Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Buzás, Attila; Szabóné André, Karolina; Bór, József (2022): Atmospheric electric potential gradient data and measured as well as reanalyzed meteorological parameters at the Széchenyi István Geophysical Observatory, Hungary, from the years 1962-2009 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.942036

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
The negative of the vertical component of the atmospheric direct current (DC) electric field is referred to as the atmospheric electric potential gradient (PG). The PG depends on the actual ionospheric potential, local electric fields, and the electrical conductivity of the air at the place of the measurement. These factors are more or less directly connected to meteorological conditions. The overall state of the global network of large-scale electrical currents in the Earth-ionosphere system can be inferred from the PG when the weather is locally calm. This meteorological condition is traditionally referred to as “fair weather” and is characterized by allowed ranges of specified meteorological parameters. This is why information on the actual weather condition is supposed to be an inherent supplement of PG datasets.
This dataset contains PG data recorded in the Széchenyi István Geophysical Observatory (NCK, 47.632°N, 16.718°E), Hungary from 1962, when the regular measurements were started, up to 2009. Throughout this time period, data were collected using practically the same instrument at the same location. The PG was measured by a locally developed radioactive apparatus which equalizes the atmospheric potential over the lowest 1 m thick air layer so that the potential difference between the sensing and grounded electrodes at ground level is the PG itself. Zero signal offset was determined daily and the instrument was calibrated in the ±250 V/m range weekly whenever it was possible. The instrument has a measuring range of −300 V/m to 300 V/m. The data were recorded photographically by a sensitive galvanometer. Hourly averages were then obtained from the photographical records via manual evaluation with an uncertainty of ±10 V/m. Hourly averaged PG data was included in this dataset when valid records from more than 30 minutes from a given hour were available. Records in the original dataset marked as unreliable or saturated have been omitted. Detailed characteristics of the instruments and the applied calibration technique as well as links to original data publications can be found in Bór et al., 2020 and the references therein.
This dataset also contains hourly PG averages which have been corrected for the time-dependent bias caused by the electrostatic shielding effect of trees that were growing up not far from the measuring instrument over the decades. Note that this shielding effect largely dominates the long-term trends in the uncorrected data, so the original PG data must be interpreted with care. The uncertainty of the conversion is also provided. This uncertainty arises from unexact information on the age and growth rate of different trees near the measuring instrument. Detailed explanation of the correction can be found in Buzás et al., 2021.
On-site measurements of temperature, total rainfall, relative humidity, resultant wind direction and speed, and global solar radiation are available after 2000. These parameters were measured by a Campbell meteorological station. The measured data was compiled using the factory calibration of the sensors throughout the included time interval. The original time resolution of the data is 10 minutes. The data was converted to hourly time resolution to comply with the PG records.
In order to provide a possibility for examining the relation of PG to meteorology on the full time span of the PG records, meteorological parameters obtained in hourly time resolution from the ERA5 reanalysis framework are attached. The two horizontal components of wind speed at 10 m (to calculate the resultant wind speed and direction; see reference ERA5WindCalculation), temperature at 2 m, dew point temperature at 2 m (to calculate relative humidity according to Tetens (1930)), total precipitation, surface pressure, downwards surface solar radiation, snow cover, and snow depth were extracted from the ERA5-Land hourly data 1950 to present dataset (Muñoz Sabater, 2019). Total cloud cover, low cloud cover, and cloud base height between 1962 and 1978 were compiled from the ERA5 hourly data on single levels 1950-1978 (preliminary version) dataset (Bell et al., 2020). The latter parameter set in the 1979–2009 time period was compiled from the ERA5 hourly data on single levels 1979 to present dataset (Herschbach et al., 2018). Note that, due to the finite spatial resolution of the ERA5 framework, these values correspond to the whole area 47.6-47.7 °N latitude and 16.7-16.8 °E longitude (11 km x 11 km) in the case of the ERA5-Land hourly data dataset and 47.5-47.75 °N latitude and 16.5-16.75 °E longitude (28 km x 28 km) in the cases of ERA5 hourly data on single levels datasets. The observatory is located 4 km and 13 km from the center of the corresponding area in the case of higher and lower spatial resolution ERA5 datasets, respectively.
