Dataset
ECMWF ERA-Interim: reduced N256 Gaussian gridded surface level invariant parameter data (ggis)
Abstract
Surface level invariant parameters on a reduced N256 Gaussian grid from the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim programme.
The ERA-Interim global atmospheric reanalysis of the covers 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects
This subset of the ERA-Interim dataset contains 11 parameters.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
http://badc.nerc.ac.uk/view/badc.nerc.ac.uk__ATOM__ACTIVITY_d569e0f8-2d33-11e4-8d08-00163e251233
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| 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 ERA-Interim project at European Centre for Medium-Range Weather Forecasts (ECMWF) before being prepared by ECMWF and uploaded to Centre for Environmental Data Analysis (CEDA) for ingestion into the archive. |
| Data Quality: |
ECMWF quality controlled data.
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| File Format: |
Data are netCDF formatted.
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Process overview
| Title | ECMWF ERA-Interim Re-analysis Model deployed on ECMWF Computer |
| Abstract | This computation involved: ECMWF ERA-Interim Re-analysis Model deployed on ECMWF Computer. The data assimilation system used to produce ERA-Interim is based on a 2006 release of the IFS (Cy31r2). The system includes a 4-dimensional variational analysis (4D-Var) with a 12-hour analysis window. The spatial resolution of the data set is approximately 80 km (T255 spectral) on 60 vertical levels from the surface up to 0.1 hPa. |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- units: rad
- long_name: Angle of sub-gridscale orography
- var_id: ANOR
- names: Angle of sub-gridscale orography, ANOR
- long_name: Anisotropy of sub-gridscale orography
- var_id: ISOR
- names: ISOR, Anisotropy of sub-gridscale orography
- units: m**2 s**-2
- long_name: Geopotential
- standard_name: geopotential
- var_id: Z
- names: Geopotential, geopotential, Z
- units: (0 - 1)
- long_name: High vegetation cover
- var_id: CVH
- names: High vegetation cover, CVH
- units: (0 - 1)
- long_name: Land-sea mask
- standard_name: land_binary_mask
- var_id: LSM
- names: land_binary_mask, LSM, Land-sea mask
- units: (0 - 1)
- long_name: Low vegetation cover
- standard_name: geopotential_height_anomaly
- var_id: CVL
- names: CVL, Low vegetation cover, geopotential_height_anomaly
- long_name: Slope of sub-gridscale orography
- var_id: SLOR
- names: Slope of sub-gridscale orography, SLOR
- units: m
- long_name: Standard deviation of filtered subgrid orography
- standard_name: medium_cloud_area_fraction
- var_id: SDFOR
- names: Standard deviation of filtered subgrid orography, SDFOR, medium_cloud_area_fraction
- long_name: Standard deviation of orography
- var_id: SDOR
- names: Standard deviation of orography, SDOR
- long_name: Type of high vegetation
- var_id: TVH
- names: Type of high vegetation, TVH
- long_name: Type of low vegetation
- var_id: TVL
- names: TVL, Type of low vegetation
- units: degrees_north
- var_id: latitude
- long_name: latitude
- names: latitude
- units: degrees_east
- var_id: longitude
- long_name: longitude
- names: longitude
- units: level
- var_id: surface
- long_name: surface
- names: surface
- var_id: t
- long_name: t
- names: t
Co-ordinate Variables
Temporal Range
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Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |