Evaluation of Indian Lightning Location Network (ILLN) and characterization of cloud-to-ground lightning over Lucknow and Shillong using an ordinary camera

Abstract. This work is showing the performance of Indian Lightning Location Network (ILLN) and lightning characteristics around Lucknow and Shillong India. Observation of ground truth using ordinary camera show the location accuracy of lightning location network. By analysing the optically observed data the average cloud to ground lightning flash detection efficiency is 78.9 percent but some of them misclassified. In addition, throughout the observation in Lucknow, authors found the average inter-stroke intervals were 139.2 ms that ranges from 34 ms to 442 ms. Further, average multiplicity and multi-channel termination of these strokes were 2.3 and 1.2 respectively. The single-stroke flashes were below 23% out of the total number of negative cloud-to-ground flashes. In contrary to the Lucknow, all the flashes observed in Shillong seem single-stroke which have lower return stroke peak currents than Lucknow. This estimation of detection efficiency and characteristics will definitely assist to understand the different scenarios of lightning in plane and hilly area over the country and help to forecasters, and modelers.

Authors

Institutions

Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2024-11-11
DOI
https://doi.org/10.5194/isprs-annals-x-5-2024-189-2024
Citations
1
Primary Topic
Lightning and Electromagnetic Phenomena
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Indian Lightning Location Network (ILLN) and characterization of cloud-to-ground lightning over Lucknow and Shillong using an ordinary camera

Shyam Sundar Kundu, Abhay Kumar Srivastava, Manoj A. Domkawale, S. D. Pawar et al.
1 citations
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Lightning and Electromagnetic Phenomena
0.33
article

Evaluation of Indian Lightning Location Network (ILLN) and characterization of cloud-to-ground lightning over Lucknow and Shillong using an ordinary camera

Shyam Sundar Kundu, Abhay Kumar Srivastava, Manoj A. Domkawale, S. D. Pawar, V. Gopalkrishnan, S. P. Aggarwal, Manoj Kumar
article en
1 citations

Abstract

Abstract. This work is showing the performance of Indian Lightning Location Network (ILLN) and lightning characteristics around Lucknow and Shillong India. Observation of ground truth using ordinary camera show the location accuracy of lightning location network. By analysing the optically observed data the average cloud to ground lightning flash detection efficiency is 78.9 percent but some of them misclassified. In addition, throughout the observation in Lucknow, authors found the average inter-stroke intervals were 139.2 ms that ranges from 34 ms to 442 ms. Further, average multiplicity and multi-channel termination of these strokes were 2.3 and 1.2 respectively. The single-stroke flashes were below 23% out of the total number of negative cloud-to-ground flashes. In contrary to the Lucknow, all the flashes observed in Shillong seem single-stroke which have lower return stroke peak currents than Lucknow. This estimation of detection efficiency and characteristics will definitely assist to understand the different scenarios of lightning in plane and hilly area over the country and help to forecasters, and modelers.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. X-5-2024
Indian Institute of Tropical Meteorology (IN), Central University of Jharkhand (IN), North Eastern Space Applications Centre (IN)
Indian Space Research Organisation, Indian Institute of Technology Madras
Openalex Percentile: Top 33%
Lightning and Electromagnetic Phenomena
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.