多普勒天气雷达反演风场综述

A review of the techniques of Doppler radar wind field retrieval

  • 摘要: 多普勒天气雷达能够提供高时、空分辨率的降水粒子空间信息和径向运动资料。反射率因子和双偏振量等降水粒子空间信息相对比较直观,但是由于雷达探测的大气运动场只有径向分量,并不直接反映大气运动的全部特征,所以需要通过各种反演方法提取雷达探测资料中包含的大气运动信息,以应用于中、小尺度天气的诊断、分析和预报。中外多普勒天气雷达网建设已经比较成熟,但是业务中基于雷达径向速度的风场反演应用还较少。因此,将风场反演方法分为单雷达风场反演和双(或多)雷达风场反演两类,并分别进行了总结,并在附录中采用一致的数学符号给出了主要基本方法的推导和公式,以便让读者能够从基本原理出发了解这些方法的来龙去脉。基于单多普勒雷达的反演方法只要求单部雷达覆盖即可,应用方便、计算简单,但是通常是假定风场是均匀的或者是线性变化的,因此对于空间变化比较剧烈的风场,反演误差较大,同时因采用不同的风场分布特征假设也衍生出了各种扩展方法,一定程度上改善了单多普勒雷达反演风场的准确度和可用性。对于两部或多部多普勒雷达反演技术,重点介绍了其原理和特点。多部多普勒雷达反演方法能够得到更加精细和精确的风场三维结构信息,但是对于观测资料的时、空一致性要求较高。随着雷达组网密度的提高,多部多普勒雷达反演方法的研究和应用受到越来越多的重视,同时,将风场反演和资料同化技术结合也是重要的发展方向和趋势。

     

    Abstract: Doppler radar can provide information of precipitation particles and radial component of atmospheric motion with high spatial and temporal resolutions. The spatial information of precipitation particles, such as reflectivity and dual polarization parameters, are relatively intuitive for application. However, the Doppler radar can only detect radial component of atmospheric motion, which makes it difficult to directly reflect the whole characteristics of atmospheric motion. Thereby it is necessary to develop various retrieval methods for extracting atmospheric motion information, which is useful for the diagnosis, analysis and prediction of meso and microscale systems from radar observations. Doppler weather radar networks have been established in most of the countries in the world. However, wind fields obtained by radars have not been widely used. In this study, the methods for retrieving wind fields from a single Doppler radar or multiple radars are classified and summarized. Some basic derivation formulas are attached in appendix, which makes it convenient for researchers to explore the principles of these retrieval methods. For the single-Doppler radar wind field retrieval, the methods that are based on the spatial continuity assumption and only requires a single radar coverage with convenient application and simple calculation, are analyzed and summarized. However, the accuracy of the single-Doppler retrieval methods based on the assumption of uniform wind field is limited, and the error of such retrieval methods is large for meso and microscale systems. As for the linear variation wind assumption, the retrieval equations are difficult to be fully solved. Therefore, some other extended methods have been derived to improve the accuracy and applicability of the retrieval methods used for single Doppler radar. For the wind retrieval techniques that can be applied to two or more Doppler radars, the principles and characteristics of these methods are summarized. The multi-Doppler radar retrieval method can yield accurate information of three-dimensional wind field with high resolution, but the applicability of those methods depends on spatiotemporal synchronization of observations. With the development of radar network and phased array radar, the applicability of the multi-Doppler radar retrieval method has been improved and attracted more and more attention. Finally, the future direction of the development of Doppler radar wind field retrieval technique are discussed.

     

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