Data Assimilation Training in collaboration with the ECMWF

Intensive course on advanced data-assimilation methods

This 2-day intensive course on advanced data-assimilation methods will be given by members of the Data Assimilation Research Centre and the National Centre for Earth Observation. The course will provide an introduction to all data-assimilation methods used in numerical weather prediction, including the latest developments. All methods will be derived from a common framework to provide an overview of the assumptions and hence applicability of the different methods. For those unfamiliar with data assimilation, or those who are keen to develop a deeper understanding of data assimilation methods, this course is a solid preparation for the main Data Assimilation ECMWF course held on 7-11 March 2016.

Final timetable is below. A map of Reading, Whiteknights campus can be found here.

Supplementary Material

Timetable (docx)
Maths primer (pdf)
Useful linear algebra (pdf)
Notation (docx)
Toy models (pdf)

Timetable of Lectures

Thursday 3rd March, Morning (Lyle G74, building 32 on campus map)

09:30 - 10:00 Registration with coffee/tea
10:00 - 11:00 Introduction to Data Assimilation (pdf) Javier Amezcua
11:00 - 11:30 Coffee/tea
11:30 - 12:15 Introduction to Data Assimilation (continued) Javier Amezcua
12:15 - 13:00 Lunch

Thursday 3rd March, Afternoon (URS 2s14, building 33 on campus map)

13:00 - 14:30
Variational DA - theory
Variational DA - practice
Amos Lawless
14:30 - 15:00 Coffee/tea
15:00 - 17:00
Variational DA - practice (continued)
Amos Lawless and Ross Bannister
17:00 Drinks and canap├ęs

Friday 4th March, Morning (Maths 113, building 4 on campus map)

09:00 - 10:00 Ensemble Kalman Filter - Prinicples (pptx) (pdf) Alison Fowler
10:00 - 10:30 Coffee/tea
10:30 - 11:30 Ensemble Kalman Filter - Practicalities (pdf) Ross Bannister
11:30 - 12:00 Coffee/tea

Friday 4th March, Afternoon (Miller G19, building 49 on campus map)

12:00 - 13:00
Hybrid methods (ppt) (pdf)
Peter Jan van Leeuwen
13:00 - 14:00 Lunch
14:00 - 15:00 Hybrid methods (continued) Peter Jan van Leeuwen
15:00 - 15:30 Coffee/tea
15:30 - 16:30 Particle filter methods (pdf) Peter Jan van Leeuwen
16:30 End of course, Certificates
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Information

Course leader

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Background error covariance matrix for a tropospheric temperature profile


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