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ORA-20C is a 10-member ensemble of ocean reanalyses covering the 20th century using atmospheric forcing from ERA-20C. Its main purpose is to provide initial conditions for the ocean component of the CERA-20C streams. … Ocean Reanalysis of the 20th Century … … ...
Enable a significant improvement in environmental prediction capabilities for the polar regions and beyond, by coordinating a period of intensive observing, modelling, verification, user-engagement. Theme: Polar predictions Parameter family: Atmospheric … ...
15-member coupled IFS (cycle 43R1) extended-range reforecast experiment covering the period 1989-2015 with bias-corrected sea-surface temperatures (SSTs) in the North Atlantic region. This experiment can be compared with gkzp, which is the relevant control … ...
15-member coupled IFS (cycle 43R1) extended-range reforecast experiment covering the period 1989-2015. The atmosphere is configured with 91 vertical levels and uses the Tco399 cubic octahedral reduced Gaussian grid. The IFS is coupled hourly to the 75 level … ...
Each country's experiments can be accessed via the links below: Austria Belgium Denmark France Germany Ireland Italy Netherlands Norway Portugal Spain Sweden Switzerland Turkey United kingdom … Member States IFS Experiments … ECMWF Member States … ECMWF … … ...
The Climate Change Adaptation Digital Twin - delivering global high-quality climate information at scales that matter to society The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities through the provision of … ...
The Weather-Induced Extremes Digital Twin - sharpening the prediction of extreme weather and its impacts The DestinE Digital Twin for Weather-Induced Extremes ( Extremes DT ) supports rapid decision-making in response to meteorological, hydrological and air … ...
ECMWF is now running a series of data-driven forecasts as part of its experimental suite. These machine-learning based models are very fast, and they produce a 10-day forecast with 6-hourly time steps in approximately one minute. The outputs are available in … ...
ECMWF is now running its own Artificial Intelligence/Integrated Forecasting System (AIFS) as part of its experiment suite. These machine-learning-based models are very fast, and they produce a 10-day forecast with 6-hourly time steps in approximately one … ...