Studies on the seasonal variation of atmospheric electricity parameters at a tropical station in Kolkata, India

De, S. S.; Paul, Suman; Barui, S.; Pal, Pinaki; Bandyopadhyay, Bidhan C.; Kala, D.; Ghosh, Abhijit

doi:10.1016/j.jastp.2013.09.006

Cited by 16 publications

(3 citation statements)

References 28 publications

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“…Daily curve measurements performed at land stations are generally different when compared to the Carnegie curve due to local phenomena, such as pollution and aerosols. Similarly, measurement performed at different stations do not show the same minimum and maximum times as in the Carnegie curve (Yeboah-Amankwah, 1989; Kamra et al, 1994;Harrison, 2003;Kumar et al, 2009;Guha et al, 2010;De et al, 2013). Nevertheless, in some cases good correlations have been found (Israelsson and Tammet, 2001;Harrison, 2003;Marcz and Harrison, 2003).…”

Section: Installation Of the New Network Data Processing And First Re...mentioning

confidence: 90%

A new South American network to study the atmospheric electric field and its variations related to geophysical phenomena

Tacza

Raulin

Macotela

et al. 2014

Journal of Atmospheric and Solar-Terrestrial Physics

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Section: Installation Of the New Network Data Processing And First Re...mentioning

confidence: 90%

A new South American network to study the atmospheric electric field and its variations related to geophysical phenomena

Tacza

Raulin

Macotela

et al. 2014

Journal of Atmospheric and Solar-Terrestrial Physics

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“…These signals are recorded through a PCI 1050, 16 channel 12 bit DAS card and then processed and stored in a computer. The receiver bandwidth used for the 7 and 9 kHz signals is set to 100 Hz to make the measurement sensitive to modal interference patterns (De et al 2013a).…”

Section: Vlf Sferics and Vlf Transmitted Sub-ionospheric Signalsmentioning

confidence: 99%

Earth’s Atmospheric Electricity Parameter Response During Venus Transit

De¹,

Paul²,

Barui³

et al. 2015

Terr. Atmos. Ocean. Sci.

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Venus transited across the Sun on 06 June 2012, introducing significant contribution to the tidal characteristics of the solar atmosphere. Earth's atmosphere was perturbed due to an anomalous Coronal Mass Ejection (CME) and γ-radiation influenced by the solar tide due to Venus transit, thereby the Earth-ionosphere waveguide characteristics were changed. In this anomalous situation we measured some atmospheric electricity parameters such as Schumann resonance (SR) amplitude, very low frequency (VLF) sferics, subionospheric transmitted signals and the point discharge current (PDC) along with the vertical electrical potential gradient (PG) at the ground surface on the day of transit. The results showed some remarkable variations during the transit as well as pre-and post-transit periods. The observed anomalies in the recorded data were interpreted in terms of the anomalous solar tidal effects initiated due to Venus transit.

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“…Thus, in the polluted urban environment, the surface values of the potential gradientare higher than those in the countryside and are subject to additional fluctuations due to changes in concentration. This effect has been found in many cities around the world [2,6,9,40,41]. The lofting of smoke plumes from wildland fires [42], intense dust storms [43,44], and eruptive clouds from volcanoes [45] spreading in middle and upper atmosphere are all factors contributing to a decrease in the potential gradient.…”

Section: Introductionmentioning

confidence: 97%

The Atmospheric Electric Field under Fair-Weather Conditions in the South of Western Siberia based on Observations in Tomsk in 2006–2020

Pustovalov¹,

Nagorskiy²,

Oglezneva³

et al. 2022

Which Factors Contribute to Innovative Performance? A Case Study Applied to the Food and Beverage Industry

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Currently, many researchers have an interest in the investigation of the electric field in the fair-weather electric environment along with its diurnal and seasonal variations across all regions of the world. However, a similar study in the southern part of Western Siberia has not yet been carried out. In this regard, the paper aims to estimate the mean values of the electric field and their variations in this area using the example of Tomsk. The time series of one-minute average potential gradient values as well as other quantities obtained from the geophysical observatory of the Institute of Monitoring of Climatic and Ecological Systems of the Siberian Branch of the Russian Academy of Sciences (IMCES SB RAS, Tomsk, Russia) from 2006 to 2020 is used in this study. The mean annual value of the potential gradient in Tomsk is 282 V/m and usually varies from 161 to 372 V/m. The diurnal variations in potential gradient per year on average are characterized by oscillations of the continental type with a double maximum and minimum. The main minimum of diurnal www.videleaf.com variations is 7 h and the main maximum is 21 h of local time (00 and 14 UTC, respectively). According to the annual mode, the maximum potential gradient is observed in February, and the minimum is recorded in June. The average values and range of the potential gradient in warm periods are 1.2 and 1.5 times less than in cold periods.

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Studies on the seasonal variation of atmospheric electricity parameters at a tropical station in Kolkata, India

Cited by 16 publications

References 28 publications

A new South American network to study the atmospheric electric field and its variations related to geophysical phenomena

A new South American network to study the atmospheric electric field and its variations related to geophysical phenomena

Earth’s Atmospheric Electricity Parameter Response During Venus Transit

The Atmospheric Electric Field under Fair-Weather Conditions in the South of Western Siberia based on Observations in Tomsk in 2006–2020

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