EGU22-5228
https://doi.org/10.5194/egusphere-egu22-5228
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Digitizing archive atmospheric electric potential gradient data for scientific research

Levente Magos1,2, Tamás Bozóki1,3, István Bozsó1,4, József Bór1, András Horváth1,5, Lukács Kuslits1, Máté Timkó1,4, and Attila Buzás1,4
Levente Magos et al.
  • 1Institute of Earth Physics and Space Science, Sopron, Hungary
  • 2John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary
  • 3Doctoral School of Environmental Sciences, University of Szeged, Szeged, Hungary
  • 4Doctoral School of Earth Sciences, Faculty of Science, Eötvös Loránd University, Budapest, Hungary
  • 5Faculty of Information Technology and Bionics, Péter Pázmány Catholic University, Budapest, Hungary

Nowadays, there is a great need for the preservation of historical data in earth sciences as time series covering a long time period are of extreme importance in studying long-term variations of the Earth’s environment. This is the case in the field of atmospheric electricity research, too. In this work, we focus on one of the most frequently recorded parameters of the discipline, the atmospheric electric potential gradient (PG).

The PG is the reverse of the vertical atmospheric electric field, a quasi-DC quantity measured in Vm-1 units usually near the ground most often at 1–3 m heights [1]. The PG has been measured quasi-continuously at the Széchenyi István Geophysical Observatory near Nagycenk, Hungary (NCK, 47°38’ N, 16°43’ E) since 1962 [2]. Between 1962 and 2011, the PG was recorded on photo papers which were evaluated manually and the hourly averaged PG values were archived. Nevertheless, the original photopapers, too, were kept.

In this contribution, we present a recently developed image processing algorithm to digitize the analogue PG records on the old photo papers semi-automatically. By means of this algorithm, PG averages can be obtained with a temporal resolution as high as 30 s. In order to validate the digitized data, they have been compared to the archived hourly PG averages between 1999 and 2009. The long-term, seasonal, and diurnal variations of the PG at NCK between 1999 and 2009 based on the digitized and the archived data are also presented.

[1] Rycroft, M. J., Israelsson, S., and Price, C.: The global atmospheric electric circuit, solar activity and climate change, J. Atmos. Sol.-Terr. Phy., 62, 1563–1576, 2000.

[2] Bór, J., Sátori, G., Barta, V., Szabóné-André, K., Szendrői, J., Wesztergom, V., Bozóki, T., Buzás, A., and Koronczay, D.: Measurements of atmospheric electricity in the Széchenyi István Geophysical Observatory, Hungary, Hist. Geo Space. Sci., 11, 53–70, https://doi.org/10.5194/hgss-11-53-2020, 2020.

How to cite: Magos, L., Bozóki, T., Bozsó, I., Bór, J., Horváth, A., Kuslits, L., Timkó, M., and Buzás, A.: Digitizing archive atmospheric electric potential gradient data for scientific research, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5228, https://doi.org/10.5194/egusphere-egu22-5228, 2022.

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