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Use and evaluation of medium-range forecast at the Hungarian Meteorological Service. Ferenc Wantuch Hungarian Meteorological Service Kitaibel P. u. 1. H-1024 Budapest E-mail:wantuch.f@met.hu. Talk outline. Introduction Verification Two interesting case studies
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Use and evaluation of medium-range forecast at the Hungarian Meteorological Service. Ferenc Wantuch Hungarian Meteorological Service Kitaibel P. u. 1. H-1024 Budapest E-mail:wantuch.f@met.hu
Talk outline • Introduction • Verification • Two interesting case studies • New products based on ECMWF.
Data flow and structure Visualisation NWP data source: Netcdf file format File format: GRIB BUFR Code generalisation process
Code generalisation by the help of different method (PP, MOS) visibility forecast, max, min temperatures cloudiness, ... Forecaster output NWP output Text and data Control Verification Forecast text generator program End users
Verification A Complex Score was defined. Weight Temperature 25+25% Precipitation 22,5% Wind 10% Cloud Cover 17,5% 25 25 25 20 17,5 15 12,5 % 10 10 6 4 5 0 Tmin Tmax P.Exist P.Amounty Áv.Windl Wind gust Cloud Covert
Verification 2004 (Hungary)ALADIN ECMWF Forecaster Tmin: Tmax:
Verification results and trends Verification results 2004 (Hungary)ALADIN ECMWF Forecaster Felhőzet:
Verification results and trends 2004. December cold air pad 2003. Feb.: Anticyclon with snow surface, ALADIN is unsuccesfull 2000. second period: changes in ECMWF algorithm + model upgrade: 60 => 40 km) Complex Score for the first day 2000. júl – 2004. dec. (Country mean) ALADIN ECMWF Synoptic
Minimum Temperature sesonal ME and RMSE (2001 – 2004 Hungary mean) EC + Forecaster: ME: seasonal RMSE:slowlydecrease
~30%-correction in (cold air pad) inversion situation Complex Score for the first day in 2004-ben (country mean) ALADIN ECMWF Forecaster
Case study I. : Inversion and cold air pad. (2004. December ) MSG comp321 sat. picture. 12.12. 12 2004 UTC and observations ECMWF model forecast. 12 UTC-re dec.12 2004 100 20 SKC is predicted The last ECMWF prediction. Tops of mountains are clear Stratus (cloud base 200-400 m, surface temperature –1, -3 C
Cloud cover verification. ECMWF - ALADIN – Forecaster (1st day) 2004. October – November – December V 4 AL EC F 3 2 1 0 -1 -2 -3 (okta) -4 -5 -6 -7 okt. 1. okt. 8. nov. 5. dec. 3. okt. 15. okt. 22. okt. 29. nov. 12. nov. 19. nov. 26. dec. 10. dec. 17. dec. 24. dec. 31.
Case study II. : Flash flood in Matra Mountains. (18.04.2005. ) The ECMWF model involved the possibility of extreme precipitation
Case study II. Succesful MM5 modell forecast based on ECMWF initial condition.
New clusterisation method and early time torch construction depend on ECMWF at HMS. Varying number of clusters for the Carpathian Basin Torch construction before the dissemination time.
New torch diagrams and probability forecasts for energetic sector. 925 hPa,850 hPa,700 hPa, wind direction ,relativ hum.,temperture,… torches Probablilty forecasts
Post processing application. • Program demonstration • Internet and business application • End