Show Summary Details
- Title Pages
- [UNTITLED]
- Previous sessions
- Preface
- List of participants
- 1 4D-VAR: four-dimensional variational assimilation
- 2 Four-dimensional variational data assimilation
- 3 Introduction to the Kalman filter
- 4 Smoothers
- 5 Observation influence diagnostic of a data assimilation system
- 6 Observation impact on the short-range forecast
- 7 Background error covariances
- 8 Observation error specifications
- 9 Errors. A posteriori diagnostics
- 10 Error dynamics in ensemble Kalman-filter systems
- 11 Short-range error statistics in an ensemble Kalman filter
- 12 Error dynamics in ensemble Kalman filter systems
- 13 Particle filters for the geosciences
- 14 Second-order methods for error propagation in variational data assimilation
- 15 Adjoints by automatic differentiation
- 16 Assimilation of images
- 17 Multigrid algorithms and local mesh refinement methods in the context of variational data assimilation
- 18 Selected topics in multiscale data assimilation
- 19 Data assimilation in meteorology
- 20 An introduction to inverse modelling and parameter estimation for atmosphere and ocean sciences
- 21 Greenhouse gas flux inversion
- 22 Data assimilation in atmospheric chemistry and air quality
- 23 Combining models and data in large-scale oceanography
- 24 Data assimilation in coastal oceanography
- 25 Data assimilation in glaciology
(p.vii) Preface
(p.vii) Preface
- Source:
- Advanced Data Assimilation for Geosciences
- Publisher:
- Oxford University Press
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- Title Pages
- [UNTITLED]
- Previous sessions
- Preface
- List of participants
- 1 4D-VAR: four-dimensional variational assimilation
- 2 Four-dimensional variational data assimilation
- 3 Introduction to the Kalman filter
- 4 Smoothers
- 5 Observation influence diagnostic of a data assimilation system
- 6 Observation impact on the short-range forecast
- 7 Background error covariances
- 8 Observation error specifications
- 9 Errors. A posteriori diagnostics
- 10 Error dynamics in ensemble Kalman-filter systems
- 11 Short-range error statistics in an ensemble Kalman filter
- 12 Error dynamics in ensemble Kalman filter systems
- 13 Particle filters for the geosciences
- 14 Second-order methods for error propagation in variational data assimilation
- 15 Adjoints by automatic differentiation
- 16 Assimilation of images
- 17 Multigrid algorithms and local mesh refinement methods in the context of variational data assimilation
- 18 Selected topics in multiscale data assimilation
- 19 Data assimilation in meteorology
- 20 An introduction to inverse modelling and parameter estimation for atmosphere and ocean sciences
- 21 Greenhouse gas flux inversion
- 22 Data assimilation in atmospheric chemistry and air quality
- 23 Combining models and data in large-scale oceanography
- 24 Data assimilation in coastal oceanography
- 25 Data assimilation in glaciology
