Contributors: Marco Cucchi ( B-Open) , Vivien Mavel ( B-Open) , Chiara Cagnazzo (ECMWF), Marie-Louise John (ECMWF), Niclas Rieger (ECMWF)

Issued by: B-Open / Marco Cucchi

Issued Date: 12/12/2025

Ref:   C3S2_420a_Provision_of_WFDE5_extension 

Official reference number service contract: 2024/C3S2_420a_B-Open

Table of Contents

Executive   summary

The W5E5 dataset [1] was compiled to support the bias adjustment of climate input data for the impact assessments carried out in phase 3b of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3b). It consists of 14 variables (see Table 1 ) with a daily temporal resolution on a regular longitude-latitude half-degree grid, with global spatial coverage. W5E5 is a merged dataset, which combines WFDE5 [2] data over land with ERA5 reanalysis [3] data over the ocean. In addition, it makes use of the Global Precipitation Climatology Project (GPCP) data [3] for precipitation data rescaling. Details about the different versions of the W5E5 dataset can be found in Table 2.

W5E5 v3.0 is distributed through the C3S Climate Data Store as monthly files in netCDF format. It uses a full half-degree grid (720 × 360 grid boxes) covering the whole globe. See Table 3 for a summary of all the input datasets used for W5E5 v3.0, and Table 4 for a description of of the dataset's general attributes.

 Table 1: W5E5 variables summary

Name

Long nameDescription

Units

Time coverage

mask

WFDE5-ERA5 mask

A mask indicating whether the W5E5 data is derived from WFDE5 (1) or from ERA5 (0).

1

-

orog

Surface altitude

The land surface altitude used for elevation corrections in WFDE5.

m

-

sfcWind

Near-surface wind speed

The horizontal speed of the wind, or movement of air, at a height of 10 metres above the surface of the Earth. Values are derived from ERA5 near-surface wind speed.

m s-1

1979-01-01 to 2024-12-31

tas

Near-surface air temperature

The temperature of air at 2 metres above the surface of land, sea or inland waters. Values are derived from ERA5 2m air temperature with an elevation correction and bias correction using CRU mean monthly temperature and mean diurnal temperature range.

K

1979-01-01 to 2024-12-31

tasmax

Daily maximum near-surface air temperature

Over land the W5E5 Daily maximum near-surface air temperature is the daily maximum of hourly WFDE5 Near-surface air temperature. Over the ocean, the W5E5 data is based on temporally (from hourly to daily resolution) and spatially (from 0.25° to 0.5° horizontal resolution) aggregated ERA5 Near-surface air temperature.

K

1979-01-01 to 2024-12-31

tasmin

Daily minimum near-surface air temperature

Over land the W5E5 Daily minimum near-surface air temperature is the daily minimum of hourly WFDE5 near-surface air temperature. Over the ocean, the W5E5 data is based on temporally (from hourly to daily resolution) and spatially (from 0.25° to 0.5° horizontal resolution) aggregated ERA5 near-surface air temperature.

K

1979-01-01 to 2024-12-31

ps

Surface air pressure

The pressure (force per unit area) of the atmosphere at the surface of land, sea and inland water. Values are derived from ERA5 surface air pressure with an elevation correction.

Pa

1979-01-01 to 2024-12-31

psl

Sea level pressure

Over land the W5E5 Sea level pressure (psl) is the daily mean of hourly psl computed from hourly WFDE5 Surface altitude (orog), Surface air pressure (ps), and Near-surface temperature (tas) according to psl = ps * exp((g * orog) / (r * tas)), where g is gravity, and r is the specific gas constant of dry air. Over the ocean, W5E5 psl is based on temporally (from hourly to daily resolution) and spatially (from 0.25° to 0.5° horizontal resolution) aggregated ERA5 psl.

Pa

1979-01-01 to 2024-12-31

huss

Near-surface specific humidity

The amount of moisture in the air divided by amount of air plus moisture at that location. Values are derived from ERA5 vapor pressure and saturation vapor pressure with an elevation correction.

kg kg-1

1979-01-01 to 2024-12-31

hurs

Near-surface relative humidity

Over land the W5E5 Near-surface relative humidity (hurs) is the daily mean of hourly hurs computed from hourly WFDE5 Near-surface specific humidity, Surface air pressure, and Near-surface air temperature using the equations of Buck (1981) as described in Buck (2010). Over the ocean, the W5E5 hurs is based on temporally (from hourly to daily resolution) and spatially (from 0.25° to 0.5° horizontal resolution) aggregated ERA5 hurs.

kg kg-1

1979-01-01 to 2024-12-31

rlds

Surface downwelling longwave radiation

The amount of thermal (also known as longwave or terrestrial) radiation emitted by the atmosphere and clouds that reaches a horizontal plane at the surface of the Earth. Values are derived from ERA5 surface downwelling longwave radiation with an elevation correction.

