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Caveats on tomographic images
Authors:Gillian R Foulger  Giuliano F Panza  Irina M Artemieva  Ian D Bastow  Fabio Cammarano  John R Evans  Warren B Hamilton  Bruce R Julian  Michele Lustrino  Hans Thybo  Tatiana B Yanovskaya
Institution:1. Department of Earth Sciences, Durham University, , Durham, UK;2. Department of Mathematics and Geosciences, University of Trieste, Italy and the Abdus Salam ICTP‐SAND Group, , Trieste, Italy;3. Institute of Geophysics, China Earthquake Administration, , Beijing, China;4. Department of Geography and Geology, University of Copenhagen, , Denmark;5. Department of Earth Science and Engineering, Imperial College, , London, SW7 2AZ UK;6. U.S. Geological Survey, , Menlo Park, California, 94025 USA;7. Department of Geophysics, Colorado School of Mines, , Golden, Colorado, 80401 USA;8. Dipartimento di Scienze della Terra, Università degli Studi di Roma La Sapienza, , 00185 Rome, Italy;9. CNR – Istituto di Geologia Ambientale e Geoingegneria (IGAG) c/o, Dipartimento di Scienze della Terra, Università degli Studi di Roma La Sapienza, , Rome, Italy;10. Department of Physics of the Earth, Sankt‐Petersburg State University, , Sankt‐Petersburg, Russia
Abstract:Geological and geodynamic models of the mantle often rely on joint interpretations of published seismic tomography images and petrological/geochemical data. This approach tends to neglect the fundamental limitations of, and uncertainties in, seismic tomography results. These limitations and uncertainties involve theory, correcting for the crust, the lack of rays throughout much of the mantle, the difficulty in obtaining the true strength of anomalies, choice of what background model to subtract to reveal anomalies, and what cross‐sections to select for publication. The aim of this review is to provide a relatively non‐technical summary of the most important of these problems, collected together in a single paper, and presented in a form accessible to non‐seismologists. Appreciation of these issues is essential if final geodynamic models are to be robust, and required by the scientific observations.
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