IPCC Arctic GCM scenarios

Please contact William Chapman with questions and/or comments.

Emission scenarios developed by the Intergovernmental Panel on Climate Change (IPCC) contain a set of climate forcing factors that can be used for coupled ocean-atmosphere simulations of 20th, 21st and 22nd century climate. The forcing is given in terms of solar irradiance, volcanic aerosol optical depth, anthropogenic aerosols, and atmospheric concentrations of ozone, carbon dioxide, and other well mixed greenhouse gases.

The Intergovernmental Panel on Climate Change recommends modeling groups contributing to the IPCC Fourth Assessment Report (4AR) include the following scenarios of climate forcing:

Documentation for this particular set of climate forcing factors may be found in Ammann, C.M., G.A. Meehl, W.M. Washington, and C. Zender, 2003: A monthly and latitudinally varying volcanic forcing dataset in simulations of 20th century climate. Geophys. Res. Lett., 30, doi:10.1029/2003GL016875RR, and Dai, A., T.M.L. Wigley, B.A. Boville, J.T. Kiehl, and L.E. Buja, 2001: Climates of the twentieth and twenty-first centuries simulated by the NCAR Climate System Model. J. Climate, 14, 485-519.

CO2 forcingCH4 forcing
Volcanic aerosolsSolar constant

We include output for the Arctic region from these IPCC AR4 scenarios below:


Surface air temperature

sfc. air temperature (all models; all scenarios)SRESB1 sfc. air temperaturesSRESB1 11-yr running mean sfc. air temperatures

choose an IPCC scenario below
SRESB1 composite surface air temperature
SRESA1B composite surface air temperature
SRESA2 composite surface air temperature

IPCC SRESA1B projected surface air temperatures

choose a GCM below
NCAR Community Climate System Model, CCSM 3.0
Meteo-France, Centre National de Recherches Meteorologiques, CM3 Model
NOAA Geophysical Fluid Dynamics Laboratory, CM2.0 Model
NASA Goddard Institute for Space Studies, ModelE20/Russell
CCSR/NIES/FRCGC, MIROC Model V3.2, medium resolution
Meteorological Research Institute, Japan, CGCM2.3.2a
Parallel Climate Model (Version 1)
Institute for Numerical Mathematics, Russia, INMCM3.0 Model
Max Planck Institute for Meteorology, Germany, ECHAM5 / MPI OM
Hadley Centre for Climate Prediction, Met Office, UK, HadCM3 Model
IPSL/LMD/LSCE, France, CM4 V1 Model
Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model
CSIRO Atmospheric Research, Australia, Mk3.0 Model
NOAA Geophysical Fluid Dynamics Laboratory, CM2.1 Model
LASG, Institute of Atmospheric Physics, China, FGOALS1.0_g Model

IPCC SRESA2 projected surface air temperatures

choose a GCM below
NCAR Community Climate System Model, CCSM 3.0
Meteo-France, Centre National de Recherches Meteorologiques, CM3 Model
NOAA Geophysical Fluid Dynamics Laboratory, CM2.0 Model
NASA Goddard Institute for Space Studies, ModelE20/Russell
CCSR/NIES/FRCGC, MIROC Model V3.2, medium resolution
Meteorological Research Institute, Japan, CGCM2.3.2a
Parallel Climate Model (Version 1)
Institute for Numerical Mathematics, Russia, INMCM3.0 Model
Max Planck Institute for Meteorology, Germany, ECHAM5 / MPI OM
Hadley Centre for Climate Prediction, Met Office, UK, HadCM3 Model
IPSL/LMD/LSCE, France, CM4 V1 Model
Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model
CSIRO Atmospheric Research, Australia, Mk3.0 Model
NOAA Geophysical Fluid Dynamics Laboratory, CM2.1 Model
LASG, Institute of Atmospheric Physics, China, FGOALS1.0_g Model

IPCC SRESB1 projected surface air temperatures

choose a GCM below
NCAR Community Climate System Model, CCSM 3.0
Meteo-France, Centre National de Recherches Meteorologiques, CM3 Model
NOAA Geophysical Fluid Dynamics Laboratory, CM2.0 Model
NASA Goddard Institute for Space Studies, ModelE20/Russell
CCSR/NIES/FRCGC, MIROC Model V3.2, medium resolution
Meteorological Research Institute, Japan, CGCM2.3.2a
Parallel Climate Model (Version 1)
Institute for Numerical Mathematics, Russia, INMCM3.0 Model
Max Planck Institute for Meteorology, Germany, ECHAM5 / MPI OM
Hadley Centre for Climate Prediction, Met Office, UK, HadCM3 Model
IPSL/LMD/LSCE, France, CM4 V1 Model
Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model
CSIRO Atmospheric Research, Australia, Mk3.0 Model
NOAA Geophysical Fluid Dynamics Laboratory, CM2.1 Model
LASG, Institute of Atmospheric Physics, China, FGOALS1.0_g Model

