Abstract
This article describes a method for recognizing sudden commencement events using digital differentiating filters. This method is applied to INTERMAGNET observatory data. Maximum amplitude derivatives for the magnetic components (X, Y, Z) and the total intensity (F) of the geomagnetic field are introduced, and the decision-making rule is formulated. The authors developed a procedure for selecting optimal digital differentiating filters. Estimates of probabilities of correct and false recognition of sudden commencements were obtained. The calculations of the probabilistic characteristics have confirmed the effectiveness of the method.
Highlights
The state of the Earth’s magnetosphere is monitored by INTERMAGNET observatories, which measure the components and total intensity of the geomagnetic field with a discretetime sampling
Typical Sudden commencements (SC) signals are the patterns characterized by an abrupt increase and decrease in the geomagnetic field intensity, which correspond to large values of derivatives
The duration of SC events ranges from minutes to tens of minutes, and the amplitudes of the jumps take on the values of units of percent from the mean level of the geomagnetic field intensity prior to SC; as a rule, SC are surrounded by noise-like geomagnetic field disturbances
Summary
The state of the Earth’s magnetosphere is monitored by INTERMAGNET observatories, which measure the components and total intensity of the geomagnetic field with a discretetime sampling. Calculating the estimates of SC signals as derivatives of the geomagnetic field is a completely natural approach to solving the problem of predicting the occurrence of a geomagnetic storm [3,4]. In [7], it is recommended to use the actual SC characteristics, including amplitude, rise time, and maximum value of the derivative of SC signals. In [7], it is recommended to use the actual SC characte2riosf-7 tics, including amplitude, rise time, and maximum value of the derivative of SC signals. First-order derivatives are calculated by discrete convolution of the normalized field record with a FIR filter of size s0; that is, s0. We perform the SC recognition by comparing the maximum amplitude derivatives decision rule for. Let for us the assign index a n there is SC, and if HNd (n) < HNd0, we take the opposite decision
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