Research

ECMWF is at the forefront of research in numerical weather prediction.

We use the scientific advances made in areas such as data assimilation, Earth system modelling, predictability and reanalysis to improve our forecasts.

We work collaboratively with scientists across the world on all aspects of prediction systems as well as the many areas that support forecast production.

Globe with NWP mesh

NWP satellite

Data assimilation

We optimise methods that combine observations with the forecast model to produce an initial state of the Earth system.

Earth system diagram

Modelling

We develop models for different components of the Earth system and their interactions.

Ensemble forecast chart

Predictability

We assess predictability at all forecast ranges and investigate methods to represent forecast uncertainty.

Data graphic

Reanalysis

We create global datasets of the recent history of the atmosphere, land surface, and oceans.

Collaboration

ECMWF is part of a vibrant meteorological community, leading and taking part in projects, making resources available to others, and sharing knowledge.

Key results are documented in ECMWF publications and in many cases in peer-reviewed journals.

Group discussion

Projects and collaborations

We are funded by our Member and Co-operating States but receive some extra funding from various bodies to carry out cutting-edge research, often in collaboration with other organisations.

ECMWF publication covers

Publications

We produce a range of publications documenting our latest research.

ECMWF supercomputer

Member State Special Projects

Member States can use ECMWF’s supercomputer for projects likely to be of interest to the general scientific community.