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Dataset

 

EUSTACE: Global daily air temperature combining surface and satellite data, with uncertainty estimates, for 1850-2015, v1.0

Update Frequency: Not Planned
Latest Data Update: 2019-05-30
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2019-05-30
DOI Publication Date: 2019-05-30
Download Stats: last 12 months
Dataset Size: 60.63K Files | 1TB

Abstract

This dataset consists of a global daily analysis of surface air temperature for the whole Earth since 1850, based on combined information from satellite and in situ data sources, including uncertainty estimates. This is v1.0 of the product, which has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project.

This product provides global mean air temperature data on a regular lat-lon grid with a grid spacing of 0.25 degrees, and provides daily data from 1850 to 2015. Uncertainty estimates are also provided, with both a 'total' uncertainty, and an ensemble of 10 samples. The mean temperature data and uncertainty estimates provided are consistent across a broad range of space and time scales from daily 0.25° to multidecadal global averages. The coverage is significantly better than is available from station data alone, and covers land, ocean and ice areas.

This data has been derived using a statistical method to estimate air temperatures at all places and times. It takes into account uncertainty in the input data sets covering errors in the in situ measurements, land station homogenisation and errors in the air temperatures estimated from satellite data . Although the statistical model estimates temperatures at all locations, the product is not globally complete, as areas with too few data to provide a reliable air temperature estimate have been masked out.

Citable as:  Morice, C.P.; Capponi, F.; Kennedy, J.J.; Killick, R.E.; Lindgren, F.; Mitchelson, J.R.; Rayner, N.A.; Winn, J.P. (2019): EUSTACE: Global daily air temperature combining surface and satellite data, with uncertainty estimates, for 1850-2015, v1.0. Centre for Environmental Data Analysis, 30 May 2019. doi:10.5285/468abcf18372425791a31d15a41348d9. https://dx.doi.org/10.5285/468abcf18372425791a31d15a41348d9
Abbreviation: Not defined
Keywords: EUSTACE, surface air temperature

Details

Previous Info:

2019-05-30 The product user guide for this dataset is in final preparation and will be added as a link to this record very soon. 2019-05-30 The product user guide for this dataset is in final preparation and will be added as a link to this record very soon.

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(s):
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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.

Data Quality:
validated by the data providers
File Format:
Data are in NetCDF format.

Process overview

This dataset was generated by the computation detailed below.
Title

Derivation of the EUSTACE Global daily air temperature combining surface and satellite data, with uncertainty estimates, for 1850-2015, v1.0

Abstract

Global mean surface air temperature measurements have been derived daily for the period between 1850-2015 based on combined information from satellite and in-situ data sources. This data has been derived using a statistical method to estimate air temperatures at all places and times. It takes into account uncertainty in the input data sets covering errors in the in situ measurements, land station homogenisation and errors in the air temperatures estimated from satellite data . Although the statistical model estimates temperatures at all locations, the product is not globally complete, as areas with too few data to provide a reliable air temperature estimate have been masked out. The derivation of this dataset and the statistical model used has been described further in the EUSTACE Scientific and Product User Guides.

Input Description

None

Output Description

None

Software Reference

None

  • units: K
  • standard_name: air_temperature
  • var_id: tas
  • long_name: Average daily surface air temperature
  • units: K
  • long_name: Average daily surface air temperature ensemble
  • var_id: tasensemble_9
  • units: days
  • long_name: Local time offset from UTC (days)
  • var_id: timeoffset
  • long_name: Observation influence for average daily surface air temperature
  • var_id: tasobservationinfluence
  • units: K
  • long_name: Total uncertainty in average daily surface air temperature
  • var_id: tasuncertainty
  • var_id: timebounds

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
  • var_id: time
  • long_name: Time at zero longitude
Coverage
Temporal Range
Start time:
1850-01-01T00:00:00
End time:
2015-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°