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Dataset

 

CMIP5 20-Year AR5 Climatology Data for the IPCC DDC

Latest Data Update: 2017-10-02
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2018-05-22
Download Stats: last 12 months
Dataset Size: 4.84K Files | 27GB

Abstract

CMIP5 monthly mean climatology fields matching those given in IPCC WG1 AR5 Annex I: Atlas of Global and Regional Climate Projections in Climate Change 2013, the Fifth Assessment Report (AR5) of the United Nations Intergovernmental Panel on Climate Change (IPCC).
Climatologies have been calculated for global fields of Specific Humidity, Precipitation, Sea Level Pressure, Temperature, Wind and Downwelling Shortwave Radiation (Stoker et. al., 2013). The CMIP5 climatologies, calculated by the Centre for Environmental Data Analysis (CEDA), match those described in table AI.1 in Stoker et al (2013). Twenty-year AR5 climatologies and climatological anomalies are calculated for the averaging periods 2016-2035, 2046-2065, 2081-2100 for the CMIP5 scenario experiments rcp26, rcp45, rcp60 and rcp85. The climatologies are of global scope and are provided on latitude-longitude grids.

Citable as:  Centre for Environmental Data Analysis (2018): CMIP5 20-Year AR5 Climatology Data for the IPCC DDC. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/d269d748cafe40ec8601125caf5cb2fa/
Abbreviation: Not defined
Keywords: IPCC, AR5, CMIP5, Climatologies, piControl, 1pctCO2, historical, scenarios, rcp26, rcp45, rcp60, rcp85

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(s):
https://artefacts.ceda.ac.uk/licences/missing_licence.pdf
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Climatologies and climatological anomalies have been calculated at CEDA from CMIP5 model output.

Time Periods:
- AR5 averaging periods: 2016-2035, 2046-2065, 2081-2100

Anomaly Specification:
All values are taken as anomalies from the 1986->2005 mean (base line values).

Output:
- Period mean of the monthly mean of the variables
- 12 monthly values per climatology
- Climatology is a 2D field
- One climatology per model per scenario per variable per time period
- CF compliant netCDF files

Directory Structure:
The output directory structure follows the DRS specification with the root directory being /derived.
Each file has the extended attribute: clim-anom-ref5. This indicates that it is a climatological mean anomaly (clim-anom) and that the reference period matches the AR5 reference period (ref5).

Method:
The algorithm follows the process below:

- For every model:
- For every variable (if available):
calculate the 1986->2005 climatological (period average) monthly means (baseline) for the Historical experiment

- For every model:
- For every variable (if available):
calculate the period average monthly means (baseline) of the last 20 years of the piControl run

- For every model:
- For every experiment:
- For every time period:
- For every variable (if available):
calculate the climatological monthly mean for this (model, experiment, time period, variable) and subtract the relevant baseline

Code:
https://github.com/cedadev/ipcc_ddc_cmip5_clim_anoms/releases/tag/1.0

File Format:
NetCDF

Process overview

  • units: K
  • standard_name: air_temperature
  • var_id: tasmax
  • long_name: Daily Maximum Near-Surface Air Temperature
  • units: K
  • standard_name: air_temperature
  • var_id: tasmin
  • long_name: Daily Minimum Near-Surface Air Temperature
  • units: m s-1
  • standard_name: eastward_wind
  • var_id: uas
  • long_name: Eastward Near-Surface Wind
  • units: m s-1
  • standard_name: eastward_wind
  • var_id: uas
  • long_name: Eastward Near-Surface Wind Speed
  • units: m s-1
  • standard_name: eastward_wind
  • var_id: ua
  • long_name: Eastward Wind
  • units: days
  • long_name: Length of average period
  • var_id: average_DT
  • units: K
  • standard_name: air_temperature
  • var_id: tas
  • long_name: Near-Surface Air Temperature
  • units: 1
  • standard_name: specific_humidity
  • var_id: huss
  • long_name: Near-Surface Specific Humidity
  • units: m s-1
  • standard_name: northward_wind
  • var_id: vas
  • long_name: Northward Near-Surface Wind
  • units: m s-1
  • standard_name: northward_wind
  • var_id: vas
  • long_name: Northward Near-Surface Wind Speed
  • units: m s-1
  • standard_name: northward_wind
  • var_id: va
  • long_name: Northward Wind
  • var_id: pr
  • units: kg m-2 s-1
  • standard_name: precipitation_flux
  • long_name: Precipitation
  • units: Pa
  • var_id: psl
  • standard_name: air_pressure_at_sea_level
  • long_name: Sea Level Pressure
  • long_name: Shortwave Radiation
  • gcmd_url: http://vocab.ndg.nerc.ac.uk/term/P141/4/GVAR0755
  • gcmd_keyword: Shortwave Radiation
  • names: Shortwave Radiation, http://vocab.ndg.nerc.ac.uk/term/P141/4/GVAR0755
  • units: 1
  • standard_name: specific_humidity
  • var_id: hus
  • long_name: Specific Humidity
  • units: W m-2
  • standard_name: surface_downwelling_shortwave_flux_in_air
  • var_id: rsds
  • long_name: Surface Downwelling Shortwave Radiation
  • units: m
  • standard_name: height
  • var_id: height
  • long_name: height
  • var_id: lat_bnds
  • var_id: lon_bnds
  • var_id: plev_bnds
  • units: Pa
  • standard_name: air_pressure
  • long_name: pressure
  • var_id: plev

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • long_name: latitude
  • var_id: lat
  • units: degrees_east
  • standard_name: longitude
  • long_name: longitude
  • var_id: lon
  • long_name: time
  • standard_name: time
  • var_id: time
Coverage
Temporal Range
Start time:
2016-01-01T00:00:00
End time:
2100-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°