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[A-AS01][EE] 3D Cloud Modeling as a Tool for 3D Radiative Transfer, and Conversely
2017年5月21日(日) 17:15 〜 18:30
ポスター会場 国際展示場 7ホール
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.
- 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.
[AAS01-P01]A FAST HYBRID (3D/1D) MODEL FOR THERMAL RADIATIVE TRANSFER IN CIRRUS VIA SUCCESSIVE ORDERS OF SCATTERING
*Thomas Fauchez1、Anthony B Davis2、Celine Cornet3、Frederic Szczap4、Steven Platnick5、Philippe Dubuisson3 (1.Universities Space Research Association, GSFC Greenbelt、2.Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA、3.Laboratoire d'Optique Atmosphérique, UMR 8518, Université Lille 1, Villeneuve d'Ascq, France、4.Laboratoire de Météorologie Physique, UMR 6016, Université Blaise Pascal, Clermont Ferrand, France 、5.NASA Goddard Space Flight Center, Greenbelt, MD, USA)
[AAS01-P02]Spatial-scale Characteristics of Three-dimensional Cloud-resolving Radiation Budget by Monte Carlo Radiative Transfer Simulations
*太田 芳文1 (1.気象庁気象研究所)
[AAS01-P03]Assessments of Cloud Heterogeneity Effects on the POLDER3/PARASOL retrieved cloud parameters
Céline Cornet1、*Frédéric SZCZAP2、Laurent C-Labonnote1、Fabien Waquet1、Lucia Deaconu1、Frédéric Parol1、Jérôme Riédi1、François Thieuleux1 (1.Université Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, F-59000 Lille, France、2.Université Blaise Pascal, UMR 6016, Laboratoire de Météorologie Physique, Aubière, France )
[AAS01-P04]CIRRUS HORIZONTAL HETEROGENEITY EFFECTS ON CLOUD OPTICAL PROPERTIES RETRIEVED FROM MODIS VNIR TO TIR CHANNELS
Thomas Fauchez1,2、Steven Platnick1、*Odran Sourdeval3、Kerry Meyer1,4、Celine Cornet5、Frédéric SZCZAP6 (1.NASA Goddard Space Flight Center, Greenbelt, MD, USA、2.Universities Space Research Association (USRA), Columbia, MD, USA、3.Institute for Meteorology, Faculty of Physics and Earth Sciences, University of Leipzig, Germany、4.Goddard Earth Sciences Technology and Research (GESTAR), Universities Space Research Association, Columbia, MD, USA、5.Laboratoire d'Optique Atmosphérique, UMR 8518, Université Lille 1, Villeneuve d'Ascq, France、6.Laboratoire de Météorologie Physique, UMR 6016, Université Blaise Pascal, Clermont Ferrand, France)
[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)
[AAS01-P06]Large Eddy Simulation and 3D Radiative Transfer Modeling in Support of Multi-Angle Remote Sensing of Clouds and Aerosols, With or Without Imaging
*Anthony B Davis1、Georgios Matheou1、Feng Xu1、Claudia Emde2、Zheng Qu、Aviad Levis3、Yoav Y Schechner3 (1.Jet Propulsion Laboratory / California Institute of Technology、2.Meteorologisches Institut, Ludwig Maximilians-Universität、3.Department of Electrical Engineering, Technion - Israel Institute of Technology)
[AAS01-P07]写真から3Dモデリングをするときのための最適な条件の分析
*下野 真弥1、平田 憲1、Purwanto Ade4、村橋 究理基4、川俣 大志1,2、成瀬 延康3、高橋 幸弘1,4 (1.北海道大学グローバルサイエンスキャンパス、2.北海道大学高等教育推進機構、3.滋賀医科大学、4.北海道大学大学院理学研究院)
[AAS01-P08]Variational Iteration Method for Infrared Radiative Transfer in a Scattering Medium
*Feng Zhang1,2、Yi-Ning Shi2、Jiangnan Li3、Kun Wu2、Hironobu Iwabuchi1 (1.Tohoku University、2.Nanjing University of Information Science and Technology、3.Canadian Center for Climate Modeling and Analysis, University of Victoria)