Advancing global NWP through international collaboration

High resolution mean sea level pressure and ensemble spread

Monday 18 December, 00 UTC T+96 Valid: Friday 22 December, 00 UTC

Ensemble forecasts explained
One 'ensemble forecast' consists of 51 separate forecasts made by the same computer model, all activated from the same starting time. The starting conditions for each member of the ensemble are slightly different, and physical parameter values used also differ slightly. The differences between these ensemble members tend to grow as the forecasts progress, that is as the forecast lead time increases.

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SCIENCE BLOG

Wildfire, card format

Wildfires – a hazard like no other

Francesca Di Giuseppe discusses some of the unique challenges involved in predicting wildfires and how ECMWF is contributing to European and global fire information systems.

5 December 2017

NEWS
NEWS

ECMWF engages with Python community

ECMWF is stepping up its efforts to provide processing and visualisation options in the Python programming language. To engage with the developer community, the Centre hosted a Python frameworks workshop on 28 and 29 November 2017.

12 December 2017
IN FOCUS

ESCAPE project logo, no text

The ESCAPE project: towards exascale computing in NWP

Weather and climate 'dwarfs' designed and implemented in this ECMWF-led project are a major step towards re-structuring existing computational kernels for weather forecasting. They will serve as building blocks for exascale-ready solutions.

24 November 2017

Forecast charts and data

We provide current forecasts, climate reanalyses and specific datasets. These are available via the web, point-to-point dissemination, data servers and broadcasting.

EFI Iberian Peninsula for Twitter

Plot of the week

The Extreme Forecast Index (EFI) for precipitation gave an early indication of the first significant rainfall event in the NW Iberian Peninsula after a prolonged period of dry conditions.

 

Datasets

Forecasts, analyses, climate re-analyses, reforecasts and multi-model data are available from our archive (MARS) or via dedicated data servers or via point-to-point dissemination.

Accessing forecasts

Researchers, WMO members, commercial users and satellite data providers can gain access to ECMWF forecast products under one of our various license agreement types.

Advancing weather science

Education is a key element of our work at ECMWF, enabling our partners to get the most from ECMWF's services and develop an advanced understanding of forecasting.

ECMWF lecture theatre

ECMWF workshops are open to the worldwide meteorological community, though some training is restricted to member states.