Simulated surface air temperature change for years: 1951-2000

Sea level pressure

sea level pressure (all models; SRESA1B)SRESA1B sea level pressureSRESA1B 11-yr running mean sea level pressure

choose an IPCC scenario below
SRESA1B composite sea level pressure
SRESA1B composite 500mb heights

IPCC SRESA1B projected sea level pressure

choose a GCM below
NCAR Community Climate System Model, CCSM 3.0
Meteo-France, Centre National de Recherches Meteorolo giques, CM3 Model
NOAA Geophysical Fluid Dynamics Laboratory, CM2.0 Model
NASA Goddard Institute for Space Studies, ModelE20/Russell
CCSR/NIES/FRCGC, MIROC Model V3.2, medium resolution
Meteorological Research Institute, Japan, CGCM2.3.2a
Parallel Climate Model (Version 1)
Institute for Numerical Mathematics, Russia, INMCM3.0 Model
Max Planck Institute for Meteorology, Germany, ECHAM5 / MPI OM
Hadley Centre for Climate Prediction, Met Office, UK, HadCM3 Model
IPSL/LMD/LSCE, France, CM4 V1 Model
Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model
CSIRO Atmospheric Research, Australia, Mk3.0 Model
NOAA Geophysical Fluid Dynamics Laboratory, CM2.1 Model
LASG, Institute of Atmospheric Physics, China, FGOALS1.0_g Model


Precipitation

precipitation (all models; SRESA1B)SRESA1B precipitationSRESA1B 11-yr running mean precipitation

choose a n IPCC scenario below
SRESA1B composite precipitation

IPCC SRESA1B projected precipitation

choose a GCM below
NCAR Community Climate System Model, CCSM 3.0
Meteo-France, Centre National de Recherches Meteorolo giques, CM3 Model
NOAA Geophysical Fluid Dynamics Laboratory, CM2.0 Model
NASA Goddard Institute for Space Studies, ModelE20/Russell
CCSR/NIES/FRCGC, MIROC Model V3.2, medium resolution
Meteorological Research Institute, Japan, CGCM2.3.2a
Parallel Climate Model (Version 1)
Institute for Numerical Mathematics, Russia, INMCM3.0 Model
Max Planck Institute for Meteorology, Germany, ECHAM5 / MPI OM
Hadley Centre for Climate Prediction, Met Office, UK, HadCM3 Model
IPSL/LMD/LSCE, France, CM4 V1 Model
Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model
CSIRO Atmospheric Research, Australia, Mk3.0 Model
NOAA Geophysical Fluid Dynamics Laboratory, CM2.1 Model
LASG, Institute of Atmospheric Physics, China, FGOALS1.0_g Model



IPCC GCM surface air temperature biases

ERA40 reanalysis
ERA40 reanalysis means
14-model composite biases
14-model composite surface air temperature biases
12-model composite sfc. air temp. biases (no convective adjustment GCMs only)
2-model composite sfc. air temp. biases (convective adjustment GCMs only)

GCM surface air temperature biases

choose a GCM below
NCAR Community Climate System Model, CCSM 3.0 bias with ERA40
Meteo-France, Centre National de Recherches Meteorolo giques, CM3 Model bias with ERA40
NOAA Geophysical Fluid Dynamics Laboratory, CM2.0 Model bias with ERA40
NASA Goddard Institute for Space Studies, ModelE20/Russell bias with ERA40
CCSR/NIES/FRCGC, MIROC Model V3.2, medium resolution bias with ERA40
Meteorological Research Institute, Japan, CGCM2.3.2a bias with ERA40
Parallel Climate Model (Version 1) bias with ERA40
Institute for Numerical Mathematics, Russia, INMCM3.0 Model bias with ERA40
Max Planck Institute for Meteorology, Germany, ECHAM5 / MPI OM bias with ERA40
Hadley Centre for Climate Prediction, Met Office, UK, HadCM3 Model bias with ERA40
IPSL/LMD/LSCE, France, CM4 V1 Model bias with ERA40
Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model bias with ERA40
CSIRO Atmospheric Research, Australia, Mk3.0 Model bias with ERA40
NOAA Geophysical Fluid Dynamics Laboratory, CM2.1 Model bias with ERA40
Hadley Centre for Climate Prediction, Met Office, UK, HadGEM1 Model bias with ERA40
Bjerknes Centre for Climate Research, Norway, BCM2.0 Model bias with ERA40
Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model, T63 bias with ERA40
INGV, National Institute of Geophysics and Volcanology, Italy, ECHAM 4.6 Model bias with ERA40
Meteorological Institute of the University of Bonn, ECHO-G Model bias with ERA40
CCSR/NIES/FRCGC, MIROC Model V3.2, high resolution bias with ERA40
LASG, Institute of Atmospheric Physics, China, FGOALS1.0_g Model bias with ERA40



