2019 Joint NCEO/ECMWF Intensive Course on Data Assimilation
Data Assimilation Training in collaboration with the ECMWF 2019, Univ. of Reading, 5-8th March 2019
Introduction
This 4-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. The course also provides hands-on computer practicals to see the methods in action and gain a better understanding of their working. 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 11-15 March 2019.
Link to all DARC courses
Overview
An overview of the subjects covered is given below, including some supplementary material covering the basic mathematics. A map of Reading, Whiteknights campus can be found here.
- Introduction to Data Assimilation
- Co-variances
- Variational Methods: Theory and practical issues
- Computer practicals Variational methods
- Ensemble Kalman Filter Methods: Theory and practical issues
- Computer practicals Ensemble Kalman filters
- Non-linear data assimilation and Particle Filters: Theory and practical issues
- Computer practicals Particle filters
- Hybrid Methods: Theory and practical issues
- Computer practicals Hybrid methods
- When to use which method
Supplementary Material
Timetable (pdf, v5)
Campus map (pdf)
Setting-up for the computer practicals (pdf)
Maths primer (pdf)
Useful linear algebra (pdf)
Inner and outer products (pdf)
Basic statistical concepts (pdf)
Notation (docx)
List of suggested references (pdf)
The course is a combination of lectures and computer practicals.
Campus map (pdf)
Setting-up for the computer practicals (pdf)
Maths primer (pdf)
Useful linear algebra (pdf)
Inner and outer products (pdf)
Basic statistical concepts (pdf)
Notation (docx)
List of suggested references (pdf)
Information
Click on the links to download lecture/practical material (where available). Some material may be amended up to the time of the lectures.
Handouts will be provided by the lecturers.
Timetable - Tuesday 5th March
| Palmer building, room G04 (building No. 26, grid C4 on campus map) | ||
| 09:00 – 09:30 | Registration with coffee/tea | |
| 09:30 – 10:45 | Lecture: Introduction to data assimilation (pdf) | Amos Lawless |
| Edith Morley building, room 128 (building No. 1, grid C3 on campus map) | ||
| 11:00 – 11:15 | Coffee/tea | |
| 11:15 – 12:45 | Lecture: Variational data assimilation methods (pdf) | Ross Bannister |
| 12:45 – 13:45 | Lunch | |
| Agriculture building, room GL20-PC (building No. 59, grid D6 on campus map) | ||
| 14:00 – 16:00 | Practical: Variational data assimilation (download zip file) |
Ross Bannister / Polly Smith |
| Palmer building, room G02 (building No. 26, grid C4 on campus map) | ||
| 16:15 – 16:30 | Coffee/tea |
|
| 16:30 – 17:30 | Lecture: Variational data assimilation, practical issues (pdf) | Amos Lawless |
| Maths building, common room (building No. 4, grid D4 on campus map) | ||
| 17:30 | Icebreaker | |
Timetable - Wednesday 6th March
| Palmer building, room G06 (building No. 26, grid C4 on campus map) | ||
| 09:15 – 10:45 | Lecture: Ensemble Kalman filter theory (pdf) | Alison Fowler |
| Knight building, room 133 (building No. 53, grid B4 on campus map) | ||
| 11:00 – 11:15 | Coffee/tea | |
| 11:15 – 12:15 | Lecture: Ensemble Kalman Filter, practical issues (pdf) | Sanita Vetra-Carvalho |
| 12:15 – 12:45 | Lecture: Introduction to toy models (pdf) | Sanita Vetra-Carvalho |
| 12:45 – 13:45 | Lunch | |
| Allen laboratory, room G10-PC (building No. 48, grid C4 on campus map) | ||
| 14:00 – 16:00 | Practical: Ensemble Kalman Filter (download zip file) |
Sanita Vetra-Carvalho / Natalie Douglas |
| Palmer building, room G02 (building No. 26, grid C4 on campus map) | ||
| 16:15 – 16:30 | Coffee/tea |
|
| 16:30 – 17:30 | Applications lecture: Studying the impact of using correlated observation errors in the Met Office 1D-Var system (pdf) | Jemima Tabeart |
Timetable - Thursday 7th March
| Edith Morley building, room 128 (building No. 1, grid C3 on campus map) | ||
| 09:15 – 10:30 | Lecture: Hybrid methods, theory (pdf) | Javier Amezcua |
| 10:30 – 11:00 | Coffee/tea | |
| 11:00 – 12:00 | Lecture: Hybrid methods, practical issues (pdf as above) | Javier Amezcua |
| 12:00 – 12:45 | Lecture: When to use what (pdf) | Ross Bannister |
| 12:45 – 13:45 | Lunch | |
| Palmer building, room G05B-PC (building No. 26, grid C4 on campus map) | ||
| 14:00 – 16:00 | Practical: Hybrid methods (download zip file) |
Alison Fowler / Javier Amezcua |
| Palmer building, room G03 (building No. 26, grid C4 on campus map) | ||
| 16:00 – 16:30 | Coffee/tea |
|
| 16:30 – 17:30 | Applications lecture: Coupled data assimilation (pdf) | Polly Smith |
| Venue: Zerodegrees, microbrewery and restaurant, 9 Bridge Street Reading, RG1 2LR (google map) (pdf map) |
||
| 19:00 | Course meal | |
Timetable - Friday 8th March
| Miller building, room G19 (building No. 49, grid C3 on campus map) | ||
| 09:15 – 10:45 | Lecture: Particle filter, theory (pdf) | Javier Amezcua |
| Chancellors building, room G08 (building No. 259, grid C3 on campus map) | ||
| 11:00 – 11:15 | Coffee/tea | |
| 11:15 – 12:45 | Lecture: Particle filter, practical issues (pdf) | Polly Smith |
| Chancellors building, room G01 (building No. 259, grid C3 on campus map) | ||
| 13:00 – 13:45 | Lunch | |
| Allen laboratory, room G10-PC (building No. 48, grid C4 on campus map) | ||
| 14:00 – 16:00 | Practical: Particle filter (Download zip file Bayes.zip, PFs.zip) |
Sanita Vetra-Carvalho / Javier Amezcua |
| Certificates | Sarah Dance | |
