[1]曾广宇,郭泽勇,周钦强,等.基于激光雨滴谱的双偏振雷达定量降水估测算法应用评估[J].气象研究与应用,2021,42(04):95-100.[doi:10.19849/j.cnki.CN45-1356/P.2021.4.17]
　Zeng Guangyu,Guo Zeyong,Zhou Qinqiang,et al.Application evaluation of dual polarization radar quantitative precipitation estimation algorithm based on laser raindrop spectrum[J].Journal of Meteorological Research and Application,2021,42(04):95-100.[doi:10.19849/j.cnki.CN45-1356/P.2021.4.17]
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基于激光雨滴谱的双偏振雷达定量降水估测算法应用评估()
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气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第42卷
期数:
2021年04期
页码:
95-100
栏目:
新技术应用
出版日期:
2022-01-27

文章信息/Info

Title:
Application evaluation of dual polarization radar quantitative precipitation estimation algorithm based on laser raindrop spectrum
作者:
曾广宇1;  郭泽勇1;  周钦强2;  张弘豪1;  陈星登1;  郭佳3
1. 广东省阳江市气象局，广东 阳江 529500;
2. 广东省气象探测数据中心，广州 510080;
3. 北京敏视达雷达有限公司，北京 100085
Author(s):
Zeng Guangyu1;  Guo Zeyong1;  Zhou Qinqiang2;  Zhang Honghao1;  Chen Xingdeng1;  Guo Jia3
1. Yangjiang Meteorological Bureau, Yangjiang Guangdong 529500, China;
2. Guangdong Meteorological Observation Data Center, Guangzhou 510080, China;
3. Beijing Minshida Radar Co., Ltd., Beijing 100085, China
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
Keywords:
raindrop spectrum; dual polarization radar; CSU-LPA algorithm; monsoon rainstorm; quantitative precipitation estimation
分类号:
P412
DOI:
10.19849/j.cnki.CN45-1356/P.2021.4.17
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CSU-LPA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。
Abstract:
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.

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备注/Memo

备注/Memo:
收稿日期:2021-06-30。
基金项目: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）
作者简介:曾广宇（1983—），男，学士，工程师，主要从事天气雷达观测及应用。E-mail：zengguangyu@139.com
通讯作者:周钦强（1979—），男，硕士，高级工程师，主要从事综合气象观测与气象信息处理。E-mail：41409858@qq.com
更新日期/Last Update: 1900-01-01