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...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.展开更多
基金supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (Grant No. KZCX2-YW-Q11-04)the National High Technology Research and Development Program of China (863 Program,Grant No. 2010AA012304)+2 种基金the National Basic Research Program of China (973 Program, Grant No. 2010CB951904)the Chinese Academy of Sciences Strategic Priority Research Program (Grant No. XDA05110304)the National Natural Science Foundation of China (Grant Nos. 41023002 and 41005053)
文摘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.
