1. Meteorological Training Course
Horst Böttger
ECMWF
Head of Met Division
Operations Department

2. ECMWF IN A FEW FIGURES Member States: 18 Co-operating States: 7
Employees:
Age: years

3. Member States Austria Luxembourg Belgium Netherlands Denmark Norway
Finland Portugal
France Spain
Germany Sweden
Greece Switzerland
Ireland Turkey
Italy United Kingdom
Co-operation agreements or working arrangements with:
Croatia Czech Republic Hungary Iceland Slovenia Serbia & Montenegro Romania WMO EUMETSAT ACMAD JRC CTBTO (INPE)

4. Organisation of ECMWF COUNCIL DIRECTOR D. Burridge Policy Advisory
Committee
7-18 Members
Scientific Advisory
Committee
12 Members
COUNCIL
18 Member States
Technical Advisory
Committee
18 Members
Finance
Committee
7 Members
DIRECTOR
D. Burridge
(UK)
Advisory Committee of Co-operating States
6 Members
Advisory Committee on Data Policy
8-18 Members
Operations
D. Marbouty
(France)
Administration
G. Schultes
(Germany)
Research
P. Bougeault
(France)
Computer Division
W. Zwieflhofer
(Austria)
Meteorological Division
H. Böttger
(Germany)
Model Division
M. Miller
(UK)
Data Division
A. Simmons
(UK)
Probabilistic Forecasting and Diagnostics Division
T. Palmer
(UK)

5. ECMWF Budget 2003 GNP Scale 2003 Revenue 2003
Member States’ contributions £24,618,500
Hungary, Iceland, Croatia, Slovenia, Czech Republic £299,400
£24,917,900
Spain 6.47%
Germany 22.73%
France 15.80%
Luxembourg
0.20%
Greece
1.37%
Denmark
1.87%
Ireland
0.85%
Belgium
2.78%
Italy
12.78%
United Kingdom
16.23%
Netherlands 4.33%
Turkey 2.21%
Sweden 2.62%
Other revenue
£820,400
Norway 1.71%
Finland 1.38%
Austria 2.24%
Switzerland 3.08%
Staff contributions
to pensions and
insurance £732,600
Tax on
staff salaries
£3,436,400
Portugal
1.22%
GNP Scale 2003
Total revenue (£29,907,300)

6. ECMWF Objectives
Operational Medium Range forecasting up to 10 days ahead (including waves) with emphasis put on severe weather
R & D activities in forecast modelling
Data archiving and related services
Operational seasonal forecasting up to 6 months ahead
Provision of supercomputer resources
Assistance to WMO programmes
Management of Regional Meteorological Data Communications Network (RMDCN)

7. ECMWF – other activities
Reanalyses (ERA-15, ERA-40)
Boundary conditions for LAM
Data Services
Provision of archival data and products
Provision of software

8. Computer configuration - August 2003

9. Phase 3 of the IBM HPCF
Two identical clusters with 68 p690++ servers each
Nodes for user work:
Each cluster has processor servers for user work
6 of the servers in each cluster have 128 GB memory
All other nodes have 32 GB memory
Processors (Power4+) run at 1.9 GHz (7.6 gigaflops peak)
~25 terabytes of disk per cluster
p-Series High Performance Switch (4 links per server)
Nodes for I/O and networking
2 p690++ servers, each partitioned into several smaller nodes
The number of nodes is an estimate and could go up or down depending on the results of the performance test

10. ECMWF model scores

11. Northern Hemisphere Winter 2003/04 Winter 2002/03
Comparison of ECMWF forecast performance with other NWP centres (Z500 Anomaly correlation) previous winter (left) and last winter 2003/04 (right)

12. Number of used observational data
MODIS winds
GOES WV rad
Add. HIRS
NOAA17
QuikSCAT
Red. Thinning ATOVS
Meteosat WV rad
SBUV & GOME

13. Number of observational data used in the ECMWF assimilation system (with AIRS)
3.6 millions
millions

14. WMO scores: Northern Hemisphere
Day 6
Day 4
Day 2

15. Anomaly correlations of 500hPa height forecasts
Ops 1980
Ops 1980
Ops 2001
Ops 2002/3
ERA 2001
Ops 1980
Ops 2001
ERA 2001
Northern Hemisphere %

17. Your room

19. Point of interest for the research community
Availability of ERA-40
Data server providing on-line free access for research and education
ERA-15
Demeter
ERA-40
ENACT
BUFR/CREX and GRIB encoding-decoding software freely downloadable on-line
External policy adopted

20. ERA-40
400 GB
2.5 degree
GRIB or netCDF

21. Summary of the strategy for ECMWF 1999-2008
A Strategy for ECMWF for the period 1999 to 2008 was adopted unanimously by the ECMWF Council in June 1999. In summary:
Goals
The prime long-term goal of the Centre’s research and operational activity for the period is to deliver operational medium-range weather forecasts of increasingly high quality and scope over the range from three to ten days and beyond.
A complementary long-term goal is to establish, deliver and improve a reliable operational seasonal forecasting capability.

22. The forecast and data assimilation system
Make full use of data from new satellite (AIRS, SEVIRI, IASI)
Extract information on cloud, precipitation and related dynamics
Refine the treatment of land and ocean surface, boundary layer and hydrological cycle
Increase the resolution:
Vertical resolution from 60 to 91 levels
Deterministic fc and 4D-Var outer loop from 40 to 25 km (T799)
Ensemble forecast (EPS) from 80 to 50 km (T399)
Seasonal forecasting from 200 to 125 km

23. The ensemble system Weekly running of the monthly forecast
Develop a “seamless” ensemble forecast system across a range of timescale, e.g.
T399(50 km) to D+7 twice daily
continue once a day at T255(80 km) to D+15
continue twice a week at T159(123 km) to D+30, in coupled mode
Moist singular vector
Ensemble data assimilation

24. The seasonal forecasting system
Europe in a leading position to develop a multi-model operational seasonal forecasting system:
Started with with UK Met Office model
Continues with Météo-France
ECMWF recognised as a global producer in the WMO system under development
Develop System 3 (125 km resolution)
New Ocean model
Extend to 12 months

25. Operational targets Development of the monitoring activities
Satellite date
In support of EUCOS
Timeliness of dissemination
Development of severe weather products:
Extreme Forecast Index (EFI)
Tropical Cyclone
Floods
Worldwide RMDCN

26. Other developments Environmental Monitoring (GMES): CO2
Other non reactive gases
Reactive gases
Aerosols
IFS for climate runs
Grid computing