Base Time: Thu 12 Sep 2024 00 UTC T+264 Valid time: Mon 16 Sep 2024 00 UTC - Mon 23 Sep 2024 00 UTC
The anomalies have been calculated relative to a 20-year model climatology. The areas where the ensemble forecast is not significantly different from the climatology are blanked.
A “warming stripes” are a visual representations of the change in temperature.
#ShowYourStripes
Read our blog for a scientist’s perspective on different areas of ECMWF’s work. Recent posts include reflections on the joint ESA-ECMWF workshop on machine learning for Earth observation and prediction, and developments in forecasting wildfires.
Machine learning to play growing role in weather forecasting, says DG
Machine learning is set to play a growing role in numerical weather prediction, but physics-based forecasting techniques will continue to be important, ECMWF’s Director-General Florence Rabier has said in an interview.
ECMWF at EMS2024
At the 2024 Annual Meeting of the European Meteorological Society (EMS), ECMWF will present developments in Earth system modelling from across the organisation.
In focus
Browse our fact sheets on topics such as global numerical modelling, supercomputing, and extended- and long-range prediction, learn about our plans for the ensemble control and the GRIB2 data format, and read about some of the opportunities and challenges for ML and weather forecasting.
Enter the ensembles
We introduce a first version of an ensemble AIFS, explain how it works, show some early results and explain where you can view charts.