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EUSTACE: Global land station daily air temperature measurements with non-climatic discontinuities identified, for 1850-2015

Update Frequency: Not Planned
Latest Data Update: 2020-04-29
Status: Superseded
Online Status: ONLINE
Publication State: Citable
Publication Date: 2019-02-22
DOI Publication Date: 2019-02-22
Download Stats: last 12 months
Dataset Size: 169 Files | 19GB

This dataset has been superseded. See Latest Version here

This dataset consists of a global collection of land surface air temperature data from meteorological stations covering the period from 1850-2015. It has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project.

The dataset provides daily maximum and minimum temperatures from stations globally, brought together from a number of public databases: Global Historical Climatology Network Daily Temperatures (GHCN-D); European Climate Assessment & Dataset (ECA&D) non-blended; International Surface Temperature Initiative (ISTI); DECADE (Data on Climate and Extreme weather for the Central Andes); and ERA-CLIM (European Reanalysis of Global Climate Observations). These data have then been quality controlled through the removal of duplicates and unreliable data sources, and come with a large amount of additional information on quality, homogeneity and resolution.

This data is available for non-commercial use.

Citable as:  Brugnara, Y.; Brönnimann, S.; Good, E.J.; Squintu, A.A.; van der Schrier, G. (2019): EUSTACE: Global land station daily air temperature measurements with non-climatic discontinuities identified, for 1850-2015. Centre for Environmental Data Analysis, 22 February 2019. doi:10.5285/7925ded722d743fa8259a93acc7073f2.
Abbreviation: Not defined
Keywords: eustace, land surface temperature, station


Previous Info:

2020-06-17 Please note, an issue has been found with the "time" variable in the netcdf data files. All times are shifted by -4748 days (… Show More 2020-06-17 Please note, an issue has been found with the "time" variable in the netcdf data files. All times are shifted by -4748 days (i.e. 13 years).

To calculate the correct time, please add 4748 days to the time in the files. Show Less

Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data have been produced and archived for the EU EUSTACE project, which has received funding by the European Union's Horizon 2020 research and innovation programme under grant agreement no 640171.

This dataset is built on data from the following data collections:
Global Historical Climatology Network (GHCN)-Daily, European Climate Assessment & Dataset (ECA&D), International Surface Temperature Initiative (ISTI), the DECADE datasets for the Central Plateau in South America, and surface observations digitised during the ERA-CLIM project. (See the documentation section for references)

The following data providers also contributed to the full EUSTACE product, but data could not be redistributed due to licensing: Servicio Meteorológico Nacional (SMN); Royal Netherlands Meteorological Institute (KNMI); University of Bern

Data Quality:
Data have been quality controlled as described in the product user guide
File Format:
Data are in NetCDF format

Citations: 1

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Huerta, A., Bonnesoeur, V., Cuadros-Adriazola, J., Gutierrez, L., Ochoa-Tocachi, B. F., Román-Dañobeytia, F., & Lavado-Casimiro, W. (2022). PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru. Scientific Data, 9(1).

Process overview

This dataset was generated by the computation detailed below.

Derivation of the EUSTACE land station daily air temperature measurements with non-climatic discontinuities identified


The EUSTACE dataset, 'Global land station daily air temperature measurements with non-climatic discontinuities applied, for 1850-2015', has been produced by bringing together daily maximum and minimum temperatures from various public databases (GHCN-D, ECA&D, DECADE, ISTI and ERA-CLIM). These data have then been quality controlled through the removal of duplicates and unreliable data sources, and were assessed for homogenity by applying tests to look for breakpoints in the time series.
The data were also assessed to provide a rough estimation of the reporting resolution for each year in the series.

For further details see the EUSTACE product user guide.

