A Non-Hydrostatic Semi-Implicit Semi-Lagrangian Global Circulation Model
A Non-Hydrostatic Semi-Implicit Semi-Lagrangian Global Circulation Model
批准号:
9119315
负责人:
Fredrick Semazzi
金额:
$22.78万
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
项目状态:
已结题
起止时间:
1992-05-01 至 1996-04-30
中文摘要
通过全球观测网络收集的数据在计算能力和分辨率方面的预期增长将使人们能够在全球大气环流模型中使用更高分辨率和更精确地表示物理过程。随着分辨率的提高,可能不再需要或不再合理地采用流体静力近似;实际上,对于许多目的,将需要流动的小尺度垂直加速度的显式表示。有限区域非静力模式的经验表明,增加的计算量远远超过模型网格点数量的增加。Semazzi博士和Scroggs博士将把一套最近开发的数值技术整合到一个概念验证全球模型中,这些技术提供了更高的计算效率和精度。他们将评估在全球预报模型中使用高分辨率非静力计算的可行性。他们还希望更多地了解非静力过程在全球大气环流中的作用。20世纪初的业务数值预报系统以及各种研究模式很可能与该项目开发的模式非常相似。开发高效、准确的计算方法至关重要。该项目的这一成果将使今后在计算和观测技术以及模型开发方面的进步成为可能。
英文摘要
Anticipated increases in computing power and in the resolution of data collected through the global observational networks will allow the use of higher resolution and more precise representation of physical processes in models of the global general circulation. With the greater resolution, it may no longer be necessary or reasonable to employ the hydrostatic approximation; indeed, for many purposes, explicit representation of small scale vertical accelerations of the flow will be required. Experience with limited-area nonhydrostatic models indicates that the added computational load goes well beyond the increase in the number of model grid points. Drs. Semazzi and Scroggs will incorporate a suite of recently developed numerical techniques, which provide greater computational efficiency and accuracy, into a proof-of-concept global model. They will assess the feasibility of using high-resolution nonhydrostatic computation in global forecast models. They also hope to learn more about the role of nonhydrostatic processes in the global atmospheric circulation. Operational numerical prediction systems of the early 20th century as well as various research models are likely to be quite similar to those developed under this project. The development of efficient, accurate computational methods is critical. This results of this project will make it possible to exploit advances in computing and observing technology and in model development in the future.
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依托单位:
海外基金