An Iteratively Coupled Modeling Approach to Investigating the 'Equable Climate Problem'

研究“公平气候问题”的迭代耦合建模方法

• 批准号: 9810799
• 负责人: Lisa Sloan
• 金额: $ 10.26万
• 依托单位: University of California-Santa Cruz
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-10-01 至 2002-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9810799&HistoricalAwards=false
• 关键词: Iteratively; Coupled; Modeling; Approach; Investigating

Abstract ATM-9810799 Sloan, Lisa C. University of California, Santa Cruz Title: An Iteratively Coupled Modeling Approach to Investigating the "Equable Climate Problem" Equable climates appear to have been common throughout Earth history and yet are without well established cause. This award supports a study designed to explore ocean-atmosphere links in warm climates states, and to bridge the gap between stand-alone and interactively coupled models. Stand-alone atmospheric and ocean models will be coupled iteratively in a study which investigates causes of equable climates. Model results will be tested with proxy marine and terrestrial paleoclimate data, to evaluate the modeling approach. A hierarchy of three dimensional dynamical models of the ocean-atmosphere system will be useed to explore changes in oceanic meridional heat transport and the general circulation, as functions of atmospheric pCO2 and meridional sea surface temperature (SST) gradients. This study will provide explicit, quantitative mechanisms of ocean-atmosphere poleward heat transport, as well as more completely define the dynamics of warm climate intervals. In addition, the iterative modeling procedure will help to determine how best to approach climate modeling for times significantly different from present day.

摘要ATM-9810799斯隆，丽莎C。 加州大学，圣克鲁斯题目：一种迭代耦合的模拟方法来调查“均衡的气候问题” 在整个地球历史上，气候似乎都很平常，但却没有确定的原因。 该奖项支持一项旨在探索温暖气候状态下海洋-大气联系的研究，并弥合独立模式和交互耦合模式之间的差距。 独立的大气和海洋模式将在一项研究中反复耦合，调查气候不稳定的原因。 模型结果将与代理海洋和陆地古气候数据进行测试，以评估建模方法。 海洋-大气系统的三维动力学模型的层次将用于探讨海洋纬向热输送和大气环流的变化，作为大气二氧化碳分压和纬向海表面温度梯度的函数。 这项研究将提供海洋-大气向极地热输送的明确的定量机制，并更完整地定义温暖气候间隔的动态。 此外，迭代模拟程序将有助于确定如何最好地接近气候模拟的时间显着不同于今天。