セッション概要
大気水圏科学(A) | |||
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セッション小記号 | 大気科学・気象学・大気環境 | ||
セッションID | A-AS02 | ||
タイトル | 和文 | Cloud-Resolving Model Simulations for Cloud-Related Processes in Climate and Weather Studies | |
英文 | Cloud-Resolving Model Simulations for Cloud-Related Processes in Climate and Weather Studies | ||
タイトル短縮名 | 和文 | Cloud-Resolving Models | |
英文 | Cloud-Resolving Models | ||
代表コンビーナ | 氏名 | 和文 | Toshi Matsui |
英文 | Toshi Matsui | ||
所属 | 和文 | NASA GSFC & ESSIC UMD | |
英文 | NASA GSFC & ESSIC UMD | ||
共同コンビーナ 1 | 氏名 | 和文 | 佐藤 正樹 |
英文 | Masaki Satoh | ||
所属 | 和文 | 東京大学大気海洋研究所 | |
英文 | Atmosphere and Ocean Research Institute, The University of Tokyo | ||
共同コンビーナ 2 | 氏名 | 和文 | Wei-Kuo Tao |
英文 | Wei-Kuo Tao | ||
所属 | 和文 | Senior Scientist | |
英文 | Mesoscale Atmospheric Processes Laboratory | ||
発表言語 | EE | ||
スコープ | 和文 | ||
英文 | Cloud-system-related problems are at the heart of global and regional climate simulations and the understanding of climate change. Convective clouds not only release latent heat from condensation and vertically redistribute heat and moisture, but also play important role in the global and regional hydrological cycle through the precipitation and the modification of shortwave and longwave radiative fluxes at the ocean and land surface. However, the representation of cloud systems in general circulation models (GCMs) and regional climate models (RCMs) remains one of major challenges for the climate simulations. The improvement to the existing convection and cloud parameterization schemes in GCMs has been slow. The development of cloud-resolving models (CRMs) provides a unique opportunity to evaluate and improve the existing convection, cloud and radiation schemes. While GCMs require convection and cloud parameterizations, CRMs explicitly resolve convection and mesoscale organization, where cloud microphysical processes and cloud-radiation interactions directly respond to the cloud-scale dynamics. Increasing studies have been focused on the application of CRM simulations to improve parameterizations of subgrid-scale physical processes in GCMs; to understand the interaction of cloud systems with large-scale circulations; and to replace the cloud-related parameterizations in GCMs. The goal of this session is to showcase the current efforts on this challenging task and encourage the collaboration between the CRM, GCM and RCM modelers. Wider areas of studies on applications of CRM in climate, weather, and environmental simulations are also acceptable. | ||
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 | 佐藤陽祐(理化学研究所・計算科学研究機構) 伊藤 純至(気象研究所) Andrea M. Molod(NASA Goddard Space Flight Center) |