Simulation of January and July Mean Climate and Validation of IAP GCM
1月和7月月平均气候的模拟与IAP GCM模式效能检证

The January and July monthly mean climate of 25 years simulation resucts by the IAP GCM are analysed and compared with the observational data and the simulation results by the OSU GCM and many other GCMs. The compared atmospheric variables include sea-level pressure, surface air temperature and precipitation and many other variables related to wind, heating and moisture fields. It is shown that the IAP GCM can simulate the most of features of the large-scale distributions more accurately than the OSU GCM, and therefore, the model has a good ability to simulate the January and July climate. Particularly, due to similarities of physical processes between the two models, the above result further demonstrates the superiority of dynamical frame and computational scheme of the IAP GCM to those of the OSU GCM. On the other hand, the model simulates a more shallow Antarctic trough, a higher temperature in the region covered by ices and snows and a higher precipitation rate in some regions with precipitation centers. Besides, some ideas about the simulation discrepancies and improvements of the model are also mentioned. Finally, the meridional transports of zonal momentum, heat and water vapor in the model are analysed.