Use of Polarimetric Radar Measurements to Initialize Moisture Fields in Cloud/Mesoscale Numerical Weather Prediction Models: The Severe Hailstorm

使用偏振雷达测量初始化云/中尺度数值天气预报模型中的湿度场：强冰雹

• 批准号: 9311911
• 负责人: Jerry Straka
• 金额: $ 22.64万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-01-15 至 1997-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9311911&HistoricalAwards=false
• 关键词: Use; Polarimetric; Radar; Measurements; Initialize

9311911 Straka Research tasks that are crucial for advancements in short term weather forecasting are improvements in model initialization and assimilation of data. An important first step is to develop methods for determining cloud hydrometeor types within storms through remote sensing. The Principal Investigators will use a variety of information from advanced weather research radars to determine hydrometeor distribution within convective storms. Using this information, the Principal Investigators will make a first attempt to initialize moisture fields in a cloud/mesoscale numerical weather prediction model. Specific objectives include: (1) Refine and test an algorithm designed to deduce precipitating hydrometeor types and amounts from reflectivity, dual-wavelength, polarimetric and Doppler radar measurements; (2) Use precipitation information from radar measurements with combined velocity/thermodynamic/microphysical retrieval and dynamic initialization schemes to initialize cloud/mesoscale numerical prediction model; (3) Test the sensitivity of numerical model to initialization with observed and retrieved wind, thermodynamic, cloud and precipitation information; (4) examine popular theories on the formation and growth of hail using information from radar analyses. ***

小行星9311911 对于短期天气预报的进步至关重要的研究任务是改进模型初始化和数据同化。 重要的第一步是制定通过遥感确定风暴中云水凝物类型的方法。 主要研究人员将利用先进天气研究雷达提供的各种信息来确定对流风暴中的水凝物分布。 利用这些信息，首席研究员将首次尝试在云/中尺度数值天气预测模型中初始化湿度场。 具体目标包括：（1）改进和测试一种算法，该算法旨在从反射率、双波长、偏振和多普勒雷达测量中推断降水水凝物的类型和数量;（2）利用雷达测量的降水信息，结合速度/热力学/微物理反演和动力初始化方案，初始化云/中尺度数值预报模式;（3）利用观测和反演的风、热力、云和降水资料检验数值模式对初始化的敏感性;（4）利用雷达分析资料检验流行的冰雹形成和发展理论。 ***