Paper
13 October 2017 Role of near ultraviolet wavelength measurements in the detection and retrieval of absorbing aerosols from space
Sonoyo Mukai, Toshiyuki Fujito, Makiko Nakata, Itaru Sano
Author Affiliations +
Abstract
Aerosol remote sensing by ultraviolet (UV) wavelength is established by a Total Ozone Mapping Spectrometer (TOMS) mounted on the long-life satellite Nimbus-7 and continues to make observations using Ozone monitoring instrument (OMI) located on the Aura satellite. For example, TOMS demonstrated that UV radiation (0.331 and 0.360 μm) could easily detect absorbing particles such as mineral dust or smoke aerosols. TOMS-AI (absorbing aerosol index) has been used to identify the absorbing aerosols from space. For an upcoming mission, JAXA/GCOM-C will have the polarization sensor SGLI boarded in December 2017. The SGLI has multi (19)-channels including near UV (0.380 μm) and violet (0.412 μm) wavelengths. This work intends to examine the role of near UV data in the detection of absorbing aerosols similar to TOMS-AI played. In practice, the measurements by GLI mounted on the short Japanese mission JAXA/ADEOS-2, whose data archive period was just 8 months from April to October in 2003, are available for simulation of SGLI data because ADEOS-2/GLI installed near UV and violet channels. First of all, the ratio of data at 0.412 μm to that at 0.380 μm is examined as an indicator to detect absorbing aerosols on a global scale during ADEOS-2 era. It is noted that our research group has developed an efficient algorithm for aerosol retrieval in hazy episodes (dense concentrations of atmospheric aerosols). It can be said that at least this work is an attempt to grasp the biomass burning plumes from the satellite.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sonoyo Mukai, Toshiyuki Fujito, Makiko Nakata, and Itaru Sano "Role of near ultraviolet wavelength measurements in the detection and retrieval of absorbing aerosols from space", Proc. SPIE 10424, Remote Sensing of Clouds and the Atmosphere XXII, 104240X (13 October 2017); https://doi.org/10.1117/12.2277826
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Cited by 3 scholarly publications.
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KEYWORDS
Aerosols

Atmospheric particles

Near ultraviolet

Atmospheric modeling

Satellites

Refractive index

Reflectivity

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