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Abstract: Joint inversion of the tsunami, GNSS, and SAR datasets for finite fault modeling: optimizing data weights using Akaike’s Bayesian Information Criterion (ABIC) (AGU25)

Joint inversion of the tsunami, GNSS, and SAR datasets for finite fault modeling: optimizing data weights using Akaike’s Bayesian Information Criterion (ABIC)

Ayumu Mizutani1, Bruno Adriano1, Erick Mas2, Yusaku Ohta3 and Shunichi Koshimura1, (1)Tohoku University, International Research Institute of Disaster Science, Sendai, Japan, (2)Tohoku University, Sendai, Japan, (3)Tohoku University, Research Center for Prediction of Earthquakes and Volcanic Eruptions, Graduate School of Science, Sendai, Japan
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