IPCC Fourth Assessment Report: Climate Change 2007
Climate Change 2007: Working Group I: The Physical Science Basis

8.2 Advances in Modelling

Many modelling advances have occurred since the TAR. Space does not permit a comprehensive discussion of all major changes made over the past several years to the 23 AOGCMs used widely in this report (see Table 8.1). Model improvements can, however, be grouped into three categories. First, the dynamical cores (advection, etc.) have been improved, and the horizontal and vertical resolutions of many models have been increased. Second, more processes have been incorporated into the models, in particular in the modelling of aerosols, and of land surface and sea ice processes. Third, the parametrizations of physical processes have been improved. For example, as discussed further in Section 8.2.7, most of the models no longer use flux adjustments (Manabe and Stouffer, 1988; Sausen et al., 1988) to reduce climate drift. These various improvements, developed across the broader modelling community, are well represented in the climate models used in this report.

Table 8.1. Selected model features. Salient features of the AOGCMs participating in the MMD at PCMDI are listed by IPCC identification (ID) along with the calendar year (‘vintage’) of the first publication of results from each model. Also listed are the respective sponsoring institutions, the pressure at the top of the atmospheric model, the horizontal and vertical resolution of the model atmosphere and ocean models, as well as the oceanic vertical coordinate type (Z: see Griffies (2004) for definitions) and upper boundary condition (BC: free surface or rigid lid). Also listed are the characteristics of sea ice dynamics/structure (e.g., rheology vs ‘free drift’ assumption and inclusion of ice leads), and whether adjustments of surface momentum, heat or freshwater fluxes are applied in coupling the atmosphere, ocean and sea ice components. Land features such as the representation of soil moisture (single-layer ‘bucket’ vs multi-layered scheme) and the presence of a vegetation canopy or a river routing scheme also are noted. Relevant references describing details of these aspects of the models are cited.

Model ID, Vintage

 

Sponsor(s), Country

 

Atmosphere

Top

Resolutiona

References

 

Ocean

Resolutionb

Z Coord., Top BC References

 

Sea Ice

Dynamics, Leads References

 

Coupling

Flux Adjustments References

 

Land

Soil, Plants, Routing References

 
1: BCC-CM1, 2005 

Beijing Climate Center, China

 

top = 25 hPa

T63 (1.9° x 1.9°) L16 Dong et al., 2000; CSMD, 2005; Xu et al., 2005

 

1.9° x 1.9° L30

depth, free surface

Jin et al., 1999

 

no rheology or leads

Xu et al., 2005

 

heat, momentum

Yu and Zhang, 2000;

CSMD, 2005

 

layers, canopy, routing CSMD, 2005

 
2: BCCR-BCM2.0, 2005 

Bjerknes Centre for Climate Research, Norway

 

top = 10 hPa

T63 (1.9° x 1.9°) L31 Déqué et al., 1994

 

0.5°–1.5° x 1.5° L35 density, free surface Bleck et al., 1992

 

rheology, leads

Hibler, 1979; Harder, 1996

 

no adjustments Furevik et al., 2003

 

Layers, canopy, routing Mahfouf et al., 1995; Douville et al., 1995;

Oki and Sud, 1998

 
3: CCSM3, 2005 

National Center for Atmospheric Research, USA

 

top = 2.2 hPa

T85 (1.4° x 1.4°) L26 Collins et al., 2004

 

0.3°–1° x 1° L40

depth, free surface

Smith and Gent, 2002

 

rheology, leads

Briegleb et al., 2004

 

no adjustments Collins et al., 2006

 

layers, canopy, routing Oleson et al., 2004; Branstetter, 2001

 
4: CGCM3.1(T47), 2005 

Canadian Centre for Climate Modelling and Analysis, Canada

 

top = 1 hPa

T47 (~2.8° x 2.8°) L31 McFarlane et al., 1992; Flato, 2005

 

1.9° x 1.9° L29

depth, rigid lid Pacanowski et al., 1993

 

rheology, leads

Hibler, 1979; Flato and Hibler, 1992

 

heat, freshwater Flato, 2005

 

layers, canopy, routing Verseghy et al., 1993

 
5: CGCM3.1(T63), 2005 

top = 1 hPa

T63 (~1.9° x 1.9°) L31 McFarlane et al., 1992; Flato 2005

 

0.9° x 1.4° L29

depth, rigid lid

Flato and Boer, 2001; Kim et al., 2002

 

rheology, leads

Hibler, 1979; Flato and Hibler, 1992

 

heat, freshwater Flato, 2005

 

layers, canopy, routing Verseghy et al., 1993

 
6: CNRM-CM3, 2004 

Météo-France/Centre National de Recherches Météorologiques, France

 

top = 0.05 hPa

T63 (~1.9° x 1.9°) L45

Déqué et al., 1994

 

0.5°–2° x 2° L31

depth, rigid lid

Madec et al., 1998

 

rheology, leads

Hunke-Dukowicz, 1997; Salas-Mélia, 2002

 

no adjustments Terray et al., 1998

 

layers, canopy,routing Mahfouf et al., 1995; Douville et al., 1995;

