Numerical Modeling of Mesoscale Airflow Over Mountains

山区中尺度气流的数值模拟

• 批准号: 8914852
• 负责人: Dale Durran
• 金额: $ 29.73万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-12-01 至 1993-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8914852&HistoricalAwards=false
• 关键词: Numerical; Modeling; Mesoscale; Airflow; Over

Accurate weather forecasting in the vicinity of major mountain ranges is an extremely difficult meteorological problem. Interactions between large-scale weather systems and mountainous regions often spawn complex mesoscale weather patterns. Efforts to forecast the development of these weather patterns are limited by deficiencies in understanding of the physical processes governing mesoscale circulations in complex terrain. Additionally, mesoscale orographic effects also influence the global circulation through the action of "gravity wave drag". Errors in the parameterization of gravity-wave drag in global- scale models are believed to be a major source of error in extended range forecasts. Under previous support from the National Science Foundation, the Principal Investigator has studied airflow over mountains with the immediate goal of extending understanding of the dynamics of orographically generated mesoscale disturbances and the interaction between these disturbances and the large synoptic-scale flow. He proposes to use a combination of theory, numerical models and observations to continue this line of research. The ultimate goal is to increase fundamental understanding leading to improved weather forecasts and climate models by developing a more accurate parameterization of gravity- wave drag.//

在主要山脉附近进行准确的天气预报是一个极其困难的气象问题。大尺度天气系统和山区之间的相互作用常常产生复杂的中尺度天气模式。由于缺乏对复杂地形中尺度环流的物理过程的理解，预测这些天气模式发展的努力受到限制。此外，中尺度地形效应也通过“重力波阻力”的作用影响全球环流。在全球尺度模式中，重力波阻力参数化的误差被认为是扩展范围预报误差的主要来源。在美国国家科学基金会之前的支持下，首席研究员研究了山脉上空的气流，其直接目标是扩大对地形产生的中尺度扰动动力学的理解，以及这些扰动与大天气尺度气流之间的相互作用。他建议将理论、数值模型和观测相结合来继续这方面的研究。//最终目标是通过发展更精确的重力波阻力参数化来增加基本认识，从而改进天气预报和气候模型