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Dataset

 

30 year climatologies from model output as used in the 2001 IPCC Third Assessment Report (TAR)

Latest Data Update: 2007-09-14
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2021-06-01
Download Stats: last 12 months
Dataset Size: 3.19K Files | 619MB
Abstract

Data used in Climate Change 2001, the Third Assessment Report (TAR) of the United Nations Intergovernmental Panel on Climate Change (IPCC).

Simulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC).
Climatology data calculated from global climate model simulations of experiments representative of Special Report on Emission Scenarios (SRES) scenarios: A1F, A1T, A1a, A2a, A2b, A2c, B1a, B2b.
The climatologies are 30-year averages. Climate anomalies are expressed relative to the period 1961-1990. The monthly climatology data covers the period from 1961-2100. The climatologies are of global scope and are provided on latitude-longitude grids.

Citable as:   (2021): 30 year climatologies from model output as used in the 2001 IPCC Third Assessment Report (TAR). NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/eca40c1addba4d0782aa7fd45e998c81
Abbreviation: Not defined
Keywords: IPCC, DDC, TAR, SRES, Climate Change

Details

Previous Info:
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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://creativecommons.org/licenses/by/4.0/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Climatology data calculated from global climate model simulations for SRES experiments A1F, A1T, A1a, A2a, A2b, A2c, B1a, B2b.
The climatologies are 30-year averages. Climate anomalies are expressed relative to the period 1961-1990.

The Models.
CCCma: The atmospheric component AGCM2 is a spectral model with triangular truncation at wave no. 32 and 10 vertical levels. The ocean model component based on the GFDL MOM 1.1 code with 29 vertical levels and has a isopycnal / eddy stirring parameterization.
CSIRO: The Mark 2 CSIRO coupled global climate model consists of the atmospheric component which has 9 vertical levels with a R21 horizontal resolution and the ocean component which was based on the GFDL code.
ECHAM4: The model consists of the atmospheric component which based on the weather forecast model of ECMWF. The atmosphere component is the standard model version of a 19-level hybrid sigma-pressure coordinate system. The ocean component is a model which computes with isopycnal coordinates.
GFDL: The atmospheric component solves the primitive equations using a spectral transform method, GFDL_R30 means a rhomboidal 30 truncation and the ocean component solves the primitive equation of motion using the Boussinesq, rigid-lid and hydrostatic approximation and based on GFDL Modular Ocean Model version 1.
HadCM3: The Hadley Centre Circulation Model is a 3-dim AOGCM. The atmospheric component has a 19 levels, the horizontal resolution is comparable with a spectral resolution of T42, while the ocean component has a 20 levels resolution.
NIES: The model developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. .

The SRES Experiments.
A1B Globalisation with rapid economic growth and a balanced emphasis on all energy sources.
A1T Globalisation with rapid economic growth and an emphasis on non-fossil energy sources.
A1FI Globalisation with rapid economic growth and an emphasis on fossil fuels (Fossil Intensive).
A2 Regionalisation with regionally oriented economic development. A2a, A2b and A2c follow the same experiment design and historic and future forcings but start from different initial conditions.
B1 Globalisation with global environmental sustainability.
B2 Regionalisation with local environmental sustainability. B2a and B2b follow the same experiment design and historic and future forcings but start from different initial conditions.

Notes.
* TAR uses CMIP2 simulations.
* Only two models have run all the experiments.
File Format:
netcdf

Related Documents

 Special Report on Emission Scenarios (SRES)
 Climate Change 2001: The Scientific Basis
 CSIRO
 ECHAM
 GFDL
 HadCM3
 CCCma

