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ERA5-Land is a reanalysis dataset providing a hourly high resolution information of surface variables over several decades at ~9km grid spacing and covering the period from 1950 to 2-3 months before the present. ERA5-Land, developed by C3S at ECMWF, has been … ...
ERA-Interim is a global atmospheric reanalysis from 1979, continuously updated in real time. The data products include a variety of surface parameters, describing weather as well as ocean-wave and land-surface conditions. It further includes parameters … ...
CERA-20C is the ECMWF 10-member ensemble of coupled climate reanalyses of the 20th century, from 1901-2010. It is based on the CERA assimilation system, which assimilates only surface pressure and marine wind observations as well as ocean temperature and … ...
There are two versions of the ERA-20CM atmospheric model integrations. Each is comprised of a 10-member ensemble using: Radiative forcing from CMIP5 Sea-surface temperature (SST) and sea ice cover from HadISST2 Overview of the ERA-20CM versions Ensemble … ...
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 … … ...
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 … ...
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 … ...