*Yousuke Sato1,2, Yoshiaki Miyamoto3,2, Hirofumi Tomita2 (1.Faculty of Science, Department of Earth and Planetary Sciences, Hokkaido University, 2.RIKEN Center for Computational Science, 3.Faculty of Environment and Information Studies, Keio University)
Session information
[E] Oral
A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment
[A-AS09] Cloud-Resolving Model Simulations for Climate and Weather Studies
convener:Toshihisa Matsui(NASA Goddard Space Flight Center), Masaki Satoh(Atmosphere and Ocean Research Institute, The University of Tokyo), Wei-Kuo Tao(NASA Goddard Space Flight Center)
Cloud-resolving models (CRMs) employs nonhydrostatic dynamic core, explicit microphysics and radiation processes to provide physically-realistic simulations of cloud structures, optical properties, and latent heat release, without parameterizing deep convection in coarse-resolution weather and climate models. CRMs can be run at a few km down to sub-km of horizontal grid spacing depending on science application and focused cloud systems. Over the past few decades, CRMs have been utilized in a variety of weather and climate studies; such as 1) understanding cloud-precipitation processes and interactions with aerosols, surface, radiation, and lightning processes, 2) evaluating and developing microphysics and convection with various in-situ and remote sensing observations, and 3) addressing climate issues to develop or replace convective-cloud parametrizations for global or regional atmospheric models. The goal of this session is to showcase the current efforts for these studies in the atmospheric community.
Cancelled
*chengzhong zhang1 (1.ITMM)
*Akihiro Hashimoto1, Hiroki Motoyoshi2, Narihiro Orikasa1, Ryohei Misumi2, Masashi Niwano1 (1.Meteorological Research Institute, 2.National Research Institute for Earth Science and Disaster Resilience)
*Makoto Kondo1, Yousuke Sato2, Masaru Inatsu2, Yuuta Katsuyama1 (1.Graduate School of Science, Hokkaido University, 2.Faculty of science, Hokkaido University)
*Xiaowen Li1, Wei-Kuo Tao2 (1.Morgan State Univ., 2.NASA/GSFC)
*Toshihisa Matsui1,4, David B. Wolff5, Karen Mohr1, Stephen E. Lang1,3, Minghua Zhang2 (1.NASA GSFC , 2.Stony Brook University, 3.SCIENCE SYSTEMS AND APPLICATIONS INC, 4.ESSIC UMD, 5.NASA WFF)