气象科学2011，Vol.31Issue(6)：732-736,5.
Parsivel激光雨滴谱仪观测降水中异常数据的判别及处理
The detection and elimination of abnormal data for the precipitation observed by Parsivel precipitation particle spectrometer
摘要
Abstract
Observing continuously the precipitation of Tai Lake region by a laser optical precipitation particle spectrometer in 2009, we find that there are a few of abnormal data in the cumulonimbus precipitation data. According to working principle of the Parsivel precipitation particle spectrometer, the paper analyses and discusses the origins of abnormal data. Then, the 3a criterion is used to detect whether error exists in the cumulonimbus precipitation data and tried to eliminate. The result shows that the abnormal data resulted from the gross error of instrument measure, and the processed data is better compared to the output of the instrument in evaluating precipitation physical parameters, such as rainfall, radar reflectivity factor. The same method is used in analyzing the stratiform precipitation, which is in favor of decreasing the measure error resulting from raindrop superposition.关键词
雨滴谱/降雨量/异常数据/3σ准则Key words
Raindrop size distribution/ Rainfall/ Abnormal data/ 3σ criterion分类
天文与地球科学引用本文复制引用
王可法,张卉慧,张伟,王佳,濮江平..Parsivel激光雨滴谱仪观测降水中异常数据的判别及处理[J].气象科学,2011,31(6):732-736,5.基金项目
国家重点基础研究发展计划(973计划)项目(201 CB950804) （973计划）
解放军理工大学预研基金重点项目(20110403) （20110403）
