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首页> 外文期刊>Journal of Hydroinformatics >Rainfall observations and assessment using vertically pointing radar and X-band radar
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Rainfall observations and assessment using vertically pointing radar and X-band radar

机译:使用垂直指向雷达和X波段雷达进行降雨观测和评估

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摘要

Two years of K-Band micro rain radar-2 (MRR) data are used to investigate the vertical variability of rain in an atmospheric column and assess MRR rainfall estimates accuracy from both direct rainfall measurement using the Mie Theory (i.e., MRR RR) and a Z-R relationship (Z = 300 R-1.4) (i.e., MRR Rz). Two different height resolutions (HR) settings are used. A nearby Doppler weather radar KEWX (S-band) using the same Z-R relationship is found to underestimate rainfall by up to 32.2%, while MRR estimates are much closer to collocated gauge measurements. For the first three gates, MRR RR underestimates rainfall by 5.7%-60.1% for the HR of 35 meters and by 31.2%-47.9% for the 100 meter resolution, while MRR RR overestimates rainfall for higher gates at the 100 m resolution, and MRR Rz underestimates rainfall at all gates due to errors of the Z-R relationship (Z = aR(b)). Gates higher than 2,000 m are affected by bright band and mixed phase rainfall. Examination of the rainfall statistics suggests that the 100 m HR produces better rainfall estimates, and that the gate centered at 300 m has better performance than the gate centered at 70 m.
机译:两年的K波段微雨雷达2(MRR)数据用于研究大气柱中降雨的垂直变化,并使用Mie理论(即MRR RR)和直接雨量测量来评估MRR降雨估算的准确性。 ZR关系(Z = 300 R-1.4)(即MRR Rz)。使用了两种不同的高度分辨率(HR)设置。发现附近的具有相同Z-R关系的多普勒天气雷达KEWX(S波段)低估了降雨量高达32.2%,而MRR估算值更接近于并置的轨距测量值。对于前三个闸门,MRR RR低估35米HR的降水量5.7%-60.1%,而对于100米分辨率则低估31.2%-47.9%,而MRR RR高估100 m分辨率的高闸机的降雨,并且由于ZR关系的误差(Z = aR(b)),MRR Rz低估了所有闸口的降雨量。 2,000 m以上的闸门会受到亮带和混合相降雨的影响。对降雨统计数据的检验表明,100 m HR可以产生更好的降雨估计,并且以300 m为中心的闸门比以70 m为中心的闸门具有更好的性能。

著录项

  • 来源
    《Journal of Hydroinformatics》 |2017年第4期|538-557|共20页
  • 作者单位

    Univ Texas San Antonio, Dept Geol Sci, One UTSA Circle, San Antonio, TX 78249 USA;

    Univ Texas San Antonio, Dept Civil Engn, One UTSA Circle, San Antonio, TX 78249 USA;

    Univ Texas San Antonio, Dept Geol Sci, One UTSA Circle, San Antonio, TX 78249 USA;

    Cankiri Karatekin Univ, Dept Civil Engn, Cankiri, Turkey;

    NOAA, Natl Weather Serv, Austin San Antonio Forecast Off, 2090 Airport Rd, New Braunfels, TX 78130 USA;

    Univ Louisiana Lafayette, Dept Civil Engn, Madison 254M, Lafayette, LA 70504 USA;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    gauge; MRR; NEXRAD; rainfall; reflectivity; variability;

    机译:仪表;MRR;NEXRAD;降雨;反射率;变异性;

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