Photo by DeepMind on Unsplash

ECMWF ERA5 Reanalysis Dataset for Machine Learning

Install DagsHub:

pip install dagshub
Click on copy button to copy content

To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/ecmwf-era5-dataset")

fs.listdir("s3://era5-pds")
Click on copy button to copy content

Description

ERA5 is the fifth generation of ECMWF atmospheric reanalyses of the global climate, and the first reanalysis produced as an operational service. It utilizes the best available observation data from satellites and in-situ stations, which are assimilated and processed using ECMWF’s Integrated Forecast System (IFS) Cycle 41r2. The dataset provides all essential atmospheric meteorological parameters like, but not limited to, air temperature, pressure and wind at different altitudes, along with surface parameters like rainfall, soil moisture content and sea parameters like sea-surface temperature and wave height. ERA5 provides data at a considerably higher spatial and temporal resolution than its legacy counterpart ERA-Interim. ERA5 consists of high resolution version with 31 km horizontal resolution, and a reduced resolution ensemble version with 10 members. It is currently available since 2008, but will be continuously extended backwards, first until 1979 and then to 1950. Learn more about ERA5 in Jon Olauson’s paper ERA5: The new champion of wind power modelling?.

Additional information

Update frequency

Monthly

License

Generated using Copernicus Climate Change Service Information 2018. See http://apps.ecmwf.int/datasets/licences/copernicus/ for additional information.

Related datasets

Atmospheric Models from Météo-France

CAFE60 reanalysis

Coupled Model Intercomparison Project Phase 5 (CMIP5) University of Wisconsin-Madison Probabilistic Downscaling Dataset

Earth Radio Occultation

Launch your ML development to new heights with DagsHub

Back to top