A New Joint Weather Research and Prediction (WRF) Model

新的联合天气研究和预测 (WRF) 模型

• 批准号: 9909007
• 负责人: Ming Xue
• 金额: $ 43.1万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-01-15 至 2003-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9909007&HistoricalAwards=false
• 关键词: New; Joint; Weather; Research; Prediction

This collaborative research effort will contribute to the development of a new Weather Research and Forecasting (WRF) Model that will advance the state of the art in mesoscale numerical weather prediction and provide a common modeling system for use in both research and operations. In addition to the support provided to the University of Oklahoma's Center for Analysis and Prediction of Storms under this award, the other collaborators include: the National Center for Atmospheric Research Mesoscale and Microscale Meteorology Division; the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction (NCEP); and the NOAA Forecast Systems Laboratory (FSL).The WRF Model is being designed to provide a high-resolution forecast system that will accurately predict significant weather over a broad range of scales, with particular emphasis on precipitation systems. It will contain advanced numerics for the model solver, and several new prototypes will be evaluated as candidate architectures. A parallel implementation for the model is being designed within a single source code that is flexible and efficient across a diverse spectrum of computer architectures. A new variational data assimilation system will be developed for WRF that will include observations at smaller scales, such as Doppler radar and mesonetwork data. In the area of model physics, the involvement of the broader research community will he actively solicited in developing and evaluating improved physics for high-resolution applications.Within the three year time frame a full physics, research quality WRF modeling system will be made available and supported for broad use as a community research model. Development will continue beyond this proposal period, with the expectation that the WRF Model will become a candidate for replacing the regional operational models in about five years. Through the joint development and use of WRF, this project has the potential to enhance significantly the interactions between research and operational scientists, and in particular, to streamline the transfer of research advances into operations.

这项合作研究工作将有助于开发一个新的天气研究和预报（WRF）模式，该模式将推动中尺度数值天气预报的最新发展，并提供一个共同的建模系统，供研究和业务使用。 除了根据该奖项向俄克拉荷马州大学风暴分析和预测中心提供支持外，其他合作者包括：国家大气研究中心中尺度和微尺度气象学部;国家海洋和大气管理局（NOAA）国家环境预测中心（NCEP）; WRF模式的设计目的是提供一个高分辨率的预报系统，准确预报各种尺度的重大天气，特别侧重于降水系统。 它将包含用于模型求解器的高级数值，并将评估几个新的原型作为候选架构。 该模型的并行实现正在设计中的一个单一的源代码，是灵活和高效的跨各种计算机体系结构。 将为WRF开发一个新的变分数据同化系统，其中将包括较小尺度的观测，如多普勒雷达和mesonetwork数据。 在模型物理学领域，将积极邀请更广泛的研究团体参与开发和评估用于高分辨率应用的改进物理学。在三年的时间内，将提供一个完整的物理学研究质量WRF建模系统，并支持其作为社区研究模型广泛使用。 在此建议期之后，开发工作将继续进行，预计WRF模型将在大约五年内成为取代区域业务模型的候选模型。 通过联合开发和使用WRF，该项目有可能大大加强研究科学家和业务科学家之间的互动，特别是简化将研究进展转化为业务的过程。