JpGU Meeting 2020
Session outline| Atmospheric and Hydrospheric Sciences(A) | ||
|---|---|---|
| Session Sub-category | Atmospheric Sciences, Meteorology & Atmospheric Environment(AS) | |
| Session ID | A-AS09 | |
| Title | Cloud-Resolving Model Simulations for Climate and Weather Studies | |
| Short Title | Cloud-Resolving Model | |
| Main Convener | Name | Toshihisa Matsui |
| Affiliation | NASA Goddard Space Flight Center | |
| Co-Convener 1 | Name | Masaki Satoh |
| Affiliation | Atmosphere and Ocean Research Institute, The University of Tokyo | |
| Co-Convener 2 | Name | Wei-Kuo Tao |
| Affiliation | NASA Goddard Space Flight Center | |
| Session Language | E | |
| Scope | 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. | |
| Presentation Format | Oral and Poster presentation | |