A Parallax Shift Effect Correction Based on Cloud Top Height for FY-4A Lightning Mapping Imager (LMI)

Yuansheng Zhang; Dongjie Cao; Jing Yang; Feng Lu; Dongfang Wang; Ruiting Liu; Hongbo Zhang; Dongxia Liu; Zhixiong Chen; Huimin Lyu; Wei Cai; Shulong Bao; Xiushu Qie

doi:10.3390/rs15194856

Remote Sensing (Oct 2023)

A Parallax Shift Effect Correction Based on Cloud Top Height for FY-4A Lightning Mapping Imager (LMI)

Yuansheng Zhang,
Dongjie Cao,
Jing Yang,
Feng Lu,
Dongfang Wang,
Ruiting Liu,
Hongbo Zhang,
Dongxia Liu,
Zhixiong Chen,
Huimin Lyu,
Wei Cai,
Shulong Bao,
Xiushu Qie

Affiliations

Yuansheng Zhang: School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
Dongjie Cao: National Satellite Meteorological Center, Chinese Meteorological Administration, Beijing 100081, China
Jing Yang: Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Feng Lu: National Satellite Meteorological Center, Chinese Meteorological Administration, Beijing 100081, China
Dongfang Wang: Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Ruiting Liu: Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
Hongbo Zhang: Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Dongxia Liu: Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Zhixiong Chen: Key Laboratory of Humid Subtropical Eco-Geographical Process (Ministry of Education), College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
Huimin Lyu: Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Wei Cai: The Academy of Digital China, Fuzhou University, Fuzhou 350108, China
Shulong Bao: Beijing Institute of Space Mechanics and Electricity, Beijing 100094, China
Xiushu Qie: Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

DOI: https://doi.org/10.3390/rs15194856
Journal volume & issue: Vol. 15, no. 19
p. 4856

Abstract

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The Lightning Mapping Imager (LMI) onboard the Fengyun-4A (FY-4A) satellite is the first independently developed satellite-borne lightning imager in China. It enables continuous lightning detection in China and surrounding areas, regardless of weather conditions. The FY-4A LMI uses a Charge-Coupled Device (CCD) array for lightning detection, and the accuracy of lightning positioning is influenced by cloud top height (CTH). In this study, we proposed an ellipsoid CTH parallax correction (ECPC) model for lightning positioning applicable to FY-4A LMI. The model utilizes CTH data from the Advanced Geosynchronous Radiation Imager (AGRI) on FY-4A to correct the lightning positioning data. According to the model, when the CTH is 12 km, the maximum deviation in lightning positioning caused by CTH in Beijing is approximately 0.1177° in the east–west direction and 0.0530° in the north–south direction, corresponding to a horizontal deviation of 13.1558 km, which exceeds the size of a single ground detection unit of the geostationary satellite lightning imager. Therefore, it is necessary to be corrected. A comparison with data from the Beijing Broadband Lightning Network (BLNET) and radar data shows that the corrected LMI data exhibit spatial distribution that is closer to the simultaneous BLNET lightning positioning data. The coordinate differences between the two datasets are significantly reduced, indicating higher consistency with radar data. The correction algorithm decreases the LMI lightning location deviation caused by CTH, thereby improving the accuracy and reliability of satellite lightning positioning data. The proposed ECPC model can be used for the real-time correction of lightning data when CTH is obtained at the same time, and it can be also used for the post-correction of space-based lightning detection with other cloud top height data.

Published in Remote Sensing

ISSN: 2072-4292 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science
Website: http://www.mdpi.com/journal/remotesensing/

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