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Rain Attenuation of Radar Echoes Considering Finite-Range Resolution and Using Drop Size Distributions

机译:考虑有限范围分辨率并使用液滴尺寸分布的雷达回波的雨衰减

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摘要

The classical rain attenuation correction scheme of Hitschfeld and Bordan (HIBO) and the newer iterative approach by Hildebrand (HL) are reconsidered. Although the motivation for the HL algorithm was an extension into ranges, where HIBO tends to be unstable, it is shown here that the contrary is the case. The finite-range resolution causes an intrinsic instability of HL already at moderate attenuation, where HIBO would still deliver stable results. Therefore, the authors concentrate the further analysis on HIBO, and confirm that the usual implementation of HIBO does not account correctly for finite-range resolution. They suggest a modified scheme that produces exact retrievals in the ideal case of perfect measurements.rnFor vertically pointing Doppler radars a new element is explored in the attenuation correction-namely, calculating rain attenuation κ and rainfall R from Doppler spectra via the raindrop size distributions (RSDs). Although this spectral scheme (SIBO) avoids the uncertainty of Z-R and Z-κ relations, the superiority of this approach is not a priori obvious because of its sensitivity to vertical wind. Therefore, radar rain rates, based on a Z-R relation and on RSDs, respectively, are compared with in situ measurements. The results indicate better agreement for RSD-based retrievals. Because κ is closely correlated with R, the authors assert the advantage of RSD-based retrievals of κ.rnThe application of HIBO and SIBO to real data shows that the uncertainty of standard Z-R relations is the main source of deviation between the two versions. In addition, the comparison of profiles suggests that the parameters of Z-R relations aloft can deviate considerably from near-surface values. Although artifacts cannot be excluded with certainty, there is some evidence that this observation actually reflects microphysical processes.
机译:重新考虑了Hitschfeld and Bordan(HIBO)的经典雨衰校正方案和Hildebrand(HL)的较新迭代方法。尽管HL算法的动机是将范围扩展到HIBO趋于不稳定的范围,但此处表明情况恰恰相反。有限范围的分辨率会导致HL在中等衰减时固有的不稳定性,而HIBO仍会提供稳定的结果。因此,作者将进一步的分析集中在HIBO上,并确认HIBO的通常实现方式不能正确解释有限范围的分辨率。他们提出了一种改进的方案,可以在理想测量的理想情况下产生精确的检索结果。对于垂直指向的多普勒雷达,在衰减校正中探索了一个新元素-即通过雨滴大小分布从多普勒频谱计算出降雨衰减κ和降雨R( RSD)。尽管此频谱方案(SIBO)避免了Z-R和Z-κ关系的不确定性,但是由于其对垂直风的敏感性,这种方法的优越性并不是先验的。因此,分别将基于Z-R关系和RSD的雷达降雨率与现场测量结果进行比较。结果表明,基于RSD的检索具有更好的一致性。由于κ与R密切相关,因此作者断言了基于RSD的κ检索的优势。HIBO和SIBO在实际数据中的应用表明,标准Z-R关系的不确定性是两个版本之间偏差的主要来源。另外,轮廓的比较表明,Z-R关系的参数可以高出近地表值。尽管无法确定地排除伪影,但有一些证据表明,这种观察实际上反映了微物理过程。

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  • 来源
    《Journal of atmospheric and oceanic technology》 |2010年第5期|p.829-842|共14页
  • 作者单位

    Meteorological Institute, University Hamburg, Bundesstrasse 55, D 20146 Hamburg, Germany;

    rnMeteorological Institute, University Hamburg, Hamburg, Germany;

    rnMeteorological Institute, University Hamburg, Hamburg, Germany;

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