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CINRAD-SA双偏振雷达资料在降水估测中的应用初探
陈超1, 胡志群2, 胡胜1, 伍志方1, 李珊珊1, 张永华3
(1.广东省气象台;2.中国气象科学研究院灾害天气国家重点实验室;3.广东省数据探测中心)
Preliminary Application of CINRAD-SA Dual Polarization Radar Data in Rainfall Estimation
Chen Chao1, Hu Zhiqun2, Hu Sheng1, Wu Zhifang1, Li Shanshan1, Zhang Yonghua3
(1.Guangdong Meteorological Observatory;2.State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences;3.Guangdong Meteorological Observation Data Center)
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投稿时间:2017-10-12    修订日期:2018-09-04
中文摘要: 对基于水平反射率Z_H和差分传播相移率K_DP的降水估测综合法R(C)法进行了改进,并对广州S波段双偏振雷达2016年2次飑线和2次台风降水过程的Φ_DP使用小波分析进行滤波处理,在此基础上使用变距离最小二乘法拟合得到K_DP的值。分别使用R(C)和R(Z_H)法对2次飑线和2次台风降水过程进行降水估算,将估算结果和雨量计小时雨量进行了对比,并将两种方法的评估结果进行了对比。结果表明:(1)对于飑线类型降水,R(C)法对5mm/h以上的降水估测精度要好于R(Z_H)法,且降水率越大,R(C)优势越明显,当降水率≥20mm/h时,两次过程R(C)法比R(Z_H)法的平均RE 降低了17.6%,平均AE减少了1.89mm,平均RMSE减少了1.66mm;(2)对于台风类型降水,R(C)法对5mm/h以上的降水估测精度也好于R(Z_H)法,当降水率≥20mm/h时,两次过程R(C)法比R(Z_H)法的平均RE 降低了33.1%,平均AE减少了3.95 mm,平均RMSE减少了4.05 mm;(3)对于飑线和台风两种类型降水R(C)法都明显改善了降水率较大时的R(Z_H)法低估问题,但R(C)法在降水率大于10mm/h时也存在低估,可能是由于雨滴谱资料观测误差导致拟合的系数偏小或雷达硬件造成的观测偏差等原因造成的。
Abstract:In this paper, the method of QPE based on Z_H and K_DP (R(C) method) is improved, and Φ_DP of Guangzhou S-band dual polarization radar during two squall lines and two typhoons in 2016 is filtered by wavelet analysis, and then K_DP is estimated by Φ_DP in 1.5~4.5 km resolution. The rainfall of the squall lines and typhoons is estimated by R(C) and R(Z_H) method, and the estimated result is compared with the hourly rainfall gauge, also the evaluating results of R(C) and R(Z_H) method are compared to each other. The results show that, for squall lines, R(C) is better than R(Z_H) when the rainfall rate is higher than 5mm/h, and the higher the rainfall rate is, the more obvious the advantage of R(C) will be. When the rainfall rate is higher than 20mm/h, the average RE decreased 17.6%, the average AE decreased by 1.89mm, the average RMSE decreased by 1.66mm; For typhoons, R(C) is better than R(Z_H) when the rainfall rate is higher than 5mm/h, and when the rainfall rate is higher than 20mm/h, the average RE of R(C) is 33.1% lower than that of R(Z_H), the average AE reduced by 3.95mm, and the average RMSE reduced by 4.05mm . In general, R(C) could solve the underestimate problem existed in R(Z_H),however, R(C) could also underestimate the precipitation when the rainfall rate is higher than 10mm/h. The possible reason is the small value of the coefficient fitted by the raindrop spectrum data because of the observation error or the observation error caused by the radar.
文章编号:201710120454     中图分类号:    文献标志码:
基金项目:国家科技支撑计划课题 (2015BAK11B01);中国气象局预报员专项 (CMAYBY2015-053);国家自然科学基金(41375038);行业专项(GYHY201506006,GYHY201406009);2017-2019气象预报业务关键技术发展专项(YBGJXM(2017)02-05);广东省科技计划项目(2015A020217008,2013B020200012).
引用文本:
陈超,胡志群,胡胜,伍志方,李珊珊,张永华,0.[en_title][J].Meteor Mon,():-.
Chen Chao,Hu Zhiqun,Hu Sheng,Wu Zhifang,Li Shanshan,Zhang Yonghua,0.Preliminary Application of CINRAD-SA Dual Polarization Radar Data in Rainfall Estimation[J].Meteor Mon,():-.