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It is of great importance to develop an algorithm that autodetects sudden commencement (SC) because it could be an indicator of the onset of the geomagnetic storm. A geomagnetic storm is considered as one of the global processes in the ionosphere-thermosphere-magnetosphere system. Automatic detection of SCs is based on multiresolution analysis of a maximal overlap discrete wavelet transform using a Haar wavelet filter. The proposed algorithm is tested on 1-min-resolution data sets collected from magnetic observatories belonging to the International Real-Time Magnetic Observatory Network. Maximum standard deviation of algorithm detection times is observed to be 1 min of the corresponding arrival times published by the National Geophysical Data Center.