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Retrieval of three-dimensional wind fields from Doppler radar data using an efficient two-step approach

机译:使用有效的两步法从多普勒雷达数据中检索三维风场

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摘要

In this work, we describe an efficient approach for wind retrievalfrom dual Doppler radar data. The approach produces a gridded fieldthat not only satisfies the observations, but also satisfies the anelasticmass continuity equation.The method is based on the so-called three-dimensionalvariational approach to the retrieval of wind fieldsfrom radar data. The novelty consists in separating the task intosteps that reduce the amount of data processed by the global minimizationalgorithm, while keeping the most relevant information from the radarobservations. The method is flexible enough to incorporateobservations from several radars, accommodate complex samplinggeometries, and readily include dropsonde or sounding observationsin the analysis.We demonstrate the usefulness of our method by analyzing a real casewith data collected during the TPARC/TCS-08 field campaign.
机译:在这项工作中,我们描述了一种从双多普勒雷达数据检索风的有效方法。这种方法产生的网格不仅满足观测条件,而且还满足非弹性质量连续性方程。该方法基于所谓的三维变分方法,可以从雷达数据中检索风场。新颖之处在于将任务分为多个步骤,这些步骤可减少通过全局最小化算法处理的数据量,同时保留雷达观测中最相关的信息。该方法具有足够的灵活性,可以合并来自多个雷达的观测结果,适应复杂的采样几何形状,并且可以在分析中轻松包含探空观测或探空观测结果。

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