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Attendees

Students from ENM only - no other OpenIFS users this time.

There will be 22 ENM students attending the workshop : 18 from the "Statistics" and the "Computing" options,  4 from the "Forecasting" option.

Students background: 1st yr basic meteorology, 2nd yr statistical tools / numerics

Work in groups: 5 x 4 persons, 2 per PC.

We expect 1 guest from National Center for Meteorological Research, National Meteorological Service, Morocco.

Contents

Facilities

PC running CentOS (based on redhat enterprise) - 64bit, 8GB RAM, 30GB free in /tmp

Student accounts limited to 5GB - put the VM image to /var/tmp on each PC. As long as this isn't deleted during the course the students wouldn't lose their work.

28/4: Routing issue on class PCs means we need a VM all the files already installed to provide via ftp.

2015 VM has been tested ok on the PCs. Shared folders work ok. So the workshop files & VM could be downloaded separately and the workshp files copied to the VM via the shared folder.


Room C059

 

Language

English used predominantly.

English teachers will be there. Encourage students to write and speak in English as students have asked for more lessons in English.

Tutorial: write in English

Travel & local arrangements

ENM is approx 20mins by car from the airport.

Topic

Storm Nadine. Case interaction between Hurricane Nadine and cut-off low, ensemble uncertainty & 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 of the storm and cut-off low;  Convection processes.

Linus says ensemble is sensitive to SST. This particular case was in fact used as part of the argument for coupling the ocean model (NEMO) from day 1 in the ensemble forecast rather than day 10 as used in 2012; days 1-9 used persisted SST anomalies.

Datasets

From last year's workshop, each field ~ 100Kb. Total size of 'data' and 'data_ls' directories was:5.5G, 1.4G respectively , total of 7Gb.

2015 workshop VM, df reports 40Gb /, 28% used (27G)

Priority is the analyses, oper ens & expt gioi

Analyses:

20120915 00Z (single start date), 10 days (to 20120925 00Z),  6hrly  (note start date for AN is different to forecasts)

If data size is an issue only use MSLP & T2m for 00Z 15th - 18Z 19th, with all fields from 20th to 25th.

HRES:

20120920 00Z, 5 days (to 20120925 00Z), 6hrly, native grid

Same fields as analysis (see below)

Operational ensemble as used in 2012:

TL639L91. 20120920 00Z (single start date), 5 days (to 20120925 00Z), 6hrly (all members)

Same fields as analysis

Current operational ensemble (with NEMO on day 1) (expt id: gioi)

TCo639L91. 20120920 00Z (single start date), 5 days (to 20120925 00Z), 6hrly (all members)

Same fields as analysis

Uncertainty runs:

TL319L91. No NEMO coupling, wave model off (OpenIFS config)

May not get time in workshop to look at these but would like to have the data available.

(a) EDA/SV/SPPT/SKEB - exptid 'gik3'

(b) EDA/SV only - exptid 'gin5'

(c) SPPT/SKEB only - exptid 'gin7'

Dates/steps/fields as above.

 

Grid resolution

Use native grid of analysis/forecasts if at all possible. Revise if total data is going to be more than 10Gb.


Fields

MSLP, T2m, 10m winds, 6hrly accum. total precipitation,

SST : from analysis, HRES, oper. ensemble and gioi (to compare)

Geopotential, temperature,  potential temperature & equivalent potential temperature, winds (U/V), relative humidity (rather than sp. hum.),  @ 200, 500, 700, 850 hPa

also 925hPa for winds & humidity only

PV + wind (U/V) @ 330 K isentrope (see Fig.10 in paper)

Geopotential/winds at 2PVU (do we archive these?)


Vertical x-sections

Potential temperature, potential vorticity, winds, humidity, vertical vel. -- needs reviewing, would need all pressure levels & will be too much data? PV + winds would be priority.

Request is for: all levels for : PV, winds, vertical velocity (if poss), rel. humidity, potential temperature (last two if space permits).

Suggest: if data size is a problem, omit the reduced resolution uncertainty runs.

Good if students could use metview to plot x-section through centre of storm, finding the storm centre themselves, perhaps modifying macros themselves ?

If too much data, make the full level data only available at specific times (e.g. daily). Failing that pre-plot images.

 

Observational data

  • possibly synop data to add to plot similar to fig2?


Data domain

Extract data similar to domain in figure 1 but suggest crop 50W - 20E / 30N - 65N (adjust to suitable aspect ratio)

 

Other data

Satellite images to be provided by ENM & included on VM. Due to licensing restrictions we can't provide the GRIB data on the VM.

Perhaps we can overlay geotagged TIFs?

 

Plots

Icons

  • 1x1, 2x2
  • Difference maps (an-fc, ens-control)
  • stamp maps
  • RMSE curves geopotential (500hPa), RMSE plumes
  • spaghetti plots
  • nadine track icon
  • PCA (new)


Horizontal / isobaric maps

Students should do at least:

  • MSLP + 10m winds / T2m -> interesting for tracking Nadine & primary circulation
  • Geopotential + temperature at 500hPa --> mid-trop localization of the cold cutoff and warm Nadine. On the deterministic forecast we should not see Nadine and the cutoff 'meeting' with Nadine moving eastward.
  • Geopotential + temperature at 850hPa --> lower level conditions, detection of fronts
  • 1.5 PVU geopotential + winds or 330K potential vorticity (PV) + winds --> upper level conditions, upper level jet and the cutoff signature in PV


From Frédéric: (15/Mar)


SCM:

I have the radiation exercices and convection exercices from previous workshops. It could be nice to look at the convective tendencies in Nadine's deep convection to illustrate of the convection scheme works. I am sure Peter Bechtold has great ideas about that !


On the second day, François Bouttier can also speak about optimal tresholds to use in order to deal with extremes with convective scale ensembles.

GC: It would be good to add something on this into the exercises?


Notes from Frédéric: (9/Feb)

I just spoke to a colleague of mine teaching statistics. He told me that our second year students that will attend the workshop will have knowledge in PCA and clustering methods via ascending hierarchical classification (with R)

So I think that on Day 2, it would be nice to make them do the PCA for ECMWF t+96 ensemble forecasts (20120920 analysis and forecast for the 20120924, figure 5 of Pantillon), the ascending classification (figure 6) and the clustering (figure 7). We could leave the classification and the clustering as extra questions, to leave room for the stochastic ensemble, the EDA and the class ensemble.

If you want (and if PCA, classification and clustering are difficult to do in Metview) I can see with my colleagues how to do that in R. I will just need the ECMWF data. What do you think ?

I will also think about the interesting plots that we could do to illustrate this case, for example vertical crosssection of potential vorticity.

TODO

  • Decide on forecasts for workshop: resolution, start date(s) and forecast length : all runs start 00UTC 20 Sept 2012
  • Decide what to do about provision of satellite imagery  (ENM to provide images to avoid licensing issues)
  • Extract data from the archive.
  • Run ensemble forecasts
  • Book accommodation
  • Install SCM on OpenIFS VM
  • Get PCA code from Linus & try it
  • Get USB sticks from comms
  • Frédéric to check last year's VM will run on classroom PCs and ensure VirtualBox (or VMware) is installed.
  • Check for observations we might have in the archive for HYMEX that could be used


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?

Can we get observations from HyMEX to add to the metview exercises?.

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?




 

 

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