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Through the complex analysis of the geomagnetic database of the Surlari Geomagnetic Observatory for over 80 years, corroborated with the data of other planetary observatories from the INTERMAGNET network, we have extracted the geomagnetic information that is correlated with the specific physical parameters of space weather domain. Space weather refers to the conditions and phenomena occurring in outer space that can influence the near-Earth space environment. This concept includes a variety of events and condition...

The main objectives of this study are: analysis of the associated spectrum of the geomagnetic field, time of occurrence of geomagnetic storms and comparisons between recordings made at various geomagnetic observatories in the INTERMAGNET network, in terms of frequency intensity identified and correlations during geomagnetic disturbances. A geomagnetic storm is a temporary disturbance of the Earth's magnetosphere caused by ejections of solar corona mass, coronal holes or solar flares. The data used in this paper ar...

The Auto-Regressive Integrated Moving Average (ARIMA) model is widely used to forecast non-stationary time series data. In a model of ARIMA (p, d, q), AR is autoregressive, p is the number of regression terms, MA is the moving average, q is the number of moving average terms, and d is the difference time to make the data a stationary series. It can be used to forecast the trend of geomagnetic disturbances. Firstly, the non-stationary historical data xt is processed by the d difference to develop the stable histori...