Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales
Thunderstorms (TS) are one of the most devastating atmospheric phenomena, which causes massive damage and adverse losses in various sectors, including agriculture and infrastructure. This study investigates the spatiotemporal variabilities of TS days over Bangladesh and their connection with El Niño...
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| Format: | Article |
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MDPI AG
2020-10-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/11/11/1176 |
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| author | Md Wahiduzzaman Abu Reza Md. Towfiqul Islam Jing–Jia Luo Shamsuddin Shahid Md. Jalal Uddin Sayed Majadin Shimul Md Abdus Sattar |
| author_facet | Md Wahiduzzaman Abu Reza Md. Towfiqul Islam Jing–Jia Luo Shamsuddin Shahid Md. Jalal Uddin Sayed Majadin Shimul Md Abdus Sattar |
| author_sort | Md Wahiduzzaman |
| collection | DOAJ |
| description | Thunderstorms (TS) are one of the most devastating atmospheric phenomena, which causes massive damage and adverse losses in various sectors, including agriculture and infrastructure. This study investigates the spatiotemporal variabilities of TS days over Bangladesh and their connection with El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). The TS, ENSO and IOD years’ data for 42 years (1975–2016) are used. The trend in TS days at the spatiotemporal scale is calculated using Mann Kendall and Spearman’s rho test. Results suggest that the trend in TS days is positive for all months except December and January. The significant trends are found for May and June, particularly in the northern and northeastern regions of Bangladesh. In the decadal scale, most of the regions show a significant upward trend in TS days. Results from the Weibull probability distribution model show the highest TS days in the northeastern region. The connection between TS days and ENSO/IOD indicates a decrease in TS activities in Bangladesh during the El Niño and positive IOD years. |
| first_indexed | 2024-03-10T15:11:43Z |
| format | Article |
| id | doaj.art-3086dee483054b8d9d8677a2ef283b25 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T15:11:43Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-3086dee483054b8d9d8677a2ef283b252023-11-20T19:14:58ZengMDPI AGAtmosphere2073-44332020-10-011111117610.3390/atmos11111176Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD TimescalesMd Wahiduzzaman0Abu Reza Md. Towfiqul Islam1Jing–Jia Luo2Shamsuddin Shahid3Md. Jalal Uddin4Sayed Majadin Shimul5Md Abdus Sattar6Key Laboratory of Meteorological Disaster of Ministry of Education, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Institute for Climate and Application Research (ICAR), Nanjing University of Information Science and Technology, Nanjing 210000, ChinaDepartment of Disaster Management, Begum Rokeya University, Rangpur 5400, BangladeshKey Laboratory of Meteorological Disaster of Ministry of Education, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Institute for Climate and Application Research (ICAR), Nanjing University of Information Science and Technology, Nanjing 210000, ChinaDepartment of Water & Environmental Engineering, School of Civil Engineering, Universiti Teknologi Malaysia (UTM), 81310 Johor, MalaysiaCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210000, ChinaDepartment of Disaster Management, Begum Rokeya University, Rangpur 5400, BangladeshDepartment of Disaster Risk Management, Patuakhali Science and Technology University, Patuakhali 8602, BangladeshThunderstorms (TS) are one of the most devastating atmospheric phenomena, which causes massive damage and adverse losses in various sectors, including agriculture and infrastructure. This study investigates the spatiotemporal variabilities of TS days over Bangladesh and their connection with El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). The TS, ENSO and IOD years’ data for 42 years (1975–2016) are used. The trend in TS days at the spatiotemporal scale is calculated using Mann Kendall and Spearman’s rho test. Results suggest that the trend in TS days is positive for all months except December and January. The significant trends are found for May and June, particularly in the northern and northeastern regions of Bangladesh. In the decadal scale, most of the regions show a significant upward trend in TS days. Results from the Weibull probability distribution model show the highest TS days in the northeastern region. The connection between TS days and ENSO/IOD indicates a decrease in TS activities in Bangladesh during the El Niño and positive IOD years.https://www.mdpi.com/2073-4433/11/11/1176thunderstormvariabilitytrendENSOIODBangladesh |
| spellingShingle | Md Wahiduzzaman Abu Reza Md. Towfiqul Islam Jing–Jia Luo Shamsuddin Shahid Md. Jalal Uddin Sayed Majadin Shimul Md Abdus Sattar Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales Atmosphere thunderstorm variability trend ENSO IOD Bangladesh |
| title | Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales |
| title_full | Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales |
| title_fullStr | Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales |
| title_full_unstemmed | Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales |
| title_short | Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales |
| title_sort | trends and variabilities of thunderstorm days over bangladesh on the enso and iod timescales |
| topic | thunderstorm variability trend ENSO IOD Bangladesh |
| url | https://www.mdpi.com/2073-4433/11/11/1176 |
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