Abstract
The rotational effect observed in variations of areas of polar coronal holes with a period of 14 days is analyzed with SDO data by using Coronal Hole Identification with the Multithermal Emission Recognition Algorithm (CHIMERA) algorithm and the algorithm for the identification of solar structures from neural networks. A physical interpretation of the observed rotational effect associated with the asymmetry of coronal holes is proposed.
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