能有效证明三维对流层顶平显图（CAPPI）算法优势的数据。
Data that effectively demonstrate the benefits of a 3D CAPPI algorithm.
作者信息
Kim Yura, Maki Masayuki, Lee Dong-In
机构信息
Research and Education Center for Natural Hazards, Kagoshima University, Japan.
Department of Environmental Atmospheric Sciences, Pukyong National University, Busan, South Korea.
出版信息
Data Brief. 2019 Jun 11;25:104116. doi: 10.1016/j.dib.2019.104116. eCollection 2019 Aug.
The data presented in this article are related to the research article entitled "Three-dimensional analysis of the initial stage of convective precipitation using an operational X-band polarimetric radar network" [1]. The data presented were obtained using a three-dimensional constant-altitude plan-position-indicator (3D CAPPI), which was generated by a new method proposed by [1]. The data used to create the 3D CAPPI were derived from two X-band polarimetric radar installations in the Kanto region of Japan, Ebina (139.39°E, 35.40°N), and Shin-yokohama (139.60°E, 35.51°N). These data are superior to operational radar data in terms of their temporal and spatial resolution. These high resolution data can indicate a rapidly developing storm, such as localized precipitation. It is particularly important to understand the early stages of storms in terms of numerical and short-term models. These data show the time of appearance, life cycle, and evolution of each cell that constitutes a storm in three-dimensional detail.
本文所呈现的数据与题为《利用业务X波段极化雷达网络对对流降水初始阶段的三维分析》的研究论文[1]相关。所呈现的数据是使用三维等高平面位置指示器（3D CAPPI）获得的，该指示器由[1]提出的一种新方法生成。用于创建3D CAPPI的数据源自日本关东地区的两个X波段极化雷达装置，分别是惠比奈（东经139.39°，北纬35.40°）和新横滨（东经139.60°，北纬35.51°）。这些数据在时间和空间分辨率方面优于业务雷达数据。这些高分辨率数据能够指示快速发展的风暴，如局地降水。从数值模型和短期模型的角度理解风暴的早期阶段尤为重要。这些数据以三维细节展示了构成风暴的每个单体的出现时间、生命周期和演变过程。
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