CAPT (气候变化预言节目和大气的放射测量节目(CCPP 手臂) Parameterization 试验床) 是一个珍贵工具在最近的年里估计气候模型,并且热带温暖的水池国际的云实验(TWP 冰) 收集了全面大小验证它的物理 parameterizations。现在的学习评估二 GAMIL 的表演(格子点国际机场 LASG 的大气的模型) 版本在用 CAPT 的 TWP 冰期间。尽管他们俩模仿了大规模动态状态很好,结果显示 GAMIL2.0 比 GAMIL1.0 在三个不同季风阶段期间复制了云和降雨的更好的移动,它对不同对流 parameterizations 主要可归因。
CAPT and Atmospheric (Climate Change Prediction Radiation Measurement Program Program (CCPP-ARM) Parameterization Testbed) has been a valu- able tool to assess climate models in recent years, and the Tropical Warm Pool-International Cloud Experiment (TWP-ICE) has collected comprehensive measurements to verify its physical parameterizations. The present study evaluates the performances of the two GAMIL (grid-point atmospheric model of lAP LASG) versions during TWP-ICE using CAPT. The results indicate that GAMIL2.0 reproduced better shifts of clouds and rainfall during three distinct monsoon phases than GAMIL1.0, although both of them simulated the large-scale dynamical states well, which are mainly attributable to the different convective parameterizations.