GPM DPR雷达联合地面S波段雷达反演雨滴谱
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摘要
针对GPM-CO DPR观测数据反演雨滴谱算法中存在的双值问题,提出通过匹配地面S波段天气雷达与GPM-CO DPR观测数据,为双值问题提供判断依据的方法。在建立反演查算方法的基础上,利用雷达仿真程序Quickbeam进行算法的理论验证,并使用观测数据进行实例验证。理论验证的结果表明,反演结果数据和输入数据的相关系数达到0.99以上;实例验证的结果显示,利用此反演算法得到的雨滴谱可以反映降水过程中雨滴粒径的分布情况,在一定程度上解决双值问题。
For solving the dual-value problem of RSD raindrop size distribution retrieval algorithm using GPMCO DPR data, a solution is put forward: combining the observation data of S-band weather radar and GPM-CO DPR to provide determinant for the dual-value problem. On the basis of completing the retrieval algorithm, the radar simulation program, Quickbeam, is utilized to validate the algorithm, and actual observation data is utilized to validate the algorithm as well. The results of theoretical validation show that the correlation coefficients between retrieved data and input data are over 0.99, and the results of validation with actual observation data show that the retrieved RSD can reflect the raindrop distribution situation of the rainfall process. The algorithm can help to solve the dual-value problem to o certain degree.
For solving the dual-value problem of RSD raindrop size distribution retrieval algorithm using GPMCO DPR data, a solution is put forward: combining the observation data of S-band weather radar and GPM-CO DPR to provide determinant for the dual-value problem. On the basis of completing the retrieval algorithm, the radar simulation program, Quickbeam, is utilized to validate the algorithm, and actual observation data is utilized to validate the algorithm as well. The results of theoretical validation show that the correlation coefficients between retrieved data and input data are over 0.99, and the results of validation with actual observation data show that the retrieved RSD can reflect the raindrop distribution situation of the rainfall process. The algorithm can help to solve the dual-value problem to o certain degree.
引文
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[2]Iguchi T,Seto S,Meneghini R,et al.GPM/DPR level-2 algorithm theoretical basis document[EB/OL].(2017?08?01)[2018?03?21].http://www.eorc.jaxa.jp/GPM/doc/algorithm/ATBD_DPR_201708_whole_1.pdf
[3]Chandrasekar V,Mubarak K,Lim S.Estimation of raindrop size distribution from TRMM precipitation radar observations//Proc IEEE IGARSS.Toulouse,2003:1712?1714
[4]Bringi V N,Tang T,Chandrasekar V.Evaluation of a new polarimetrically based Z?R relation.J Atmos Ocean Technol,2004,21(4):612?623
[5]Khajonrat D,Chandrasekar V.Simulation of spaceborne radar observations of precipitation:application to GPM-DPR//Rroc IEEE IGARSS.Boston,MA,2008:IV-455?IV-458
[6]Ulbrich C W.Natural variation in the analytical form of the raindrop-size distribution.J Clim Appl Meteorol,1983,22(10):1764?1775
[7]Bringi V N,Chandrasekar V.Polarimetric doppler weather radar-principles and applications.Cambridge:Cambridge Univ Press,2001
[8]张霭琛.现代气象观测.北京:北京大学出版社,2000:352?357
[9]Segelstein D J.The complex refractive index of water[D].Kansas City:University of Missouri,1981:116?146
[10]M?tzler C.MATLAB functions for mie scattering and absorption[EB/OL].(2002?06?08)[2018?03?21].https://omlc.org/software/mie/maetzlermie/Maetz ler2002.pdf
[11]Haynes J M,Marchand R T,LUO Z,et al.A multipurpose radar simulation package:QuickBeam.Bulletin of the American Meteorological Society,2007,88(11):1723?1727
[12]Schwaller M R,Morris K R.A ground validation network for the global precipitation measurement Mission.Journal of Atmospheric and Oceanic Technology,2011,28(3):301?319
[13]何雪松,王瑞田,濮江平.Parsivel雨滴谱仪数据处理方法及其应用//第五届苏皖两省大气探测、环境遥感与电子技术学术研讨会专辑.北京:中国学术期刊电子出版社,2009:214?216