IPCC GCM sea level pressure biases

ERA40 reanalysis
ERA40 reanalysis means
14-model composite biases
14-model composite sea level pressure biases
12-model composite SLP biases (no convective adjustment GCMs only)
2-model composite SLP biases (convective adjustment GCMs only)

GCM sea level pressure biases

choose a GCM below
NCAR Community Climate System Model, CCSM 3.0 bias with ERA40
Meteo-France, Centre National de Recherches Meteorolo giques, CM3 Model bias with ERA40
NOAA Geophysical Fluid Dynamics Laboratory, CM2.0 Model bias with ERA40
NASA Goddard Institute for Space Studies, ModelE20/Russell bias with ERA40
CCSR/NIES/FRCGC, MIROC Model V3.2, medium resolution bias with ERA40
Meteorological Research Institute, Japan, CGCM2.3.2a bias with ERA40
Parallel Climate Model (Version 1) bias with ERA40
Institute for Numerical Mathematics, Russia, INMCM3.0 Model bias with ERA40
Max Planck Institute for Meteorology, Germany, ECHAM5 / MPI OM bias with ERA40
Hadley Centre for Climate Prediction, Met Office, UK, HadCM3 Model bias with ERA40
IPSL/LMD/LSCE, France, CM4 V1 Model bias with ERA40
Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model bias with ERA40
CSIRO Atmospheric Research, Australia, Mk3.0 Model bias with ERA40
NOAA Geophysical Fluid Dynamics Laboratory, CM2.1 Model bias with ERA40
Hadley Centre for Climate Prediction, Met Office, UK, HadGEM1 Model bias with ERA40
Bjerknes Centre for Climate Research, Norway, BCM2.0 Model bias with ERA40
Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model, T63 bias with ERA40
INGV, National Institute of Geophysics and Volcanology, Italy, ECHAM 4.6 Model bias with ERA40
Meteorological Institute of the University of Bonn, ECHO-G Model bias with ERA40
CCSR/NIES/FRCGC, MIROC Model V3.2, high resolution bias with ERA40
LASG, Institute of Atmospheric Physics, China, FGOALS1.0_g Model bias with ERA40



IPCC GCM precipitation biases

ERA40 reanalysis
ERA40 reanalysis means
14-model composite biases
14-model composite precipitation biases
12-model composite precipitation biases (no convective adjustment GCMs only)
2-model composite precipitation biases (convective adjustment GCMs only)

GCM precipitation biases

choose a GCM below
NCAR Community Climate System Model, CCSM 3.0 bias with ERA40
Meteo-France, Centre National de Recherches Meteorolo giques, CM3 Model bias with ERA40
NOAA Geophysical Fluid Dynamics Laboratory, CM2.0 Model bias with ERA40
NASA Goddard Institute for Space Studies, ModelE20/Russell bias with ERA40
CCSR/NIES/FRCGC, MIROC Model V3.2, medium resolution bias with ERA40
Meteorological Research Institute, Japan, CGCM2.3.2a bias with ERA40
Parallel Climate Model (Version 1) bias with ERA40
Institute for Numerical Mathematics, Russia, INMCM3.0 Model bias with ERA40
Max Planck Institute for Meteorology, Germany, ECHAM5 / MPI OM bias with ERA40
Hadley Centre for Climate Prediction, Met Office, UK, HadCM3 Model bias with ERA40
IPSL/LMD/LSCE, France, CM4 V1 Model bias with ERA40
Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model bias with ERA40
CSIRO Atmospheric Research, Australia, Mk3.0 Model bias with ERA40
NOAA Geophysical Fluid Dynamics Laboratory, CM2.1 Model bias with ERA40
Hadley Centre for Climate Prediction, Met Office, UK, HadGEM1 Model bias with ERA40
Bjerknes Centre for Climate Research, Norway, BCM2.0 Model bias with ERA40
Canadian Centre for Climate Modelling and Analysis, CGCM3.1 Model, T63 bias with ERA40
INGV, National Institute of Geophysics and Volcanology, Italy, ECHAM 4.6 Model bias with ERA40
Meteorological Institute of the University of Bonn, ECHO-G Model bias with ERA40
CCSR/NIES/FRCGC, MIROC Model V3.2, high resolution bias with ERA40
LASG, Institute of Atmospheric Physics, China, FGOALS1.0_g Model bias with ERA40

IPCC SRESA1B projected Precipitation - Evaporation

choose an IPCC scenario below
SRESA1B composite Precipitation - Evaporation

This material is based upon work supported by the National Science Foundation under Grant No. 0520112.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Department of Atmospheric Sciences University of Illinois
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