Identification of marine magnetic anomalies based on the sliding window curve similarity method

Abstract

Abstract Marine magnetic anomalies play an essential role in plate tectonics and geodynamics. The conventional method to identify marine magnetic anomalies is to visually compare synthetic and observed magnetic anomaly profiles, and there is usually no quantitative evaluation for the identification results. Therefore, we developed the sliding window curve similarity (SWCS) method to objectively identify marine magnetic anomalies and quantitatively evaluate the identification results. The synthetic model tests and practical applications show that the SWCS method is feasible and effective in identifying fast-spreading marine magnetic anomalies. The applications of the SWCS method show that the theoretical windows using combined polarity chrons can improve the accuracy of identification. Graphical Abstract