The effect of El Nino and La Nina on lightning activity: its relation with meteorological and cloud microphysical parameters

Guha, Anirban; Banik, Trisanu; Roy, R.; De, B. K.

doi:10.1007/s11069-016-2571-y

Cited by 10 publications

(9 citation statements)

References 38 publications

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“…Summers remain a deficit of precipitation especially in eastern Khyber Pakhtunkhwa and Punjab due to the temperature rise which increases the aerosol burden. The fluctuation in PR can be due to various factors such as changes in El Nino and La Nina conditions of the southern Pacific Ocean [ 80 ].…”

Section: Resultsmentioning

confidence: 99%

RETRACTED: Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing

Basharat,

Tariq,

Chaudhry

et al. 2023

Heliyon

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Section: Resultsmentioning

confidence: 99%

RETRACTED: Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing

Basharat,

Tariq,

Chaudhry

et al. 2023

Heliyon

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“…The most conspicuous intensification in the normalized intensity of SR occurs in February (∼70%) and in April (∼90%), clearly in the transition of ENSO from the La Niña to its El Niño phase (Figure 2a). The intensification is not uniform in UT time but maximizes near 10–14 UT (Figure 2b) when the lightning in the Indo‐Gangetic Plain in northern India is most active, a region previously highlighted for exceptional lightning activity (Albrecht, 2016; Cecil et al., 2014; Guha et al., 2017; Kandalgaonkar et al., 2005). In contrast, only minor intensification is evident during the warm phase in the normalized SR intensity which is more evident in November and December 1997 in Figure 2b where the yellow colors replace the light blue ones.…”

Section: Resultsmentioning

confidence: 91%

“…One important exception is the study by Guha et al. (2017) in which emphasis is given to the warm‐to‐cold transition in the 2009/2010 ENSO event that can be seen in Figure 1. Even in earlier studies making use of the pressure‐based Southern Oscillation Index that considered only temperature and rainfall variations (e.g., Halpert & Ropelewski, 1992) over tropical continental regions, primary attention was given only to the “high” and “low” phases of ENSO, and not their transitions.…”

Section: Discussionmentioning

confidence: 99%

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Evolution of Global Lightning in the Transition From Cold to Warm Phase Preceding Two Super El Niño Events

et al. 2021

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Multistation observations of Schumann resonance (SR) intensity document common behavior in the evolution of continental‐scale lightning activity in two super El Niño events, occurring in 1997/98 and 2015/16. The vertical electric field component of SR at Nagycenk, Hungary and the two horizontal magnetic field components in Rhode Island, USA in 1997, and in 2014–2015, the two horizontal magnetic field components at Hornsund, Svalbard and Eskdalemuir, United Kingdom as well as in Boulder Creek, California and Alberta, Canada exhibit considerable increases in SR intensity from some tens of percent up to a few hundred percents in the transition months preceding the two super El Niño events. The UT time distribution of anomalies in SR intensity indicates that in 1997 the lightning activity increases mainly in Southeast Asia, the Maritime Continent and India, i.e. the Asian chimney region. On the other hand, a global response in lightning is indicated by the anomalies in SR intensity in 2014 and 2015. SR‐based results are strengthened by comparison to independent lightning observations from the Optical Transient Detector and the World Wide Lightning Location Network, which also exhibit increased lightning activity in the transition months. The increased lightning is attributable to increased instability due to thermodynamic disequilibrium between the surface and the midtroposphere during the transition. The main conclusion is that variations in SR intensity may act as a precursor for the occurrence and magnitude of these extreme climate events, and in keeping with earlier findings, as a precursor to maxima in global surface air temperature.

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“…The general observation of peak activity in the months of April and May is also consistent with the previous studies (Kumar and Kamra 2012) that show that the most severe and the tallest (cloud top reaching around 20 km in height) premonsoon cumulonimbus storms that occur due to the deep convection over the Ganges delta region (Weston 1972) which is similar to the severe storm outbreaks in the United States (Carlson et al 1983;Bluestein 1993). Furthermore, Yamane and Hayashi (2006) found that the large static instability and vertical wind shear of this region favour severe thunderstorms and also the changing of the geographical distribution of the cumulonimbus cloud changes by the heat flux of the land surface, wide convective cores, regional variation of the surface temperature, atmospheric moisture, atmospheric inversions, vertical stability, topography of the region (Kumar and Kamra 2012) CAPE and aerosol loading which could affect the lightning occurrence on a regional scale (Baral and Mackerras 1992;Romatschke et al 2010;Guha et al 2016) in the pre-monsoon season.…”

Section: Discussionmentioning

confidence: 99%

Satellite-based observation of lightning climatology over Nepal

et al. 2019

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The lightning climatology over Nepal is analysed in detail for the first time. For the analysis, we utilised the satellite-based lightning imaging sensor data for the period from 1998 to 2013. A comparison of these climatological results is also performed with two ground-based lightning detection networks, namely, the World Wide Lightning Location Network and the Global Lightning Network for 3 yr from 2011 to 2013. On analysing the data obtained from the three sources, we conclude that the months of April and May are extremely vulnerable in the perspective of lightning hazards in Nepal, in contrast to the results reported previously which indicated that the maximum lightning activity occurred in the month of June. The central and eastern regions of the country receive the majority of lightning strikes during the months of April and May. The present finding is supported by the thunderstorm frequency data obtained from the disaster Information Management System, Nepal and also from thunder-day data from NOAA.

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The effect of El Nino and La Nina on lightning activity: its relation with meteorological and cloud microphysical parameters

Cited by 10 publications

References 38 publications

RETRACTED: Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing

RETRACTED: Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing

Evolution of Global Lightning in the Transition From Cold to Warm Phase Preceding Two Super El Niño Events

Satellite-based observation of lightning climatology over Nepal

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