摘要
长波辐射加热（ＬＷＲＨ）对气候预报有显著作用．文章比较了６种取自ＧＣＭ的ＬＷＲＨ算法所产生的加热率廓线，表明在有云情况下，ＬＷＲＨ算法对输入变量的敏感性．ＬＷＲＨ算法对ＧＣＭ变化的敏感性测试结果表明，加热率强烈地依赖于模式截断、模式变化（包括长波辐射ＬＷＲ算法）和地表强迫（ＳＳＴ）．引入假观测评价各种ＬＷＲ算法所产生加热率的精确性．在ＣＣＭ２模式中应用ＮＣＡＲ原版本和移植的ＥＣＭＷＦ方案计算ＬＷＲ，结果表明ＥＣＭＷＦ方案比ＣＣＭ２方案在南半球热带地区产生更强的加热率．
Long wave radiative heating(LWRH) has a pronounced impact on climate prediction. The heating rate profiles produced by six GCM algorithms are intercompared, it shows the sensitivity of LWRH to input variables in the presence of deep clouds. The sensitivity of LWRH to GCM changes is tested, showing that the heating rates are strongly dependent on model truncation. model changes including LWR algorithms, and surface forcing (SST). In addition, the pseudo observation is introduced to assess the accuracy of the heating rates heating rates produced by LWR algorithms. Finally the control experiment in CCM2 model with two different LWR algorithms, the NCAR verson native to the model and the implanted ECMWF algorithm, is carried out. It shows that the heating rate with ECMWF algorithm are stronger than those with CCM2 in the southern tropics.
出处
《应用气象学报》
CSCD
北大核心
1997年第A00期78-86,共9页
Journal of Applied Meteorological Science
基金
美国与马里大学气象系气候模式中的辐射加热的研究项目
关键词
全球
气候模式
辐射强迫
加热率
天气预报
Global climate model Long wave radiation Heating rate Pseudo observation Response