Related to:
Bell, B; Hersbach, Hans; Berrisford, Paul; Dahlgren, Per; Horányi, A; Muñoz-Sabater, Joaquín; Nicolas, J; Radu, R; Simmons, Adrian; Soci, C; Thépaut, Jean-Noël (2020): ERA5 hourly data on single levels from 1950 to 1978. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on 02 Dec 2021), https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-preliminary-back-extension?tab=overview
Bór, József; Sátori, Gabriella; Barta, Veronika; Szabóné André, Karolina; Szendrői, Judit; Wesztergom, Viktor; Bozóki, Tamás; Buzás, Attila (2020): Measurements of atmospheric electricity in the Széchenyi István Geophysical Observatory, Hungary. History of Geo- and Space Sciences, 11(1), 53-70, https://doi.org/10.5194/hgss-11-53-2020
Buzás, Attila; Barta, Veronika; Horváth, Tamás; Bór, József (2021): Revisiting the long-term decreasing trend of atmospheric electric potential gradient measured at Nagycenk, Hungary, Central Europe. Annales Geophysicae, 39(4), 627-640, https://doi.org/10.5194/angeo-39-627-2021
Magos, Levente; Buzás, Attila; Tacza, José; Bozóki, Tamás; Bozsó, István; Kuslits, Lukács; Timkó, Máté; Horváth, András; Bór, József (2022): Atmospheric electric potential gradient data at the Széchenyi István Geophysical Observatory, Hungary, digitized from photographical records from the years 1999-2009. PANGAEA, https://doi.org/10.1594/PANGAEA.950160
Source:
Hersbach, Hans; Bell, B; Berrisford, Paul; Biavati, G; Horányi, A; Muñoz-Sabater, Joaquín; Nicolas, J; Peubey, C; Radu, R; Rozum, I; Schepers, D; Simmons, Adrian; Soci, C; Dee, Dick P; Thépaut, Jean-Noël (2018): ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS) (Accessed on 17 Dec 2021), https://doi.org/10.24381/cds.adbb2d47
Muñoz-Sabater, Joaquín (2019): ERA5-Land hourly data from 1950 to 1980. Copernicus Climate Change Service (C3S) Climate Data Store (CDS) (Accessed on 02-Dec-2021), https://doi.org/10.24381/cds.e2161bac
Muñoz-Sabater, Joaquín (2019): ERA5-Land hourly data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS) (Accessed on 02-Dec-2021), https://doi.org/10.24381/cds.e2161bac
Further details:
ERA5 (2021): Wind calculation. last accessed: 17 Dec 2021, https://confluence.ecmwf.int/pages/viewpage.action?pageId=133262398
Tetens, O (1930): Über einige meteorologische Begriffe. Z. Geophys., 6, 297-309
Funding:
Hungarian Scientific Research Fund (OTKA), grant/award no. K115836: Studying our global, regional, and local electromagnetic environment with ELF transients
Coverage:
Latitude: 47.632000 * Longitude: 16.718000
Date/Time Start: 1962-01-01T00:00:00 * Date/Time End: 2009-12-31T23:00:00
Event(s):
Nagycenk (NCK) * Latitude: 47.632000 * Longitude: 16.718000 * Location: Hungary * Method/Device: Climate monitoring station (CMS)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeBuzás, AttilaGeocode
2Air electric potential gradientE0V/mBuzás, AttilaGeophysical Observatory ReportsPG_uncorr; uncorrected hourly averages of the all-weather atmospheric electric potential gradient
3Air electric potential gradientE0V/mBuzás, AttilaCalculatedPG_corr; corrected hourly averages; corrected for the time-dependent bias caused by the electrostatic shielding effect of nearby trees (Buzౠet al., 2021). These are the values that would have been measured without the presence of nearby trees.
4Air electric potential gradient, uncertaintyE0 uncV/mBuzás, AttilaCalculatedPG_corr_uncertainty; resultant uncertainty of the corrected data which on one hand derives from the uncertainty of ±10 V/m of the uncorrected data, and on the other hand from the uncertainty of the shielding effect correction (Buzౠet al., 2021).
5Air temperature at 2 m heightT2°CBuzás, AttilaCampbell meteorological stationTemp_NCK; hourly averages of the measured outdoor surface temperature data at NCK by a Campbell meteorological station. Averaged from original data in 10 minute time resolution.
6Humidity, relativeRH%Buzás, AttilaCampbell meteorological stationRH_NCK; hourly averages of the measured RH data at NCK. Averaged from original data in 10 minute time resolution.
7PrecipitationPrecipmm/hBuzás, AttilaCampbell meteorological stationTot_prec_NCK; hourly totals of the measured total precipitation data at NCK. Sum from original data in 10 minute time resolution.
8Short-wave downward (GLOBAL) radiationSWDW/m2Buzás, AttilaCampbell meteorological stationGlob_rad_NCK; hourly averages of the measured surface global solar radiation data at NCK. Averaged from original data in 10 minute time resolution.
9Wind speedffm/sBuzás, AttilaCampbell meteorological stationWind_spd_NCK; hourly averages of the measured resultant wind speed data at NCK at a height of 2 m. Averaged from original data in 10 minute time resolution.
10Wind speed, standard deviationff std±Buzás, AttilaCampbell meteorological stationWind_spd_std_NCK; hourly averages of the standard deviation of the measured resultant wind speed at NCK. Averaged from original data in 10 minute time resolution.
11Wind directiondddegBuzás, AttilaCampbell meteorological stationWind_dir_NCK; hourly averages of the measured wind direction at NCK. Averaged from original data in 10 minute time resolution. Wind direction increases clockwise such that a northerly wind is 0°, an easterly wind is 90°, a southerly wind is 180°, and a westerly wind is 270°.
12Wind direction, standard deviationdd std dev±Buzás, AttilaCampbell meteorological stationWind_dir_std_NCK; hourly averages of the standard deviation of the measured resultant wind direction at NCK. Averaged from original data in 10 minute time resolution.
