JpGU-AGU Joint Meeting 2017

講演情報

[EE] ポスター発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS01] [EE] 3D Cloud Modeling as a Tool for 3D Radiative Transfer, and Conversely

2017年5月21日(日) 13:45 〜 15:15 ポスター会場 (国際展示場 7ホール)

コンビーナ:Thomas Fauchez(Universities Space Research Association, GSFC Greenbelt)、Anthony B Davis(Jet Propulsion Laboratory)、岩渕 弘信(東北大学大学院理学研究科)、鈴木 健太郎(東京大学大気海洋研究所)

[AAS01-P05] Cloud inhomogeneity effect and its impact on cloud retrieval using passive satellite instruments

*Chenxi Wang1Steven Platnick2Zhibo Zhang3Kerry Meyer4Thomas Fauchez4 (1.ESSIC, University of Maryland, College Park, Maryland, USA、2.NASA Goddard Space Flight Center, Greenbelt, Maryland, USA、3.Department of Physics, University of Maryland, Baltimore County, Baltimore, Maryland, USA、4.Goddard Earth Sciences Technology and Research, Universities Space Research Association, Columbia, Maryland, USA)

キーワード:Cloud retrieval, Cloud inhomogeneity

Cloud optical and microphysical properties, together with cloud-top height, determine cloud radiative effects and impact Earth energy budget. While nature clouds are horizontally and vertically inhomogeneous, most of current retrieval algorithms consider cloud as a homogeneous layer in their forward models. In this study, cloud inhomogeneity effects are investigated in two different ways: (1) cloud sub-pixel inhomogeneity (horizontal inhomogeneous) and (2) vertical inhomogeneity (e.g., cloud microphysical property varies with height). We will show the impact from cloud inhomogeneity effects on current retrieval algorithms relying on observations of passive satellite instruments (e.g., infrared (IR) and/or solar reflectance observations). We also developed retrieval correction method to reduce biases due to cloud inhomogeneity effects.