4 papers
Evaluating PhaseNet on Teleseismic Data with MsPASS
Jinxin Ma, Yinzhi Wang, Gary L. Pavlis +1
Numerous studies have shown that the machine-learning picker PhaseNet produces accurate P and S picks on local earthquake signals, but its performance can degrade sharply on telese…
Parallel Seismic Data Processing Performance with Cloud-based Storage
Sasmita Mohapatra, Weiming Yang, Zhengtang Yang +4
This article introduces a general processing framework to effectively utilize waveform data stored on modern cloud platforms. The focus is hybrid processing schemes where a local s…
Multiscale Roughness of Upper Mantle Discontinuities Inferred from the USArray: Dependence on Tomography Models
Yinzhi Wang, Gary L. Pavlis
We used 3D plane wave migration to image topography of the upper mantle discontinuities at 410 km and 660 km depth that defines the transition zone. We find both discontinuities ha…
Training the Next Generation of Seismologists: Delivering Research-Grade Software Education for Cloud and HPC Computing through Diverse Training Modalities
M. Denolle, C. Tape, E. BozdaÄ +28
With the rise of data volume and computing power, seismological research requires more advanced skills in data processing, numerical methods, and parallel computing. We present the…