Remote Sensing (Jul 2021)

Cloud-to-Ground Lightning Response to Aerosol over Air-Polluted Urban Areas in China

  • Haichao Wang,
  • Zheng Shi,
  • Xuejuan Wang,
  • Yongbo Tan,
  • Honglei Wang,
  • Luying Li,
  • Xiaotong Lin

DOI
https://doi.org/10.3390/rs13132600
Journal volume & issue
Vol. 13, no. 13
p. 2600

Abstract

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The effect of aerosols on lightning has been noted in many studies, but much less is known about the long-term impacts in air-polluted urban areas of China. In this paper, 9-year data sets of cloud-to-ground (CG) lightning, aerosol optical depth (AOD), convective available potential energy (CAPE), and surface relative humidity (SRH) from ground-based observation and model reanalysis are analyzed over three air-polluted urban areas of China. Decreasing trends are found in the interannual variations of CG lightning density (unit: flashes km−2day−1) and total AOD over the three study regions during the study period. An apparent enhancement in CG lightning density is found under conditions with high AOD on the seasonal cycles over the three study regions. The joint effects of total AOD and thermodynamic factors (CAPE and SRH) on CG lightning density and the percentage of positive CG flashes (+CG flashes/total CG flashes × 100; PPCG; unit: %) are further analyzed. Results show that CG lighting density is higher under conditions with high total AOD, while PPCG is lower under conditions with low total AOD. CG lightning density is more sensitive to CAPE under conditions with high total AOD.

Keywords