On Nesting Area Selection of Regional Climate Models Coupled to a Global Climate Model
论区域气候模式与全球模式嵌套时边界区的选择

Three experiments are conducted in this paper. The first one uses a GCM only and its purpose is to access the GCM capability of predicting the regional climate change and to determine the model error distribution. The second and the third ones are the comparative nesting experiments. One of them has a model domain that we are interested in and a nesting area without special consideration of the error distribution in the GCM, while the other has a nesting area selected according to the GCM error distribution. In all of the three experiments the precipitation processes in May, June and July of 1998 in China are simulated and comparisons of the models' results are made. It is found that the results of modeling by only use of a GCM are the worst, while the results of the third experiment are the best. Therefore, the errors of the boundary values in a GCM are of important influences on the simulated results when a regional climate model is coupled to the GCM. If the nesting area is selected in the minimum error district of the GCM, the efficiency of regional climate modeling and prediction would be much better than that without such selection of a nesting area.