三维多普勒雷达径向速度的多网格分析:理想化案例研究

Wei Li, Yuanfu Xie
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引用次数: 1

摘要

本研究通过理想化实验,测试多网格三维变分(3D- var)对三维(3D)多普勒雷达径向速度数据同化的性能,以及三维多普勒雷达径向速度对常规(现场)风观测分析的改善程度。构建双尺度理想风场,基于该理想风场生成随机分布的常规风数据和三维多普勒雷达径向速度数据。通过同化这些数据,并将分析结果与真实理想环流场进行比较,评价了三维多普勒雷达径向速度分析中的多网格3D- var性能。讨论了弱约束和强约束对多网格3D-Var分析的影响。结果表明,三维多普勒雷达径向速度数据尤其在稀疏分布的常规观测情况下提供了额外的有用信息,具有强约束的多网格3D- var不仅可以更好地分析水平速度,而且可以更好地分析垂直速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-grid Analysis of the Three-Dimensional Doppler Radar Radial Velocity: Idealized Cases Study
Through idealized experiments, this study is to test the performance of multi-grid three-dimensional variantional (3D-Var) on three-dimensional (3D) Doppler radar radial velocity data assimilation, and to what degree the 3D Doppler radar radial velocity can improve the conventional (in situ) wind observation analysis. A two-scale idealized wind field is constructed, and then random-distributed conventional wind data and 3D Doppler radar radial velocity data are generated based on this idealized wind field. By assimilating these data and comparing the analyses with the true idealized circulation field, the multi-grid 3D-Var performance in 3D Doppler radar radial velocity analysis is evaluated. The effects of weak constraint and strong constraint on the multi-grid 3D-Var analyses are also presented. Results show that the 3D Doppler radar radial velocity data do provide additional useful information especially in the sparse distributed conventional observation situation, and the multi-grid 3D-Var with strong constraint can make better analyses on not only horizontal but also vertical velocity.
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