2019
DOI: 10.1007/s10950-019-09888-1
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Reliable workflow for inversion of seismic receiver function and surface wave dispersion data: a “13 BB Star” case study

Abstract: Non-linear inverse problems arising in seismology are usually addressed either by linearization or by Monte Carlo methods. Neither approach is flawless. The former needs an accurate starting model; the latter is computationally intensive. Both require careful tuning of inversion parameters. An additional challenge is posed by joint inversion of data of different sensitivities and noise levels such as receiver functions and surface wave dispersion curves. We propose a generic workflow that combines advantages o… Show more

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Cited by 4 publications
(5 citation statements)
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“…Checkerboard tests can ensure additional insight into the data and are designated to investigate the adequacy of the initial model and the stability of the inversion scheme (Chrapkiewicz et al 2020). The checkerboard tests can be used to test the ability of the inversion scheme to reconstruct velocity anomalies (in the presented study with depth).…”
Section: Checkerboard Testsmentioning
confidence: 99%
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“…Checkerboard tests can ensure additional insight into the data and are designated to investigate the adequacy of the initial model and the stability of the inversion scheme (Chrapkiewicz et al 2020). The checkerboard tests can be used to test the ability of the inversion scheme to reconstruct velocity anomalies (in the presented study with depth).…”
Section: Checkerboard Testsmentioning
confidence: 99%
“…However, the typically analysed maximum period of surface waves recorded by broadband seismometers is 100-180 s (e.g. Stehly et al 2009;Chrapkiewicz et al 2020). A resolving power of a given inversion scheme can be estimated based on the resolution matrix whenever possible (e.g.…”
Section: Introductionmentioning
confidence: 99%
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“…Such functions can be extracted from the model resolution matrix (Jackson, 1972;. Several examples of the use of resolution matrices to analyze various inversion problems can be found in the literature (Alumbaugh and Newman, 2000;Routh and Miller, 2006;Fichtner and Leeuwen, 2015;Chrapkiewicz et al, 2020;. A few publications have also briefly discussed applications of the model resolution matrix within CSEM inversion but with limited demonstrations .…”
Section: R E F E R E N C E Smentioning
confidence: 99%
“…Such functions can be extracted from the model resolution matrix (Jackson, 1972;Menke, 2012). Several examples of the use of resolution matrices to analyze various inversion problems can be found in the literature (Alumbaugh and Newman, 2000;Friedel, 2003;Routh and Miller, 2006;Kalscheuer et al, 2010;Fichtner and Leeuwen, 2015;Chrapkiewicz et al, 2020;Ren and Kalscheuer, 2020). A few publications have also briefly discussed applications of the model resolution matrix within CSEM inversion but with limited demonstrations (Grayver et al, 2014;Mattsson, 2015;Mckay et al, 2015).…”
Section: Introductionmentioning
confidence: 99%