CHILL、NEXRAD雷达测瞬时暴雨数据的质量评估

Quality evaluation of CHILL,NEXRAD radar-based transient rainstorm data

雷达可以获取较高时空分辨率的瞬时降水信息,这对河流流量、洪水预报等至关重要。但由于雷达测雨本身的复杂性,使得测雨结果仍存在误差。本文针对美国丹佛机场附近范围内2008年8月9日的一场降雨,对CHILL及NEXRAD雷达获取的降雨数据,利用METv3.0软件,采用1 km×1 km网格及UW-MEAN插值方法,对测雨数据质量进行评估。结果表明:利用METv3.0软件可以进行雷达测雨数据质量评估,能得到测雨可靠的统计分析结果,CHILL雷达的RZK反演模式中研究区的测雨效果最好,降雨强度高估或低估的趋势减弱。所给出的结果对雷达测雨效果的进一步研究`及METv3.0在雷达测雨数据分析中的应用研究有重要参考价值。

Radar-based estimates of rainfall can capture the high spatial variability of the precipitati- on systems, and it is important for runoff and flood forecast etc. Because of the radarg complexity, radar- based rainfall has errors. This study focuses on evaluating accuracy of the radar-based rainfall data, usingMETv3.0 software with 1 km x 1 km and UW-MEAN space interpolation method. The database includes the CHILL,NEXRAD radar data and ground rain-gauge network data for rain process during Aug. 9, 2008. The result indicates that the METv3.0 software can be used to evaluate the quality of radar-based rainfall data, RZK inversion mode of CHILL radar has the best result and the underestimation and overesti- mation of the rainfall rate become small by RZK inversion mode. It is important for the further study on the quality of radar-based rainfall data and application of METv3.0 in the analysis of radar-based rainfall data.