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Proceedings Paper

Estimation algorithm for aerosol properties from CAI on GOSAT
Author(s): I. Sano; S. Mukai; M. Mukai; B. Holben; I. Slutsker
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Paper Abstract

Green house gases observational satellite (GOSAT) was successfully launched on 23 January in 2009 by JAXA. The satellite carries two sensors, Fourier Transform Spectrometer (FTS) and Cloud Aerosol Imager (CAI). The CAI has four observing wavelengths as 0.38, 0.67, 0.87 and 1.6 μm. It is shown here that this CAI/0.38μm is a unique observing band among usual sensors as MODIS and so on, and it is useful to distinguish the aerosol characteristics of absorbing (e.g., biomass burning) or non-absorbing (e.g., sulfate). In other word, this work proposed a space based retrieval algorithm for atmospheric aerosols including estimation of the optical constant for biomass burning particles. Our algorithm aims to apply the combination use of near UV data with GOAT/CAI, the violet data with Aqua/MODIS and near-IR polarization data with PARASOL/POLDER. In practice the algorithm has been partly examined by using ADEOS-2 / GLI data.

Paper Details

Date Published: 29 September 2009
PDF: 8 pages
Proc. SPIE 7475, Remote Sensing of Clouds and the Atmosphere XIV, 74751E (29 September 2009); doi: 10.1117/12.830155
Show Author Affiliations
I. Sano, Kinki Univ. (Japan)
S. Mukai, Kinki Univ. (Japan)
M. Mukai, JAXA/EORC (Japan)
B. Holben, NASA Goddard Space Flight Ctr. (United States)
I. Slutsker, NASA Goddard Space Flight Ctr. (United States)

Published in SPIE Proceedings Vol. 7475:
Remote Sensing of Clouds and the Atmosphere XIV
Richard H. Picard; Klaus Schäfer; Adolfo Comeron; Evgueni I. Kassianov; Christopher J. Mertens, Editor(s)

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