Research
My research interests lie in the mathematical theory of data
assimilation techniques for environmental prediction. Projects I am currently
involved in include:
- Data assimilation for coupled atmosphere-ocean models
- PDE constrained optimization techniques and
preconditioning for variational data assimilation
- Model error in data assimilation
- Correlated observation errors in data assimilation.
Research group
Current research
students
·
Laura
Risley, 2021 – (with Matthew Martin, Met Office, and
Anthony Weaver, CERFACS).
Assimilation
of future ocean-current measurements from satellites.
·
Simon
Driscoll, 2022 - (with Alberto Carrassi,
Laurent Bertino, Marc Boquet, Julien Brajard, Einar Olason).
Data assimilation and machine learning for emulating thermodynamics in the Arctic
sea-ice.
Former research
staff
- Dr Caroline Boess, 2009 – 2011
- Dr Roel Stappers, 2012 – 2013
- Dr Alison
Fowler, 2012 - 2015
- Dr Kat Howes, 2016
- Dr Polly Smith, 2012 – 2018, 2020 – 2021
- Dr Tsz Yan Leung, 2020 – 2022
- Dr Shaerdan Shataer, 2021 – 2023
- Dr Maria
Valdivieso da Costa, 2022 - 2023
- Dr
Azin Wright, 2023
Former research
students
- Laura Watkinson (nee Stanton),
2002 - 2006 (with Nancy Nichols and Ian Roulstone)
Four Dimensional Variational
Data Assimilation for Hamiltonian Problems
- David Katz, 2003 - 2007 (with Nancy Nichols, Ross
Bannister and Mike Cullen)
The application of PV-based control variable transforms in
variational data assimilation
- Gillian Baxter, 2005 - 2009 (with Sarah
Dance, Nancy Nichols and Sue Ballard)
4D-Var
for high resolution, nested models with a range of scales
- Stephen Haben, 2007 - 2011 (with Nancy Nichols, Mike Cullen, Gordon
Inverarity)
Conditioning
and preconditioning of the minimisation problem in variational data
assimilation
- Joanne Waller (nee Pocock), 2009 - 2013 (with Sarah
Dance, Nancy Nichols)
Using
observations at different spatial scales in data assimilation for
environmental prediction
- Alex Moodey, 2009 - 2013 (with Roland Potthast, Peter Jan van Leeuwen)
Instability
and Regularization for Data Assimilation
- Adam El-Said, 2011 – 2015 (with Nancy
Nichols)
Conditioning of the Weak-Constraint Variational
Data Assimilation Problem for Numerical Weather Prediction
- Kat Howes, 2012 – 2016 (with Alison Fowler)
Accounting for model error in four-dimensional variational data
assimilation
- Ewan Pinnington, 2013 – 2017 (with Tristan Quaife, Sarah
Dance and Nancy Nichols)
Understanding the information content in diverse observations of forest
carbon stocks and fluxes for data assimilation and ecological modelling
- Jemima Tabeart, 2016 – 2019
(with Sarah Dance, Nancy Nichols and Joanne Waller)
On the treatment of correlated observation errors in
data assimilation.
- Jason Otkin (p/t, working
away), 2015 - 2020 (with Roland
Potthast)
New methods for assimilation of remote sensing satellite observations for
atmospheric and surface predictions.
- Amsalework Ejigu, 2015 –
2020 (with Tristan Quaife)
Ensemble generation in land surface
models for soil moisture data assimilation.
- Maha Kaouri, 2016 – 2021
(with Coralia Cartis
and Nancy Nichols)
Novel optimization methods for data
assimilation.
- Ieva Dauzickaite, 2018 –
2022 (with Peter Jan van Leeuwen and Jennifer Scott)
On the preconditioning for weak
constraint four-dimensional variational data assimilation
- Devon Francis, 2019 – 2023 (with Alison Fowler)
Bias
correction of satellite data in data assimilation for numerical weather
prediction