大気水圏科学(A)
セッション小記号大気科学・気象学・大気環境
セッションIDA-AS01
タイトル和文3D Cloud Modeling as a Tool for 3D Radiative Transfer, and Conversely
英文3D Cloud Modeling as a Tool for 3D Radiative Transfer, and Conversely
タイトル短縮名和文3D Cloud and Radiative Transfer Modeling
英文3D Cloud and Radiative Transfer Modeling
代表コンビーナ氏名和文Thomas Fauchez
英文Thomas Fauchez
所属和文Universities Space Research Association Greenbelt
英文Universities Space Research Association Greenbelt
共同コンビーナ 1氏名和文Anthony B Davis
英文Anthony B Davis
所属和文Jet Propulsion Laboratory
英文Jet Propulsion Laboratory
共同コンビーナ 2氏名和文岩渕 弘信
英文Hironobu Iwabuchi
所属和文東北大学大学院理学研究科
英文Graduate School of Science, Tohoku University
共同コンビーナ 3氏名和文鈴木 健太郎
英文Kentaroh Suzuki
所属和文東京大学大気海洋研究所
英文Atmosphere and Ocean Research Institute, University of Tokyo
発表言語EE
スコープ和文
英文We solicit papers on recent developments in 3D cloud modeling and 3D radiative transfer (RT). Topics of interest include, but are not limited to: - Reports evaluating strengths and weaknesses of Large-Eddy-Simulation (LES) and/or stochastic models for realistic 3D RT and other applications; - Estimations of the effects of unresolved cloud heterogeneity and 3D RT on broadband radiative fluxes and heating rates at the gridscale of GCMs; - Computation of broadband heating rates in cells of LES and cloud-resolving models accounting for 3D RT processes; - Studies dealing with scale breaks in the microphysical/optical property distribution in clouds (modeled or observed) and their implications for RT; - Theoretical studies on the acceleration of exact 3D RT computations, or on how to approach the problem with efficient approximations; - Space-, aircraft- or ground-based observational studies that quantify 3D RT effects and retrieval errors in cloud (as well as aerosol, trace gas or surface) properties due to cloud inhomogeneity and/or 3D adjacency effects; - Theoretical and/or numerical studies of these cloud inhomogeneity and 3D adjacency effects, especially if they lead to methods for mitigating the ensuing retrieval errors; - Creative combinations of cloud modeling and 3D RT for the forward and inverse problems in cloud remote sensing, including their 3D tomographic reconstruction and its application to cloud process studies. Depending on outcome, a special issue in JGR-D is a possibility.
発表方法口頭および（または）ポスターセッション
招待講演Carolin Klinger（Meteorologisches Institut, Ludwig-Maximilians-Universitaet, Munchen, Germany, and,NOAA Earth System Laboratory, Chemical Science Division, Cloud and Aerosol Processes, Boulder CO, USA)
Frederic Szczap（Laboratoire de Meteorologie Physique, UMR 6016, Universite Blaise Pascal, Clermont Ferrand, France)
Georgios Matheou（Jet Propulsion Laboratory/California Institute of Technology, Pasadena, USA)
Haruma Ishida（Meteorological Research Institute Japan Meteorological Agency, Japan)