This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

Dataset

 

ECMWF ERA5.1: surface level forecast parameter data for 2000-2006

Update Frequency: Not Planned
Latest Data Update: 2021-03-11
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2021-03-12
Download Stats: last 12 months
Dataset Size: 490.94K Files | 717GB

Abstract

This dataset contains ERA5.1 surface level forecast parameter data for the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). 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 and Model level analysis 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.

The main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store.

Citable as:  European Centre for Medium-Range Weather Forecasts (2021): ECMWF ERA5.1: surface level forecast parameter data for 2000-2006. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/54a44e3bdaa14ac8a95f63d91ef51ace/
Abbreviation: Not defined
Keywords: ECMWF, ERA, ERA5, reanalysis, analysis, surface level

Details

Previous Info:
No news update for this record
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 a CEDA account to gain access.
Use of these data is covered by the following licence(s):
https://artefacts.ceda.ac.uk/licences/specific_licences/ecmwf-era-products.pdf
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.

Process overview

This dataset was generated by the computation detailed below.
Title

ECMWF ERA5 Re-analysis Model deployed on ECMWF Computer

Abstract

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

None

Output Description

None

Software Reference

None

  • units: N m**-2
  • long_name: Mean eastward turbulent surface stress
  • var_id: metss
  • names: Mean eastward turbulent surface stress
  • units: N m**-2
  • long_name: Mean northward turbulent surface stress
  • var_id: mntss
  • names: Mean northward turbulent surface stress
  • units: W m**-2
  • long_name: Mean surface latent heat flux
  • var_id: mslhf
  • names: Mean surface latent heat flux
  • units: W m**-2
  • long_name: Mean surface net long-wave radiation flux
  • var_id: msnlwrf
  • names: Mean surface net long-wave radiation flux
  • units: W m**-2
  • long_name: Mean surface net short-wave radiation flux
  • var_id: msnswrf
  • names: Mean surface net short-wave radiation flux
  • units: W m**-2
  • long_name: Mean surface sensible heat flux
  • var_id: msshf
  • names: Mean surface sensible heat flux
  • units: degrees_north
  • var_id: latitude
  • long_name: latitude
  • names: latitude
  • units: degrees_east
  • var_id: longitude
  • long_name: longitude
  • names: longitude
  • long_name: time
  • var_id: time
  • names: time

Co-ordinate Variables

Coverage
Temporal Range
Start time:
2000-01-01T00:00:00
End time:
2006-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°