11 Citations (SciVal)

Abstract

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.

Original languageEnglish
Article number104938
JournalAtmospheric Research
Volume240
DOIs
Publication statusPublished - Aug 2020

Bibliographical note

Funding Information:
JT and JPR would like to thank funding agencies CNPq (Project 422253/2016-2 ), CNPq (Project 312066/2016-3 ), CAPES (Project 88881.310386/2018-01 ). JT thanks the PNPD/ CAPES for funding. EC thanks the National Council for Research and Development (CNPq) for individual research support (process nos: 406690/2013-8 , and 303299/2016-9 ). The authors thank to the Geophysical Institute of Peru for the meteorological data from its Laboratory of Atmospheric Microphysics and Radiation ( LAMAR-IGP ). This work is partially based on data acquired at Complejo Astronómico El Leoncito, operated under agreement between the Consejo Nacional de Investigaciones Científicas y Técnicas de la República de Argentina and the National Universities of La Plata , Córdoba and San Juan. The authors thank the reviewers for their constructive comments and suggestions, which helped to improve the quality of the paper.

Funding Information:
JT and JPR would like to thank funding agencies CNPq (Project 422253/2016-2), CNPq (Project 312066/2016-3), CAPES (Project 88881.310386/2018-01). JT thanks the PNPD/CAPES for funding. EC thanks the National Council for Research and Development (CNPq) for individual research support (process nos: 406690/2013-8, and 303299/2016-9). The authors thank to the Geophysical Institute of Peru for the meteorological data from its Laboratory of Atmospheric Microphysics and Radiation (LAMAR-IGP). This work is partially based on data acquired at Complejo Astronómico El Leoncito, operated under agreement between the Consejo Nacional de Investigaciones Científicas y Técnicas de la República de Argentina and the National Universities of La Plata, Córdoba and San Juan. The authors thank the reviewers for their constructive comments and suggestions, which helped to improve the quality of the paper.

Publisher Copyright:
© 2020 Elsevier B.V.

ASJC Scopus subject areas

  • Atmospheric Science

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