JpGU-AGU Joint Meeting 2017

Presentation information

[EE] Poster

A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

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

Sun. May 21, 2017 1:45 PM - 3:15 PM Poster Hall (International Exhibition Hall HALL7)

convener:Thomas Fauchez(Universities Space Research Association, GSFC Greenbelt), Anthony B Davis(Jet Propulsion Laboratory), Hironobu Iwabuchi(Graduate School of Science, Tohoku University), Kentaroh Suzuki(Atmosphere and Ocean Research Institute, University of Tokyo)

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

*Chenxi Wang1, Steven Platnick2, Zhibo Zhang3, Kerry Meyer4, Thomas 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)

Keywords: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.