Title: ECMWFDM1
1Simulation et prevision du temps
- Dominique Marbouty
- Head, Operations Department
- European Centre for Medium-range Weather Forecast
- dominique.marbouty_at_ecmwf.int
- http//www.ecmwf.int
2Agenda
- The current situation
- What is ECMWF? activity, requirements
- Past evolution of ECMWFs computer means
- Comparison with other NWP centres
- Future evolution
- Requirements
- Schedule
- The main issues
3Member States
Belgium The Netherlands Denmark Norway Federal
Republic of Germany Austria Spain Portugal Fra
nce Switzerland Greece Finland Ireland Swede
n Italy Turkey Yugoslavia United
Kingdom Co-operation agreements or working
arrangements with Croatia Iceland WMO ACMAD Hung
ary Slovenia EUMETSAT
4European Centre for Medium-Range Weather Forecasts
Background 1967 European Council of Ministers
propose co-operation in science and technology
1969 Expert group in meteorology propose
European Meteorological Computing
Centre 1971 Report on EMCC Net benefit of
100m per annum at 1971 prices Establishment
1975 ECMWF convention in force
1978 Headquarters building completed Start of
operational activities 1978 Installation of
first computer system (CRAY 1-A) 1979 Start of
operations (N48 grid point model) 1983 T63 / L16
spectral model 1983 CRAY X-MP/22, IBM data
storage system 1985 T106/L19 spectral
model 1985 CRAY X-MP, DEC telecommunications
system (VAX) 1990 CRAY Y-MP8/8-64 1991 T213 /
L31 spectral model 1992 CRAY C90 - ocean wave
forecasting 1993 Ensemble prediction
system 1996 Fujitsu VPP300-C and
VPP700-46 1997 Fujitsu VPP700-116 1999 Enhanced
Fujitsu VPP system
5ECMWF in a few figures
- Participants 20 States
- Age 25 years
- Staffing 200 persons
- Budget 25m
- Model resolution 60 km
- EPS 50 elements
6ECMWFs principal objectives
- development of numerical models for weather
forecasting - daily distribution of forecasts to its Member
States - development of seasonal forecasting
- collection and storage of appropriate
meteorological data - allowing research staff to access these archives
from remote sites - providing computer resources to Member States
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9IFS/ARPEGE
- NWP package developed jointly by ECMWF and
Météo-France - includes forecast model, 4D-Var assimilation
system, ensemble prediction system - Medium range forecast TL319 L60 (60 km)
- 4D-Var TL319/T63 (60/300km)
- EPS TL159 L40 (120km) 51 members
- SF atm TL95 (200km) ocean 2ox2ox20
10FUJITSU VPP700 (116 PEs)
FUJITSU VPP700E (48 PEs)
IBM SP
FUJITSU VPP300 (9 PEs)
HIPPI
FDDI
FUJITSU VPP300 (4 PEs)
SGI Challenge
SGI Origin 2000
IBM RS/6000
Router
VAX
HP 9000
E T H E R N E T
Firewall
Router
Router
DEC
WWW
PCs
Router
SGIs
SGIs
TCP/IP
DECNET
JANET/INTERNET
MEMBER STATES
11ECMWF Supercomputer Growth
12The current ECMWFs computers
- Fujitsu VPP 700/116 peak 255 Gflops sustained
80 Gflops - Fujitsu VPP 700E/48 peak 115 Gflops sustained
35 Gflops - Fujitsu VPP 5000/38 peak 365 Gflops sustained
110 Gflops ____ _____
735 225 - From next August
- Fujitsu VPP 5000/100 peak 960 Gflops sustained
288 Gflops ____ _____
1330 400
13Other NWP Centres
- UKMO SGI T3E900 /876 pk 788 Gf st 79
Gf SGI T3E1200/636 pk 763 Gf st 76
Gf _________ ______
1550 Gf 155? Gf - DWD SGI T3E1200/812 pk 974 Gf st 97? Gf
- Météo-France Fujitsu VPP5000/31 pk 298 Gf
st 90? Gf - NCEP IBM SP/768 pk 614 Gf st 45?Gf
14The targets setfor period 1999 to 2008
- an extension of the skill of the deterministic
forecast, as measured by the NH 500 hPa height
field reaching 60, by one day - a gain of one day at D6 in the Brier skill-score
for EPS-based probabilistic forecasts of moderate
850 hPa temperature anomalies (4K or larger) over
Europe - preparation by 2003 of an assessment of seasonal
forecast skill over the last 40 years - improving timeliness and reliability of product
dissemination - provision of good forecasts of severe weather
towards day 4 or day 5 - this requires the
development of a suitable performance evaluation
relating to severe weather.
15Approach
- the development of an increasingly accurate
earth-system model, using efficient and
economical numerical methods together with a
comprehensive and exhaustively-validated physical
parameterisation package - the development of improved data assimilation
systems employing the most advanced mathematical
methods to extract information from in-situ data
and from operational and research satellites - the development of improved EPS techniques for
medium-range, extended-range and seasonal
forecasting.
16Development of the operational system-2000 to 2001
- a 60-level TL511 (40km horizontal resolution)
4D-Var data assimilation system, with analysis
increments corresponding to the inner loop
resolution of TL255 (80km) - a Reduced Rank Kalman Filter (RRKF) to provide
estimates of flow-dependent background and
analysis errors - a 60-level TL511 (40km horizontal resolution)
deterministic model - a 60-level TL255 (80km horizontal resolution),100
elements, EPS model - a 60-level TL95 (120km horizontal resolution)
atmospheric/ocean model for seasonal prediction.
17Next developments
- By 2001 - the effective utilisation of METEOSAT
Second Generation geostationary satellite data
will require a move towards a resolution of 40 km
for the global analysis/forecast system
employing 90 levels - By 2003 - full use of a 30 km 90 level system to
enable effective use of data from Europes polar
orbiting METOP satellite - By 2008 - doubling of the horizontal resolution
to 20 km and increased vertical resolution will
improve the exploitation of data from the high
resolution satellite-borne sounders such as IASI
and AIRS and other high resolution data over land
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19Draft schedule for the next computer
- December 2000 specifications decided by ECMWFs
Council - 2001 run Invitation To Tender (ITT)
- December 2001 decision
- 2002 installation, parallel run, move operations
to new machine
20The preparation of the ITT
- Facilitate competition RAPS
- RAPS6 to be issued this May (includes 4D-Var)
- Vector / Scalar open choice
- code adaptation is being prepared
21Growth in the ECMWF archives
Petabytes
Storage growth in petabytes
22Conclusions
- Exploitation of the current Earth System
Modelling capabilities and of the full
information content of new satellite data will
require substantial computer resources - the
benefit will vastly improved forecast from a few
days to a few seasons ahead - The HPC could be acquired provided budgets are
maintained in real-terms. - Managing petabyte archives will be a major
challenge.