Изображение выглядит как диаграмма Автоматически созданное описание

Cambridge University Press

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.

 

Ø  Introduces the theory of geophysical inversions and data assimilation using ordinary-language and examples throughout, making the theory accessible to readers from different geoscientific disiplines

Ø  Highlights state-of-the-art applications in data assimilation and geophysical inversions in Earth science disiplines including atmospheric and cryospheric sciences, hydrology, geochronology, geodesy, geodynamics, geomagnetism, gravity, near-Earth electron radiation, seismology, and volcanology

Ø  Provides examples of how multi- and inter-disciplinary approaches can help to unravel complex phenomena

 

 

CONTENT

List of Contributors

Preface

Acknowledgments

 

Part I      Introduction

  1. Inverse Problems and Data Assimilation in Earth Sciences

Alik Ismail-Zadeh, Fabio Castelli, Dylan Jones & Sabrina Sanchez

  1. Emerging Directions in Geophysical Inversion

Andrew P. Valentine & Malcolm Sambridge

  1. A Tutorial on Bayesian Data Assimilation

Colin Grudzien & Marc Bocquet

  1. 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

  1. Data Assimilation of Seasonal Snow

Manuela Girotto, Keith N. Musselman & Richard L. H. Essery

  1. Data Assimilation in Glaciology

Mathieu Morlighem & Daniel Goldberg

  1. Data Assimilation in Hydrological Sciences

Fabio Castelli

  1. Data Assimilation and Inverse Modelling of Atmospheric Trace Constituents

Dylan Jones

  1. Data Assimilation of Volcanic Clouds: Recent Advances and Implications on Operational Forecasts

Arnau Folch & Leonardo Mingari

  1. 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 & Dedong Wang

 

Part III   ‘Solid’ Earth Applications: from the Surface to the Core

  1. Trans-Dimensional Markov Chain Monte Carlo Methods Applied to geochronology and thermochronology

Kerry Gallagher

  1. Inverse Problems in Lava Dynamics

Alik Ismail-Zadeh, Alexander Korotkii, Oleg Melnik, Ilya Starodubtsev, Yulia Starodubtseva, Igor Tsepelev & Natalya Zeinalova

  1. Data Assimilation for Real-Time Shake-Mapping and Prediction of Ground Shaking in Earthquake Early Warning

Mitsuyuki Hoshiba

  1. Global Seismic Tomography Using Time Domain Waveform Inversion

Barbara Romanowicz

  1. Solving Larger Seismic Inverse Problems with Smarter Methods

Lars Gebraad, Dirk-Philip van Herwaarden, Solvi Thrastarson & Andreas Fichtner

  1. Using Joint Inversion as a Hypothesis Testing Tool

Max Moorkamp

  1. Crustal Structure and Moho Depth in the Tibetan Plateau from Inverse Modelling of Gravity Data

Shuanggen Jin & S.B. Xuan

  1. Geodetic Inversions and Applications in Geodynamics

Grigory Steblov & Irina Vladimirova

  1. Data Assimilation in Geodynamics: Methods and Applications

Alik Ismail-Zadeh, Igor Tsepelev & Alexander Korotkii

  1. 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 & Jorge N. Hayek

  1. Understanding and Predicting Geomagnetic Secular Variation via Data Assimilation

Weijia Kuang, Kyle Gwirtz, Andrew Tangborn & Mathias Morzfeld

  1. Point-wise and Spectral Observations in Geomagnetic Data Assimilation, the Importance of Localization

Sabrina Sanchez

 

Subject Index