TOGA: Process-Oriented Diagnostic Modeling for TOGA-COARE

TOGA：TOGA-COARE 的面向过程的诊断建模

• 批准号: 9114109
• 负责人: Richard Somerville
• 金额: $ 13.5万
• 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: 1992
• 资助国家: 美国
• 起止时间: 1992-06-01 至 1996-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9114109&HistoricalAwards=false
• 关键词: TOGA; Process; Oriented; Diagnostic; Modeling

This research uses an innovation diagnostic modeling approach together with TOGA-COARE data sets to test and validate critical aspects of physical process parameterizations. The model is a computationally efficient and economical one-dimensional (vertical) model, resembling a single GCM grid cell, to be applied to sites in the TOGA-COARE domain. The present version of the model contains a full set of modern GCM parameterization of subgrid physical processes. It includes vertical transport by convection and turbulent mixing, radiative transfer with interactive clouds, and a complete hydrologic cycle. The ocean model is currently a simple mixed layer, synchronously coupled to the atmosphere through a surface energy budget computation. To force the model, the advective terms in the budget equations will be specified observationally from TOGA-COARE observations. The model is diagnostic rather than prognostic. Its input is an initial state, plus the time-dependent advection terms in the conservation equations, provided at all model layers. Its output is a complete heat and water budget for the coupled ocean- atmosphere column, including temperature and moisture profiles, clouds and their radiative properties, diabatic heating terms, surface energy balance components, and hydrologic cycle elements, all specified as functions of time. Sample integrations of the model for test cases are presented and verified against observations. These diagnostic analyses suggest that this type of model may be useful in TOGA-COARE for applications including interpretation of results from multi-dimensional models, validation of surface flux data, and estimation of sensitivity to alternative physical processes. The proposal describes a coordinated program of model development, diagnostic modeling, and linkages with GCM experiments and with observations. This research is important because it is one of the TOGA-COARE studies that investigates air-sea interactions in the context of the physical processes that impact climate variability, in an especially climate sensitive region of the world, the western Pacific Ocean, the field site of TOGA-COARE.

本研究采用创新诊断建模方法 与TOGA-COARE数据集一起测试和验证关键 物理过程参数化方面。 该模型是一个 计算效率和经济的一维 （垂直） 模型，类似于一个单一的GCM网格单元，适用于网站 在TOGA-COARE域中。 模型的当前版本 包含了一整套现代GCM参数化的子网格 物理过程。 它包括通过对流的垂直输送 湍流混合，辐射传输与相互作用的云， 一个完整的水循环。 海洋模型目前是一个 简单混合层，与大气同步耦合 通过表面能量预算计算。 为了迫使模型， 收支方程中的平流项将被指定 从TOGA-COARE的观测结果来看。 该模型是诊断性的，而不是预测性的。 它的输入是 初始状态，加上时间依赖的平流项， 守恒方程，在所有模型层提供。 其输出 是一个完整的热量和水的预算为耦合的海洋- 大气柱，包括温度和湿度曲线， 云及其辐射特性，非绝热加热项， 地表能量平衡成分和水文循环成分， 都是时间的函数。 的集成示例 模型的测试用例，并验证了对 意见。 这些诊断分析表明，这种类型 在TOGA-COARE中，模型的有效性可用于以下应用， 对多维模型结果的解释， 验证地面通量数据，并估计对 替代物理过程。 该提案描述了 模型开发、诊断建模、 以及与大气环流模式实验和观测的联系。 这项研究是重要的，因为它是TOGA-COARE之一。 研究海气相互作用的背景下， 影响气候变率的物理过程， 特别是世界上气候敏感的地区， 太平洋，TOGA-COARE的现场。