日本地球惑星科学連合2024年大会

講演情報

[E] ポスター発表

セッション記号 M (領域外・複数領域) » M-ZZ その他

[M-ZZ39] Scientific, technical, and educational aspects of renewable energy

2024年5月26日(日) 17:15 〜 18:45 ポスター会場 (幕張メッセ国際展示場 6ホール)

コンビーナ:Pan Chen-Jeih(Department of Space Science and Engineering, National Central University)、Lai Hsin-Chih(Chang Jung Christian University, Taiwan)、楊 時賢(台湾長榮大學)

17:15 〜 18:45

[MZZ39-P01] Cloud observation and solar irradiance estimation using all-sky imagers in Taiwan-II: Cloud recognition

*楊 時賢1Lai Hsin-Chih1,2Pan Chen-Jeih3、Lai Li-Wei1Chen Yiwen3、Hou Hung-Chun4、Teng J.-H.5 (1.Environmental Research and Information Center, Chang Jung Christian University, Taiwan、2.Department of Green Energy and Environmental Resources, Chang Jung Christian University, Taiwan、3.Department of Space Science and Engineering, National Central University, Taiwan、4.東北大学、5.Central Weather Administration, Taiwan)

キーワード:全天球カメラ、雲量、日射、太陽エネルギー、雲光学的厚さ

This presentation is the follow-up to our former presentation at JpGU Meeting 2023, focusing on cloud recognition techniques. An all-sky imager (ASI) records all things, including the clear sky and clouds in the whole sky. After the imager takes an image, clouds within the image shall be recognized to count cloud cover and provide cloud information for any desired applications. The literature gives several methods and parameters to recognize the clear sky and clouds within an all-sky image. However, most criteria used in the literature are established in subjective ways and only applied to a specific ASI module. In the present study, we have conceived a new method for cloud recognition, which is named the ASI-COT method. COT, which stands for "cloud optical thickness," is a common parameter for meteorological satellite measuring, and it describes the attenuation of the light passing through clouds. Imitating the COT parameter of satellite observation, we have defined the ASI version of COT (hereafter, ASI-COT). ASI-COT is an objective parameter. It is defined according to a pyranometer accompanied by the ASI. The ASI-COT method can be applied to any ASI (any module and any place), though the corresponding criteria for cloud recognition at each ASI station may differ. A 10-level ASI-COT example will be demonstrated in this presentation, and its applications on solar irradiation estimation will be introduced as well.