3rd Summer School: "Crash Course on Data Assimilation - Theoretical Foundations and Advanced Applications with a focus on ensemble methods"

The 5-days online school aims at PhD-level students and early-stage scientists intending to apply data assimilation as part of their research. The school should also be useful for students with beginner or little notions of data assimilation. The crash course will cover the basic concepts of data assimilation, focusing on ensemble methods, illustrated with real-scale / operational applications and with practical exercises. This 3rd edition will also include notions of Machine Learning of relevance for data assimilation.

The event is organised by NERSC and NORCE in the framework of the projects DIGIRES and REDDA from the Norwegian Research Council and supported by the climate research school CHESS. All classes and practical sessions will be held online on Teams.

The Zoom link follows
https://norceresearch-no.zoom.us/j/66397834183?pwd=K0VBaGNaUUd5Y0xCSEdOe...

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Meeting ID: 663 9783 4183
Passcode: 839111

Link to Q&A page:
https://hackmd.io/@yingyue/rkw01k-KO

The temporary list of topics are the following:

• Geir Evensen (NORCE & NERSC, Norway): Basic principles of inference and theory of variational and sequential Gaussian analysis, from the EnKF to iterative smoothers. https://github.com/geirev/Presentations/ (Slides and Fortran90 codes)
• Laurent Bertino (NERSC, Norway): Background statistics, spatial covariances, anamorphosis for non Gaussian variables. https://nerscno-my.sharepoint.com/:b:/g/personal/laurent_bertino_nersc_n... (Geostatistics) https://nerscno-my.sharepoint.com/:p:/g/personal/laurent_bertino_nersc_n... (Applications to TOPAZ)
• Alberto Carrassi (Uni. Reading, UK): Data assimilation for chaotic dynamics
• Julien Brajard (NERSC, Norway): Machine Learning with exercises. https://github.com/nansencenter/ml-crashcourse
• Rossella Arcucci (Imperial College London, UK): Data assimilation with Machine Learning
• Patrick Raanes (NORCE, Norway): Exercises and illustrations using the DA Python platform DAPPER https://github.com/nansencenter/DA-tutorials
• Yue (Michael) Ying (NERSC, Norway): Data assimilation with multiscale alignment, with practical session on https://github.com/nansencenter/msda_crashcourse
• Francois Counillon (NERSC, Norway): Data assimilation for climate prediction https://nerscno-my.sharepoint.com/:p:/g/personal/laurent_bertino_nersc_n...
• Annette Samuelsen (NERSC, Norway): Data assimilation for marine ecosystem https://nerscno-my.sharepoint.com/:b:/g/personal/laurent_bertino_nersc_n... (Part I), https://nerscno-my.sharepoint.com/:b:/g/personal/laurent_bertino_nersc_n... (Part II)
• Mohammad el Gharamti (NCAR, USA): Data assimilation in hydrology and streamflow forecasting https://drive.google.com/file/d/1ehvTOfLZeg7nzhbK-Lz88c-ULyjEkkxZ/view?u...

A preliminary agenda is attached in the bottom of the page:

• Mon. 31st May: Theory of data assimilation and practical exercises (G. Evensen, P. Raanes)
• Tue. 1st June: Geostatistics (L. Bertino).
• Tue. 1st June: Pico Session 1 (13:00 - 14:00, Pico Session 2 is cancelled)
  • A. Bernigaud: Lp-norm regularization in 4D-var.
  • B. Dufée: High-resolution obs. in stochastic ocean model.
  • I. Siviers: Sea ice freeboard assimilation.
  • S. Cheng: EnKF in Lagrangian sea ice model.
• Wed. 2nd June: Multi-Scale data assimilation (Y. Ying) and Machine Learning (J. Brajard) with tutorials.
• Wed. 2nd. June Pico Session "3" (14:30 - 15:00)
  • M .Peyron: Data assimilation with deep learning.
  • Y. Guimard: Weather forecast with stratospheric balloons.
• Thu. 3rd. June Pico Session "4" (9:30 - 10:15)
  • E. George: Avoiding satellite collisions.
  • A. Filoche: Bridging variational data assimilation and deep learning.
  • K. Lee: Reservoir modeling with ES-MDA and machine learning (video on https://mail.kongju.ac.kr/mail/downloadBigAttach.do?param=%2BNyYZ8aWN%2B...).
• Thu. 3rd June: Applications of data assimilation (F. Counillon, A. Samuelsen, M. el Gharamti)
• Fri. 4th June: Machine Learning (R. Arcucci), Chaotic dynamics (A. Carrassi).

Days will start at 9:30 and end at 16:00 (CET) with coffee breaks and a 1-hour break from 12:00 to 13:00.
The workshop will correspond to about 25 hours of work for students and count as one ECTS credit.

There are no fees associated with the school. Students are encouraged to prepare a 1-minute presentation of their research topic.

The deadline for applications was April, 1st 2021.

The crash-course is organised in conjunction with the International EnKF workshop 2021 (https://enkf.norceprosjekt.no/home) taking place online on June 7-9, 2021. Participants to the Crash Course on DA are strongly encouraged to attend the workshop too.

The organizing committee:

Laurent Bertino (NERSC, Bergen, Norway)

Julien Brajard (NERSC, Bergen, Norway)

Patrick N. Raanes (NORCE, Bergen, Norway)

Geir Evensen (NORCE and NERSC, Bergen, Norway)

Yue (Michael) Ying (NERSC, Bergen, Norway)

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