Direct Validation of GCM Parameterizations Against TOGA-COARE Observations

美国加州大学圣迭戈分校ATM-9613764，Richard C.J.标题：对照TOGA-COARE观测直接验证大气环流模式参数这项拨款支持一项研究计划，该计划使用TOGA COARE数据集来测试和验证数值气候模式中使用的物理参数。重点是大气对流和云辐射相互作用的参数化。其想法是使用一个大气柱的一维诊断模型，该模型覆盖在与混合层海洋模型耦合的单个GCM(通用环流模型)网格单元大小的区域上。水平通量收敛由观测的COARE数据确定，单柱模式(SCM)在时间上积分。将SCM输出的温度、湿度、云及其性质、非绝热加热项、地表能量平衡项等与观测结果进行了比较，得出了科学的推论。这项工作不仅将导致比较不同的参数化方案，而且还将改进它们，反过来气候模式也是如此。

Abstract ATM-9613764 Somerville, Richard C.J. University of California, San Diego Title: Direct Validation of GCM Parameterizations Against TOGA- COARE Observations This grant supports a program of research that uses TOGA COARE data sets for the testing and validation of physical parameterizations used in numerical climate models. The focus is on the parameterization of atmospheric convection and cloud radiation interactions. The idea is to use a one dimensional diagnostic model of the atmospheric column overlying a region of the size of a single GCM (General Circulation Model) grid cell coupled to a mixed layer ocean model. Horizontal flux convergences are specified by the observed COARE data and the Single Column Model (SCM) is integrated in time. The SCM output like temperature, humidity, clouds and their properties, diabatic heating terms, surface energy balance terms etc. are compared with observations and scientific inferences are drawn. This work will not only result in comparing different parameterizations but also in improving them and in turn the climate models are also.