ERA5 hourly data on single levels from 1940 to present
Data and Resources
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ERA5 hourly data on single levels from 1940 to presentGRIB
ERA5 is the fifth generation ECMWF reanalysis for the global climate and...
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ERA5 hourly data on single levels from 1940 to presentGRIB
ERA5 is the fifth generation ECMWF reanalysis for the global climate and...
Additional Info
Field | Value |
---|---|
Source | https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels?tab=download |
Maintainer | European Centre for Medium-Range Weather Forecasts |
Version | 5.0 |
Last Updated | September 22, 2025, 21:24 (UTC) |
Created | September 22, 2025, 21:19 (UTC) |
DOI | https://doi.org/10.24381/cds.adbb2d47 |
Data Documentation | https://confluence.ecmwf.int/display/CKB/ERA5%3A+data+documentation |
Data Type | Gridded |
Horizontal Resolution | Reanalysis: 0.25° x 0.25° (atmosphere), 0.5° x 0.5° (ocean waves) Mean, spread and members: 0.5° x 0.5° (atmosphere), 1° x 1° (ocean waves) |
Publication Date | 2018-06-14 |
Temporal Coverage | 1940 to present |
Temporal Resolution | Hourly |
Update Date | 2025-09-22 |
Update Frequency | Daily |
creation method | Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. This principle, called data assimilation, is based on the method used by numerical weather prediction centres, where every so many hours (12 hours at ECMWF) a previous forecast is combined with newly available observations in an optimal way to produce a new best estimate of the state of the atmosphere, called analysis, from which an updated, improved forecast is issued. Reanalysis works in the same way, but at reduced resolution to allow for the provision of a dataset spanning back several decades. Reanalysis does not have the constraint of issuing timely forecasts, so there is more time to collect observations, and when going further back in time, to allow for the ingestion of improved versions of the original observations, which all benefit the quality of the reanalysis product. |