Visibility
Base Time: Mon 02 Nov 2026 12 UTC T+0 Valid time: Mon 02 Nov 2026 12 UTC
Predicting near surface visibility is dependent on predicting the correct dynamic and thermodynamic conditions in the boundary layer which can be highly variable. Fog is an extremely important weather hazard, but particularly difficult to predict.
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.
Forecasts, analyses, climate reanalyses, re-forecasts and multi-model data are available from our archive (MARS) or via dedicated data servers or via point-to-point dissemination.
Researchers, WMO members, commercial users and satellite data providers can gain access to ECMWF forecast products under one of our various licence agreement types.
Serving meteorology
International collaboration is fundamental to the work of ECMWF, working with the EU and the meteorological community at large, including the World Meteorological Organization, space agencies, and scientists around the world.
| November 3 – 5 | 2026 Workshop on Machine Learning for Land and Hydrology |
| November 9 – 12 | NWP-SAF workshop on exploiting satellite cloud and precipitation observations for weather forecasting |
| November 16 – 20 | Training course: Machine Learning-based weather forecasting |
| 24 November | Intro to the EWC Container Registry and Secret Manager services |
| 27 November | Panel: Towards Coupled AI Climate Models |
| November 23 – 27 | Workshop on software strategies for sustainable physical modelling |
| October 5 – December 4 | Online course: ML for Earth Systems Modelling - Applications and Future Directions |
| January 11 – 15 | Training course: Data assimilation & Machine Learning |
ECMWF workshops are open to the worldwide meteorological community, though some training is restricted to member states.