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Latest forecast. 100 m wind and mean sea level pressure. These charts show surface pressure patterns. Areas of high pressure (anticyclones) are usually associated with settled weather... Latest forecast. Mean sea level pressure and 200 hPa wind.
- Advancing Global NWP Through International Collaboration
ECMWF is the European Centre for Medium-Range Weather...
- Forecasts
Forecast charts and data. We provide global forecasts,...
- Advancing Global NWP Through International Collaboration
ECMWF is the European Centre for Medium-Range Weather Forecasts. We are both a research institute and a 24/7 operational service, producing global numerical weather predictions and other data for our Member and Co-operating States and the broader community.
The ECMWF (European Centre for Medium-Range Weather Forecasts) is a European global forecast seamless model. It is widely regarded as the best and most reliable model currently in existence. It uses a concept called 4D, which is assimilation that allows the model to be constantly updated as new satellite or other input data becomes available.
Simulated images (water vapour) and mean sea level pressure. The simulated water vapour images generally focus on the upper troposphere. These charts can often indicate dynamical forcing mechanisms (responsible for cyclogenesis) or convective development (related to potential instability)...
The European Centre for Medium-Range Weather Forecasts (ECMWF) is an independent intergovernmental organisation supported by most of the nations of Europe. It is based at three sites: Shinfield Park, Reading, United Kingdom; Bologna, Italy; and Bonn, Germany.
Forecast charts and data. We provide global forecasts, climate reanalyses and specific datasets, designed to meet different user requirements. These are available via the web, point-to-point dissemination, data servers and broadcasting. ECMWF’s operational forecasts aim to show how the weather is most likely to evolve.
Our extended-range forecasts provide an overview of potential weather conditions up to 46 days ahead, focussing mainly on average conditions week by week and how different they are from a long-term (model-based) climatology.
