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Dataset

 

Large ensemble of global mean temperatures: 6-hourly HadAM4 model run data using the Climateprediction.net platform

Update Frequency: Not Planned
Latest Data Update: 2023-02-01
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2023-06-26
DOI Publication Date: 2023-06-28
Download Stats: last 12 months
Dataset Size: 8.4K Files | 2TB

Abstract

Large ensembles of global temperature are provided for three climate scenarios: historical (2006-16), 1.5 C and 2.0 C above pre-industrial levels. Each scenario has 700 members (70 runs per year for 10-year periods) of 6-hourly mean temperatures at a resolution of 0.833 degrees x 0.556 degrees (longitude x latitude). The data was generated using the climateprediction.net (CPDN) climate simulation environment, to run the Met Office HadAM4 Atmosphere-only General Circulation Model (AGCM) from the UK Met Office Hadley Centre. Biases in simulated temperature were identified and corrected using quantile mapping with reference temperature data from ERA5 reanalysis.

Data were generated using the Met Office HadAM4 model at 6-hourly temporal resolution and 0.833 degrees x 0.556 degrees (longitude x latitude) over global domain. The data from each scenario is divided into 4 batches. Historic scenario (2006-2016): December-March data in Batch 889, April-May data in Batch 920, June-September data in Batch 901, October-November data in Batch 923. 1.5C scenario: December-March data in Batch 891, April-May data in Batch 921, June-September data in Batch 902, October-November data in Batch 924. 2.0C scenario: December-March data in Batch 895, April-May data in Batch 922, June-September data in Batch 903, October-November data in Batch 925.

Citable as:  Lizana, J.; Miranda, N.D.; Sparrow, S.; Zachau-Walker, M.; Watson, P.; Wallom, D.C.H.; McCulloch, M. (2023): Large ensemble of global mean temperatures: 6-hourly HadAM4 model run data using the Climateprediction.net platform. NERC EDS Centre for Environmental Data Analysis, 28 June 2023. doi:10.5285/9c41e3aa67024bbdad796290a861e968. https://dx.doi.org/10.5285/9c41e3aa67024bbdad796290a861e968
Abbreviation: Not defined
Keywords: HadAM4, Climateprediction.net

Details

Previous Info:
No news update for this record
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: 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 were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).

Data Quality:
Data are bias corrected by the data provider and technical validation applied.
File Format:
NetCDF

Related Documents

No documents related to this record were found.

Process overview

This dataset was generated by the computation detailed below.
Title

Computation for Large ensemble of global mean temperatures: 6-hourly HadAM4 model run data using the Climateprediction.net platform

Abstract

The global HadAM4 atmosphere and land surface model includes prognostic cloud, convection and gravity-wave drag parameterisation schemes, a radiation scheme that treats water vapour and ice crystals separately, and a land surface scheme, like its predecessor, HadAM3. The updates in HadAM4 include a mixed-phase precipitation scheme, parameterisation of ice cloud particle size and the radiative effects of non-spherical ice particles, and a revised boundary layer scheme. The version used here incorporates an upgrade to the spatial resolution, which matches the horizontal resolution of the HadGEM3-GC3.05 simulations analysed here. HadAM4 has 38 vertical levels.

Input Description

None

Output Description

None

Software Reference

None

  • units: K
  • standard_name: air_temperature
  • var_id: item3236_6hrly_mean
  • units: m
  • standard_name: height
  • var_id: height_0

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude0
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude0
  • standard_name: time
  • units: days
  • var_id: time0
Coverage
Temporal Range
Start time:
2006-12-01T00:00:00
End time:
2101-11-30T21:00:00
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°