In-Situ Verification of Hydrometeor Algorithms for Polarimetric Radar

偏振雷达水凝物算法的现场验证

• 批准号: 9907812
• 负责人: Paul Smith
• 金额: $ 39.5万
• 依托单位: South Dakota School of Mines and Technology
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-12-15 至 2004-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9907812&HistoricalAwards=false
• 关键词: Situ; Verification; Hydrometeor; Algorithms; Polarimetric

The purpose of this project is to provide in situ verification of hydrometeor classification schemes developed for remote sensing via multiparameter radar. The emphasis will be on a classification scheme developed mainly from "fuzzy logic" analysis of model particle characteristics observable in polarimetric radar data, that operates in real time on the NCAR S-Pole radar. Aircraft equipped for microphysics and supporting observations will provide the in-situ data for verification of this (and other applicable) classifiers. Optical scattering and imaging probes on the aircraft provide data on the hydrometeors for comparison with the inferences from concurrent polarimetric radar data. Other data characterizing the environment are useful in dealing with cloud physics questions such as the possibility of wet growth of graupel in a given region of supercooled cloud. Data to be collected during the Mesoscale Alpine Program (MAP) in 1999 and in the Severe Thunderstorm Electrification and Precipitation Study (STEPS) project in 2000, will provide the basis for validation of the radar hydrometeor classification scheme. The S-Pole radar will provide the polarimetric data in each case; for MAP the aircraft data will come from the NCAR Electra and the NOAA P-3, while the South Dakota School of Mines and Technology T-28 will provide the aircraft data in STEPS. The end result will be a more complete understanding of the capabilities and limitations of the hydrometeor classification scheme for a wide range of cloud and thunderstorm environments.

该项目的目的是通过多参数雷达对为遥感开发的水流星分类方案进行现场验证。重点将放在一种分类方案上，该方案主要是通过对极化雷达数据中可观察到的模型粒子特征的“模糊逻辑”分析而开发的，该方案在美国国家航空航天局S极雷达上实时运行。装备了微物理和辅助观测设备的飞机将提供现场数据，以验证该(和其他适用的)分类器。飞机上的光学散射和成像探测器提供了关于水流星的数据，以便与同时的偏振雷达数据进行比较。其他描述环境的数据在处理云物理问题时也很有用，比如在给定的过冷云区域中，小行星湿润生长的可能性。1999年中尺度高山计划(MAP)和2000年严重雷暴电化和降水研究(STEPS)项目期间收集的数据将为验证雷达水流星分类方案提供依据。S极地雷达将提供每种情况下的极化数据；对于MAP，飞机数据将来自NCAR Electra和NOAA P-3，而南达科他州矿产与技术学院T-28将分步提供飞机数据。最终结果将是更全面地了解水流星分类方案在广泛的云和雷暴环境中的能力和局限性。