W m-2

1979-01-01 to 2024-12-31

rsds

Surface downwelling shortwave radiation

The amount of solar radiation (also known as shortwave radiation) that reaches a horizontal plane at the surface of the Earth. This parameter comprises both direct and diffuse solar radiation. Values are derived from ERA5 surface downwelling shortwave radiation and bias corrected using CRU cloud cover and effects of inter-annual changes in atmospheric aerosol loading.

W m-2

1979-01-01 to 2024-12-31

pr

Precipitation

Over land the W5E5 Precipitation (pr) is the daily mean of the sum of hourly WFDE5 rainfall and snowfall. Over the ocean, the W5E5 pr is based on temporally (from hourly to daily resolution) and spatially (from 0.25° to 0.5° horizontal resolution) aggregated ERA5 Precipitation.

kg m-2 s-1

1979-01-01 to 2020-12-31

prsn

Snowfall flux

The rate of snow that falls to the Earth's surface. Values are derived from ERA5 total precipitation and snowfall and are bias corrected primarily using precipitation data from CRU and GPCC.

kg m-2 s-1

1979-01-01 to 2020-12-31

Table 2: W5E5 versions history

Versions

Observational datasets used

Software version used

Changes from previous version

v3.0

WFDE5 Python software v2.1.0

-

v3.1

WFDE5 Python software v2.1.2

  • Fix low Snowf bias (see Known issues section) 

Table 3: Input dataset

Dataset

Summary

Variables used

ERA5

ECMWF reanalysis product

  • Geopotential
  • 10 m u-component of wind
  • 10 m v-component of wind
  • 2 m temperature
  • Surface pressure
  • 2 m dewpoint temperature
  • Mean surface downward longwave radiation flux
  • Mean surface downward shortwave radiation flux
  • Total precipitation
  • Snowfall

WFDE5v3.0

Near surface meteorological variables from 1979 to 2024 derived from bias-corrected reanalysis

  • Grid-points altitude
  • Near-surface wind speed
  • Near-surface air temperature
  • Surface air pressure
  • Near-surface specific humidity
  • Surface downwelling longwave radiation
  • Surface downwelling shortwave radiation
  • Rainfall flux (CRU+GPCC corrected)
  • Snowfall flux (CRU+GPCC corrected)

GPCPv2.3

Global Precipitation Climatology Project data

  • Precipitation

Table 4: W5E5 dataset general attributes

Dataset attribute

Details

Horizontal coverage

Global

Horizontal resolution

0.5° x 0.5°

Vertical coverage

Surface

Temporal coverage

Depends on variable (see Table 2)

Temporal resolution

Daily

File format

netCDF

Data type

Grid

Versions

v3.0


Algorithms Description

The algorithms used for the generation of W5E5 v3.0 are identical to the ones used for the generation of previous versions v1.0 and v2.0, and are described at [1] . For the generation of W5E5 v3.0, a Python implementation of these algorithm has been developed and used, and is available for download in the "Documentation" tab of the dataset's CDS catalogue entry.

Data Description

File naming convention

File names adhere to the following convention:

<var>_W5E5_<YYYYMM>_v<version>.nc, 

where

  • <var>: variable name, as in Table 1

  • <YYYYMM>: year and month (where applicable)
  • <version>: W5E5 dataset version

As an example, possible file names are:

