NERC Data Assimilation Training

2014 Data assimilation and visualisation in environmental sciences - an advanced training course

15-19 September, University of Reading
This course was aimed at PhD students and early career researchers and included lectures and computer practucals on the following topics
  • Introduction to the basics of data assimilation
  • Variational data assimilation
  • ensemble Kalman filters and hybrid methods
  • particle filters and Markov Chain Monte-Carlo methods
  • data visualisation
Fully funded places are available.
Below is a list of the given talks and auxiliary material provided.
General Information
Course programme
Mathematics and statistics primer
Group photo
Lectures and practicals
Amos Lawless
Lecture 1: Introduction to data assimilation
Ross Bannister
Lecture 2: Further introduction - including covariance functions
Editable files
Polly Smith
Practical 1: Covariance functions in a 1D system
Phil Browne
Lecture 3:: Introduction to models and Archer
Nancy Nichols
Lecture 4:: Theory of variational data assimilation
Polly Smith
Practicals 2/3: Variational methods
Amos Lawless
Lecture 5: Variational assimilation - practical considerations
Alison Fowler
Lecture 6: Observation impact
Sarah Dance
Lecture 7: Ensemble Kalman Filter theory
Sanita Vetra-Carvalho
Practical 4: Ensemble Kalman Filter
Jon Blower and Debbie Clifford
Lecture 8: Visualization: some principles and examples
Jon Blower and Debbie Clifford
Practical 5: Visualization
Ross Bannister
Lecture 9: Ensemble Kalman Filter practical considerations
Editable files
Peter Jan van Leeuwen
Lecture 10: Particle filters and Markov chain Monte-Carlo
Peter Jan van Leeuwen
Lecture 11: Particle filters and Markov chain Monte-Carlo (continued)
As above.
Phil Browne
Practical 6:: Particle filters and Markov chain Monte-Carlo
Tristan Quaife
Lecture 12: Data assimilation for a carbon cycle model
Tristan Quaife
Practical 7: Ensemble Kalman filter and particle filter using DALEC carbon cycle model
Peter Jan van Leeuwen
Lecture 13: Summary of data assimilation methods and what to use when
Background error covariance matrix for a tropospheric temperature profile

Please note

This is an obsolete web site, which is kept for reference purposes only. The new DARC web site is here

Please update your bookmarks.

Page navigation