Tsunami Data Assimilation for Early Warning

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Springer Theses

ISBN: 9811973415
ISBN 13: 9789811973413
Autor: Wang, Yuchen
Verlag: Springer Verlag GmbH
Umfang: xvii, 97 S., 3 s/w Illustr., 45 farbige Illustr., 97 p. 48 illus., 45 illus. in color.
Erscheinungsdatum: 28.10.2023
Auflage: 1/2023
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 914143 Kategorie:

Beschreibung

Autorenporträt

Dr. Yuchen Wang is a postdoctoral researcher at Japan Agency for Marine-Earth Science and Technology. He received the bachelors degree in physics at Peking University. He received the masters degree and Ph.D. degree in earth and planetary science at the University of Tokyo. His research interest is giant earthquakes and tsunamis. He has been working on tsunami early warning for disaster mitigation. He improved data assimilation algorithm to achieve a rapid and accuracy tsunami forecast. He has published 21 peer-reviewed journal articles and worked as the reviewer for 9 journals including Nature Communications, Journal of Geophysical Research: Solid Earth, and Natural Hazards and Earth System Sciences. He is the principal investigator of the KAKENHI 19J20203 on tsunami data assimilation sponsored by the Japan Society for the Promotion of Science. His research is in collaboration with researchers all over the world.

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