摘要
基于S波段双线偏振雷达资料、雨量计资料及激光雨滴谱数据,在CSU-ICE算法的基础上建立了CSULPA算法。以华南地区一次季风暴雨过程为评估对象,对CSU-LPA算法与传统PPS(Precipitation Processing System)算法进行了效果对比,评估该算法在业务中的应用效果。结果表明,在绝对值相对误差指标上,CSU-LPA算法相对于PPS算法其估测误差减小了约16%;PPS算法在过程累计估测降水分布中存在几个区域的显著高估,且估测散点值分布离散,而CSU-LPA算法的估测结果与实况吻合度较高,估测散点值分布集中,说明新算法稳定性良好;单站小时累计估测降水中,CSU-LPA算法能有效抑制PPS算法的高估效应,尤其在累计雨量较大的时候体现得更为明显。
Based on S-band dual polarization radar data,rain gauge data,and laser raindrop spectrum data,this paper established CSU-LPA algorithm based on CSU-ICE algorithm.Taking a monsoon rainstorm process in South China as the evaluation object,the effects of CSU-LPA algorithm and traditional PPS(precision processing system)algorithm were compared to evaluate the application effect of the algorithm in business.The results show that CSU-LPA algorithm reduces the estimation error by about 16%compared with PPS algorithm.PPS algorithm has significant overestimation in several areas in the process cumulative estimation of precipitation distribution,and the estimated scatter value distribution is discrete.However,the estimation results of CSU-LPA algorithm are in good agreement with the actual situation,and the estimated scatter value distribution is concentrated,indicating that the new algorithm has good stability.The results of hourly cumulative precipitation estimation at a single station show that CSU-LPA algorithm can effectively suppress the overestimation effect of PPS algorithm,especially when the cumulative rainfall is large.
作者
曾广宇
郭泽勇
周钦强
张弘豪
陈星登
郭佳
Zeng Guangyu;Guo Zeyong;Zhou Qinqiang;Zhang Honghao;Chen Xingdeng;Guo Jia(Yangjiang Meteorological Bureau,Yangjiang Guangdong 529500,China;Guangdong Meteorological Observation Data Center,Guangzhou 510080,China;Beijing Minshida Radar Co.,Ltd.,Beijing 100085,China)
出处
《气象研究与应用》
2021年第4期95-100,共6页
Journal of Meteorological Research and Application
基金
广东省重点领域研发计划(2020B0101130021)
灾害天气国家重点实验室开放基金(2020LASW-B04)
广东省气象局重点项目(GRMC2018Z04)
海南省南海气象防灾减灾重点实验室重点项目(SCSF201904)。
关键词
雨滴谱
双偏振雷达
CSU-LPA算法
季风暴雨
定量降水估测
raindrop spectrum
dual polarization radar
CSU-LPA algorithm
monsoon rainstorm
quantitative precipitation estimation
