Applications of data assimilation and inverse problems in the earth sciences

• Titel: Applications of data assimilation and inverse problems in the earth sciences
• Mitwirkende: Ismail-Zadeh, Alik [HerausgeberIn]
• Mitwirkende: Castelli, Fabio [HerausgeberIn]
• Mitwirkende: Jones, Dylan [HerausgeberIn]
• Mitwirkende: Sanchez, Sabrina [HerausgeberIn]
• Verf.angabe: edited by Alik Ismail-Zadeh, Fabio Castelli, Dylan Jones, Sabrina Sanchez
• Verlagsort: Cambridge ; New York, NY
• Verlag: Cambridge University Press
• Jahr: 2023
• Umfang: 1 Online-Ressource (viii, 357 pages)
• Illustrationen: Illustrationen
• Gesamttitel/Reihe: Special publications of the International Union of Geodesy and Geophysics
• Fussnoten: Title from publisher's bibliographic system (viewed on 30 Jun 2023)
• ISBN: 978-1-009-18041-2
• DOI: doi:10.1017/9781009180412
• Schlagwörter: (s)Geowissenschaften / (s)Mathematisches Modell / (s)Inverses Problem
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe: Applications of data assimilation and inverse problems in the earth sciences. - Cambridge : Cambridge University Press, 2023. - viii, 357 Seiten
• K10plus-PPN: 1852921994
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

Many contemporary problems within the Earth sciences are complex, and require an interdisciplinary approach. This book provides a comprehensive reference on data assimilation and inverse problems, as well as their applications across a broad range of geophysical disciplines. With contributions from world leading researchers, it covers basic knowledge about geophysical inversions and data assimilation and discusses a range of important research issues and applications in atmospheric and cryospheric sciences, hydrology, geochronology, geodesy, geodynamics, geomagnetism, gravity, near-Earth electron radiation, seismology, and volcanology. Highlighting the importance of research in data assimilation for understanding dynamical processes of the Earth and its space environment and for predictability, it summarizes relevant new advances in data assimilation and inverse problems related to different geophysical fields. Covering both theory and practical applications, it is an ideal reference for researchers and graduate students within the geosciences who are interested in inverse problems, data assimilation, predictability, and numerical methods.