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  ERA5-Land daily: Surface temperature (2000 - 2020)

Overview:

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. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past.

Surface temperature:

Temperature of the surface of the Earth. The skin temperature is the theoretical temperature that is required to satisfy the surface energy balance. It represents the temperature of the uppermost surface layer, which has no heat capacity and so can respond instantaneously to changes in surface fluxes.

The original ERA5-Land dataset (period: 2000 - 2020) has been reprocessed to:

- aggregate ERA5-Land hourly data to daily data (minimum, mean, maximum)

- while increasing the spatial resolution from the native ERA5-Land resolution of 0.1 degree (~ 9 km) to 30 arc-sec (~ 1 km) by image fusion with CHELSA data (V1.2) (https://chelsa-climate.org/).

For each day we used the corresponding monthly long-term average of CHELSA. The aim was to use the fine spatial detail of CHELSA and at the same time preserve the general regional pattern and fine temporal detail of ERA5-Land. The steps included aggregation and enhancement, specifically:

1. spatially aggregate CHELSA to the resolution of ERA5-Land

2. calculate difference of ERA5-Land - aggregated CHELSA

3. interpolate differences with a Gaussian filter to 30 arc seconds

4. add the interpolated differences to CHELSA

Data available is the daily average, minimum and maximum of surface temperature.

Software used:

GDAL 3.2.2 and GRASS GIS 8.0.0 (r.resamp.stats -w; r.relief)

Original ERA5-Land dataset license:

https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf

CHELSA climatologies (V1.2):

Data used: Karger D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E, Linder, H.P., Kessler, M. (2018): Data from: Climatologies at high resolution for the earth's land surface areas. Dryad digital repository. http://dx.doi.org/doi:10.5061/dryad.kd1d4

Original peer-reviewed publication: Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, P., Kessler, M. (2017): Climatologies at high resolution for the Earth land surface areas. Scientific Data. 4 170122. https://doi.org/10.1038/sdata.2017.122

 
Citation proposal
(2021) . ERA5-Land daily: Surface temperature (2000 - 2020). https://gdk.gdi-de.org/geonetwork/srv/api/records/a72f738b-6704-4d00-98d7-a83f61346560
 
  • INSPIRE
  • SDS

INSPIRE

Identification

File identifier
a72f738b-6704-4d00-98d7-a83f61346560   XML
Hierarchy level
Dataset
Online resource
Protocol
WWW:DOWNLOAD-1.0-http--download
Resource identifier
Metadata language
English
Spatial representation type
Grid
Encoding
Format
GeoTIFF
Version
Projection
code
WGS 84 (EPSG:4326)
 

Classification of data and services

Topic category
  • Environment
  • Geoscientific information
  • Health
  • Climatology, meteorology, atmosphere
 

Classification of data and services

Coupled resource
Coupled resource
 
 

Classification of data and services

Coupled resource
Coupled resource
 
 

Keywords

GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Meteorological geographical features
Continents, countries, sea regions of the world. ( Place )
  • Europe
Other keywords
Keywords ( Theme )
  • surface temperature
Keywords ( Theme )
  • MOOD-H2020
  • Tularaemia
  • Lyme
  • TBE
  • WNV
  • USUTU
  • Mosquito borne Flaviviruses
 
 

Geographic coverage

N
S
E
W


 

Temporal reference

Temporal extent
Temporal extent
Date ( Publication )
2021-10-26
 

Quality and validity

Lineage
Dataset has been processed from original Copernicus Climate Data Store (ERA5-Land) data sources. As auxiliary data CHELSA climate data has been used.
Distance
1  km
 

Conformity

Conformity
Conformity
 

Conformity

Conformity
Conformity
Explanation
See specified reference
 

Restrictions on access and use

Access constraints
Licence to Use Copernicus Products (Version 1.2, Nov. 2019): "All users of Copernicus Products must provide clear and visible attribution to the Copernicus programme. The Licensee will communicate to the public the source of the Copernicus Products by crediting the Copernicus Climate Change and Atmosphere Monitoring Services" (full licence available here: https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf
Access constraints
{ "id": "other-open", "name": "Licence to Use Copernicus Products", "url": "https://ads.atmosphere.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf", "quelle": "Source: Copernicus Programme" }
 

Restrictions on access and use

 

Responsible organization (s)

Contact for the resource
Organisation name
mundialis GmbH & Co. KG
Email
info@mundialis.de
 

Responsible organization (s)

Contact for the resource
Organisation name
mundialis GmbH & Co. KG
Email
info@mundialis.de
 

Metadata information

Contact for the metadata
Organisation name
mundialis GmbH & Co. KG
Email
info@mundialis.de
Date stamp
2025-03-07T14:18:43
Metadata language
English
Character set
UTF8
 
 

SDS

Conformance class 1: invocable

Access Point URL
Endpoint URL
Technical specification
 

Conformance class 2: interoperable

Coordinate reference system
 
Quality of Service
 
Access constraints
Limitation
 
Use constraints
Limitation
 
Responsible custodian
Contact for the resource
 
 

Conformance class 3: harmonized

 
 

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a72f738b-6704-4d00-98d7-a83f61346560   Access to the portal Read here the full details and access to the data.

  Associated resources

Not available


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