A Study of Aerosol and Cloud Information Retrievals from CAI Imager on Board GOSAT Satellite

• NAKAJIMA Teruyuki

  Center for Climate System Research, The University of Tokyo

• NAKAJIMA Takashi Y.

  Research and Information Center, Tokai University

• HIGURASHI Akiko

  National Institute for Environmental Studies

• SANO Itaru

  Faculty of Science and Technology, Kinki University

• TAKAMURA Tamio

  Center for Environmental Remote Sensing, Chiba University

• ISHIDA Haruma

  Research and Information Center, Tokai University

• SCHUTGENS Nick

  Center for Climate System Research, The University of Tokyo

Bibliographic Information

Other Title

• GOSAT衛星搭載イメージャーCAIを利用したエアロゾルと雲情報の抽出に関する研究
• GOSAT エイセイ トウサイ イメージャー CAI オ リヨウシタ エアロゾル ト クモ ジョウホウ ノ チュウシュツ ニ カンスル ケンキュウ

Abstract

The GOSAT satellite has been designed for retrieving the carbon dioxide amount in the atmosphere by a Fourier transform spectro-radiometer (TANSO-FTS). It is, however, known that FTS-observed radiances in the near-infrared spectral region are heavily contaminated by a solar radiation component scattered by atmospheric aerosols, which is known as “path radiance”. In order to correct the path radiance, a multispectral visible-near infrared imager (TANSO-CAI) will be on board the GOSAT satellite to acquire the aerosol and cloud information that is indispensable for correcting the atmospheric path radiance to improve the carbon dioxide remote sensing by FTS. In this article, we study aerosol retrieval algorithms and cloud screening algorithms using the four channel radiances of CAI. We also present the methodology for vicarious calibration and validation for the CAI remote sensing, intercomparison of CAI-retrieved aerosol products with those from other satellite-borne sensors, and the data fusion strategy of satellite-measured and model-simulated aerosol properties.

Journal

• Journal of The Remote Sensing Society of Japan

  Journal of The Remote Sensing Society of Japan 28 (2), 178-189, 2008

  The Remote Sensing Society of Japan

Keywords

• GOSAT
• Greenhouse gas
• Cloud and Aerosol Imager
• Cloud screening
• Optimization

Details

• CRID: 1390282679643290496
• NII Article ID: 10024344169
• NII Book ID: AN10035665
• DOI: 10.11440/rssj.28.178
• ISSN: 18831184
• ISSN: 02897911
• NDL BIB ID: 9503190
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I9503190
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed