University of Oulu

J. Tacza, J.-P. Raulin, E. Macotela, A. Marun, G. Fernandez, F.C.P. Bertoni, L.M. Lima, J. Samanes, Y. Buleje, E. Correia, G. Alves, K. Makita, Local and global effects on the diurnal variation of the atmospheric electric field in South America by comparison with the Carnegie curve, Atmospheric Research,Volume 240, 2020, 104938, ISSN 0169-8095,

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

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Author: Tacza, J.1; Raulin, J.-P.1; Macotela, E.2;
Organizations: 1Center of Radio Astronomy and Astrophysics, Engineering School, Mackenzie Presbyterian University, São Paulo, Brazil
2Sodankyla Geophysical Observatory, University of Oulu, Sodankyla, Finland
3Instituto de Ciencias Astronómicas de la Tierra y el Espacio, San Juan, Argentina
4Complejo Astronómico El Leoncito, CASLEO, San Juan, Argentina
5Departamento de Física, Universidade Estadual da Paraíba, Campina Grande, Brazil
6Dirección de Astrofísica, Comisión Nacional de Investigación y Desarrollo Aeroespacial, Lima, Peru
7Universidad Nacional San Luis Gonzaga de Ica, Ica, Peru
8Instituto Nacional de Pesquisas Espaciais, Ministério de Ciência e Tecnología, São José dos Campos, Brazil
9Universidade Federal de Roraima, Boa Vista, Brazil
10Instituto Federal de Roraima, Campus Amajari, Brazil
11Takushoku University, Tokyo, Japan
Format: article
Version: accepted version
Access: embargoed
Persistent link:
Language: English
Published: Elsevier, 2020
Publish Date: 2022-03-02


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.

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Series: Atmospheric research
ISSN: 0169-8095
ISSN-E: 1873-2895
ISSN-L: 0169-8095
Volume: 240
Article number: 104938
DOI: 10.1016/j.atmosres.2020.104938
Type of Publication: A1 Journal article – refereed
Field of Science: 115 Astronomy and space science
Funding: 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).
Copyright information: © 2020 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license