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An array-based receiver function deconvolution method: methodology and application

Zhong, Minyan and Zhan, Zhongwen (2020) An array-based receiver function deconvolution method: methodology and application. Geophysical Journal International, 222 (1). pp. 1-14. ISSN 0956-540X. doi:10.1093/gji/ggaa113.

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Receiver functions (RFs) estimated on dense arrays have been widely used for the study of Earth structures across multiple scales. However, due to the ill-posedness of deconvolution, RF estimation faces challenges such as non-uniqueness and data overfitting. In this paper, we present an array-based RF deconvolution method in the context of emerging dense arrays. We propose to exploit the wavefield coherency along a dense array by joint inversions of waveforms from multiple events and stations for RFs with a minimum number of phases required by data. The new method can effectively reduce the instability of deconvolution and help retrieve RFs with higher fidelity. We test the algorithm on synthetic waveforms and show that it produces RFs with higher interpretability than those by the conventional RF estimation practice. Then we apply the method to real data from the 2016 Incorporated Research Institutions for Seismology (IRIS) community wavefield experiment in Oklahoma and are able to generate high-resolution RF profiles with only three teleseismic earthquakes recorded by the temporary deployment. This new method should help enhance RF images derived from short-term high-density seismic profiles.

Item Type:Article
Related URLs:
URLURL TypeDescription
Zhong, Minyan0000-0002-1382-7061
Zhan, Zhongwen0000-0002-5586-2607
Additional Information:© The Author(s) 2020. Published by Oxford University Press on behalf of The Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( Accepted 2020 March 7. Received 2020 March 7; in original form 2019 June 24. We thank the team of IRIS community wavefield experiment for deployments and making the data readily accessible through IRIS Data services (Anderson et al.2016). We thank Rob Clayton and YoungHee Kim for helpful conversations. We thank Elmer Ruigrok and an anonymous reviewer for providing constructive reviews. This research is financially supported by NSF grant 1722879.
Group:Seismological Laboratory
Funding AgencyGrant Number
Subject Keywords:Joint inversion, Time-series analysis, Computational seismology
Issue or Number:1
Record Number:CaltechAUTHORS:20200625-112848737
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Official Citation:Minyan Zhong, Zhongwen Zhan, An array-based receiver function deconvolution method: methodology and application, Geophysical Journal International, Volume 222, Issue 1, July 2020, Pages 1–14,
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:104042
Deposited By: George Porter
Deposited On:25 Jun 2020 21:45
Last Modified:16 Nov 2021 18:27

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