*Huiyan Xu1 (1.Zhejiang University)
Session information
[EE] Poster
A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment
[A-AS02] [EE] Cloud-Resolving Model Simulations for Cloud-Related Processes in Climate and Weather Studies
Mon. May 22, 2017 10:45 AM - 12:15 PM Poster Hall (International Exhibition Hall HALL7)
convener:Toshi Matsui(NASA GSFC & ESSIC UMD), Masaki Satoh(Atmosphere and Ocean Research Institute, The University of Tokyo), Wei-Kuo Tao(Mesoscale Atmospheric Processes Laboratory)
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.
*Guoqing Zhai1 (1.Zhejiang University)
*Toshi Matsui1 (1.NASA GSFC & ESSIC UMD)
*Naomi Kuba1, Kentaroh Suzuki1, Woosub Roh1, Tatsuya Seiki2, Masaki Satoh1,2 (1.Atmosphere and Ocean Research Institute, The University of Tokyo , 2.Japan Agency for Marine-Earth Science and Technology)
*Naoko Seino1, Ryoko Oda2, Hirofumi Sugawara3, Toshinori Aoyagi1 (1.Meteorological Research Institute, 2.Chiba Institute of Technology, 3.National Defense Academy)
*Akihiro Hashimoto1, Masataka Murakami1,2, Shigenori Haginoya1 (1.Meteorological Research Institute, Japan Meteorological Agency, 2.Institute for Space-Earth Environmental Research, Nagoya University)
*Tomoki Ohno1 (1.Atmosphere and Ocean Research Institute, The University of Tokyo)
*Suranjith Bandara Koralegedara1,2,3, Chuan Yao Lin1,2, Yang Fan Sheng2 (1.Earth System Science Program, Taiwan International Graduate Program, Academia Sinica, Taipei, Taiwan, 2.Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan, 3.Institute of Atmospheric Physics, College of Earth Science, National Central University, Zhongli, Taiwan)
*Ying-Wen Chen1, Tatsuya Seiki1, Chihiro Kodama1, Masaki Satoh2,1, Akira T. Noda1 (1.Japan Agency for Marine-Earth Science and Technology, 2. Atmosphere and Ocean Research Institute, The University of Tokyo)
*Deepak Aryal1 (1.Tribhuvan University)
*Jung-Tae Lee1, Dong-In Lee1, Shingo Shimizu3, Sang-Min Jang2 (1.Division of Earth Environmental System Sciences, Pukyong National University, Korea, 2.Climate Application Team, Climate Application Department, APEC climate center, Korea, 3.Storm, Flood, and Land-Slide Research Department, NIED, Japan)
*Woosub Roh1, Masaki Satoh1, Tempei Hashino2, Hajime Okamoto2 (1.AORI, the university of Tokyo, 2.RIAM, Kyushu university)