The observational network analysis for atmospheric inverse modelling extended by emission rates / vorgelegt von Xueran Wu aus Beijing. Wuppertal, 2016
Inhalt
- 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
- 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
- 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
- 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
- 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