The following datasets have been used as input:
Global Historical Climatology Network (GHCN)-Daily v3.22 (Menne, M. J., Durre, I., Vose, R. S., Gleason, B. E., & Houston, T. G. (2012). An overview of the global historical climatology network-daily database. Journal of Atmospheric and Oceanic Technology, 29(7), 897-910.); European Climate Assessment & Dataset (ECA&D) – October 2016 update (Klein-Tank, A., Wijngaard, J. B., Können, G. P., Böhm, R., Demarée, G., Gocheva, A., et al. (2002). Daily dataset of 20th‐century surface air temperature and precipitation series for the European Climate Assessment. International Journal of Climatology, 22(12), 1441-1453.); International Surface Temperature Initiative (ISTI) v1.00 (Rennie, J. J., Lawrimore, J. H., Gleason, B. E., Thorne, P. W., Morice, C. P., Menne, M. J., et al. (2014). The international surface temperature initiative global land surface databank: Monthly temperature data release description and methods. Geoscience Data Journal, 1(2), 75-102.); Project DECADE (Hunziker, S., Gubler, S., Calle, J., Moreno, I., Andrade, M., Velarde, F., et al. (2017). Identifying, attributing, and overcoming common data quality issues of manned station observations. International Journal of Climatology, 37(11), 4131-4145.); Projects ERA-CLIM / ERA-CLIM2 (Stickler, A., Brönnimann, S., Valente, M. A., Bethke, J., Sterin, A., Jourdain, S., et al. (2014). ERA-CLIM: historical surface and upper-air data for future reanalyses. Bulletin of the American Meteorological Society, 95(9), 1419-1430.)

Input Description


Output Description


Software Reference


  • long_name: Breakpoint time (days)
  • var_id: tasmin_break_time
  • standard_name: air_temperature status_flag
  • long_name: Data policy flags
  • var_id: data_policy
  • long_name: Data source flags
  • standard_name: air_temperature status_flag
  • var_id: data_source
  • standard_name: air_temperature status_flag
  • long_name: Definition flags (see ECA&D and ISTI documentation)
  • var_id: tasmin_definition
  • standard_name: air_temperature status_flag
  • long_name: Feasibility of detection flag
  • var_id: detection_feasibility
  • units: m
  • var_id: elevation
  • standard_name: surface_altitude
  • long_name: Height above the geoid (m)
  • long_name: Index of station at which break was detected
  • var_id: tasmin_break_station
  • standard_name: air_temperature status_flag
  • long_name: Likelihood of breakpoint
  • var_id: merged_break_likelihood
  • units: K
  • standard_name: air_temperature
  • var_id: tasmax
  • long_name: Maximum daily surface air temperature (K)
  • units: K
  • standard_name: air_temperature
  • var_id: tasmin
  • long_name: Minimum daily surface air temperature (K)
  • standard_name: air_temperature status_flag
  • long_name: Number of tests that detected the breakpoint
  • var_id: tasmin_break_count
  • standard_name: air_temperature status_flag
  • long_name: Quality control flags (see GHCN-D documentation)
  • var_id: tasmin_qc
  • standard_name: air_temperature status_flag
  • long_name: Score for break detection
  • var_id: tasmin_detectability
  • standard_name: air_temperature status_flag
  • long_name: Season of breakpoint
  • var_id: tasmin_break_season
  • long_name: Station code
  • var_id: station_code
  • long_name: Station name
  • var_id: station_name
  • standard_name: air_temperature status_flag
  • long_name: Type of breakpoint
  • var_id: tasmin_break_type
  • units: K
  • long_name: Worst reporting resolution in maximum daily surface air temperature (K)
  • var_id: tasmax_reporting_resolution
  • units: K
  • long_name: Worst reporting resolution in minimum daily surface air temperature (K)
  • var_id: tasmin_reporting_resolution

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude
  • long_name: Latitude (deg)
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude
  • long_name: Longitude (deg)
  • standard_name: time
  • long_name: Start time of period for break detection status report (days)
  • var_id: detection_time
  • standard_name: time
  • long_name: Start time of period for resolution evaluation (days)
  • var_id: resolution_time
  • standard_name: time
  • var_id: time
  • long_name: Time (days)
Temporal Range
Start time:
End time:
Geographic Extent