作者: Seiji Yukimoto , Akira Noda , Akio Kitoh , Masato Sugi , Yoshiteru Kitamura
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摘要: A new version of a global coupled atmosphere-ocean general circulation model (MRI-CGCM2) has been developed at the Meteorological Research Institute (MRI). The can be used to explore climate change associated with anthropogenic forcings. We aimed reduce drawbacks former (MRI-CGCM1, Tokioka. et. al., 1996) and achieve more realistic climatic mean variability predict changes greater accuracy. In preliminary analysis control run, showed generally good performance in reproducing (including seasonal variation) representative aspects; surface air temperature, precipitation, snow sea ice distribution, ocean structure circulation. is capable making stable integration longer than 200 years. distribution much improved close observed extent thickness. simulates strength meridional overturning Atlantic Ocean that MRI-CGCM1 failed simulate. realistically variabilities such as Arctic Oscillation (AO) ENSO. Temporal variation temperature (SST) anomaly NINO3 region (150°W 90°W, 4°S 4°N) shows large positive value (max. +4°C) several years interval. SST pattern similar El Nino strong central-eastern equatorial Pacific. still some biases present. winter high latitude warm bias due weaker stability boundary layer. over land summer also problem concerning hydrological process.