Spatial and temporal variations in the frequency of thunderstorm days over India

Singh, Omvir; Bhardwaj, Pankaj

doi:10.1002/wea.3080

Cited by 17 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A substantial number of studies have been conducted on thunderstorms worldwide in recent years, e.g., Kunkel et al [12] in the USA, Mir et al [13] in Pakistan, Kunz et al [14] in Germany, Pinto et al [9,10] in Brazil, Enno et al [15] in Europe, Allen and Karoly [7] in Australia, Zheng et al [16] in China, Singh and Bhardwaj [17] in India, Saha and Quadir [2] in Bangladesh and Araghi et al [18] in Iran. Most of the earlier studies focused on the synoptic, dynamic and physical aspects of TS events, as well as modelling or predicting TS occurrence.…”

Section: Introductionmentioning

confidence: 99%

Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The coastal region has very low Z ratios, whereas the interior region has high Z ratios. It is noted that climatologically in this region, mainly along the western coast (Figures 3a and 3b), there used to occur several long‐lasting high‐flash thunderstorms during pre‐monsoon (Singh et al., 2017). On the other hand, in the monsoon (Figures 3c and 3d), fewer thunderstorms are observed, with ample continuous moisture supply from the large‐scale processes coming from Oceanic regions.…”

Section: Resultsmentioning

confidence: 99%

Seasonal and Regional Distribution of Lightning Fraction Over Indian Subcontinent

Ghosh

Pawar

Hazra

et al. 2023

Earth and Space Science

View full text Add to dashboard Cite

Four years of Indian Institute of Tropical Meteorology lightning location network lightning observation data are used to determine the seasonal and spatial (over different geographical locations) distribution of the ratio of intra‐cloud (IC) lightning to cloud‐to‐ground (CG) lightning in thunderstorms over the Indian subcontinent. The ratio is high (6–10) in the northwestern parts and low (0.5–3.5) in the northeastern parts. No prominent latitudinal variation of the IC to CG ratio exists, but a climatological seasonal variability exists over all regions. In the pre‐monsoon season (March–May), the mean ratio is observed to be 3.81 with a standard deviation of 0.79, and during the monsoon season (June–September), a value of 3.04 with a standard deviation of 0.50. Although convective available potential energy is the regulating factor, little dependency has been found between the ratio of IC to CG lightning (IC:CG ratio) and the total flash rate (f), as well as with cold cloud depths. The ratio is observed to be proportional to the total flash rate as f0.61. The cold cloud depth is most prominently linked with the regional and seasonal IC:CG ratio. The implication of these observed results has the importance of separating CG lightning flash from total and can be used in numerical models to give a proper prediction of CG lightning in hazard mitigation.

show abstract

“…Overall results indicate that the coastal regions experience more severe thunderstorms (with high CAPE) than the interior parts of India. The low moisture incursion into the interior parts of India limits thunderstorm occurrences (Roy and Roy, 2021; Singh & Bhardwaj, 2019). In Figure 7c, a comparison is presented between the thunderstorm and premonsoon composites of CAPE.…”

Section: Resultsmentioning

confidence: 99%

Thunderstorm detection from GPM IMERG rainfall: Climatology of dynamical and thermodynamical processes over India

Sasanka,

Priya,

Osuri

et al. 2023

Intl Journal of Climatology

View full text Add to dashboard Cite

This study aims to (i) prepare a premonsoon thunderstorms database, (ii) understand the thunderstorm frequency, duration and intensity and (iii) composite analysis of dynamic and thermodynamic processes related to thunderstorms over India. The thunderstorm associated rainfall varies across India. Hence, a percentile‐based approach is implemented with the integrated multi‐satellite retrievals for global precipitation measurement (IMERG) dataset at 0.1° resolution to identify thunderstorms for 2001–2021. The 93rd percentile appears to be better for thunderstorm detection, with a success ratio of 82% (642 events are confirmed out of 786 detected) in eastern India. Further analysis indicated that 84% of the detected thunderstorms in eastern and northeastern India are associated with lightning activity. Based on this long‐term (2001–2021) thunderstorm data, the highest frequency of thunderstorms (40–45 events·year−1) is observed over the western foothills of the Himalayas, the northeast region, and the west coast of Kerala. The thunderstorm duration in the eastern and northeastern regions and the southwest coast of India is mostly 0.5–2.5 h, producing heavy rainfall (>7 mm·h−1) due to more moisture content and stronger updrafts. The composite structure of thermodynamic indices exhibits significant spatial variations over India and can be used to differentiate the regions of high thunderstorm activity. The minimum (maximum) convective available potential energy (convective inhibition) value required for thunderstorm development is not uniform throughout the country. However, the composites of K index and total totals index during thunderstorms are mostly uniform. This study highlights the benefits of IMERG rainfall in thunderstorm detection over India and helps to understand the local forcings and the effect of thunderstorm activity on different sectors like aviation, agriculture and so forth.

show abstract

Spatial and temporal variations in the frequency of thunderstorm days over India

Cited by 17 publications

References 20 publications

Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales

Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales

Seasonal and Regional Distribution of Lightning Fraction Over Indian Subcontinent

Thunderstorm detection from GPM IMERG rainfall: Climatology of dynamical and thermodynamical processes over India

Contact Info

Product

Resources

About