Training Course in Data Assimilation
LOCATION
Whiteknights, Reading RG6 6AH
In collaboration with the ECMWF, DARC at the University of Reading and NCEO will be offering an intensive data assimilation training course before the ECMWF’s Spring course.
5-8 March 2019: 4-day intensive course on advanced data-assimilation methods. This course will provide an introduction of all data-assimilation methods used in numerical weather prediction, including the latest developments. All methods will be derived from a common framework to allow a full overview of the assumptions and hence applicability of the different methods. Furthermore, participants will get the opportunity to apply data-assimilation methods to small and large numerical models, to obtain hands-on experience with the different methods and deepen understanding of their working and limitations. For those unfamiliar with data assimilation, or those who are keen to obtain a deeper understanding, this course is a solid preparation for the main ECMWF course.
Participation in the course is free. To apply for a place, please send an email to me (a.s.lawless@reading.ac.uk), with a short description of your current research interests (around 50-100 words) by Friday 18th January 2019. Applications will be looked at as they arrive, until all the places have been allocated.
For further information please see
https://research.reading.ac.uk/met-darc/training/training-courses/
In collaboration with the ECMWF, DARC at the University of Reading and NCEO will be offering an intensive data assimilation training course before the ECMWF’s Spring course.
5-8 March 2019: 4-day intensive course on advanced data-assimilation methods. This course will provide an introduction of all data-assimilation methods used in numerical weather prediction, including the latest developments. All methods will be derived from a common framework to allow a full overview of the assumptions and hence applicability of the different methods. Furthermore, participants will get the opportunity to apply data-assimilation methods to small and large numerical models, to obtain hands-on experience with the different methods and deepen understanding of their working and limitations. For those unfamiliar with data assimilation, or those who are keen to obtain a deeper understanding, this course is a solid preparation for the main ECMWF course.
Participation in the course is free. To apply for a place, please send an email to me (a.s.lawless@reading.ac.uk), with a short description of your current research interests (around 50-100 words) by Friday 18th January 2019. Applications will be looked at as they arrive, until all the places have been allocated.
For further information please see
https://research.reading.ac.uk/met-darc/training/training-courses/