archived optical aerosol data from shipboard sun photometers. The calibration, processing, quality control, and archival methodology for handheld sun photometers are described here, along with their deployment statistics. Data processing has been standardized for all instruments by using identical calibration methods, ancillary data, and processing software. Statistical analysis reveals a dataset influenced by its temporal and geographic distribution, while multimodal histograms for aerosol optical thickness (AOT) and إngstrِm exponent reveal varied aerosol populations. A K-means unsupervised classification technique is used to separate these populations. This separation is validated by showing individual classes are more likely to be log-normally (for AOTs) or normally (for إngstrِm exponents) distributed than the dataset as a whole. Properties for each class are presented, along with the characteristics of each class by regional oceanic basin. Results also compare favorably with maritime aerosols measured by land-based AERONET Cimels in island sites, while providing data coverage in previously sparsely sampled regions. Aerosol models employed by SeaWiFS (Sea-Viewing Wide Field-of-View Sensor) also compare favorably with these ground based measurements.
  • Keywords
    إngstrِm exponent , Maritime aerosols , Aerosol optical thickness , Sun photometer
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2004
  • Journal title
    Remote Sensing of Environment
  • Record number

    1574510