Effect of Model Resolution on Extended Range Prediction

模型分辨率对扩展范围预测的影响

• 批准号: 9001747
• 负责人: Tsing-Chang Chen
• 金额: $ 5万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-09-01 至 1993-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9001747&HistoricalAwards=false
• 关键词: Effect; Model; Resolution; Extended; Range

The quality of forecasts made with numerical prediction models degrades during the numerical integration due to systematic errors, that is, errors that are related to the model's formulation. Preliminary studies done with the Community Climate Model (CCM) of the National Center for Atmospheric Research (NCAR) indicate that horizontal resolution may be a critical factor in the evolution and structure of planetary scale waves which are simulated by the CCM. The goal of this research project is to determine the role of model resolution in systematic error. It will be accomplished through simulations of five winter periods and several forecast experiments. The results will have important implications for improving both extended range weather forecasts (up to 30 days) and climate models. This project represents a collaboration between Dr. T.-C. Chen, the principal investigator, and Dr. Joseph Tribbia, an NCAR scientist.

数值预报的质量 模型在数值积分过程中退化， 系统误差，也就是与 模型的公式化。 与共同体进行的初步研究 国家大气中心气候模式（CCM） 研究（NCAR）表明，水平分辨率可能是一个 行星尺度演化和结构的关键因素 由CCM模拟的波浪。 本研究的目的 项目的目的是确定模型解析在 系统误差 它将通过模拟来实现 五个冬季和几个预测实验。 的 结果将对改善这两个方面产生重要影响。 长期天气预报（最多30天）和气候 模型 该项目代表了T博士之间的合作。C. 陈，首席研究员，约瑟夫特里比亚博士，一个NCAR 科学家