Obtaining reliable source locations with time reverse imaging: limits to array design, velocity models and signal-to-noise ratios

Werner, Claudia; Saenger, Erik H.

doi:https://doi.org/10.5194/se-9-1487-2018

Articles | Volume 9, issue 6

https://doi.org/10.5194/se-9-1487-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/se-9-1487-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 9, issue 6

Research article

|

14 Dec 2018

Research article |

| 14 Dec 2018

Obtaining reliable source locations with time reverse imaging: limits to array design, velocity models and signal-to-noise ratios

Claudia Werner and Erik H. Saenger

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Final revised paper (published on 14 Dec 2018)
Preprint (discussion started on 21 Aug 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Comments to the authors', Anonymous Referee #1, 27 Sep 2018
- AC1: 'Answer to Comment by Referee #1', Claudia Werner, 03 Nov 2018
RC2: 'Review of the paper by Wernear and Saenger: Obtaining reliable localizations with Time Reverse Imaging: limits to array design, velocity models and signal-to-noise ratios', Anonymous Referee #2, 28 Sep 2018
- AC2: 'Answer to Comment by Referee #2', Claudia Werner, 03 Nov 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Claudia Finger on behalf of the Authors (03 Nov 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (05 Nov 2018) by Michal Malinowski

RR by Anonymous Referee #1 (30 Nov 2018)

ED: Publish as is (30 Nov 2018) by Michal Malinowski

ED: Publish as is (01 Dec 2018) by Federico Rossetti (Executive editor)

AR by Claudia Finger on behalf of the Authors (03 Dec 2018)

Short summary

Time reverse imaging is a method for locating quasi-simultaneous or low-amplitude earthquakes. Numerous three-dimensional synthetic simulations were performed to discover the influence of station distributions, complex velocity models and high noise rates on the reliability of localisations. The guidelines obtained enable the estimation of the localisation success rates of an existing station set-up and provide the basis for designing new arrays.