报告地点：教学行政楼706 （线上：腾讯会议 921 163 864）
报告时间：2022-02-25 从 14:00 到 15:00
报告人：王凯
报告人简介：
Kai Wang is currently a Research Fellow (2021-present) in the School of Physical and Mathematical Sciences, Nanyang Technological University. He received his Ph.D. degree in 2018 from Macquarie University, Australia. After graduation, he took a postdoctoral position at the University of Toronto (2019) and Macquarie University (2020-2021). His research focuses on seismic tomographic techniques in computational seismology for imaging fine-scale 3D structures of the Earth to understand the tectonic and dynamic evolution of our planet. During his Ph.D. and Postdoc studies, he has published 13 journal papers in his field, including EPSL, GRL, JGR: Solid Earth, GJI, BSSA, … etc. He is currently working on multiparametr adjoint tomography of the Earth lithosphere based on 3D numerical simulations using data sets of ambient seismic noise, local earthquakes, and teleseismic body waves.
报告题目：Multiparameter adjoint tomography of ambient noise and earthquake data to image the fine-scale structure of the Earth's lithosphere
报告内容简介
Seismic tomography is one of the fundamental tools in modern seismology to understand the structure and evolution of our planet. With the advancement of high-performance computing, it has now become practical to use state-of-the-art numerical techniques to study the Earth’s 3-D structures and seismic sources. In this talk, I will introduce our recent studies in full wave seismic tomography based on the spectral-element and adjoint methods (adjoint tomography) on supercomputers. Two main topics will be presented: (1) Adjoint tomography of three-component ambient seismic noise for the study of the isotropic and anisotropic crustal structure of southern California and southwestern China. (2) Full-waveform joint inversion of ambient noise data and telelseismic P waves to image the subducted slab beneath central California.