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Update Frequency: Daily
Latest Data Update: 2023-06-19
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2021-03-10
Download Stats: last 12 months
Dataset Size: 43.2K Files | 6TB


This dataset contains ERA5 initial release (ERA5t) model level analysis parameter data. ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.

Surface level analysis and forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.

Citable as:  European Centre for Medium-Range Weather Forecasts (2021): ECMWF ERA5t: model level analysis parameter data. Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: ECMWF, ERA, ERA5, reanalysis, analysis, surface level


Previous Info:

2021-03-10 NOTE - ERA5t data are provided to complement the ERA5 data by providing data from the end of the latest ERA5 data to close to t… Show More 2021-03-10 NOTE - ERA5t data are provided to complement the ERA5 data by providing data from the end of the latest ERA5 data to close to the present day. These will be maintained as a 6 month rolling archive to provide 3 months' worth of overlap with ERA5 products. Data are periodically checked for completeness and backfilling will occur when needed. Show Less

Previously used record identifiers:
No related previous identifiers.
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for an account to gain access.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data are generated by the ERA5 project at European Centre for Medium-Range Weather Forecasts (ECMWF) before being prepared by CEDA staff using the ECMWF system and uploaded to Centre for Environmental Data Analysis (CEDA) for ingestion into the archive. Data are translated over to a regular latitude-longitude grid and converted to netCDF format ahead of transfer to the CEDA system.

Data Quality:
ECMWF quality controlled data.
File Format:
Data are netCDF formatted with internal compression.

Process overview

This dataset was generated by the computation detailed below.

ECMWF ERA5 Re-analysis Model deployed on ECMWF Computer


This computation involved: ECMWF ERA5 Re-analysis Model deployed on ECMWF Computer. The data assimilation system used to produce ERA5 is based on the Integrated Forecasting System (IFS)Cycle 41r2 release, with several added features specifically developed for reanalysis. The many changes and improvements incorporated into the IFS represent a decade of research and development in modelling and data assimilation. The ERA5 reanalysis benefits from research conducted in the EU-funded ERA-CLIM and ERA-CLIM2 projects carried out by ECMWF and partners. These led to improved input data for the assimilating model that better reflects observed changes in climate forcings, as well as many new or reprocessed observations for data assimilation.

The system includes :

- Model input: Appropriate for climate (e.g. CMIP5 greenhouse gases, volcanic eruptions,
SST and sea-ice cover)
- Spatial resolution: 31 km globally, 137 levels to 0.01 hPa
- Uncertainty estimates - From a 10-member Ensemble of Data Assimilations (EDA) at 63 km resolution
- Output frequency: Hourly analysis and forecast fields, 3-hourly for the EDA
- Input observations: As in ERA-40 and from Global Telecommunication System. In addition, various newly reprocessed datasets and recent instruments that could not be ingested in ERA-Interim
- Variational bias scheme: Satellite radiances and also ozone, aircraft and surface pressure data
- Satellite data: RTTOV-11, all-sky for various components
- Additional innovations: Long-term evolution of CO2 in RTTOV, cell-pressure correction SSU, improved bias correction for radiosondes, EDA perturbations for sea-ice cover

Input Description


Output Description


Software Reference


  • units: m**2 s**-2
  • long_name: Geopotential
  • standard_name: geopotential
  • var_id: z
  • names: Geopotential, geopotential
  • units: ~
  • long_name: Logarithm of surface pressure
  • var_id: lnsp
  • names: Logarithm of surface pressure
  • units: kg kg**-1
  • long_name: Ozone mass mixing ratio
  • var_id: o3
  • names: Ozone mass mixing ratio
  • var_id: q
  • standard_name: specific_humidity
  • units: kg kg**-1
  • long_name: Specific humidity
  • names: specific_humidity, Specific humidity
  • units: K
  • standard_name: air_temperature
  • var_id: t
  • long_name: Temperature
  • names: Temperature, air_temperature
  • standard_name: eastward_wind
  • var_id: u
  • units: m s**-1
  • long_name: U component of wind
  • names: eastward_wind, U component of wind
  • standard_name: northward_wind
  • var_id: v
  • units: m s**-1
  • long_name: V component of wind
  • names: northward_wind, V component of wind
  • units: s**-1
  • var_id: vo
  • standard_name: atmosphere_relative_vorticity
  • long_name: Vorticity (relative)
  • names: Vorticity (relative), atmosphere_relative_vorticity
  • units: degrees_north
  • var_id: latitude
  • long_name: latitude
  • names: latitude
  • units: degrees_east
  • var_id: longitude
  • long_name: longitude
  • names: longitude
  • var_id: level
  • long_name: model_level_number
  • names: model_level_number
  • long_name: time
  • var_id: time
  • names: time

Co-ordinate Variables

Temporal Range
Start time:
End time:
Geographic Extent