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
