PhD theses
Below is a list of PhD theses carried out in data assimilation at the University of Reading.2016
- K. E. Howes- Accounting for Model Error in Four-Dimensional Variational Data Assimilation
- A. El Said- Conditioning of the Weak-Constraint Variational Data Assimilation Problem for Numerical Weather Prediction
- M. Ades- Data Assimilation in highly nonlinear systems
- S. Vetra-Carvalho - Properties of the Ensemble Kalman Filter for Convective Scale Numerical Weather Forecasting
- J.A. Waller - Using Observations at Different Spatial Scales in Data Assimilation for Environmental Prediction
- D. Partridge - Numerical Modelling of Glaciers: Moving Meshes and Data Assimilation
- A. Moodey - Instability and regularization for Data Assimilation
- Ruth Petrie - Background error covariance modelling for convective-scale variational data assimilation
- Stephen A. Haben - Conditioning and Preconditioning of the Minimisation Problem in Variational Data Assimilation
- Alison Fowler - Assimilation of mis-placed boundary layer features
- Polly J. Smith - Joint state and parameter estimation using data assimilation with application to morphodynamic modelling
- Laura M. Stewart - Correlated observation errors in data assimilation
- Gillian Baxter - 4D-Var for high resolution, nested models with a range of scales
- David Livings - Evaluation of stratospheric water vapour analyses using a solar occultation instrument
- James Percival - Displacement Assimilation for Ocean Models
- David Katz - The Application of PV-based Control Variable Transformations in Variational Data Assimilation
- Carole Peubey - Assimilation of ENVISAT data in an advanced data assimilation systems
- Rossana Dragani - On the assimilation of the full information content of satellite observations
- L. Watkinson - Four dimensional variational data assimilation for Hamiltonian problems
- T.H.A. Frame - Methods of targeting observations for the improvement of weather forecast skill
- S.J. Fletcher - High Order Balance Conditions using Hamiltonian Dynamics for Numerical Weather Prediction
- Christine Johnson - Information Content of Observations in Variational Data Assimilation
- M.A. Wlasak - The Examination of Balanced and Unbalanced Flow using Potential Vorticity in Atmospheric Modelling
- M. Martin - Data Assimilation in Ocean circulation models with systematic errors
- A.S. Lawless - Development of linear models for data assimilation in numerical weather prediction.