Abstract:In this study, we examine the influence of the mantle and large-scale
tectonics on the global mid-ocean ridge (MOR) system. Using solely
seismically-inferred upper mantle temperatures below the melting zone
(260-600 km) and an interpretable machine learning model (Random Forest
and Principal Component Analysis), we predict, with up to
90\% accuracy, the basin of origin of ridge segments
without any prior geographic information. Two features provide
$>$50\% of the discriminative power: the
temperature differ… Show more
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