Abstract

In this study, a new moving amplification matching algorithm was proposed, and then the temporal and spatial differences and correlation were analysed and evaluated by comparing the FengYun-4A Lightning Mapping Imager (FY-4A LMI) data and the China Meteorological Administration Lightning Detection Network Advanced TOA and Direction (CMA-LDN ADTD) system data of southwest China in July 2018. The results are as follows. Firstly, the new moving amplification matching algorithm could effectively reduce the number of invalid operations and save the operation time in comparison to the conventional ergodic algorithms. Secondly, LMI has less detection efficiency during the daytime, using ADTD as a reference. The lightning number detected by ADTD increased from 5:00 AM UTC (13:00 PM BJT, Beijing Time) and almost lasted for a whole day. Thirdly, the trends of lightning data change of LMI and ADTD were the same as the whole. The average daily lightning matching rate of the LMI in July was 63.23%. The average hourly lightning matching rate of the LMI in July was 75.08%. Lastly, the mean value of the spherical surface distance in the matched array was 35.49 km, and roughly 80% of the matched distance was within 57 km, indicating that the spatial threshold limit was relatively stable. The correlation between LMI lightning radiation intensity and ADTD lighting current intensity was low.

Highlights

  • The relationship between regional lightning activities and weather, climate change [1]and long-term lightning activities plays an important role in maintaining the global circuit balance between the earth and the ionosphere, global water redistribution, NOx generation and so on [2,3,4]

  • Lightning Mapping Imager (LMI) lightning datum matching the multiple required, verification of the feasibility of the two results from difcase, if there is a requirement for the accurate location of a single lightning event, the lightning data

  • 2018 as sample data, this study proposed a new moving amplification matching algorithm to compare the temporal and spatial differences and correlation between LMI lightning and ADTD lightning from multiple perspectives

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Summary

Introduction

The relationship between regional lightning activities and weather, climate change [1]. Hui et al [22] analysed the observation characteristics of the Lightning Mapping Imager (LMI) through a comparison with the TRMM-LIS and the World. Wide Lightning Location Network (WWLLN) by using the observation data of the LIS on the TRMM satellite. The. LMI on FY-4A satellite is one of the main payloads and the first space optical remote sensing instrument in China to detect lightning. Studies about the matching and fusion algorithm direction of FY-4A LMI lightning data and ground China Meteorological. This study analyses the multi-scale characteristics and multi-type correlation of multi-source lightning data on the basis of the moving matching and comparison. This study can the reference for deand multi-type correlation of multi-source data on the basis of the quality movingof veloping multi-source lightning data fusionlightning models and improving the overall amplification matching algorithm. Developing multi-source lightning data fusion models and improving the overall quality of lightning data

Research
Southwest
Julyin2018–31
Lightning Optical Detection and Clustering Principle
Matching Algorithm and Process
Initial Processing and Spatiotemporal Analysis of Lightning Data
1–31 July 2018
Spatiotemporal Characteristics of Lightning Data before Matching
Analysis
10. Variation in the in lightning matching number between the LMI in southwest
Spatial
Feature Analysis of Matching Distance
Feature
Conclusions and Prospect Discussions
Findings
Conclusions and Prospect
Full Text
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