Abstract

Abstract. Lightning activity constitute the major destructive component of thunderstorms over India. Hence, an understanding of the long-term variability in lightning occurrence and intensity and their interrelation with various causative factors is required. Long-term (1998–2014) Tropical Rainfall Measuring Mission (TRMM) satellite-based lightning observations depict the most frequent lightning occurrences along the Himalayan foothills, the Indo-Gangetic plains and coastal regions, while the intensity of these lightning strikes is found to be strongest along the coastal regions and in the Bay of Bengal. In addition, both of the abovementioned lightning properties show a very strong intensification (∼ 1 %–2.5 % annually) across all Indian regions during the 1998–2014 period with the maximum trends along the coasts. Accordingly, a detailed statistical dominance analysis is performed which reveals total column water vapor (TCWV) to be the dominant factor behind the intensification in lightning events, while instability, measured by the convective available potential energy (CAPE), and aerosol optical depth (AOD) jointly control the lightning frequency trends. An increase in surface temperatures has led to enhanced instability and, hence, stronger moisture transport to the upper-troposphere and lower-stratosphere regions, especially along the coasts. This transported moisture helps deplete the ozone concentration, leading to reduced temperatures and elevated equilibrium levels, which finally results in stronger and more frequent lightning events, as also evidenced by the trend analysis. Consequently, the relationships between lightning and its causative factors have been expressed in the form of multilinear regression equations, which are then employed in multiple global circulation models (GCMs) to understand the long-term impact of urbanization on lightning over the period from 1950 to 2100. The analysis reveals a uniform increase in lightning occurrence and intensity using both urbanization scenarios; however, accelerated growth is observed in the RCP8.5 projections after the year 2050, as also observed from the surface warming trends. As a result, lightning frequency and intensity values across the Indian region are expected to increase ∼ 10 %–25 % and 15 %–50 %, respectively, by the end of the century with the highest risk along the coasts; hence, this requires immediate attention from policymakers.

Highlights

  • Intense thunderstorm events form a very common climatic feature over the Indian subcontinent

  • The highest magnitude is observed along the foothills of Himalayas (72–95◦ E) which implies the effect of orographic convection on lightning events

  • Low lightning frequencies are observed along the peninsular India due to reduced moisture supply, as it is geographical bounded by mountainous terrain along the coasts from both sides

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Summary

Introduction

Intense thunderstorm events form a very common climatic feature over the Indian subcontinent. Lightning flashes have been found to be significantly correlated with convective rain, total column water vapor (TCWV), or surface relative humidity over both land and sea regions, according to previous studies (Price and Federmesser, 2006; Siingh et al, 2011; Shi et al, 2018) This is because higher humidity levels lead to stronger hydrometeor concentration and updraft velocities, both of which contribute to intense lightning. A new set of research attempts have tried to express lightning and thunderstorm severities in form of their causative factors which are employed in global climate models (GCMs) to provide future projections of extreme events (Diffenbaugh et al, 2013).

Datasets used
Spatial distribution of lightning properties
Long-term trends in lightning frequency and intensity over the Indian region
Physical mechanisms driving the increasing trends in lightning properties
Selection of GCMs for future projection analysis
Examination of the 150-year trends in various factors controlling lightning
Expected overall trends in lightning frequency and intensity
Summary and conclusions
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