Research

My research interests lie in the mathematical theory of data assimilation techniques for environmental prediction. Projects I am currently involved in include:

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

Former research students

  1. Laura Watkinson (nee Stanton), 2002 - 2006 (with Nancy Nichols and Ian Roulstone)
    Four Dimensional Variational Data Assimilation for Hamiltonian Problems
  2. David Katz, 2003 - 2007 (with Nancy Nichols, Ross Bannister and Mike Cullen)
    The application of PV-based control variable transforms in variational data assimilation
  3. Gillian Baxter, 2005 - 2009 (with Sarah Dance, Nancy Nichols and Sue Ballard)
    4D-Var for high resolution, nested models with a range of scales
  4. Stephen Haben, 2007 - 2011 (with Nancy Nichols, Mike Cullen, Gordon Inverarity)
    Conditioning and preconditioning of the minimisation problem in variational data assimilation
  5. Joanne Waller (nee Pocock), 2009 - 2013 (with Sarah Dance, Nancy Nichols)
    Using observations at different spatial scales in data assimilation for environmental prediction
  6. Alex Moodey, 2009 - 2013 (with Roland Potthast, Peter Jan van Leeuwen)
    Instability and Regularization for Data Assimilation
  7. Adam El-Said, 2011 – 2015 (with Nancy Nichols)
    Conditioning of the Weak-Constraint Variational Data Assimilation Problem for Numerical Weather Prediction
  8. Kat Howes, 2012 – 2016 (with Alison Fowler)
    Accounting for model error in four-dimensional variational data assimilation
  9. 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
  10. Jemima Tabeart, 2016 – 2019 (with Sarah Dance, Nancy Nichols and Joanne Waller)
    On the treatment of correlated observation errors in data assimilation.
  11. 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.
  12. Amsalework Ejigu, 2015 – 2020 (with Tristan Quaife)
    Ensemble generation in land surface models for soil moisture data assimilation.
  13. Maha Kaouri, 2016 – 2021 (with Coralia Cartis and Nancy Nichols)
    Novel optimization methods for data assimilation.
  14. Ieva Dauzickaite, 2018 – 2022 (with Peter Jan van Leeuwen and Jennifer Scott)
    On the preconditioning for weak constraint four-dimensional variational data assimilation
  15. Devon Francis, 2019 – 2023 (with Alison Fowler)
    Bias correction of satellite data in data assimilation for numerical weather prediction