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ECMWF Forecasting System - Overview
Background/Establishment
1969 Expert group in meteorology propose‘European Meteorological Computing Centre’
1975 ECMWF convention in force
1978 Headquarters building completed
Start of operational activities
1978 Installation of first computer system (CRAY 1-A)
1983 T63 (320 km) / L16 spectral model
1991 T213 (95 km) / L31 spectral model
1993 Ensemble prediction system
1996 Fujitsu VPP300-C and VPP700-46
1997 4D-Var data assimilation
2000 Fujitsu VPP 5000/100, T511/L60 model
2001 Web site enhanced: RMDCN extended to 33 States:
2002 IBM p690 HPCF and new Data Handling System installed
2006 T799 (25 km)
2010 T1279 (16 km)
2010 New convention has been entered into force
ECMWF Forecasting System - Overview
Belgium Ireland PortugalDenmark Italy SwitzerlandGermany Luxembourg FinlandSpain The Netherlands SwedenFrance Norway TurkeyGreece Austria United Kingdom
Co-operation agreements or working arrangements with:Czech Republic Lithuania ACMADCroatia Montenegro ESAEstonia Morocco EUMETSAT Hungary Romania WMOIceland Serbia JRC Israel Slovakia CTBTOLatvia Slovenia CLRTAP
ECMWF Forecasting System - Overview
• Operational forecasting up to 15 days ahead (including ocean waves)
• R & D activities in forecast modelling
• Data archiving and related services
• Operational forecasts for the coming month and season
• Advanced NWP training
• Provision of supercomputer resources
• Assistance to WMO programmes
• Management of Regional Meteorological Data Communications Network (RMDCN)
Main Objectives
COUNCIL18 Member States
Organisation of ECMWF
DIRECTOR-GeneralProf. Alan Thorpe
UK
Meteorological Division
Meteorological Division
Computer Division
Computer Division
OperationsOperations ResearchResearchAdministrationAdministration
DataDivision
DataDivision
Model DivisionModel Division Probabilistic Forecastingand Diagnostics DivisionProbabilistic Forecastingand Diagnostics Division
FinanceCommittee7 Members
FinanceCommittee7 Members
Technical AdvisoryCommittee18 Members
Technical AdvisoryCommittee18 Members
Scientific AdvisoryCommittee12 Members
Scientific AdvisoryCommittee12 Members
Policy AdvisoryCommittee
7-18 Members
Policy AdvisoryCommittee
7-18 Members
Advisory Committee of Co-operating States
12 Members
Advisory Committee of Co-operating States
12 Members
Advisory Committee on Data Policy
8-31 Members
Advisory Committee on Data Policy
8-31 Members
Germany 20.20%
Denmark1.87%Belgium2.71%
United Kingdom16.43%
Turkey 2.38%
Sweden 2.66%
Finland 1.42%
Switzerland 2.89%Portugal
1.29%
Austria 2.16%
Norway 2.13%
Netherlands 4.61%
Italy12.66%
Ireland1.23%
Greece1.74%
France 15.46%
Spain 7.95%Main Revenue 2010
Member States’contributions £36,703,200
Co-operating States’contributions £861,600
Other Revenue £1,275,000
Total £38,839,800
GNI Scale 2009–2011
Luxembourg0.23%
Main Expenditure 2010Staff £15,199,900Leaving Allowances& Pensions £3,298,600ComputerExpenditure £15,809,000Buildings £3,647,700Supplies £884,600
Total £38,839,800
Budget
ECMWF Forecasting System - Overview
ECMWF is world leading centre in medium range forecasting
Atmosphere global forecasts Forecast to ten days from 00 and 12 UTC at 16 km resolution and 91 levels 50 ensemble forecasts to fifteen days from 00 and 12 UTC at 50 km resolution
Ocean wave forecasts Global forecast to ten days from 00 and 12 UTC at 28 km resolution European waters forecast to five days from 00 and 12 UTC at 11 km resolution
51-member ensemble prediction system To day 15 from 00 and 12 UTC (to day 32 on Thursdays at 00 UTC) 32 km resolution up to day 10, then 65 km 62 vertical levels 12 UTC with persisted SST up to day 15, 00 UTC with persisted SST up to
day 10 and then coupled ocean model Coupled ocean has horizontally varying resolution (⅓ to 1°), 9 vertical levels. Coupled wave model
Seasonal forecasts: Atmosphere-ocean coupled model Global forecasts to seven months:
atmosphere: 1.125° resolution, 62 levelsocean: horizontally-varying resolution (⅓° to 1°), 29 levels
ECMWF Forecast Products
• Reanalyses (ERA-15, ERA-40, ERA-Interim)
• Boundary conditions for Limited Area Models (LAM)
• Data Services
– Provision of real-time data
– Provision of archived data and products
– Provision of software
ECMWF Forecasting System - Overview
• Training Courses
