Adjoint waveform tomography of East Asia for improved waveform prediction

Technical Report · Mon Sep 23 00:00:00 EDT 2024

DOI:https://doi.org/10.2172/2481647· OSTI ID:2481647

Doody, Claire ^[1]; Simmons, Nathan ^[1]; Rodgers, Artie ^[1]

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1. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

We present a preliminary version of the East Asia Tomography (EAT) model, an adjoint waveform tomography model of East and Southeast Asia. We used SPiRaL (Simmons et al., 2021) as our starting model and source parameters for 238 earthquakes from the Global Centroid Moment Tensor catalogue (Ekström et al., 2012). After 50 iterations on Lawrence Livermore National Laboratory’s Lassen supercomputer, we converge on a model with a minimum period of 50 seconds. The preliminary model shows improved slab structure compared to SPiRaL and shows significantly reduced misfit. In later versions of the model, we aim to harness techniques proposed in other studies to improve waveform predictions that travel through the ocean (e.g., Wehner et al., 2022) and use relative amplitude-based misfit functions (e.g., Tao et al., 2018) to better constrain Earth structure. We hope to iterate the current extent of the model to 25 seconds minimum period before iterating to shorter periods for a smaller subregion of the full model.

• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC52-07NA27344
• OSTI ID: 2481647
• Report Number(s): LLNL--TR-869706; 1106607
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
Geosciences