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Cross-evaluation of reflectivity from the space-borne precipitation radar and multi-type ground-based weather radar network in China

机译:中国星载降水雷达和多种地面气​​象雷达网络反射率的交叉评估

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摘要

China operational weather radar network consists of more than 200 ground-based radars (GR(s)). The lack of unified calibrators often result in poor mosaic products as well as its limitation in radar data assimilation in numerical models. In this study, radar reflectivity and precipitation vertical structures observed from space borne TRMM (Tropical Rainfall Measurement Mission) PR (precipitation radar) and GRs are volumetrically matched and cross-evaluated. It is found that observation of GRs is basically consistent with that of PR. For their overlapping scanning regions, the GRs are often affected by the beam blockage for complex terrain. The statistics show the better agreement among S band A type (SA) radars, S band B type (SB) radars and PR, as well as poor performance of S band C type (SC) radars. The reflectivity offsets between GRs and PR depend on the reflectivity magnitudes: They are positive for weak precipitation and negative for middle and heavy precipitation, respectively. Although the GRs are quite consistent with PR for large sample, an individual GR has its own fluctuated biases monthly. When the sample number is small, the bias statistics may be determined by a single bad GR in a group. Results from this study shed lights that the space-borne precipitation radars could be used to quantitatively calibrate systematic bias existing in different GRs in order to improve the consistency of ground based weather radar network across China, and also bears the promise to provide a robust reference even form a space and ground constellation network for the dual-frequency precipitation radars onboard the satellites anticipated in the near future.
机译:中国的气象雷达业务网络由200多个地面雷达(GR)组成。缺乏统一的校准器通常会导致马赛克产品质量不佳,以及在数值模型中雷达数据同化方面的局限性。在这项研究中,从空间传播的TRMM(热带雨量测量任务)PR(降水雷达)和GRs观测到的雷达反射率和垂直降水结构在体积上进行了匹配和交叉评估。发现对GR的观察与PR的观察基本一致。对于它们的重叠扫描区域,GR通常受复杂地形的光束阻塞影响。统计数据表明,S波段A型(SA)雷达,S波段B型(SB)雷达和PR之间具有更好的一致性,并且S波段C型(SC)雷达的性能较差。 GRs和PR之间的反射率偏移量取决于反射率的大小:分别对于弱降水是正的,而对于中等降水和强降水是负的。尽管GR与大样本的PR相当一致,但单个GR每月都有自己的波动偏差。当样本数量较小时,偏差统计可以由组中的单个不良GR来确定。这项研究的结果表明,星载降水雷达可用于定量校准不同遗传资源中存在的系统偏差,以提高中国地面气象雷达网络的一致性,并有望提供可靠的参考。甚至为不久的将来预期的卫星上的双频降水雷达形成一个空间和地面星座网络。

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  • 来源
    《Atmospheric research》 |2017年第11期|200-210|共11页
  • 作者单位

    Chinese Acad Meteorol & Sci, Beijing, Peoples R China;

    Hebei Meteorol Bur, Publ Weather Serv Ctr, Tianjin, Peoples R China;

    Univ Oklahoma, Cooperat Inst Mesoscale Meteorol Studies, Norman, OK 73019 USA;

    China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing, Peoples R China;

    Hangzhou Meteorol Bur, Hangzhou, Zhejiang, Peoples R China;

    China Meteorol Adm, Meteorol Observat Ctr, Beijing, Peoples R China;

    China Meteorol Adm, Meteorol Observat Ctr, Beijing, Peoples R China;

    Tsinghua Univ, State Key Lab Hydro Sci & Engn, Beijing, Peoples R China|Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA;

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