@article {zhang_lithospheric_2023,
	title = {Lithospheric Imaging Through Reverberant Layers: Sediments, Oceans, and Glaciers},
	journal = {Journal of Geophysical Research: Solid Earth},
	volume = {128},
	number = {5},
	year = {2023},
	note = {_eprint: https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2022JB026348},
	pages = {e2022JB026348},
	abstract = {The Earth, in large portions, is covered in oceans, sediments, and glaciers. High-resolution body wave imaging in such environments often suffers from severe reverberations, that is, repeating echoes of the incoming scattered wavefield trapped in the reverberant layer, making interpretation of lithospheric layering difficult. In this study, we propose a systematic data-driven approach, using autocorrelation and homomorphic analysis, to solve the twin problem of detection and elimination of reverberations without a priori knowledge of the elastic structure of the reverberant layers. We demonstrate, using synthetic experiments and data examples, that our approach can effectively identify the signature of reverberations even in cases where the recording seismic array is deployed in complex settings, for example, using data from (a) a land station sitting on Songliao basin, (b) an ocean bottom station in the fore-arc setting of the Alaska amphibious community seismic experiment, and (c) a station deployed on ice-sediment strata in the glaciers of Antarctica. The elimination of the reverberation is implemented by a frequency domain filter whose parameters are automatically tuned using seismic data alone. On glaciers where the reverberating sediment layer is sandwiched between the lithosphere and an overlying ice layer, homomorphic analysis is preferable in detecting the signature of reverberation. We expect that our technique will see wide application for high-resolution body wave imaging across a wide variety of conditions.},
	issn = {2169-9356},
	doi = {10.1029/2022JB026348},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2022JB026348},
	author = {Zhang, Ziqi and Olugboji, Tolulope}
}
@article {zhang_signature_2021,
	title = {The Signature and Elimination of Sediment Reverberations on Submarine Receiver Functions},
	journal = {Journal of Geophysical Research: Solid Earth},
	volume = {126},
	number = {5},
	year = {2021},
	note = {_eprint: https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2020JB021567},
	pages = {e2020JB021567},
	abstract = {While the receiver function technique has been successfully applied to high-resolution imaging of sharp discontinuities within and across the lithosphere, it suffers from severe limitations when applied to seafloor seismic recordings. This is because the water and sediment layer could strongly influence the receiver function traces, making detection and interpretation of crust and mantle layering difficult. This effect is often referred to as the singing phenomena in marine environments. We demonstrate, using analytical and synthetic modeling, that this singing effect can be reversed using a selective dereverberation filter tuned to match the elastic property of each layer. We apply the dereverberation filter to high-quality earthquake records collected from the NoMelt seismic array deployed on normal, mature Pacific seafloor. An appropriate filter designed using the elastic properties of the underlying sediments, obtained from prior studies, greatly improves the detection of Ps conversions from the Moho (\~{}8.6 km) and from a sharp discontinuity (<\~{}5 km) across the lithosphere asthenosphere transition (\~{}72 km). Sensitivity tests show that the dereverberation filter is mostly sensitive to the two-way travel time of the shear wave in sediment and is robust to seismic noise and small errors in the sediment properties. Our analysis suggests that selectively filtering out the sediment reverberations from ocean seismic data could make inferences on subsurface structure more robust. We expect that this study will enable high-resolution receiver function imaging of the oceanic plate across the growing ocean bottom seismic arrays being deployed in the global oceans.},
	issn = {2169-9356},
	doi = {10.1029/2020JB021567},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2020JB021567},
	author = {Zhang, Ziqi and Olugboji, Tolulope}
}
