Applications of Data Assimilation and Inverse Problems in the Earth Sciences

A comprehensive reference on data assimilation and inverse problems, and their applications across a broad range of geophysical disciplines.

Alik Ismail-Zadeh (Edited by), Fabio Castelli (Edited by), Dylan Jones (Edited by), Sabrina Sanchez (Edited by)

9781009180405, Cambridge University Press

Hardback, published 6 July 2023

400 pages
28.5 x 22 x 2.2 cm, 1.19 kg

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.

Part I. Introduction: 1. Inverse Problems and Data Assimilation in Earth Sciences Alik Ismail-Zadeh, Fabio Castelli, Dylan Jones and Sabrina Sanchez
2. Emerging Directions in Geophysical Inversion Andrew P. Valentine and Malcolm Sambridge
3. A Tutorial on Bayesian Data Assimilation Colin Grudzien and Marc Bocquet
4. Third-Order Sensitivity Analysis, Uncertainty Quantification, Data Assimilation, Forward and Inverse Predictive Modelling for Large-Scale Systems Dan Cacuci
Part II. 'Fluid' Earth Applications from the Surface to the Space: 5. Data Assimilation of Seasonal Snow Manuela Girotto, Keith N. Musselman and Richard L. H. Essery
6. Data Assimilation in Glaciology Mathieu Morlighem and Daniel Goldberg
7. Data Assimilation in Hydrological Sciences Fabio Castelli
8. Data Assimilation and Inverse Modelling of Atmospheric Trace Constituents Dylan Jones
9. Data Assimilation of Volcanic Clouds: Recent Advances and Implications on Operational Forecasts Arnau Folch and Leonardo Mingari
10. Data Assimilation in the Near-Earth Electron Radiation Environment Yuri Y. Shprits, Angelica M. Castillo, Nikita Aseev, Sebastian Cervantes, Ingo Michaelis, Irina Zhelavskaya, Artem Smirnov and Dedong Wang
Part III. 'Solid' Earth Applications from the Surface to the Core: 11. Trans-Dimensional Markov Chain Monte Carlo Methods Applied to Geochronology and Thermochronology Kerry Gallagher
12. Inverse Problems in Lava Dynamics Alik Ismail-Zadeh, Alexander Korotkii, Oleg Melnik, Ilya Starodubtsev, Yulia Starodubtseva, Igor Tsepelev and Natalya Zeinalova
13. Data Assimilation for Real-Time Shake-Mapping and Prediction of Ground Shaking in Earthquake Early Warning Mitsuyuki Hoshiba
14. Global Seismic Tomography Using Time Domain Waveform Inversion Barbara Romanowicz
15. Solving Larger Seismic Inverse Problems with Smarter Methods Lars Gebraad, Dirk-Philip van Herwaarden, Solvi Thrastarson and Andreas Fichtner
16. Using Joint Inversion as a Hypothesis Testing Tool Max Moorkamp
17. Crustal Structure and Moho Depth in the Tibetan Plateau from Inverse Modelling of Gravity Data Shuanggen Jin and S. B. Xuan
18. Geodetic Inversions and Applications in Geodynamics Grigory Steblov and Irina Vladimirova
19. Data Assimilation in Geodynamics: Methods and Applications Alik Ismail-Zadeh, Igor Tsepelev and Alexander Korotkii
20. Geodynamic Data Assimilation: Techniques and Observables to Construct and Constrain Time-Dependent Earth Models Hans-Peter Bunge, Andre Horbach, Lorenzo Colli, Siavash Ghelichkhan, Berta Vilacís and Jorge N. Hayek
21. Understanding and Predicting Geomagnetic Secular Variation via Data Assimilation Weijia Kuang, Kyle Gwirtz, Andrew Tangborn and Mathias Morzfeld
22. Point-wise and Spectral Observations in Geomagnetic Data Assimilation, the Importance of Localization Sabrina Sanchez
Index.

Subject Areas: Meteorology & climatology [RBP], Oceanography [seas RBKC], Petrology [RBGG], Volcanology & seismology [RBC], Mineralogy & gems [PNV], Geophysics [PHVG], Mathematical modelling [PBWH]