Advanced Hydrometeor Identification of Severe Storms During STEPS

STEPS项目（强雷暴电气化和降水研究）计划于2000年初夏在堪萨斯州西部进行，包括一个由三个10厘米波长多普勒雷达组成的网络：CHILL、S-Pol和堪萨斯州的Goodland、WSR-88D。前两个也配备了偏振测量。极化数据可以估计雷暴中的水流星类型（雪、冰雹、雨），多普勒数据可以分析得出气流。该项目通过为STEPS研究人员提供风矢量和极化参数的网格数据集，为STEPS做出了贡献。首席研究员将与同事j·c·哈伯特和l·j·米勒一起，利用多普勒观测到的气流来计算经过风暴的降水颗粒的增长情况。结果将与雷达和飞机观测结果进行比较，以获得雷暴运动学与降水之间关系的一致图像。该工作还有助于极化雷达数据解释的验证。

The STEPS project (Severe Thunderstorm Electrification and Precipitation Study), planned for the early summer of 2000 in western Kansas, includes a network of three 10-cm wavelength Doppler radars: CHILL, S-Pol, and the Goodland, Kansas, WSR-88D. The first two are also equipped for polarimetric measurements. The polarimetric data enable estimation of hydrometeor types (snow, hail, rain) within thunderstorms and the Doppler data may be analyzed to give the airflow. This project contributes to STEPS by providing gridded data sets of wind vectors and polarization parameters for STEPS investigators. With colleagues J.C. Hubbert and L.J. Miller, the Principal Investigator will use the Doppler-observed airflow to calculate the growth of precipitation particles as they are swept through the storm. Results will be compared with radar and aircraft observations to achieve a consistent picture of the relation between thunderstorm kinematics and precipitation. The work also contributes to the validation of polarimetric radar data interpretation.