Ph.D. theses
Below is a list of PhD theses carried out in DARC at the University of Reading.
2023
- D. Francis – Bias Correction of Satellite Data in Data Assimilation for Numerical Weather Prediction
- N. Williams – Arctic Sea Ice Reduction:Gaining New Knowledge from Data Assimilation
- H. Ren – Data Assimilation with Autocorrelated Model Error
2022
- I. Daužickaitė – On the preconditioning for weak constraint four-dimensional variational data assimilation
2021
- Z.N. Bell – Using urban observations in numerical weather prediction: mathematical techniques for multi-scale data assimilation
- L.A. Mansfield – Machine learning, emulation and Bayesian dimension reduction for climate change projection
2020
- J. Alswaihli – Iteration of Inverse Problems and Data Assimilation Techniques for Neural Field Equations
- A.A. Ejigu – Ensemble generation in land surface models for soil moisture data assimilation
2019
- E.S. Cooper – Improving flood prediction using data assimilation
- J.M. Tabeart – On the treatment of correlated observation errors in data assimilation
2018
- F. Rodrigues Pinheiro – Nonlinear data assimilation using synchronisation in a particle filter
2017
- M. Goodliff – Hybrid data assimilation methods with applications to convective scale modelling
- M. Lang – Model improvement using data assimilation
- A. Mirza – On the Utilization of Aircraft Derived Observations for Operational Meteorology and Numerical Weather Prediction
- E.M. Pinnington – Understanding the information content in diverse observations of forest carbon stocks and fluxes for data assimilation and ecological modelling
2016
2015
- A. El Said – Conditioning of the Weak-Constraint Variational Data Assimilation Problem for Numerical Weather Prediction
2014
- Á. Periáñez Santiago – Ensemble data assimilation for convective-scale numerical weather prediction models : from theoretical elements to assimilation of satellite brightness temperatures
2013
- 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
- C.P.F. Prates – Assimilation of IASI measurements in the presence of clouds
2012
- R.E. Petrie – Background error covariance modelling for convective-scale variational data assimilation
2011
- S.A. Haben – Conditioning and Preconditioning of the Minimisation Problem in Variational Data Assimilation
2010
- A.M. Fowler – Assimilation of mis-placed boundary layer features
- P.J. Smith – Joint state and parameter estimation using data assimilation with application to morphodynamic modelling
- L.M. Stewart – Correlated observation errors in data assimilation
2009
- G. Baxter – 4D-Var for high resolution, nested models with a range of scales
- D. Livings – Evaluation of stratospheric water vapour analyses using a solar occultation instrument
2007
- J. Percival – Displacement Assimilation for Ocean Models
- D. Katz – The Application of PV-based Control Variable Transformations in Variational Data Assimilation
2006
- C. Peubey – Assimilation of ENVISAT data in an advanced data assimilation systems
- R. 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
- D.E. Brown – Preconditioners for Inhomogeneous Anisotropic Problems with Spherical Geometry in Ocean Modelling
2003
- S.J. Fletcher – High Order Balance Conditions using Hamiltonian Dynamics for Numerical Weather Prediction
- C. Johnson – Information Content of Observations in Variational Data Assimilation
2002
- M.A. Wlasak – The Examination of Balanced and Unbalanced Flow using Potential Vorticity in Atmospheric Modelling
2001
- 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.