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Spatial Pattern and Land Surface Features Associated with Cloud-to-Ground Lightning in Bangladesh: An Exploratory Study
Severe weather events such as lightning appear to be a significant threat to humans and property in South Asia, an area known for intense convective activity directly related to the tropical climate of these areas. The current study was conducted in Bangladesh and examined the association between cl...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095438/ https://www.ncbi.nlm.nih.gov/pubmed/35578708 http://dx.doi.org/10.1007/s41748-022-00310-4 |
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author | Dewan, Ashraf Islam, K. M. Ashraful Fariha, Tanzim Rahman Murshed, Md Mahbub Ishtiaque, Asif Adnan, Mohammed Sarfaraz Gani Kabir, Zobaidul Chowdhury, Mohammad Barad Hossain |
author_facet | Dewan, Ashraf Islam, K. M. Ashraful Fariha, Tanzim Rahman Murshed, Md Mahbub Ishtiaque, Asif Adnan, Mohammed Sarfaraz Gani Kabir, Zobaidul Chowdhury, Mohammad Barad Hossain |
author_sort | Dewan, Ashraf |
collection | PubMed |
description | Severe weather events such as lightning appear to be a significant threat to humans and property in South Asia, an area known for intense convective activity directly related to the tropical climate of these areas. The current study was conducted in Bangladesh and examined the association between cloud-to-ground (CG) lightning and ground surface properties, with the aim of improving existing knowledge regarding this phenomenon. GLD360 data from 2015 to 2020 were used to describe the seasonal lightning climatology. Elevation, land use and land cover, vegetation and surface heat flux data were used to examine all land surface features possibly associated with CG lightning occurrence. Hot and cold spot spatial patterning was calculated using local indicators of spatial association. Results indicated a strong CG lightning seasonality. CG stroke density varied considerably across seasons with the pre-monsoon exhibiting the highest density. This was followed by occurrences in the monsoon season. The March–June period experienced 73% of the total observed. Elevation appeared to influence the post-monsoon CG stroke, however, its role in the other seasons was more difficult to define. The land cover/lightning index indicated that waterbodies and herbaceous wetlands had more influence than other land cover types, both during the day and at night, and it appeared that latent heat flux played a major role. The CG stroke hot and cold spot locations varied diurnally. The findings suggest that large-scale irrigation practices, especially during the pre-monsoon months, can influence the observed spatiotemporal pattern. The production of hotspot maps could be an initial step in the development of a reliable lightning monitoring system and play a part in increasing public awareness of this issue. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41748-022-00310-4. |
format | Online Article Text |
id | pubmed-9095438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-90954382022-05-12 Spatial Pattern and Land Surface Features Associated with Cloud-to-Ground Lightning in Bangladesh: An Exploratory Study Dewan, Ashraf Islam, K. M. Ashraful Fariha, Tanzim Rahman Murshed, Md Mahbub Ishtiaque, Asif Adnan, Mohammed Sarfaraz Gani Kabir, Zobaidul Chowdhury, Mohammad Barad Hossain Earth Syst Environ Original Article Severe weather events such as lightning appear to be a significant threat to humans and property in South Asia, an area known for intense convective activity directly related to the tropical climate of these areas. The current study was conducted in Bangladesh and examined the association between cloud-to-ground (CG) lightning and ground surface properties, with the aim of improving existing knowledge regarding this phenomenon. GLD360 data from 2015 to 2020 were used to describe the seasonal lightning climatology. Elevation, land use and land cover, vegetation and surface heat flux data were used to examine all land surface features possibly associated with CG lightning occurrence. Hot and cold spot spatial patterning was calculated using local indicators of spatial association. Results indicated a strong CG lightning seasonality. CG stroke density varied considerably across seasons with the pre-monsoon exhibiting the highest density. This was followed by occurrences in the monsoon season. The March–June period experienced 73% of the total observed. Elevation appeared to influence the post-monsoon CG stroke, however, its role in the other seasons was more difficult to define. The land cover/lightning index indicated that waterbodies and herbaceous wetlands had more influence than other land cover types, both during the day and at night, and it appeared that latent heat flux played a major role. The CG stroke hot and cold spot locations varied diurnally. The findings suggest that large-scale irrigation practices, especially during the pre-monsoon months, can influence the observed spatiotemporal pattern. The production of hotspot maps could be an initial step in the development of a reliable lightning monitoring system and play a part in increasing public awareness of this issue. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41748-022-00310-4. Springer International Publishing 2022-05-12 2022 /pmc/articles/PMC9095438/ /pubmed/35578708 http://dx.doi.org/10.1007/s41748-022-00310-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Dewan, Ashraf Islam, K. M. Ashraful Fariha, Tanzim Rahman Murshed, Md Mahbub Ishtiaque, Asif Adnan, Mohammed Sarfaraz Gani Kabir, Zobaidul Chowdhury, Mohammad Barad Hossain Spatial Pattern and Land Surface Features Associated with Cloud-to-Ground Lightning in Bangladesh: An Exploratory Study |
title | Spatial Pattern and Land Surface Features Associated with Cloud-to-Ground Lightning in Bangladesh: An Exploratory Study |
title_full | Spatial Pattern and Land Surface Features Associated with Cloud-to-Ground Lightning in Bangladesh: An Exploratory Study |
title_fullStr | Spatial Pattern and Land Surface Features Associated with Cloud-to-Ground Lightning in Bangladesh: An Exploratory Study |
title_full_unstemmed | Spatial Pattern and Land Surface Features Associated with Cloud-to-Ground Lightning in Bangladesh: An Exploratory Study |
title_short | Spatial Pattern and Land Surface Features Associated with Cloud-to-Ground Lightning in Bangladesh: An Exploratory Study |
title_sort | spatial pattern and land surface features associated with cloud-to-ground lightning in bangladesh: an exploratory study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095438/ https://www.ncbi.nlm.nih.gov/pubmed/35578708 http://dx.doi.org/10.1007/s41748-022-00310-4 |
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