Articles | Volume 30, issue 2
https://doi.org/10.5194/npg-30-101-2023
https://doi.org/10.5194/npg-30-101-2023
Research article
 | 
05 Apr 2023
Research article |  | 05 Apr 2023

On parameter bias in earthquake sequence models using data assimilation

Arundhuti Banerjee, Ylona van Dinther, and Femke C. Vossepoel

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Latest update: 13 Jun 2024
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Short summary
The feasibility of physics-based forecasting of earthquakes depends on how well models can be calibrated to represent earthquake scenarios given uncertainties in both models and data. Our study investigates whether data assimilation can estimate current and future fault states in the presence of a bias in the friction parameter.