– Numerical methods
– Data assimilation & use of satellite data
– Parametrization of diabatic processes
– Predictability, diagnostics and long-range forecasting
– Use and interpretation of ECMWF products
– Computer user training courses
• Seminars
– Research Seminars (annually)
– Meteorological Operational Systems (biennial)
– Large-scale Computing (biennial)
• Workshops
ECMWF Forecasting System - Overview
Current computer configuration
June 2010
ECMWF Forecasting System - Overview
ECMWF Forecasting System - Overview
RMDCN
RMDCN Connections
RMDCN Global Coverage (March 2010)
ECMWF Forecasting System - Overview
ECMWF Forecasting System - Overview
day
N Hemisphere Lat 20.0 to 90.0 Lon -180.0 to 180.0(12mMA = 12 months moving average)
Correlation coefficent of forecast anomalygeopotential 500hPa
ECMWF forecast verification 12UTC
1980198119821983198419851986 1987198819891990 19911992199319941995 1996199719981999 2000200120022003 2004200520062007 200820094
5
6
7
8
9
10
score reaches 60%
score 12mMA reaches 60%
Z500,N.Hem, T+72
ECMWF Forecasting System - Overview
Tropical cyclone position error(mean of 365 days ending 14 July)
0
100
200
300
400
500
600
0 12 24 36 48 60 72 84 96 108 120
forecast range (hours)
Err
or
(km
)
2003
2004
2005
2006
2007
2008
2009
Verification of TC predictions from the operational deterministic forecast for 12-month periods ending on 14 July. The latest period, 15 July 2008 to 14 July 2009, is shown in red. Within each year, the sample size is the same at each forecast step (but the number of cyclones varies from year to year).
ECMWF Products – for NMHSs of WMO members
• Services
Conventional GTS, ftp data downloads, WEB plots, EUMETCast
• Data resolution 0.5° × 0.5° global, (tropic belt for vorticity and divergence parameter)
• “Essential” ProductsMSL pressure
850 hPa temperature and winds
500 hPa geopotential height
EPS mean and standard deviation of all above parameters
Validity: Analysis, 24, 48, 72, 96, 120, 144, 168, 192, 216, 240 hour forecasts
• FrequencyTwice per day, based on 00 and 12 UTC data
• FormatWMO FM92-Ext GRIB edition 2 http://www.ecmwf.int/about/wmo_nmhs_access/conditions.html
ECMWF Products – for NMHSs of WMO members• “Additional” Products
700, 500, 200 hPa winds
850, 700 hPa Relative Humidity
700 hPa vorticity and divergence
Significant wave height, wave mean period, wave mean direction
EPS event probabilities total precipitation >10/20 mm, 10m wind gusts >15/25m/s, significant wave height > 2/4/6/8m
Seasonal System sea surface temperature anomalies
Tropical Cyclone Tracks (WMO FM-92 BUFR)
• Products only available as WEB Products
Extreme Forecast Indices
EPSgrams (site specific forecasts of near surface weather parameters up to 10 days)
Data sources for the ECMWF Meteorological Operational System (EMOS)
Satellite data used by ECMWF
Operationalmodel levels
(91-level model)
ECMWF Forecasting System - Overview
Operational model grid
ECMWF Forecasting System - Overview
Model grids for T799 (25 km) and T1279 (16 km)
ECMWF Forecasting System - Overview
ECMWF Forecasting System - Overview
The observations are used to correct errors in the short forecast from the previous analysis time.
Every twelve hours we process 6 – 10,000,000 observations to correct the 80,000,000 numbers that define the model’s virtual atmosphere.
This is done by a careful 4-dimensional interpolation in space and time of the available observations; this operation takes as much computer power as the 10-day forecast.
Starting Forecasts
ECMWF Forecasting System - Overview
Importance of observations(Analysis) for medium range forecast
Data assimilation
THE FORECAST is continuously compared against a variety of meteorological measurements. If we imagine the whole world encapsulated by a grid, the grid points are the locations where the forecast is computed. The meteorological measurements can be taken in any location in the grid.
A short-range forecast (blue ‘F’) provides an estimate of the atmosphere that can be compared with the measurements (yellow crosses). The two kinds of information are combined to form a corrected representation of the atmosphere (green ticks). Corrections are computed and applied twice per day. This automatic process is called ‘Data Assimilation’.
ECMWF Forecasting System - Overview
Thanks for your attention…