13Air temperature at 2 m heightT2°CBuzás, AttilaERA5-Land hourly data 1950 to present dataset (Muñoz Sabater, 2019)Temp_ERA; outdoor temperature at a height of 2 m obtained from the ERA5 reanalysis. Area: 47.6-47.7 °N, 16.7-16.8 °E.
14Humidity, relativeRH%Buzás, AttilaERA5-Land hourly data 1950 to present dataset (Muñoz Sabater, 2019)RH_ERA; relative humidity calculated from the 2 m dewpoint temperature and 2 m temperature variables obtained from ERA5-Land hourly data 1950 to present dataset (Mu𮸠Sabater, 2019). This variable was derived from water vapour pressures calculated by the Magnus-Tetens formula (Tetens, 1930). Area: 47.6-47.7 °N, 16.7-16.8 °E.
15PrecipitationPrecipmm/hBuzás, AttilaERA5-Land hourly data 1950 to present dataset (Muñoz Sabater, 2019)Tot_prec_ERA; total precipitation obtained from the ERA5 reanalysis. Area: 47.6-47.7 °N, 16.7-16.8 °E.
16Short-wave downward (GLOBAL) radiationSWDW/m2Buzás, AttilaERA5-Land hourly data 1950 to present dataset (Muñoz Sabater, 2019)Sol_rad_ERA; surface solar radiation downwards obtained from the ERA5 reanalysis. It is the amount of solar radiation (also known as shortwave radiation) reaching the surface of the Earth. Area: 47.6-47.7 °N, 16.7-16.8 °E.
17Wind speedffm/sBuzás, AttilaERA5-Land hourly data 1950 to present dataset (Muñoz Sabater, 2019)Wind_spd_ERA; resultant wind speed at 10 m height calculated from u- and v-components of the wind speed at 10 m height obtained from the ERA5 reanalysis (reference: ERA5WindCalculation). Area: 47.6-47.7 °N, 16.7-16.8 °E.
18Wind directiondddegBuzás, AttilaERA5-Land hourly data 1950 to present dataset (Muñoz Sabater, 2019)Wind_dir_ERA; the wind direction at 10 m height calculated from u- and v-components of the wind speed at 10 m height obtained from the ERA5 reanalysis. Wind direction increases clockwise such that a northerly wind is 0°, an easterly wind is 90°, a southerly wind is 180°, and a westerly wind is 270° (reference: ERA5WindCalculation). Area: 47.6-47.7 °N, 16.7-16.8 °E.
19Pressure, atmosphericPPPPhPaBuzás, AttilaERA5-Land hourly data 1950 to present dataset (Muñoz Sabater, 2019)Surf_pres_ERA; pressure at the Earths surface obtained from the ERA5 reanalysis. Area: 47.6-47.7 °N, 16.7-16.8 °E.
20Snow coverageSnow cov%Buzás, AttilaERA5-Land hourly data 1950 to present dataset (Muñoz Sabater, 2019)Snow_cov_ERA; snow cover obtained from reanalysis, i.e., percental fraction of the corresponding ERA5 grid which is covered by snow. Area: 47.6-47.7 °N, 16.7-16.8 °E.
21Snow thicknessSnow thickmBuzás, AttilaERA5-Land hourly data 1950 to present dataset (Muñoz Sabater, 2019)Snow_dep_ERA; average snow depth in the corresponding ERA5 grid-box, obtained from reanalysis. Area: 47.6-47.7 °N, 16.7-16.8 °E.
22Cloud coverCloud cov%Buzás, Attila1962-1978: ERA5 hourly data on single levels 1950-1978 (preliminary version) dataset (Bell et al., 2020), 1979-2009: derived from the ERA5 hourly data on single levels 1979 to present dataset (Herschbach et al., 2018)Tot_cloud_cov_ERA; total cloud cover, i.e., the percental fraction of the corresponding ERA5 grid which is covered by clouds. Obtained from reanalysis. Area: 47.5-47.75 °N, 16.5-16.75 °E.
23Cloud cover, low cloudsLow clouds%Buzás, Attila1962-1978: ERA5 hourly data on single levels 1950-1978 (preliminary version) dataset (Bell et al., 2020), 1979-2009: derived from the ERA5 hourly data on single levels 1979 to present dataset (Herschbach et al., 2018)Low_cloud_cov_ERA; percental fraction of the corresponding ERA5 grid cell which is covered by low clouds, i.e., clouds below approximately 2 km height. Obtained from reanalysis. Area: 47.5-47.75 °N, 16.5-16.75 °E.
24Cloud base heightCBHmBuzás, Attila1962-1978: ERA5 hourly data on single levels 1950-1978 (preliminary version) dataset (Bell et al., 2020), 1979-2009: derived from the ERA5 hourly data on single levels 1979 to present dataset (Herschbach et al., 2018)Cloud_height_ERA; obtained from the ERA5 reanalysis. It represents the height of the base of the lowest cloud layer above the corresponding grid cell on the Earth's surface. Area: 47.5-47.75 °N, 16.5-16.75 °E.
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
5288576 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML (shows only first 2000 rows)