###### Abstract  
The variability in the atmospheric electric field is modulated by a combination of solar activities, meteorological activities, and geological conditions. A foundational dataset of the daily variations in the fair-weather atmospheric electric field is established in this study, and several examinations are conducted into the details of these variations in particular regions. This paper is organized as follows. First, the researchers count the datasets of daily variations to the atmospheric electric field on fair-weather days from 1 March-1 August 2022 at Zhongshan Chinese Station in Antarctica and Changping Station in Beijing. Then, the average daily variation in the atmospheric electric field on 40 fair-weather days in Antarctica is shown and the variations are compared with the average curve of 37 fair-weather days in Beijing during the same time period. Finally, the three main differences between these variations, their possible reasons, and a reasonable error analysis are clarified and discussed at the end of this paper. atmospheric electric field; Zhongshan Chinese Antarctic station; fair weather 2022202202202202202202202202202202202202202202202202202202202202202202202202202202202202202202202202202202202202202202202220220220220220220220220220220220220  
AEF signal has been of increasing interest to researchers as a possible earthquake precursor signal, and many observations [23; 24; 25] indicate that this is feasible. Fair weather occurs in regions that are not strongly disturbed by meteorological conditions or pollutants, including precipitation, snowfall, dust storms, thunder and lightning activity, and PM2.5. Thus, the fair-weather AEF is mainly related to the local air conductivity and aerosol composition and content. Moreover, this AEF has a daily cycle [26; 27; 28], seasonal cycle, and annual [29] cycle. The single diurnal cycle variation in fair-weather AEFs is known as the Carnegie curve [27]. [PERSON] et al. [30] studied a one-year period (June 2019-May 2020) of AEF data at Gulmarg station, Kashmir (34\({}^{\circ}\)05\({}^{\prime}\) N; 74\({}^{\circ}\)42\({}^{\prime}\) E); they averaged AEF data over 58 fair-weather days and obtained a Carnegie curve, which was compared with meteorological parameters, radon concentrations, and Carnegie curves from other regions. Similarly, [PERSON] et al. [31] also analyzed fair-weather AEFs at nine observation sites in Eurasia, and the results showed that the daily variation in fair-weather AEFs was mainly divided into two categories: single-peaked and double-peaked. Furthermore, fair-weather AEFs were significantly greater in winter than in summer. [PERSON] et al. [26] discussed and analyzed the characteristics of the near-surface AEF under different weather conditions using the data observed on the roof of the Physics Building of Peking University from August 2004 to November 2005. They concluded that the Carnegie curves under fair weather conditions in Beijing showed \"double peaks and double valleys\", with valleys occurring at 05:00 and 12:00 (BJT, UTC+8) and peaks at 07:00 and 23:00 (BJT, UTC+8). Moreover, [PERSON] et al. [32] used a field mill (FM) that has been permanently operated for several years at a distance of approximately 170 m from the Geisberg Tower in Austria and made fair-weather AEF measurements during a campaign conducted at Gaisberg Mountain at the end of June 2010. By comparison, they determined the electric field enhancement factors for different situations. Notably, the vertically oriented AEF (E\({}_{2}\)) is more significantly affected by weather, geology, and solar activities and is more meaningfully studied; thus, researchers always focus on E\({}_{2}\), which is also the case for this paper. Different values of the average AEF during fair weather in different regions are mainly determined by geological conditions in addition to altitude, meteorological conditions, environmental factors, etc.