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Estimation of Lightning-Generated NOx in the Mainland of China Based on Cloud-to-Ground Lightning Location Data
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Estimation of Lightning-Generated NOx in the Mainland of China Based on Cloud-to-Ground Lightning Location Data
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Estimation of Lightning-Generated NOx in the Mainland of China Based on Cloud-to-Ground Lightning Location Data
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Journal Article
Estimation of Lightning-Generated NOx in the Mainland of China Based on Cloud-to-Ground Lightning Location Data
2023
Overview
Lightning-generated nitrogen oxides (LNO
x
) have a major influence on the atmosphere and global climate change. Therefore, it is of great importance to obtain a more accurate estimation of LNO
x
. The aim of this study is to provide a reference for the accurate estimation of the total LNO
x
in the mainland of China based on cloud-to-ground lightning (CG) location data from 2014 to 2018. The energy of each CG flash was based on the number of return strokes per CG flash, the peak current of each return stroke, and the assumed CG breakdown voltage. The energy of intracloud lightning (IC) was based on the estimated frequencies of IC and the assumed energy of each IC flash. Combining the energy of lightning and the number of nitric oxide (NO) molecules produced by unit energy (
ρ
no
), the total LNO
x
production in the mainland of China was determined. The LNO
x
in the mainland of China estimated in this study is in the range (0.157–0.321) × 10
9
kg per year [Tg(N) yr
−1
], which is on the high end of other scholars’ works. Negative cloud-to-ground lightning (NCG) flashes produce the most moles of NO
x
, while positive cloud-to-ground lightning (PCG) flashes produce the least total moles of NO
x
. The breakdown voltage of PCG is greater than that of IC or NCG, while the latter has a greater output of LNO
x
.
Publisher
Science Press,Springer Nature B.V,Huangshi Meteorological Bureau,Huangshi 435002,China%Key Laboratory of Meteorological Disaster,Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)/Key Laboratory for Aerosol-Cloud-Precipitation of China MeteorologicalAdministration,Nanjing University of Information Science&Technology,Nanjing 210044,China%Anhui meteorological disaster prevention center,Hefei 230061,China,Key Laboratory of Meteorological Disaster,Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)/Key Laboratory for Aerosol-Cloud-Precipitation of China MeteorologicalAdministration,Nanjing University of Information Science&Technology,Nanjing 210044,China
Subject
