NCEO Data Assimilation Training

In 2010-2012 we ran a training programme to help and advise National Centre for Earth Observation (NCEO) researchers on data assimilation. The courses consist of both lectures on the theory of data assimilation and computer practicals.

  • Documentation for the computer practical on 4DVar can be found here.
  • Documentation for the computer practical on the ensemble Kalman filter can be found here.

      2012

      17-21 December, Indian Institute for Remote Sensing
      This was a 5-day 'summer school' on data assimilation given at the IIRS by members of DARC as part of a collaboration agreement between the UK Space Agency and the Indian Space Research Organisation. Below is a list of the given talks and auxiliary material provided.
      David Livings
      From remote sensing to data assimilation
      Peter Jan van Leeuwen
      Introduction to data assimilation
      Javier Amezcua
      The inverse problem and variational methods
      Javier Amezcua
      Ensemble methods
      Peter Jan van Leeuwen
      Particle filters for geophysical applications I: theory
      Peter Jan van Leeuwen
      Particle filters for geophysical applications II: examples
      Tristan Quaife
      Data assimilation to improve retrievals of land surface parameters
      Peter Jan van Leeuwen
      Overview of data assimilation methods
      Tristan Quaife
      Introduction to phyton for data assimilation
      Javier Amezcua
      Explanation of toy models used (Lorenz 1963, 1996)
      16-18 April, University of Leicester.
      This year the data assimilation training will form part of the NCEO Early Career Science Conference.

      2011

      11-12 July, University of Reading
      This was a 3 day course designed to give interactive help on individual's problems in data assimilation. Below is a list of the talks given.
      Peter Jan van Leeuwen
      Introduction to data assimilation
      Ross Bannister
      Variational data assimilation and forecast error statistics
      Amos Lawless
      Implementation issues in variational data assimilation
      Stefano Migliorini
      Ensemble methods for data assimilation
      Peter Jan van Leeuwen
      Particle filters in high dimensional geophysical systems
      Alison Fowler
      Measures of observation impact

      2010

      5-7 July, University of Surrey
      This 3 day course provided an introduction to data assimilation for scientists working in a broad range of areas under NCEO.
Background error covariance matrix for a tropospheric temperature profile

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