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Comparative analysis of satellite-based and ground-based lightning detection data during 2013-2016 in China

机译:2013 - 2016年卫星基于地面避雷检测数据的比较分析

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摘要

According to the location of sensors,there are two main ways to obtain lightning detection data:satellite-based and ground-based,each have its own advantages and disadvantages, the assessment of data quality is an important issue. In this paper, based on comprehensive analysis of the data from satellite- and ground-based detector (2013-2016), a sensitivity test is designed, and a scientific comparison method is proposed. From multiple dimensions, the differences and similarities between them, the sources of error and the method of correcting are investigated. Through the comparative analysis, we can get more information on spatial and temporal lightning distribution characteristics in China the following conclusions are drawn: 1. satellite- and ground-based lightning detection data over China show good consistency during 2013-2016, and with the development of technology and the improvement of detection stations layout, the proportion of matches go up steadily. Furthermore, limited by geographical factors, the layout of China Lightning Detection Network (CLDN) is uneven, the East is comparatively dense, and West is comparatively sparse, so the matching ratio is not exactly the same. We also noticed that Lightning Imaging Sensor (LIS) cannot continuously monitor the evolution process of lightning, and it's a reason that the proportion of matches are not very high in general. 2. Matching proportion shows obvious time diversity. It presented a single peak in August. Matching proportion among seasons as follows: summer-autumn-spring-winter (from high to low), in particular, it had less variability during winter and spring than summer and autumn, reflecting the characters of strong convective weather in China. 3. Due to the different detection principles, the amount of lightning events that occur at "night" detected by LIS, much more than lightning events that occur in the "day" time. While the situation is completely different for CLDN, there was no significant difference in the amount of lightning that occurs between day and night, and there is still a lot of space for improvement. 4. Sample data revealed that larger radiance LIS signals did not mean a higher matching ratio, this is different from conventional wisdom. It may imply that satellite-based detection and ground-based detection are sensitive to lightning signals with different radiation levels.The work of this paper also provides the basis for the quality evaluation and fusion analysis of the satellite-based vs. ground-based multi-source lightning detection data.
机译:根据传感器的位置,有两种主要的方法可以获得避雷检测数据:基于卫星和地面的,每个都有自己的优缺点,数据质量评估是一个重要问题。本文基于卫星和地面检测器数据的综合分析(2013-2016),设计了灵敏度测试,提出了一种科学比较方法。根据多维,研究了它们之间的差异和相似性,误差源和校正方法。通过比较分析,我们可以获得更多关于中国的空间和时间闪电分布特征的信息,得出了以下结论:1。在2013 - 2016年中国卫星和地面避雷检测数据显示出良好的一致性,并随着开发技术与检测站布局的改进,匹配比例稳步上升。此外,受地理因素的限制,中国雷电检测网络的布局(CLDN)是不均匀的,东方相对致密,西方相对稀少,因此匹配比率不完全相同。我们还注意到雷电成像传感器(LIS)不能连续监测闪电的演化过程,这是匹配比例的原因一般不是很高。 2.匹配比例显示出明显的时间分集。它在八月介绍了一个峰。季节之间的比例如下:夏季春季冬季(从高到低),特别是在冬季和春季比夏天和秋季的变化较少,反映了中国强烈对比天气的特征。 3.由于检测原则不同,LIS检测到的“夜间”发生的闪电事件的量远远超过“日”时间内发生的闪电事件。虽然这种情况对于CLDN完全不同,但在白天和夜间发生的闪电量没有显着差异,并且仍然存在很多改进空间。 4.样本数据显示,较大的辐射LIS信号并不意味着较高的匹配比,这与传统智慧不同。它可能暗示,基于卫星的检测和基于地基检测对具有不同辐射水平的闪电信号敏感。本文的工作还为基于地面的基于卫星的VS质量评估和融合分析提供了基础。 - 源闪电检测数据。

著录项

  • 来源
    《Indian Journal of Marine Sciences》 |2020年第3期|464-470|共7页
  • 作者

    Zhu Jie; Xing Hongyan;

  • 作者单位

    Nanjing Univ Informat Sci & Technol Jiangsu Key Lab Meteorol Observat & Informat Proc Nanjing 210044 Peoples R China|Nanjing Univ Informat Sci & Technol Collaborat Innovat Ctr Forecast & Evaluat Meteoro Nanjing 210044 Peoples R China|Nanjing Univ Informat Sci & Technol Collaborat Innovat Ctr Atmospher Environm & Equip Nanjing 210044 Peoples R China|CMA Natl Satellite Meteorol Ctr Beijing 100081 Peoples R China|Heavy Rain & Drought Flood Disasters Plateau & Ba Chengdu 610072 Peoples R China;

    Nanjing Univ Informat Sci & Technol Jiangsu Key Lab Meteorol Observat & Informat Proc Nanjing 210044 Peoples R China|Nanjing Univ Informat Sci & Technol Collaborat Innovat Ctr Forecast & Evaluat Meteoro Nanjing 210044 Peoples R China|Nanjing Univ Informat Sci & Technol Collaborat Innovat Ctr Atmospher Environm & Equip Nanjing 210044 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ground-based; Lightning characteristics; Lightning detection; Satellite-based;

    机译:基于地面;避雷器特性;避雷检测;基于卫星;

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