Enhancing ECMWF's Operational and Research Activities

1. Operational and research activities at ECMWF now and in the future Sarah Keeley Education Officer ErlandKällén Director of Research

2. ECMWF An independent intergovernmental organisation established in 1975 Currently: 20 Member States 14 Co-operating States

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

5. Current system • IBM Cluster • Two identical systems for resiliency • 1.5 Petaflops peak performance (1.5×1015) • Operational Model - T1279 (16km) • Ensemble Prediction System - T639 (31km)

6. Increasing Resolution ~25km ~125km ~63km ~39km

7. Evolution of ECMWF scores ~16km ~210km Adapted and extended from Simmons & Hollingsworth (2002)

8. Physical aspects, included in IFS

9. Data assimilation

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

13. Meteorological Operations

14. ECMWFResearch Erland Källén Director of Research ECMWF

15. Outline • Operational scores • Data assimilation • Clouds and surface processes • Forecast busts • Increasing resolution • Ocean wave prediction • Reanalysis • Chemical modelling and assimilation

16. Quality of 500 hPa forecasts at day 6 Error reduction ↑ ECMWF NCEP ERA reforecasts UKMO

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

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

20. Diagnostics • Forecast busts • Severe weather • EDA, ENS and model error

21. Forecast busts over Europe D+6 RMSE > 60m ACC < 0.40

22. Flow anomaly before forecast bust over Europe

23. CAPE anomaly before forecast bust over Europe

24. 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. Surface winds from Lothar storm 26 Dec 1999(11 hour forecast) T7999 (2.5 km) T1279 (16 km) Gust speed

26. 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. Marine Parametrisation • Ocean wave impacts on mixing

28. Data assimilation • Variational assimilation • Ensemble of Data Assimilations (EDA) • Ensemble Kalman Filter (EnKF) • Surface analysis

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

31. ERA-20CM consistency with ERA-Interim

32. Time evolution of ocean heat content

33. Atmospheric composition • Modelling and data assimilation • Monitoring and evaluation • Impact on NWP – aerosols

34. Summary • ECMWF world leader medium range weather forecasting • Variational and ensemble data assimilation • Very high resolution possible • Ocean surface wave modelling • Atmospheric composition • Reanalysis