An inclusive study of lightning at various temporal resolutions over North East India using hi-res satellite data

Authors

  • Rahul Mahanta Interdisciplinary Climate Research Centre, Cotton University, Guwahati 781001, India.
  • Prolay Saha Interdisciplinary Climate Research Centre, Cotton University, Guwahati 781001, India.
  • B Abida Choudhury Interdisciplinary Climate Research Centre, Cotton University, Guwahati 781001, India.

DOI:

https://doi.org/10.18488/112.v7i1.3543

Abstract

Average lightning flash rate density (LFD) values for North East India (NEI) are analyzed for the 16-years (1998–2013) period based on high resolution TRMM LIS data. The number of lightning flash strokes are most active from March to October with the highest number of lightning strokes happening during the months of April and May, with the monsoon months witnessing the maximum spatial density shifting to the plains area. After October, LFD begin to decrease across the entire region. The highest LFD with a value of 56.65 flashes km-2 year-1, observed along an escarpment in the southern parts of Meghalaya plateau. The minimum is found in the semiarid high altitude districts along the Tibetan border in north with a value of 0.74 flashes km-2 year-1. We observed considerable Convective Available Potential Energy (CAPE) with moderately high LFD during the monsoon season, indicating the importance of these quantities in monsoon convections over this region. The low-level wind flow has a significant impact on the LFD distributions during the entire year. The Himalayas to the North and Bay of Bengal to the south enhance local convergence and convection resulting in lightning. Results of this study can be used in relation to lightning safety standards.

Keywords:

Lightning flash density, North East India, TRMM LIS, CAPE, Topography, Convective storms.

Published

2023-12-08

How to Cite

Mahanta, R. ., Saha, P. ., & Choudhury, B. A. . (2023). An inclusive study of lightning at various temporal resolutions over North East India using hi-res satellite data . International Journal of Climate Research, 7(1), 46–66. https://doi.org/10.18488/112.v7i1.3543

Issue

Section

Articles