File content

Actual file content and dimensions size varies from month to month and depending on the variable, but the general file structure is constant and analogous to the following example:

netcdf tas_W5E5_201801_v3.0 {
dimensions:
	lat = 360 ;
	lon = 720 ;
	time = 31 ;
variables:
	double lat(lat) ;
		lat:_FillValue = NaN ;
		lat:long_name = "Latitude" ;
		lat:standard_name = "latitude" ;
		lat:units = "degrees_north" ;
		lat:axis = "Y" ;
	double lon(lon) ;
		lon:_FillValue = NaN ;
		lon:long_name = "Longitude" ;
		lon:standard_name = "longitude" ;
		lon:units = "degrees_east" ;
		lon:axis = "X" ;
	int64 time(time) ;
		time:long_name = "Time" ;
		time:standard_name = "time" ;
		time:axis = "T" ;
		time:units = "hours since 1900-01-01" ;
		time:calendar = "proleptic_gregorian" ;
	float tas(time, lat, lon) ;
		tas:_FillValue = 1.e+20f ;
		tas:units = "K" ;
		tas:long_name = "Near-Surface Air Temperature" ;
		tas:standard_name = "air_temperature" ;

// global attributes:
		:title = "WFDE5 over land merged with ERA5 over the ocean (W5E5) version 3.0" ;
		:institution = "Potsdam Institute for Climate Impact Research (PIK) & European Center for Medium Range Weather Forecast (ECMWF) under Copernicus Climate Change Service" ;
		:project = "Inter-Sectoral Impact Model Intercomparison Project phase 3 (ISIMIP3)" ;
		:contact = "ISIMIP cross-sectoral science team <info@isimip.org> <https://www.isimip.org>; ECMWF Support Portal <http://copernicus-support.ecmwf.int>" ;
		:summary = "WFDE5 (with GPCC precipitation correction) over land merged with ERA5 (with GPCP precipitation correction) over the ocean for ISIMIP3" ;
		:references = "Cucchi et al. (2020) <https://doi.org/10.5194/essd-12-2097-2020> and Lange et al. (2021) <https://doi.org/10.48364/ISIMIP.342217> for W5E5; Weedon et al. (2014) <https://dx.doi.org/10.1002/2014WR015638> and Cucchi et al. (2020) <https://doi.org/10.5194/essd-12-2097-2020> for WFDE5; Hersbach et al. (2020) <https://dx.doi.org/10.1002/qj.3803> and Copernicus Climate Change Service Climate Data Store (2017) <https://cds.climate.copernicus.eu/#!/home> for ERA5" ;
		:version = "3.0" ;
		:Conventions = "CF-1.7" ;
}

Known issues

W5E5 v3.0 inherits the precipitation phase partitioning error present in WFDE5 v3.0 over land. In W5E5, daily precipitation (pr) and snowfall (prsn) over land are derived from daily mean WFDE5 rainfall and snowfall fields. As a result, in some cold-season land regions, snowfall is underestimated and rainfall is overestimated, while total precipitation is not affected. Over ocean areas, W5E5 is derived from daily ERA5 fields rescaled to match GPCP monthly precipitation totals, and these ocean values are therefore not affected by this issue. The problem has been corrected in W5E5 v3.1.


Figure 1: Mean annual W5E5 snowfall for versions v3.0 and v3.1. The lower panels show the snowfall ratio v3.1 / v3.0 and the snowfall difference v3.1 - v3.0. The correction affects land areas only, whereas ocean areas remain unchanged, consistent with the W5E5 construction method.

Figure 2: Monthly snowfall, rainfall and total precipitation at representative ocean, lowland land and mountain land locations for W5E5 versions v3.0 and v3.1. Differences between the two versions are visible over land, especially in cold months, while the ocean series remain essentially unchanged.

Licence and Citation

The described dataset is distributed under the Licence to Use Copernicus Products. The corrections applied are based upon CRU TS 4.09, distributed under the Open Government Licence (OGL), and GPCP/v2.3 monthly, distributed under the GPCP product license.

If publishing using this dataset please cite [1], where a more detailed description of the dataset can be found.


References

[1]    Lange, Stefan (2019): WFDE5 over land merged with ERA5 over the ocean (W5E5). V. 1.0. GFZ Data Services. https://doi.org/10.5880/pik.2019.023

[2]    M. Cucchi, G. P. Weedon, A. Amici, N. Bellouin, S. Lange, H. M. Schmied, H. Hersbach, C. Buontempo, "WFDE5: bias-adjusted ERA5 reanalysis data for impact studies", Earth System Science Data, https://essd.copernicus.org/articles/12/2097/2020, 2020.

[3]    Copernicus Climate Change Service (C3S), "ERA5: Fifth generation of ECMWF atmospheric reanalysis of the global climate", C3S Climate Data Store (CDS), 2017, https://cds.climate.copernicus.eu/.

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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