HR: 1340h
AN: A53A-0863    [Abstracts]
TI: Regional Climate Modeling for Global Warming Prediction in MRI/JMA
AU: * Kurihara, K
EM: kkurihar@mri-jma.go.jp
AF: Meteorological Research Institute, 1-1 Nagamine, Tsukuba, 305-0052 Japan
AU: Sasaki, H
AF: Meteorological Research Institute, 1-1 Nagamine, Tsukuba, 305-0052 Japan
AU: Takayabu, I
AF: Meteorological Research Institute, 1-1 Nagamine, Tsukuba, 305-0052 Japan
AU: Murazaki, K
AF: Meteorological Research Institute, 1-1 Nagamine, Tsukuba, 305-0052 Japan
AU: Tsujino, H
AF: Meteorological Research Institute, 1-1 Nagamine, Tsukuba, 305-0052 Japan
AU: Ishizaki, H
AF: Meteorological Research Institute, 1-1 Nagamine, Tsukuba, 305-0052 Japan
AU: Yasunaga, K
AF: AESTO, 1-1 Nagamine, Tsukuba, 305-0052 Japan
AU: Muroi, C
AF: Meteorological Research Institute, 1-1 Nagamine, Tsukuba, 305-0052 Japan
AU: Yoshizaki, M
AF: Meteorological Research Institute, 1-1 Nagamine, Tsukuba, 305-0052 Japan
AU: Yukimoto, M
AF: Meteorological Research Institute, 1-1 Nagamine, Tsukuba, 305-0052 Japan
AU: Noda, A
AF: Meteorological Research Institute, 1-1 Nagamine, Tsukuba, 305-0052 Japan
AB: Regional Climate Models have been powerful tools to investigate and predict regional climate change over Japan due to Global Warming. MRI/JMA is developing new RCMs for Global Warming prediction: 1) Cloud-Resolving Nonhydrostatic Regional Climate Model (NHRCM, hereafter) with 5km resolution and 2) Atmosphere-Ocean Coupled Regional Climate Model (CRCM). The Cloud-Resolving Nonhydrostatic Regional Climate Model was developed in the project _gResearch Revolution 2002_h using the Earth Simulater, the biggest computer in the world. The NHRCM has 5km resolution (grid number: 800x600) and contains sophisticated cloud microphysics as precipitation process. The Spectral Boundary Coupling (SBC), which was developed and was modified for nonhydrostatic model in MRI, was adopted to introduce large-scale information from an outer model. The model is to predict climate change over Japan including small-scale intense rainstorm, which is generated by well-organized convective system of several tens of km. Long-term integration with objective analysis data for lateral boundary condition showed that the model is capable of reproducing present climate with detailed structures of precipitation. Time slice experiments for regional climate change due to Global Warming was conducted targeting the rainy season of Japan in June and July. Lateral boundary condition was supplied from a Global Climate Model of 20km resolution, which was also developed in MRI/JMA. Results by the NHRCM show that the Baiu front does not move northward and stayed along the southern coastal line of the main island of Japan in the future. As a result, in July, precipitation in western Japan increases on the southern side due to Global Warming. At the same time, number of intense precipitation also increase during the season. On the other hand, in northern part of Japan, precipitation amount decreases. Atmosphere-Ocean Coupled Model was developed to predict regional climate with atmosphere-ocean interactions in more sophisticated manner. Using the CRCM, regional climate changes of the ocean can be predicted as well as atmospheric changes around Japan. The CRCM consists of two part, a High-Resolution Ocean Model (Lon:1/4, Lat:1/6),which was developed in Oceanographic Research Department, MRI, and a 20km-mesh RCM. The 20km-mesh RCM is a hydrostatic model with parameterized precipitation processes. The SBC for hydrostatic model is used as the nesting scheme. They are coupled with each other by a coupler every hour. A present climate experiment and a warm climate experiment for Global Warming are being conducted. They are not completed at this stage, but preliminary results show that SST of the Japan Sea is improved by the CRCM. Details of the models and results of prediction will be shown in the meeting.
DE: 3339 Ocean/atmosphere interactions (0312, 4504)
DE: 3300 METEOROLOGY AND ATMOSPHERIC DYNAMICS
DE: 1600 GLOBAL CHANGE (New category)
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting