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Table of Contents

Please be aware that the generation of this dataset is using an alternative source for the ERA5-land data and may be subject to changes over time (e.g. file format, data file structure, deprecation etc). This dataset should therefore be regarded as “experimental” and is not recommended for use in a production environment.

Notification of changes via the catalogue entry warning banner and/or in the Forum will be provided on best efforts.

Introduction

ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. It covers the period from January 1950 to the present with hourly sampling and continues to be extended forward with 5 days behind real time.

This dataset presented here is a subset of some parameters of the full CDS ERA5-Land single levels hourly dataset on 0.1 degrees resolution and is stored in Analysis Ready Cloud Optimised (ARCO) format, which has been implemented for retrieving long time-series for a single point in an efficient way. 

Methodology

The process to generate this dataset involves:

  • Fetching ERA5-Land data in GRIB format.
  • Apply homogenization conventions, as applicable:
    • Rename spatial coordinates to latitude, longitude.
    • Ensure latitude, longitude ranges are between [-90, +90], [-180, +180].
    • If the number of hourly samples is incomplete (less than 24) the date is skipped (e.g. 1950-01-01).
    • Time is expressed in one single dimension called time, which in ERA5-Land netCDFs is usually called valid_time.
    • Drop "number", "step", "surface", "valid_time" and "depthBelowLandLayer".
    • The accumulation variables (e.g. Total precipitation) are de-accumulated* to hourly resolution. 
  • Written to an ARCO Zarr archive (which is similar in structure to netCDF).
  • The CDS requests the data from the Zarr archive using xarray and writes the data to netCDF or CSV (as requested).

(*)  De-accumulation is the process of substracting to each hourly time sample its previous sample so that the final value expresses only the magnitude for that hour, and not for that hour plus the previous ones. The process takes into account the accumulation period of 24 hours, so that the first sample of every period is left as it is.

Data organization and access

The ARCO data is stored as Zarr datacubes.

The data is now available from the Climate Data Store (CDS), either interactively through its download web form or programmatically using the CDS API service:

ERA5-Land hourly time-series data on single levels from 1950 to present.

Spatial grid

The atmospheric parameters have a grid resolution of 0.1 degrees.

Please be aware when you select a "Location" on the form, the latitude and longitude values are rounded to the closest neighbourhood point of the 0.1 degrees grid.

Temporal frequency

Temporal frequency of the data is hourly and every day has 24 hourly steps.

Data format

In the CDS, there are the options of retrieving the data in NetCDF format or CSV format.

Parameters are stored in groups to ensure a proper access performance. The number of NetCDF files downloaded will be equal to total number of groups of all the parameters selected. Users can check the groups in the Parameters listings section below.

The file naming convention is:

reanalysis-era5-land-timeseries-sfc-groupnamerandomcharacters.[nc|csv]

Data update frequency

ERA5-Land is updated on a daily basis. New daily data in ERA5-Land becomes available in ERA5-Land hourly time-series in a few hours.

The availability of the data is of 5 days behind the actual date, this means that on the 24/04 users can download data for that day - 5 days = 19/04.

Variations in delivery times may occur due to the non-operational nature of this CDS service, as issues may arise which cause delays.

Parameters listings 

Table 1 below lists the surface and single level parameters (levtype=sfc).

Table 1: surface and single level parameters (instantaneous and accumulations)

CountNameUnitsVariable nameNotesGroup

1

2 metre temperatureK2m_temperature
2m temperature
22 metre dewpoint temperatureK2m_dewpoint_temperature
2m temperature
3Total precipitationmtotal_precipitationDe-accumulatedPressure and precipitation
4Surface pressurePasurface_pressure
Pressure and precipitation
510 metre V wind componentm s**-110m_v_component_of_wind
Wind
10 metre U wind componentm s**-110m_u_component_of_wind
Wind
7Surface solar radiation downwardsJ m**-2surface_solar_radiation_downwardsDe-accumulatedRadiation and heat
8Volumetric soil water layer 1m**3 m**-3volumetric_soil_water_layer_1
Soil water
9Volumetric soil water layer 2m**3 m**-3volumetric_soil_water_layer_2
Soil water
10Volumetric soil water layer 3m**3 m**-3volumetric_soil_water_layer_3
Soil water
11Volumetric soil water layer 4m**3 m**-3volumetric_soil_water_layer_4
Soil water
12Soil temperature level 1Ksoil_temperature_level_1
Soil temperature
13Soil temperature level 2Ksoil_temperature_level_2
Soil temperature
14Soil temperature level 3Ksoil_temperature_level_3
Soil temperature
15Soil temperature level 4Ksoil_temperature_level_4
Soil temperature
16Snow cover%snow_cover
Snow


Known issues

Please refer to the ERA5-Land documentation.

References

Further ERA5 references are available from the ECMWF website.

This document has been produced in the context of the Copernicus Climate Change Service (C3S).

The activities leading to these results have been contracted by the European Centre for Medium-Range Weather Forecasts, operator of C3S on behalf of the European Union (Delegation Agreement signed on 11/11/2014 and Contribution Agreement signed on 22/07/2021). All information in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose.

The users thereof use the information at their sole risk and liability. For the avoidance of all doubt , the European Commission and the European Centre for Medium - Range Weather Forecasts have no liability in respect of this document, which is merely representing the author's view.

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