Collaborative Research: Atmospheric Data Assimilation Techniques for Antarctic Applications

合作研究：南极应用的大气数据同化技术

• 批准号: 0839068
• 负责人: Ying-Hwa Kuo
• 金额: $ 48.14万
• 依托单位: University Corporation For Atmospheric Res
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0839068&HistoricalAwards=false
• 关键词: Collaborative; Research; Atmospheric; Data; Assimilation

Abstract"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)."The paucity of conventional meteorological observations over the Antarctic continent represents a major challenge to both weather forecasts and climate analysis. This puts a premium on the productive use of satellite data, including non-traditional approaches such as is exemplified by the GPS radio occultation (RO) soundings, currently available from the joint Taiwan/US COSMIC/FormoSat-3 mission. This polar orbiting constellation of 6 low earth orbiting platforms (LEOs) uses RO limb sounding of the atmospheric refraction of the global positioning satellite network signals to yield, amongst other things, atmospheric soundings of temperature, pressure and moisture content of the atmosphere at high spatial and temporal resolution. Given the virtual total lack of radiosonde data over the Southern Ocean and the Antarctic continent, methods to most productively utilize this powerful observing system are of interest to researchers and observational groups alike. Investigators from NCAR and the Ohio State University propose to develop effective and efficient data assimilation approaches to incorporating COSMIC RO soundings into Antarctic weather prediction and other atmospheric (e.g. climate and atmosphere system variables) data records. Existing 3 or 4 dimensional variational (3/4D-Var) and ensemble based (i.e. probabalistic) data assimilation schemes will be used in conjunction with the Weather Research and Forecast (WRF) model in order to specify which data assimilation scheme is best suited to weather analysis, and reanalysis, in the Antarctic and Southern Ocean atmospheric environments.

摘要“该奖项是根据2009年的《美国复苏与重新投资法》（公法111-5）资助的。”对南极大陆上传统的气象观察的匮乏是对天气预测和气候分析的重大挑战。这对卫星数据的生产使用额提供了溢价，包括非传统方法，例如GPS无线电掩盖（RO）声音，目前可从台湾/台湾联合/美国宇宙/formosat-3任务中获得。 这个6个低地轨道平台（LEO）的极性轨道星座（LEOS）使用了全球定位卫星网络信号的大气折射的RO肢体，以产生高空间和时间分辨率下的大气，压力和水分含量的大气声音。鉴于在南大洋和南极大陆上实际上缺乏无线电调查数据，因此，最有效地利用这种强大的观察系统的方法对研究人员和观察群都非常感兴趣。 NCAR和俄亥俄州立大学的研究人员提议开发有效，有效的数据同化方法，以将宇宙RO的声音纳入南极天气预测和其他大气（例如气候和大气系统变量）数据记录。现有的3或4维变量（3/4D-VAR）和集合（即概率）数据同化方案将与天气研究和预测（WRF）模型结合使用，以指定哪种数据同化方案最适合天气分析，以及在天气分析，以及在天气分析和南方海洋大气环境中进行重新分析。