Vertical profile of cloud and radiation budget observed by satellite

早坂 忠裕; 三井 文乃; 高橋 直也

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インターナショナルセッション（口頭発表）

セッション記号 A (大気水圏科学) » A-CG 大気水圏科学複合領域・一般

[A-CG10] Earth and Planetary satellite observation project Part II

2016年5月23日(月) 15:30 〜 17:00 303 (3F)

コンビーナ:*沖理子(宇宙航空研究開発機構)、早坂忠裕(東北大学大学院理学研究科)、佐藤薫(東京大学　大学院理学系研究科　地球惑星科学専攻)、佐藤正樹(東京大学大気海洋研究所)、本多嘉明(千葉大学環境リモートセンシング研究センター)、奈佐原顕郎(筑波大学生命環境系)、中島孝(東海大学情報理工学部情報科学科)、沖大幹(東京大学生産技術研究所)、松永恒雄(国立環境研究所環境計測研究センター)、高薮縁(東京大学大気海洋研究所)、村上浩(宇宙航空研究開発機構地球観測研究センター)、岡本創(九州大学)、Gail Skofronick Jackson(NASA Goddard Space Flight Center)、Paul Chang(NOAA College Park)、Crisp David(Jet Propulsion Laboratory, California Institute of Technology)、座長:Chang Paul(NOAA College Park)、沖大幹(東京大学生産技術研究所)

16:45 〜 17:00

[ACG10-12] Vertical profile of cloud and radiation budget observed by satellite

*早坂忠裕¹、三井文乃¹、高橋直也¹ (1.東北大学大学院理学研究科)

キーワード：cloud, radiation, satellite

Vertical profile of cloud is obtained from space-borne active sensors such as CPR/CloudSat and CALIOP/CALIPSO. We used three CloudSat products, 2B-GEOPROF-LIDAR, 2B-TAU, and 2B-FLXHR-LIDAR to reveal spatial and seasonal properties of clouds. Cloud vertical profiles are classified into 10 types referred to ISCCP. Obtained cloud profiles are discussed with meteorological and sea surface conditions such as wind, water vapor surface air temperature and sea surface temperature. The results show that a combination of low-cloud and high-cloud is frequently observed in tropical and mid-latitude regions and these clouds are formed according to different mechanisms. It is also shown that overlapping of cloud affect longwave radiation budget at the top of the atmosphere. Overlying cloud decreases the cooling rate at the uppermost layer of low-cloud, and it affect the formation and dissipation of low-cloud. In the analysis of three data products, some inconsistency was found, which was attributed to unsuccessful retrieval of cloud water content and effective radius of cloud particle. Therefore, it is noted that quantitative evaluation of the product is critical to application of these cloud data to radiation and climate change studies.