Japan Geoscience Union Meeting 2018

Presentation information

[EE] Evening Poster

A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS01] High performance computing for next generation weather, climate, and environmental sciences

Sun. May 20, 2018 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall7, Makuhari Messe)

convener:Hiromu Seko(Meteorological Research Institute), Chihiro Kodama(Japan Agency for Marine-Earth Science and Technology), Masayuki Takigawa(独立行政法人海洋研究開発機構, 共同), Takemasa Miyoshi(RIKEN Advanced Institute for Computational Science)

[AAS01-P02] Preliminary results of a high-resolution climate simulation using the Non-hydrostatic Icosahedral Atmospheric Model, NICAM, for CMIP6 HighResMIP

*Chihiro Kodama1, Masaki Satoh2,1, Tomoki Ohno1, Akira T Noda1, Hisashi Yashiro3, Yohei Yamada1, Masuo Nakano1, Tatsuya Seiki1, Tomoe Nasuno1, Ying-Wen Chen2, Tomoki Miyakawa2, Masato Sugi4, Woosub Roh2 (1.Japan Agency for Marine-Earth Science and Technology, 2.Atmosphere and Ocean Research Institute, the University of Tokyo, 3.RIKEN Advanced Institute for Computational Science, 4.Meteorological Research Institute)

Keywords:high-resolution climate simulation, global non-hydrostatic model, tropical cyclone

We introduce a series of climate simulations using the Non-hydrostatic Icosahedral Atmospheric Model, NICAM. Though our typical resolution range is 3.5-14 km for seasonal integration, a relatively coarser mesh size is chosen for multi-decadal integration. In Kodama et al. (2015, J. Meteor. Soc. Japan), we have performed the AMIP-type 30-year simulations with a mesh size of 14 km under the present and future boundary conditions. Although we switch off cumulus parameterization scheme in order to keep physics schemes consistently across resolutions between 3.5 and 14 km, the simulated climatology is fairly good, competitive with other climate models. The advantage of a fine-mesh global climate simulation is that atmospheric multi-scale phenomena ranging from large-scale circulation to meso-scale features associated with convection, front, severe rainfall, atmospheric gravity waves are represented in a seamless manner. For example, we discuss statistics of detailed structure of multi-scale convective systems and extremes such as tropical cyclones; Yamada et al. (2017, J. Climate) analyzed the NICAM AMIP-type simulation dataset and showed widening of the intense wind speed area around the tropical cyclones due to global warming. Now, targeting the CMIP6 HighResMIP, we are performing further longer time integrations for 65 years. The simulations are initialized on 1st January 1950. Because multiple choice of resolution is required, we use mesh sizes of 14, 28, and 56 km. The model used here has been updated and tuned in terms of cloud microphysics (Roh and Satoh, 2014, J. Atmos. Sci.), aerosol, orographic gravity wave and land model to improve performance of the simulated climatology. Of particular interest here is performance in genesis, development, track and structure of tropical cyclone, and we will show some preliminary results including impact of the horizontal resolution on tropical cyclone statistics.