Direct Validation of GCM Parameterizations Against TOGA-COARE Observations

根据 TOGA-COARE 观测直接验证 GCM 参数化

• 批准号: 9613764
• 负责人: Richard Somerville
• 金额: $ 21.05万
• 依托单位: University of California-San Diego Scripps Inst of Oceanography
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-01-01 至 1999-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9613764&HistoricalAwards=false
• 关键词: Direct; Validation; GCM; Parameterizations; Against

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.

摘要 ATM-9613764 Somerville, Richard C.J. 加州大学圣地亚哥分校 标题：根据 TOGACOARE 观测直接验证 GCM 参数化 此项资助支持一项研究计划，该计划使用 TOGA COARE 数据集来测试和验证数值气候模型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。 这个想法是使用大气柱的一维诊断模型，该模型覆盖单个 GCM（大气环流模型）网格单元大小的区域，并与混合层海洋模型耦合。 水平通量收敛由观测到的 COARE 数据指定，并且单柱模型 (SCM) 会及时积分。 将 SCM 输出（如温度、湿度、云及其属性、非绝热加热项、表面能量平衡项等）与观测结果进行比较，并得出科学推论。 这项工作不仅会比较不同的参数化，还会改进它们，进而改进气候模型。