Local and global effects on the diurnal variation of the atmospheric electric field in South America by comparison with the Carnegie curve

The study of the global atmospheric electric circuit is important to understand the climate system and this can be done by monitoring the atmospheric electric field worldwide. In this way, continuous measurements of atmospheric electric field are being recorded by the Atmospheric electric FIeld Netw...

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Bibliographic Details
Published in:	Atmospheric research Vol. 240; p. 104938
Main Authors:	Tacza, J., Raulin, J.-P., Macotela, E., Marun, A., Fernandez, G., Bertoni, F.C.P., Lima, L.M., Samanes, J., Buleje, Y., Correia, E., Alves, G., Makita, K.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01-08-2020
Online Access:	Get full text
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Summary:	The study of the global atmospheric electric circuit is important to understand the climate system and this can be done by monitoring the atmospheric electric field worldwide. In this way, continuous measurements of atmospheric electric field are being recorded by the Atmospheric electric FIeld Network in South America (AFINSA). The main objective of this network is to obtain the daily curve of atmospheric electric field variations under fair weather conditions for each station, through monthly, seasonal and annual averages. These curves are called ‘standard curves’. In this paper, we compare and analyze the monthly, seasonal and annual standard curves for each sensor location. The results indicate significant similarities and differences between the annual standard curve and the Carnegie curve. The similarities, with correlation r ≥ 0.9 for most stations, are associated with a global representation of the global electrical circuit and the differences due to local effects, such as ‘Austausch’ effect and pollution. •A new network to monitor the atmospheric electric field on the ground.•Global and local contribution are found in the electric field standard curves.•Annual standard curves have a high correlation with the ‘universal’ Carnegie curve.
ISSN:	0169-8095 1873-2895
DOI:	10.1016/j.atmosres.2020.104938