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The observational network analysis for atmospheric inverse modelling extended by emission rates / vorgelegt von Xueran Wu aus Beijing. Wuppertal, 2016
Content
Acknowledgements
List of Figures
List of Tables
Introduction
Overview of Data Assimilation Approaches
Four-dimensional variational data assimilation
Kalman filter and smoother in finite-dimensional spaces
KF and KS for continuous-time systems
KF and KS for discrete-time systems
Ensemble Kalman filter and smoother
Approaches to Optimizing Initial Values and Emission Rates
Current approach to optimizing initial values and emission rates by 4D-Var
Novel approach to optimizing initial values and emission rates by KS
Atmospheric transport model extended by emission rates
Joint optimization of initial values and emission rates
Initial-value-only optimization
Emission-rate-only optimization
Comparison
Application to EnKF and EnKS
Efficiency and Sensitivity Analysis of Observational Networks
Efficiency analysis of observational networks
Efficiency analysis for discrete-time systems
Efficiency analysis of the atmospheric transport model extended by emission rates
Efficiency analysis for continuous-time systems
The ensemble approach for the efficiency analysis
The ensemble approach for discrete-time systems
Example for the efficiency analysis
Sensitivity analysis of observational networks
Sensitivity analysis for discrete-time systems
Sensitivity analysis of the atmospheric transport model extended by emission rates
Sensitivity analysis for continuous-time systems
Emission source apportionments
Model description
Singular vector analysis for emission source apportionments
Example
Joint influence of observation configurations
Optimal Control Locations for Time-Varying Systems in Hilbert Spaces on a Finite-Time Horizon
Linear-quadratic optimal control problem
Existence of optimal control locations
Convergence of optimal control locations
Optimal Observation Locations for Time-Varying Systems in Hilbert Spaces on a Finite-Time Horizon
Kalman filter in Hilbert spaces
Kalman smoother in Hilbert spaces
Optimal locations of observations based on KF and KS
Application
Conclusion
Bibliography