Implementing 3D Earth models for wavefield simulations and seismic moment tensor estimation

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ID: 320949
2026
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Abstract
Summary Seismic moment tensors provide simple representations of a wide range of event types, including earthquakes, volcanic events, landslides, and explosions. Estimating the six parameters of a seismic moment tensor is subject to inaccuracies in the assumed Earth model, whether it is characterized by a simple layered structure (1D) or by heterogeneities (3D). Using recorded data and seismic wavefield simulations in 3D Earth models, we estimate double-couple and full moment tensors using MTUQ software, and then we quantify the differences among moment tensors due to the different Earth models. We establish new capabilities for implementing 3D Earth models from the EarthScope Earth Model Collaboration (EMC) into the wave propagation code SPECFEM3D Globe. The three workflow components—EMC, SPECFEM3D Globe, and MTUQ—are publicly available, thereby maximizing possibilities for access, reproducibility, and future enhancements. We demonstrate the source estimation workflow in the region of Alaska, using 5earthquakes and 53D Earth models. Using misfit measures from the moment tensor estimation, we can quantify the performance of both the moment tensor and also the underlying Earth model. For this limited data set of 5 well-recorded events, we demonstrate how to examine basic questions of source variability, tomographic model evaluation, and the reliability of non-double-couple components of moment tensors. The procedures enable quantification and visualization of moment tensor uncertainties due to Earth models, while also offering direct comparison of tomographic models with an independent reference set of data.
Reference Key
openalex_W7168267411 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Amanda M McPherson, Carl Tape, Daniel Peter
Journal geophysical journal international
Year 2026
DOI
10.1093/gji/ggag283
URL
https://doi.org/10.1093/gji/ggag283
Keywords Keywords not found

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