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Choice of regularization in adjoint tomography based on two-dimensional synthetic tests
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SYSNO ASEP 0448532 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Choice of regularization in adjoint tomography based on two-dimensional synthetic tests Author(s) Valentová, L. (SK)
Gallovič, F. (SK)
Růžek, Bohuslav (GFU-E) ORCID, RID
de la Puente, J. (ES)
Moczo, P. (SK)Source Title Geophysical Journal International - ISSN 0956-540X
Roč. 202, č. 2 (2015), s. 787-799Number of pages 13 s. Publication form Print - P Language eng - English Country GB - United Kingdom Keywords numerical approximations and analysis ; seismic tomography ; Europe Subject RIV DC - Siesmology, Volcanology, Earth Structure Institutional support GFU-E - RVO:67985530 UT WOS 000360624600008 DOI 10.1093/gji/ggv183 Annotation We present synthetic tests of 2-D adjoint tomography of surface wave traveltimes obtained by the ambient noise cross-correlation analysis across the Czech Republic. The data coverage may be considered perfect for tomography due to the density of the station distribution. Nevertheless, artefacts in the inferred velocity models arising from the data noise may be still observed when weak regularization (Gaussian smoothing of the misfit gradient) or too many iterations are considered. To examine the effect of the regularization and iteration number on the performance of the tomography in more detail we performed extensive synthetic tests. Instead of the typically used (although criticized) checkerboard test, we propose to carry out the tests with two different target models-simple smooth and complex realistic models. The first test reveals the sensitivity of the result on the data noise, while the second helps to analyse the resolving power of the data set. For various noise and Gaussian smoothing levels, we analysed the convergence towards (or divergence from) the target model with increasing number of iterations. Workplace Geophysical Institute Contact Hana Krejzlíková, kniha@ig.cas.cz, Tel.: 267 103 028 Year of Publishing 2016
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