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.
Daugiau informacijos
A comprehensive reference on data assimilation and inverse problems, and their applications across a broad range of geophysical disciplines.
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
Vilacķs 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.
Alik Ismail-Zadeh is a Research Professor at the Institute of Applied Geosciences, Karlsruhe Institute of Technology. He is the winner of several awards, and a member of Academia Europaea, fellow of American Geological Union, International Science Council, International Union of Geodesy and Geophysics, and honorary fellow of the Royal Astronomical Society. Ismail-Zadeh has written or edited three previous books: Computational Methods for Geodynamics (Cambridge University Press, 2010); Extreme Natural Hazards, Disaster Risks, and Societal Implications (Cambridge University Press, 2014); and Data Driven Numerical Modelling in Geodynamics (2016). Fabio Castelli is Professor of Hydrology at the University of Florence and a member of the American Geological Union, European Geological Union and the International Association for Hydro-Environment Engineering and Research. He is an Associate to the UNESCO Chair on the Prevention and Sustainable Management of Geo-Hydrological Hazards. Castelli's projects focus on drought and water resources management, flood forecasting systems and flood risk management, with particular focus on preservation of cultural heritage. Dylan Jones is a Professor at the University of Toronto, and an atmospheric physicist who held a Tier II Canada Research Chair from 20042014. His research uses data assimilation and inverse modelling techniques to integrate measurements of atmospheric composition with global models of chemistry and transport to develop a better understanding of how pollution influences the atmosphere. Sabrina Sanchez is a geophysicist at the Institut de Physique du Globe de Paris with a primary research interest in geomagnetism. Her main work consists of using data assimilation to constrain Earth's core dynamics over the past millennia, combining palaeomagnetic and historical data together with dynamo simulations. She has also worked with solar and planetary dynamos.
