Cloud-to-ground lightning occurrences over India: seasonal and diurnal characteristics deduced with ground-based lightning detection sensor network (LDSN)

Alok Taori (), Arun Suryavanshi and Rajashree V. Bothale
Additional contact information
Alok Taori: National Remote Sensing Centre
Arun Suryavanshi: National Remote Sensing Centre
Rajashree V. Bothale: National Remote Sensing Centre

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 116, issue 3, No 54, 4037-4049

Abstract: Abstract We analyze the Lightning Detection Sensor Network data on cloud-to-ground (CG) lightning occurrences during September 2019–December 2021 over India. The data are grouped into six homogeneous zones as specified by the India Meteorological Department to investigate the seasonal variation of the CG lightning occurrences. The CG lightning occurrences are found to be the most during August–September months over all the six zones while they are at minimum during December–January months with a small peak in occurrences during March–April. The diurnal characteristics of CG lightning flash occurrences are studied by clubbing data into winter, summer, monsoon and post-monsoon seasons. Diurnal characteristics often show two peak times of occurrences with one peak in early morning hours while the other in afternoon-evening hours. It is also noted that all the zones show increase in the lightning occurrences from the year 2019 to 2021. It is noted that CG lightning occurrences over the north-east, central north-east and peninsular India were nearly doubled.

Keywords: Climate; Lightning; Atmosphere (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-023-05839-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:116:y:2023:i:3:d:10.1007_s11069-023-05839-9

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-023-05839-9

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().