Attendees
Students from ENM only - no other OpenIFS users this time.
Expect about 20-25 participants.
Students background: 1st yr basic meteorology, 2nd yr statistical tools / numerics (they do small modelling project)
Work in groups: 5 x 4 persons, 2 per PC.
Facilities
PC running CentOS (based on redhat enterprise)
Language
Students have asked for more lessons in English.
English teachers will be there. Encourage students to write and speak in English.
Topic
Storm Nadine. Case of extratropic transition & severe weather over France.
Paper: Pantillon, F., Chaboureau, J.-P. and Richard, E. (2015), Vortex–vortex interaction between Hurricane Nadine (2012) and an Atlantic cut-off dropping the predictability over the Mediterranean. Q.J.R. Meteorol. Soc.. doi: 10.1002/qj.2635 http://onlinelibrary.wiley.com/doi/10.1002/qj.2635/abstract
Sensitivity - two main issues : Model resolution - to model interaction; Convection processes.
Could focus on clustering of the ensemble ? Different algorithms for clustering?
Tubing .v. clustering. see: http://journals.ametsoc.org/doi/abs/10.1175/1520-0434%281999%29014%3C0741%3ATAATCF%3E2.0.CO%3B2 Ask Linus about this.
TODO
Decide on forecasts: resolution, start date and lengths
PCA in Metview - speak to Linus (he says he has some Fortran code). Or could use R
Try to reproduce the plots in the article.
Notes
SCM exercises - sensitvity of the model to changing physics. Focus on convection, initiation of deep convection. Stochastic physics, impact on convection? impact of convective scheme?
Do we want the students to run OpenIFS? - probably not enough time / resources
Interested in stochastic physics / ensemble methods.
Can we get observations from HyMEX to add to the metview exercises?
Focus on ensemble modelling and predictability.
Try to include some Hymex observations in metview VM?
Some questions to include:
- how to weight extreme events in the ensemble?
- what's the best way of doing ensembles if dont' want to miss extremes?
Travel & local arrangements
ENM is approx 20mins by car from the airport.