Oki and Sud, 1998

 
7: CSIRO-MK3.0, 2001 

Commonwealth Scientific and Industrial Research Organisation (CSIRO) Atmospheric Research, Australia

 

top = 4.5 hPa

T63 (~1.9° x 1.9°) L18 Gordon et al., 2002

 

0.8° x 1.9° L31

depth, rigid lid

Gordon et al., 2002

 

rheology, leads

O’Farrell, 1998

 

no adjustments Gordon et al., 2002

 

layers, canopy

Gordon et al., 2002

 
8: ECHAM5/MPI-OM, 2005 

Max Planck Institute for Meteorology, Germany

 

top = 10 hPa

T63 (~1.9° x 1.9°) L31 Roeckner et al., 2003

 

1.5° x 1.5° L40

depth, free surface Marsland et al., 2003

 

rheology, leads

Hibler, 1979;

Semtner, 1976

 

no adjustments Jungclaus et al., 2005

 

bucket, canopy, routing Hagemann, 2002; Hagemann and

Dümenil-Gates, 2001

 
9: ECHO-G, 1999 

Meteorological Institute of the University of Bonn, Meteorological Research Institute of the Korea Meteorological Administration (KMA), and Model and Data Group, Germany/Korea

 

top = 10 hPa

T30 (~3.9° x 3.9°) L19 Roeckner et al., 1996

 

0.5°–2.8° x 2.8° L20 depth, free surface

Wolff et al., 1997

 

rheology, leads

Wolff et al., 1997

 

heat, freshwater

Min et al., 2005

 

bucket, canopy, routing Roeckner et al., 1996; Dümenil and Todini, 1992

 

Model ID, Vintage

 

Sponsor(s), Country

 

Atmosphere

Top

Resolutiona

References

 

Ocean

Resolutionb

Z Coord., Top BC References

 

Sea Ice

Dynamics, Leads References

 

Coupling

Flux Adjustments References

 

Land

Soil, Plants, Routing References

 
10: FGOALS-g1.0, 2004 

National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG)/Institute of Atmospheric Physics, China

 

top = 2.2 hPa

T42 (~2.8° x 2.8°) L26 Wang et al., 2004

 

1.0° x 1.0° L16

eta, free surface

Jin et al., 1999;

Liu et al., 2004

 

rheology, leads

Briegleb et al., 2004

 

no adjustments

Yu et al., 2002, 2004

 

layers, canopy, routing

Bonan et al., 2002

 
11: GFDL-CM2.0, 2005 

U.S. Department of Commerce/National Oceanic and Atmospheric Administration (NOAA)/Geophysical Fluid Dynamics Laboratory (GFDL), USA

 

top = 3 hPa

2.0° x 2.5° L24

GFDL GAMDT, 2004

 

0.3°–1.0° x 1.0° depth, free surface Gnanadesikan et al., 2004

 

rheology, leads

Winton, 2000;

Delworth et al., 2006

 

no adjustments Delworth et al., 2006

 

bucket, canopy, routing Milly and Shmakin, 2002; GFDL GAMDT, 2004

 
12: GFDL-CM2.1, 2005 

top = 3 hPa

2.0° x 2.5° L24

GFDL GAMDT, 2004 with semi-Lagrangian transports

 

0.3°–1.0° x 1.0° depth, free surface Gnanadesikan et al., 2004

 

rheology, leads

Winton, 2000; Delworth et al., 2006

 

no adjustments Delworth et al., 2006

 

bucket, canopy, routing

Milly and Shmakin, 2002; GFDL GAMDT, 2004

 
13: GISS-AOM, 2004 

National Aeronautics and Space Administration (NASA)/Goddard Institute for Space Studies (GISS), USA

 

top = 10 hPa

3° x 4° L12

Russell et al., 1995; Russell, 2005

 

3° x 4° L16

mass/area, free surface

Russell et al., 1995; Russell, 2005

 

rheology, leads

Flato and Hibler, 1992; Russell, 2005

 

no adjustments Russell, 2005

 

layers, canopy, routing Abramopoulos et al., 1988; Miller et al., 1994

 
14: GISS-EH, 2004 

top = 0.1 hPa

4° x 5° L20

Schmidt et al., 2006

 

2° x 2° L16

density, free surface Bleck, 2002

 

rheology, leads

Liu et al., 2003;

Schmidt et al., 2004

 

no adjustments Schmidt et al., 2006

 

layers, canopy, routing Friend and Kiang, 2005

 
15: GISS-ER, 2004 

NASA/GISS, USA

 

top = 0.1 hPa

4° x 5° L20

Schmidt et al., 2006

 

4° x 5° L13

mass/area, free surface

Russell et al., 1995

 

rheology, leads

Liu et al., 2003;

Schmidt et al., 2004

 

no adjustments Schmidt et al., 2006

 

layers, canopy, routing Friend and Kiang, 2005

 
16: INM-CM3.0, 2004 

Institute for Numerical Mathematics, Russia

 

top = 10 hPa

4° x 5° L21

Alekseev et al., 1998;

Galin et al., 2003

 

