Improvement of Cirrus Cloud-Top Height Estimation Using Geostationary Satellite Split-Window Measurements Trained with CALIPSO Data

• Nishi Noriyuki

  Faculty of Science, Fukuoka University

• Hamada Atsushi

  Atmosphere and Ocean Research Institute, the University of Tokyo

• Hirose Hitoshi

  Graduate School of Science, Kyoto University

抄録

We developed a method for the estimation of cloud-top height using only split-window channels of infrared observations from geostationary satellites. Lookup tables (LUTs) were constructed based on regression of them with direct observations of cloud top height from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) and Cloud Profiling Radar onboard the CALIPSO and CloudSat satellites, respectively. Our previous estimation scheme using cloud radar underestimated the top heights of cirriform cloud. In this study, using CALIOP data, we succeeded in reducing the underestimation of the height of cirriform clouds. Although CALIOP can detect optically thin clouds around the tropopause, their top heights cannot be estimated well using split-window observations. By defining the altitude at which the optical depth from the top had a specified value τ_min (= 0.2) as the cloud-top height, we could create a practical LUT. In the LUT, the underestimation of the heights of cirriform cloud was corrected substantially, while reducing the effect of the low sensitivity of split-window observations to thin tropopause cloud.

収録刊行物

• SOLA

  SOLA 13 (0), 240-245, 2017

  公益社団法人 日本気象学会

キーワード

• Atmospheric Science

詳細情報

• CRID: 1390282680200709888
• NII論文ID: 130006281964
• DOI: 10.2151/sola.2017-044
• ISSN: 13496476
• Web Site: https://www.jstage.jst.go.jp/article/sola/13/0/13_2017-044/_pdf
• 本文言語コード: en
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