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© European Centre for Medium-Range Weather Forecasts Operational and research activities at ECMWF now and in the future Sarah Keeley Education Officer.

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Presentation on theme: "© European Centre for Medium-Range Weather Forecasts Operational and research activities at ECMWF now and in the future Sarah Keeley Education Officer."— Presentation transcript:

1 © European Centre for Medium-Range Weather Forecasts Operational and research activities at ECMWF now and in the future Sarah Keeley Education Officer Erland Källén Director of Research

2 © European Centre for Medium-Range Weather Forecasts ECMWF An independent intergovernmental organisation established in 1975 Currently: 20 Member States 14 Co-operating States

3 © European Centre for Medium-Range Weather Forecasts

4 How ECMWF was established Start of operational activities 1978Installation of first computer system (CRAY 1-A) 1979Start of operations N48 grid point model – 200km

5 © European Centre for Medium-Range Weather Forecasts Current system IBM Cluster – Two identical systems for resiliency – 1.5 Petaflops peak performance (1.5×10 15 ) Operational Model - T1279 (16km) Ensemble Prediction System - T639 (31km)

6 © European Centre for Medium-Range Weather Forecasts Increasing Resolution ~125km~63km ~39km ~25km

7 © European Centre for Medium-Range Weather Forecasts Evolution of ECMWF scores Adapted and extended from Simmons & Hollingsworth (2002) ~210km ~16km

8 © European Centre for Medium-Range Weather Forecasts Physical aspects, included in IFS

9 © European Centre for Medium-Range Weather Forecasts Data assimilation

10 © European Centre for Medium-Range Weather Forecasts

11 Predictability, diagnostics and extended-range forecasting The atmosphere is a chaotic system Small errors can grow to have major impact (butterfly effect) This limits detailed weather prediction to a week or so ahead Slowly evolving components of the climate system can give predictability at longer timescales

12 © European Centre for Medium-Range Weather Forecasts

13 Meteorological Operations

14 © European Centre for Medium-Range Weather Forecasts ECMWF Research Erland Källén Director of Research ECMWF

15 © European Centre for Medium-Range Weather Forecasts Outline Operational scores Data assimilation Clouds and surface processes Forecast busts Increasing resolution Ocean wave prediction Reanalysis Chemical modelling and assimilation

16 © European Centre for Medium-Range Weather Forecasts Quality of 500 hPa forecasts at day 6 Error reduction ↑ ECMWF UKMO NCEP ERA reforecasts

17 © European Centre for Medium-Range Weather Forecasts

18 Model: Physical aspects Cloud microphysics Convection scheme revisions Stable boundary layer – roughness lengths Radiation and aerosols

19 © European Centre for Medium-Range Weather Forecasts Focus on improved cloud parametrization: Freezing level Super-cooled liquid layers in mixed phase stratiform cloud (37r3) Ice water content in cirrus (38r1) Reduction of drizzle occurrence mid-level cloud anvil cirrus stratocumulus shallow Cu deep convection frontal SLW stratus cirrus ice liquid

20 © European Centre for Medium-Range Weather Forecasts Diagnostics Forecast busts Severe weather EDA, ENS and model error

21 © European Centre for Medium-Range Weather Forecasts Forecast busts over Europe D+6 RMSE > 60m ACC < 0.40

22 © European Centre for Medium-Range Weather Forecasts Flow anomaly before forecast bust over Europe

23 © European Centre for Medium-Range Weather Forecasts CAPE anomaly before forecast bust over Europe

24 © European Centre for Medium-Range Weather Forecasts Model: Numerical aspects Resolution increases – Horizontal: 16 km in 2010 →10 km in 2015 → ≈5 km in 2020 – Vertical: 91 → 137 levels in 2013 Fast Legendre transforms Non-hydrostatic model Mass conservation

25 © European Centre for Medium-Range Weather Forecasts Surface winds from Lothar storm 26 Dec 1999 (11 hour forecast) T1279 (16 km) T7999 (2.5 km) Gust speed

26 © European Centre for Medium-Range Weather Forecasts ENsemble prediction System (ENS) EDA, singular vectors and ENS Stochastic physics Monthly forecasting – MJO skill scores Seasonal forecast System 4 – EUROSIP including NCEP Applications of ENS – Flooding/drought prediction – Health

27 © European Centre for Medium-Range Weather Forecasts Marine Parametrisation Ocean wave impacts on mixing

28 © European Centre for Medium-Range Weather Forecasts Data assimilation Variational assimilation Ensemble of Data Assimilations (EDA) Ensemble Kalman Filter (EnKF) Surface analysis

29 © European Centre for Medium-Range Weather Forecasts

30 Reanalysis (ERA) Climate monitoring in near real time ERA-20th century reanalysis in preparation Ocean reanalysis

31 © European Centre for Medium-Range Weather Forecasts ERA-20CM consistency with ERA-Interim

32 © European Centre for Medium-Range Weather Forecasts Time evolution of ocean heat content

33 © European Centre for Medium-Range Weather Forecasts Atmospheric composition Modelling and data assimilation Monitoring and evaluation Impact on NWP – aerosols

34 © European Centre for Medium-Range Weather Forecasts Summary ● ECMWF world leader medium range weather forecasting ● Variational and ensemble data assimilation ● Very high resolution possible ● Ocean surface wave modelling ● Atmospheric composition ● Reanalysis


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