Cloud-to-Ground Lightning Response to Aerosol over Air-Polluted Urban Areas in China
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), a...
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Format: | Article |
Language: | English |
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MDPI AG
2021-07-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/13/13/2600 |
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doaj-78fed4669fcf4f57a5fec017df642103 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Haichao Wang Zheng Shi Xuejuan Wang Yongbo Tan Honglei Wang Luying Li Xiaotong Lin |
spellingShingle |
Haichao Wang Zheng Shi Xuejuan Wang Yongbo Tan Honglei Wang Luying Li Xiaotong Lin Cloud-to-Ground Lightning Response to Aerosol over Air-Polluted Urban Areas in China Remote Sensing aerosol cloud-to-ground lightning urban |
author_facet |
Haichao Wang Zheng Shi Xuejuan Wang Yongbo Tan Honglei Wang Luying Li Xiaotong Lin |
author_sort |
Haichao Wang |
title |
Cloud-to-Ground Lightning Response to Aerosol over Air-Polluted Urban Areas in China |
title_short |
Cloud-to-Ground Lightning Response to Aerosol over Air-Polluted Urban Areas in China |
title_full |
Cloud-to-Ground Lightning Response to Aerosol over Air-Polluted Urban Areas in China |
title_fullStr |
Cloud-to-Ground Lightning Response to Aerosol over Air-Polluted Urban Areas in China |
title_full_unstemmed |
Cloud-to-Ground Lightning Response to Aerosol over Air-Polluted Urban Areas in China |
title_sort |
cloud-to-ground lightning response to aerosol over air-polluted urban areas in china |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2021-07-01 |
description |
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<sup>−2</sup>day<sup>−1</sup>) 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. |
topic |
aerosol cloud-to-ground lightning urban |
url |
https://www.mdpi.com/2072-4292/13/13/2600 |
work_keys_str_mv |
AT haichaowang cloudtogroundlightningresponsetoaerosoloverairpollutedurbanareasinchina AT zhengshi cloudtogroundlightningresponsetoaerosoloverairpollutedurbanareasinchina AT xuejuanwang cloudtogroundlightningresponsetoaerosoloverairpollutedurbanareasinchina AT yongbotan cloudtogroundlightningresponsetoaerosoloverairpollutedurbanareasinchina AT hongleiwang cloudtogroundlightningresponsetoaerosoloverairpollutedurbanareasinchina AT luyingli cloudtogroundlightningresponsetoaerosoloverairpollutedurbanareasinchina AT xiaotonglin cloudtogroundlightningresponsetoaerosoloverairpollutedurbanareasinchina |
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1721298645877260288 |
spelling |
doaj-78fed4669fcf4f57a5fec017df6421032021-07-15T15:44:38ZengMDPI AGRemote Sensing2072-42922021-07-01132600260010.3390/rs13132600Cloud-to-Ground Lightning Response to Aerosol over Air-Polluted Urban Areas in ChinaHaichao Wang0Zheng Shi1Xuejuan Wang2Yongbo Tan3Honglei Wang4Luying Li5Xiaotong Lin6Key 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 Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey 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 Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey 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 Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey 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 Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey 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 Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey 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 Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey 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 Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaThe 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<sup>−2</sup>day<sup>−1</sup>) 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.https://www.mdpi.com/2072-4292/13/13/2600aerosolcloud-to-ground lightningurban |