CMG: Non-Hydrostatic Effects and New Diagnostics for the Long-Time Dynamics of Rotating and Stratified Flows

CMG：旋转和分层流长期动力学的非静水效应和新诊断

• 批准号: 0529596
• 负责人: Leslie Smith
• 金额: $ 44万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0529596&HistoricalAwards=false
• 关键词: CMG; Non; Hydrostatic; Effects; New

The dynamics of the oceans and the atmosphere are strongly influenced by the rotation of the earth and stratification. In the atmosphere, stratification results from solar heating coupled with earth's gravity, whereby colder, heavier air settles below warmer, lighter air. In the ocean, colder, saltier water lies below warmer, fresher water. The relative importance of both rotation and stratification depends on length and time scales. For example, the earth's rotation is critical to the dynamics of large-scale structures such as hurricanes, jet streams, and oceanic currents, but has a minor effect on smaller-scale motions such as cumulus clouds and waves generated by a ship.The wide range of spatial scales in geophysical flows, from thousands of kilometers to meters, is one reason why they are so rich in behavior, so costly to compute, and so difficult to understand. In certain scale regimes, intermediate-scale motions self-organize to generate larger-scale structures such as hurricanes, while in other regimes, energy is transferred from large-scale winds and tides to small-scale turbulent fluctuations. On large scales the flow becomes quasi-two-dimensional, with motions mainly parallel to the surface of the earth, whereas at small scales it is often fully turbulent in all three directions. Current mathematical models for studying the oceans and the atmosphere capture the large scales of the flow at the expense of removing small-scale dynamics. Even at the highest resolutions possible on today's computers, these models fail to accurately predict long-term variability. For example, in thousand-year ocean simulations, significant errors accumulate over time because of inadequate representation of small-scale processes such as deep-water mixing and dense-water overflows (e.g., from the Denmark Strait). Such errors indicate a significant obstacle for our ability to predict climate change, since breakdowns in the large-scale ocean circulation have previously occurred during relatively rapid changes in climate. Thus it is becoming increasingly clear that the intermediate-scale and small-scale motions play a significant role in long-time, large-scale dynamics.The goal of the proposed research is to probe the mechanisms for such multi-scale coupling in rotating and stratified flows. Mathematical models and a new statistical framework will be developed and tested with computer simulations on some of the largest available computers in the world at Los Alamos National Laboratory. Our combined theoretical and numerical approach provides a unique opportunity for the training of young scientists toward development of the next generation of ocean, atmosphere, and climate models.

海洋和大气的动态受到地球自转和分层的强烈影响。 在大气层中，分层是由太阳加热和地球引力共同作用的结果，较冷、较重的空气沉降在较热、较轻的空气下面。 在海洋中，更冷、更咸的水位于更暖、更新鲜的水下面。 旋转和分层的相对重要性取决于长度和时间尺度。 例如，地球的自转对飓风、急流和洋流等大尺度结构的动力学至关重要，但对积云和船舶产生的波浪等小尺度运动的影响较小。地球物理流动的空间尺度范围很广，从数千公里到几米，这是它们如此丰富，计算成本如此高昂的原因之一，很难理解 在某些尺度区域，中等尺度的运动会自我组织，产生飓风等较大尺度的结构，而在其他区域，能量会从大尺度的风和潮汐转移到小尺度的湍流波动。 在大尺度上，流动变成准二维的，运动主要平行于地球表面，而在小尺度上，它往往是完全湍流在所有三个方向。 目前用于研究海洋和大气的数学模型捕捉了大尺度的流动，而忽略了小尺度的动力学。 即使在当今计算机上的最高分辨率下，这些模型也无法准确预测长期变化。 例如，在千年海洋模拟中，由于对深水混合和稠密水溢出等小尺度过程的代表性不足，随着时间的推移会积累显著的误差（例如，从丹麦海峡）。 这种误差表明，我们预测气候变化的能力面临重大障碍，因为大规模海洋环流的崩溃以前曾发生在气候变化相对较快的时期。 因此，中尺度和小尺度运动在长时间、大尺度动力学中的重要作用越来越明显，本文的研究目标是探索旋转流和分层流中这种多尺度耦合的机制。 将在洛斯阿拉莫斯国家实验室的世界上最大的计算机上开发和测试数学模型和新的统计框架。 我们的理论和数值相结合的方法提供了一个独特的机会，培养年轻的科学家对下一代海洋，大气和气候模型的发展。