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This paper presents a novel approach for the detection of polar mesocyclones in the Southern Ocean with Deep Convolutional Neural Networks using infrared (10.3–11.3 micron) and microwave (~6.7 microns) satellite mosaics. This technique demonstrated high accuracy score (97%) within a binary classification problem setup.