Applications of Data Assimilation and Inverse Problems in the Earth Sciences
Herausgeber: Ismail-Zadeh, Alik; Sanchez, Sabrina; Jones, Dylan; Castelli, Fabio
Applications of Data Assimilation and Inverse Problems in the Earth Sciences
Herausgeber: Ismail-Zadeh, Alik; Sanchez, Sabrina; Jones, Dylan; Castelli, Fabio
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"A comprehensive reference on data assimilation and inverse problems, and their applications across a broad range of geophysical disciplines, ideal for researchers and graduate students. It highlights the importance of data assimilation for understanding dynamical processes of the Earth and its space environment, and summarises recent advances"--
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"A comprehensive reference on data assimilation and inverse problems, and their applications across a broad range of geophysical disciplines, ideal for researchers and graduate students. It highlights the importance of data assimilation for understanding dynamical processes of the Earth and its space environment, and summarises recent advances"--
Produktdetails
- Produktdetails
- Verlag: European Community
- Seitenzahl: 400
- Erscheinungstermin: 21. September 2023
- Englisch
- Abmessung: 280mm x 216mm x 24mm
- Gewicht: 1021g
- ISBN-13: 9781009180405
- ISBN-10: 1009180401
- Artikelnr.: 67517302
- Verlag: European Community
- Seitenzahl: 400
- Erscheinungstermin: 21. September 2023
- Englisch
- Abmessung: 280mm x 216mm x 24mm
- Gewicht: 1021g
- ISBN-13: 9781009180405
- ISBN-10: 1009180401
- Artikelnr.: 67517302
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.
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.
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.
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.