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Increasing trend of lightning activity in the South Asia region.
Qie, Kai; Qie, Xiushu; Tian, Wenshou.
Afiliação
  • Qie K; College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
  • Qie X; Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Science, Chinese Academy of Sciences, Beijing 100029, China; College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: qiex@mail.iap.ac.cn.
  • Tian W; College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
Sci Bull (Beijing) ; 66(1): 78-84, 2021 Jan 15.
Article em En | MEDLINE | ID: mdl-36654317
ABSTRACT
Lightning is an important natural source of wildfires and oxynitride, and hence significantly influences ecological systems and atmospheric chemistry. Here, we choose South Asia, an important region for global water reallocation and global climate changes, to examine lightning variations based on the longest existing lightning dataset from the OTD/LIS observations. We identify a clear increase in lightning density in the research region, increasing at a rate of 0.096 fl km-2 a-1 over the last two decades. Multiple linear regression analysis is adopted to identify the main influencing factors among ten potential thermodynamic or microphysical factors and the crucial areas contributing to the increases in lightning. The surface latent heat flux along the west coast of the Indian subcontinent is the largest contributor, explaining 52% of the lightning variance and contributing to a 0.025 fl km-2 a-1 increase. The sea surface temperature in the Arabian Sea, the convective available potential energy (CAPE) over the northwestern Indian subcontinent, and the wind shear along the northwestern coast also make important contributions to the lightning increase, indicating that the thermodynamic effects overwhelm the microphysical effects on lightning activity over the South Asia region.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Bull (Beijing) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Bull (Beijing) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China
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