Loading…

Loading grant details…

Active RESEARCH GRANT UKRI Gateway to Research

NSFGEO-NERC: Advancing capabilities to model ultra-low velocity zone properties through full waveform Bayesian inversion and geodynamic modeling

£2.4M GBP

Funder Natural Environment Research Council
Recipient Organization University of Leeds
Country United Kingdom
Start Date Sep 30, 2024
End Date Sep 29, 2027
Duration 1,094 days
Number of Grantees 1
Roles Principal Investigator
Data Source UKRI Gateway to Research
Grant ID NE/Z00036X/1
Grant Description

Ultra-Low Velocity Zones (ULVZs) are structures with strongly reduced seismic velocities at Earth's core-mantle boundary (CMB) which have been associated with or linked to hot-spot volcanism, Large Igneous Provinces, core-mantle interaction, downwelling subduction and Large-Low Velocity Provinces (LLVPs)

and thus are a critical component of global mantle dynamics. ULVZs are typically studied using waveform analysis of ULVZ-sensitive seismic probes (e.g., SPdKS, ScP, ScS), but previous studies suffer from large uncertainties in ULVZ parameters due to modeling trade-offs and lack a geophysical inference of ULVZs

through rigorous parameter estimation. We seek to develop a transformative waveform inversion approach and apply it to characterize ULVZ properties including their seismic velocities, density, size, and shape. Specifically, we propose to (1) collect a new database of highly ULVZ-sensitive ScP and PcP waveforms utilizing publicly available seismic array

data as well as new data from South Korea, Taiwan, Japan, and the International Monitoring System (IMS) arrays, (2) advance our capabilities for full waveform Bayesian inversion for ULVZ properties in order to quantitatively distinguish regions with and without ULVZ structures (i.e., Bayesian model selection), and

to perform joint inversion of ScP and PcP waveforms, (3) quantify the waveform effects from 2-D/3-D ULVZ structures, (4) search for additional, previously unlooked-for arrivals in the ScP wavefield consistent with 3-D ULVZ structure using array processing approaches, and (5) relate observed ULVZ localities and

properties to lowermost mantle flow and dynamics through 3D geodynamic models.

All Grantees

University of Leeds

Advertisement
Apply for grants with GrantFunds
Advertisement
Browse Grants on GrantFunds
Interested in applying for this grant?

Complete our application form to express your interest and we'll guide you through the process.

Apply for This Grant