Direct Validation of GCM Parameterizations Against TOGA-COARE Observations

题目：GCM参数化对TOGA- COARE观测结果的直接验证该基金支持一个研究项目，该项目使用TOGA COARE数据集测试和验证数值气候模式中使用的物理参数化。重点是大气对流和云辐射相互作用的参数化。这个想法是使用一个一维的大气柱诊断模型，该模型覆盖在单个GCM（一般环流模式）网格单元大小的区域上，并与一个混合层海洋模式耦合。水平通量收敛由观测到的COARE数据指定，并及时集成单柱模型（SCM）。将单片机输出的温度、湿度、云及其性质、绝热加热项、地表能量平衡项等与观测结果进行了比较，并得出了科学的推论。这项工作不仅可以比较不同的参数化，而且可以改进它们，进而也可以改进气候模式。

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.