2° x 2.5° L33

sigma, rigid lid

Diansky et al., 2002

 

no rheology or leads Diansky et al., 2002

 

regional freshwater Diansky and Volodin, 2002; Volodin and Diansky, 2004

 

layers, canopy, no routing

Alekseev et al., 1998; Volodin and Lykosoff, 1998

 
17: IPSL-CM4, 2005 

Institut Pierre Simon Laplace, France

 

top = 4 hPa

2.5° x 3.75° L19

Hourdin et al., 2006

 

2° x 2° L31

depth, free surface

Madec et al., 1998

 

rheology, leads

Fichefet and Morales Maqueda, 1997; Goosse and Fichefet, 1999

 

no adjustments Marti et al., 2005

 

layers, canopy, routing Krinner et al., 2005

 
18: MIROC3.2(hires), 2004 

Center for Climate System Research (University of Tokyo), National Institute for Environmental Studies, and Frontier Research Center for Global Change (JAMSTEC), Japan

 

top = 40 km

T106 (~1.1° x 1.1°) L56

K-1 Developers, 2004

 

0.2° x 0.3° L47

sigma/depth, free surface

K-1 Developers, 2004

 

rheology, leads

K-1 Developers, 2004

 

no adjustments

K-1 Developers, 2004

 

layers, canopy, routing K-1 Developers, 2004; Oki and Sud, 1998

 
19: MIROC3.2(medres), 2004 

top = 30 km

T42 (~2.8° x 2.8°) L20

K-1 Developers, 2004

 

0.5°–1.4° x 1.4° L43 sigma/depth, free surface

K-1 Developers, 2004

 

rheology, leads

K-1 Developers, 2004

 

no adjustments

K-1 Developers, 2004

 

layers, canopy, routing K-1 Developers, 2004; Oki and Sud, 1998

 

Model ID, Vintage

 

Sponsor(s), Country

 

Atmosphere

Top

Resolutiona

References

 

Ocean

Resolutionb

Z Coord., Top BC References

 

Sea Ice

Dynamics, Leads References

 

Coupling

Flux Adjustments References

 

Land

Soil, Plants, Routing References

 
20: MRI-CGCM2.3.2, 2003 

Meteorological Research Institute, Japan

 

top = 0.4 hPa

T42 (~2.8° x 2.8°) L30 Shibata et al., 1999

 

0.5°–2.0° x 2.5° L23 depth, rigid lid

Yukimoto et al., 2001

 

free drift, leads

Mellor and Kantha, 1989

 

heat, freshwater, momentum

(12°S–12°N) Yukimoto et al., 2001; Yukimoto and Noda, 2003

 

layers, canopy, routing Sellers et al., 1986; Sato et al., 1989

 
21: PCM, 1998 

National Center for Atmospheric Research, USA

 

top = 2.2 hPa

T42 (~2.8° x 2.8°) L26 Kiehl et al., 1998

 

0.5°–0.7° x 1.1° L40 depth, free surface Maltrud et al., 1998

 

rheology, leads

Hunke and Dukowicz 1997, 2003; Zhang et al., 1999

 

no adjustments Washington et al., 2000

 

layers, canopy, no routing

Bonan, 1998

 
22: UKMO-HadCM3, 1997 

Hadley Centre for Climate Prediction and Research/Met Office, UK

 

top = 5 hPa

2.5° x 3.75° L19

Pope et al., 2000

 

1.25° x 1.25° L20 depth, rigid lid Gordon et al., 2000

 

free drift, leads

Cattle and Crossley, 1995

 

no adjustments Gordon et al., 2000

 

layers, canopy, routing Cox et al., 1999

 
23: UKMO-HadGEM1, 2004 

top = 39.2 km

~1.3° x 1.9° L38

Martin et al., 2004

 

0.3°–1.0° x 1.0° L40 depth, free surface Roberts, 2004

 

rheology, leads Hunke and Dukowicz, 1997; Semtner, 1976; Lipscomb, 2001

 

no adjustments Johns et al., 2006

 

layers, canopy, routing Essery et al., 2001; Oki and Sud, 1998

 

Notes:

a Horizontal resolution is expressed either as degrees latitude by longitude or as a triangular (T) spectral truncation with a rough translation to degrees latitude and longitude. Vertical resolution (L) is the number of vertical levels.

b Horizontal resolution is expressed as degrees latitude by longitude, while vertical resolution (L) is the number of vertical levels.

Despite the many improvements, numerous issues remain. Many of the important processes that determine a model’s response to changes in radiative forcing are not resolved by the model’s grid. Instead, sub-grid scale parametrizations are used to parametrize the unresolved processes, such as cloud formation and the mixing due to oceanic eddies. It continues to be the case that multi-model ensemble simulations generally provide more robust information than runs of any single model. Table 8.1 summarises the formulations of each of the AOGCMs used in this report.

There is currently no consensus on the optimal way to divide computer resources among finer numerical grids, which allow for better simulations; greater numbers of ensemble members, which allow for better statistical estimates of uncertainty; and inclusion of a more complete set of processes (e.g., carbon feedbacks, atmospheric chemistry interactions).