Base Time: Fri 23 Feb 2024 00 UTC T+24 Valid time: Sat 24 Feb 2024 00 UTC (T+24)
Sunshine for any point is assessed using the model representation of cloud layers to decide how much direct solar radiation reaches the Earth's surface. The accumulated sunshine duration at each point is calculated from the length of time for which the direct solar radiation at the Earth's surface is greater than or equal to 120 W/m2. This is consistent with observed values of sunshine duration from a Campbell-Stokes sunshine recorder, which can only measure moderately intense sunlight and brighter. Sunshine values are reasonable if there is continuous full cover of cloud (zero sunshine) or continuous cloud-free skies. Partial cloud cover reduces direct sunshine accordingly. The amount of sunshine may be over-estimated because the amount of cloud cover is an average and cloud cover is rarely constant or uniformly distributed in time or space. Click on the middle icon to the bottom right for the scale.
Read our blog for a scientist’s perspective on different areas of ECMWF’s work. Recent posts cover the rise of machine learning in weather forecasting, the European heatwave of 2023, and heat stress.
This year will see a model upgrade and progress on machine learning – DG
ECMWF at the AMS Annual Meeting 2024
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 re-analyses, reforecasts and multi-model data are available from our archive (MARS) or via dedicated data servers or via point-to-point dissemination.
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.
Workshops and education
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.
|Informal Seminar: Lagrangian transport modelling based on ECMWF data
|March 5 – 6
|3rd Global Flood Forecasting and Monitoring Meeting
|March 4 – 8
|Training course: Data assimilation
|March 11 – 15
|Training course: EUMETSAT/ECMWF NWP-SAF satellite data assimilation
|March 18 – 22
|Training course: Machine learning for weather prediction
|April 10 – 12
|5th workshop on waves and wave-coupled processes
|May 7 – 10
|ESA – ECMWF Workshop on Machine Learning for Earth Observation and Prediction
|June 10 – 13
|8th CAMS General Assembly