ECMWF Newsletter

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  • Predicting the forecast impact of potential future observing systems
  • Scale-dependent verification of precipitation and cloudiness at ECMWF
  • Use of machine learning for the detection and classification of observation anomalies
  • Aeolus positive impact on forecasts with the second reprocessed dataset
  • The next extended-range configuration for IFS Cycle 48r1
  • A new way of computing semi-Lagrangian advection in the IFS
  • Using genetic algorithms to tune the Copernicus Climate and Atmosphere Data Stores
  • Progress on developing a new coupled sea-surface temperature analysis
  • Using ECMWF ensemble forecasts for operational observation targeting
  • The mesoscale ensemble prediction system A‑LAEF
  • ECMWF’s new network and security infrastructure
  • From the Scalability Programme to Destination Earth
  • Developing an all-surface capability for all-sky microwave radiances
  • Israel uses ECMWF supercomputer to advance regional forecasting
  • ECMWF’s support for the SEE-MHEWS-A project
  • ECMWF’s new data centre in Italy
  • Aviso: ECMWF’s data availability notification service
  • New Python data exploration functions in Metview
  • IFS upgrade improves moist physics and use of satellite observations
  • Assimilating Spire and COSMIC-2 data into the IFS
  • Advanced regridding in Metview
  • IFS upgrade provides more skilful ensemble forecasts
  • How APPLICATE contributed to ECMWF core activities
  • Forecasting clear-air turbulence
  • Data assimilation or machine learning?
  • ECMWF online – community, collaboration and empowerment
  • IFShub: a new way to work with IFS experiments
  • Statistical post-processing of ensemble forecasts at the Belgian met service
  • Major upgrade of the European Flood Awareness System
  • ecFlow5 brings benefits to Member States
  • How to make use of weather regimes in extended-range predictions for Europe
  • CAMS contribution to the study of air pollution links to COVID-19
  • Progress towards a European Weather Cloud
  • IFS upgrade greatly improves forecasts in the stratosphere
  • A major moist physics upgrade for the IFS
  • Enhancing tropical cyclone wind forecasts
  • From weather forecasting to climate modelling using OpenIFS


  • Improving the handling of model bias in data assimilation
  • Quintic vertical interpolation improves forecasts of the stratosphere
  • The new capabilities of ECMWF’s product dissemination system
  • HPC2020 – ECMWF’s new High-Performance Computing Facility


  • Progress towards assimilating cloud radar and lidar observations
  • Recent developments in the automatic checking of Earth system observations
  • New products for the Global Flood Awareness System
  • Metview’s Python interface opens new possibilities
  • Unlocking the hidden value of machine data to improve ECMWF’s services
  • Recent progress in all-sky radiance assimilation
  • Use of ERA5 reanalysis to initialise re-forecasts proves beneficial
  • Use of super-site observations to evaluate near-surface temperature forecasts
  • WEkEO DIAS moves towards operational release