Process overview

  • units: gpm
  • long_name: 200 hPa Height
  • var_id: hgt200_chg
  • units: C
  • long_name: 200 hPa Mean Temperature
  • var_id: tmp200_chg
  • units: kg/kg
  • long_name: 200 hPa Specific Humidity
  • var_id: spfh200_chg
  • units: m/g
  • long_name: 200 hPa u-Wind
  • var_id: ugrd200_chg
  • units: m/g
  • long_name: 200 hPa u-Wind Variance
  • var_id: uvar200_chg
  • units: m/g
  • long_name: 200 hPa v-Wind Variance
  • var_id: vvar200_chg
  • units: m/g
  • long_name: 200 hPa v-wind
  • var_id: vgrd200_chg
  • units: gpm
  • long_name: 500 hPa Height
  • var_id: hgt500_chg
  • units: C
  • long_name: 500 hPa Mean Temperature
  • var_id: tmp500_chg
  • units: kg/kg
  • long_name: 500 hPa Specific Humidity
  • var_id: spfh500_chg
  • units: gpm
  • long_name: 500 hPa height variance
  • var_id: hgtvar500_chg
  • units: m/g
  • long_name: 500 hPa u-Wind
  • var_id: ugrd500_chg
  • units: m/g
  • long_name: 500 hPa v-wind
  • var_id: vgrd500_chg
  • units: u-Wind (m/g
  • long_name: 850 hPa
  • var_id: ugrd850_chg
  • units: gpm
  • long_name: 850 hPa Height
  • var_id: hgt850_chg
  • units: C
  • long_name: 850 hPa Mean Temperature
  • var_id: tmp850_chg
  • units: kg/kg
  • long_name: 850 hPa Specific Humidity
  • var_id: spfh850_chg
  • units: m/g
  • long_name: 850 hPa v-wind
  • var_id: vgrd850_chg
  • units: mm/day
  • long_name: Convective Precipitation
  • var_id: precc
  • units: kg/m2/s
  • long_name: Convective rainfall
  • var_id: conr_chg
  • units: kg/m2/s
  • long_name: Convective snowfall
  • var_id: cons_chg
  • units: C
  • long_name: Dew Point Temperature (2m)
  • var_id: dew2_chg
  • units: mm/day
  • long_name: Large Scale Precipitation
  • var_id: precl
  • units: C
  • long_name: Maximum Temperature
  • var_id: tmax_chg
  • var_id: tmax_chg
  • units: Celsius)
  • long_name: Maximum daily 1.5 m temperature (Degrees
  • units: m/g
  • long_name: Mean Scalar Wind Speed
  • var_id: wind_chg
  • units: hPa
  • long_name: Mean Sea Level Pressure
  • var_id: mslp_chg
  • units: C
  • long_name: Mean Temperature
  • var_id: tmp_chg
  • units: Celsius)
  • long_name: Mean daily 1.5 m temperature (Degrees
  • var_id: temp_chg
  • units: C
  • long_name: Minimum Temperature
  • var_id: tmin_chg
  • var_id: tmin_chg
  • units: Celsius)
  • long_name: Minimum daily 1.5 m temperature (Degrees
  • units: m/s
  • long_name: Near surface U-wind component
  • var_id: ugrd_chg
  • units: m/s
  • long_name: Near surface V-wind component
  • var_id: vgrd_chg
  • units: kg/kg
  • long_name: Near surface mixing ratio
  • var_id: mixr_chg
  • units: hPa
  • long_name: Near surface pressure
  • var_id: pres_chg
  • units: Fraction
  • long_name: Relative humidity at 1.5 m
  • var_id: rhum_chg
  • units: k2
  • long_name: Screen Temperature Variance
  • var_id: tempvar_chg
  • units: kg/m2
  • long_name: Sea Ice
  • var_id: sice_chg
  • units: m
  • long_name: Sea level
  • var_id: sealev_chg
  • units: m
  • long_name: Snow Depth
  • var_id: sn_chg
  • units: kg/m2
  • long_name: Snow amount after timestep *
  • var_id: snat
  • units: mm/d
  • long_name: Snow melt
  • var_id: snmel_chg
  • units: mm
  • long_name: Soil Moistur Content
  • var_id: smc_chg
  • units: mm
  • var_id: smc_chg
  • long_name: Soil Moisture Content
  • long_name: Specific Humidity
  • units: kg/kg
  • var_id: spfh_chg
  • units: k
  • long_name: Surface Skin Temperature/SST
  • var_id: ts_chg
  • units: kelvin
  • long_name: Surface Temperature
  • var_id: stat_chg
  • units: kg/m2/s
  • long_name: Synoptic of large-scale snowfall
  • var_id: syns_chg
  • units: kg/m2/s
  • long_name: Synoptic or large-scale rainfall
  • var_id: synr_chg
  • var_id: dswf_chg
  • units: W/m2
  • long_name: Total Downward Surface SW Flux
  • units: w/m2
  • long_name: Total Incident Solar Radiation
  • var_id: dswf_chg
  • units: mm/day
  • long_name: Total Precipitation
  • var_id: prec_chg
  • units: Fraction
  • long_name: Total cloud in long-wave radiation
  • var_id: tclw_chg
  • units: mm/day
  • var_id: prec_chg
  • long_name: Total precipitation
  • units: m/s
  • var_id: wind_chg
  • long_name: Wind-speed at 10 m
  • units: degrees_north
  • var_id: latitude
  • units: degrees_east
  • var_id: longitude
  • var_id: time

Co-ordinate Variables

Coverage
Temporal Range
Start time:
1961-01-01T00:00:00
End time:
2100-12-31T23:59:59
Geographic Extent

 
90.0000°
  
-180.0000°
  
180.0000°
 
-90.0000°
  
Related parties
Publishers (1)
Principal Investigators (2)