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Climate Scenarios and Models Used For Developing the 2005 Pacific Northwest Climate Change Scenarios
Climate Scenarios
As part of the global effort to quantify future changes in climate, the Intergovernmental Panel on Climate Change (IPCC) has developed different scenarios of change in greenhouse gas and sulfate aerosol emissions for use in global climate modeling efforts. These scenarios are grouped in four categories, or storylines, based on different assumptions about
demographic, social, economic, technological, and environmental change.
The CIG chose two scenario families for its most recent update of the Pacific Northwest climate change scenarios:
- A2 Scenario Family. The A2 scenario family lies near the upper limit of future greenhouse gas emissions as projected in different emissions scenarios, particularly beyond 2050. The A2 scenario assumes continuously increasing population growth, slower adoption of non-fossil fuel sources, and slower technological change than other scenarios.
- B1 Scenario Family. The B1 scenario family lies near the lower limit of projected changes in greenhouse gas emissions. The B1 scenario assumes global population growth peaks by mid-century and then declines, a rapid economic shift towards service and information economies, and the introduction of clean and resource-efficient technologies.
Both scenario families are considered equally probable. For more information on these and other scenario families, please see the IPCC's Special Report on Emissions Scenarios (2000).
Climate Models
The Climate Impacts Group has analyzed the climate response for the Pacific Northwest simulated by several climate models. These simulations were prepared by climate modeling centers worldwide for the Fourth IPCC Assessment (also referred to as AR4). For consistency with prior CIG work, we include the current versions of models used previously: HadCM3, ECHAM5, CCSM3, and PCM1 (CCSM3 is the successor to both the NCAR CSM and DOE PCM). To these we added five additional models to better represent the range of models participating in AR4. These are: CNRM_CM3, CSIRO_MK3 Miroc_3.2, IPSL_CM4, CGCM_3.1, and GISS_ER.
Model |
Institution |
Version |
Contact |
References |
| CCM3 |
NCAR (National
Center for Atmospheric Research,
Boulder, CO,
USA) |
CCSM3.0, version
beta19 (2004):
atmosphere: CAM3.0,
T85L26
ocean: POP1.4.3
(modified), gx1v3
sea ice: CSIM5.0, T85
land: CLM3.0, gx1v3 |
ccsm@ucar.edu |
Collins, W.D., et al., 2005: The Community
Climate System Model, Version 3 Journal of
Climate, Main website:
http://www.ccsm.ucar.edu |
| CGCM_3.1 |
CCCma (Canadian
Centre for Climate
Modeling and
Analysis, Victoria, BC,
Canada) |
CGCM3.1 (2004):
atmosphere: AGCM3
(GCM13d, T47L31)
ocean: CCCMA
(OGCM3.1,192x96L29) |
Greg Flato
(Greg.Flato@ec.gc.ca) |
|
| CNRM_CM3 |
CNRM (Centre
National de
Recherches
Meteorologiques,
Meteo-France,
Toulouse, France) |
CNRM-CM3 (2004):
atmosphere: Arpege-
Climat v3 (T42L45, cy
22b+)
ocean: OPA8.1
sea ice: Gelato 3.10
river routing: TRIP |
david.salas@meteo.fr,
sophie.tyteca@meteo.fr, jeanfrancois.
royer@meteo.fr |
http://www.cnrm.meteo.fr/
scenario2004/references_eng.html |
| CSIRO_MK3 |
CSIRO (CSIRO
Atmospheric Research,
Melbourne, Australia) |
CSIRO Mk3.0 (2000):
atmosphere: spectral
(T63L18)
ocean: MOM2.2
(1.875x0.925L31) |
Mark Collier
(Mark.Collier@csiro.au),
Martin
Dix (Martin.Dix@csiro.au),
Tony Hirst
(Tony.Hirst@csiro.au) |
Model described by Gordon et al. The CSIRO
Mk3 Climate System Model, 2002,
www.dar.csiro.au/publications/
gordon_2002a.pdf |
| ECHAM5 |
MPI (Max Planck
Institute for
Meteorology, Hamburg,
Germany) |
ECHAM5/MPIOM (2004):
atmosphere:
ECHAM5
(T63L32)
ocean: OM (1x1L41)
sea ice: ECHAM5 |
Joerg Wegner
(wegner@dkrz.de) |
ECHAM5: E. Roeckner et. all, 2003, The
atmospheric general circulation model
ECHAM5 Report No. 349OM: Marsland et. all,
2003, The Max-Planck-Institute global ocean/sea
ice model with orthogonal curvilinear
coordinates Ocean Modell., 5, 91-127.OM: Haak,
H. et. all, 2003: Formation and propagation of
great salinity anomalies, Geophys. Research Letters, 30, 1473,10.1029/2003GL17065. |
| GISS_ER |
NASA/GISS (Goddard
Institute for Space
Studies) New York, NY |
E3Af8aoM20A |
Kenneth Lo
(cdkkl@giss.nasa.gov) |
www.giss.nasa.gov/research/
modeling |
| HadCM3 |
Met Office (Exeter,
Devon, EX1 3PB, UK) |
HadCM3 (1998):
atmosphere: (2.5 x
3.75)
ocean: (1.25 x 1.25)
sea ice: land:
MOSES1 |
jason.lowe@
metoffice.gov.uk,
simon.gosling@
metoffice.gov.uk |
Gordon, C., C. Cooper, C.A. Senior, H.T. Banks,
J.M. Gregory, T.C. Johns, J.F.B. Mitchell and
R.A. Wood, 2000. The simulation of SST, sea ice
extents and ocean heat transports in a version of
the Hadley Centre coupled model without flux
adjustments. Clim. Dyn., 16, 147-168. Johns, T.C.,
R.E. Carnell, J.F. Crossley, J.M. Gregory, J.F.B.
Mitchell, C.A. Senior, S.F.B. Tett and R.A. Wood,
1997. The Second Hadley Centre Coupled Ocean-Atmosphere GCM: Model Description, Spinup
and Validation. Clim. Dyn. 13, 103-134. |
| IPSL_CM4 |
IPSL (Institute Pierre
Simon Laplace, Paris,
France) |
IPSL-CM4_v1 |
Sebastien Denvil,
(sebastien.denvil@
ipsl.jussieu.fr) |
|
| MIROC_3.2 |
CCSR/NIES/FRCGC
(Center for Climate
System Research,
Tokyo, Japan /
National Institute for
Environmental Studies, Ibaraki, Japan
/ Frontier Research
Center for Global
Change, Kanagawa,
Japan)
|
MIROC3.2 (2004):
atmosphere: AGCM
(AGCM5.7b, T42 L20)
ocean & sea ice: COCO
(COCO3.3, 256x192
L44) land: MATSIRO
(T42) |
Toru Nozawa
(nozawa@nies.go.jp) |
K-1 Coupled GCM Description (K-1 Technical
Report No.1), in preparation |
| PCM1 |
NCAR (National
Center for
Atmospheric Research,
Boulder, CO, USA)
|
Parallel Climate Model
(PCM) version 1.1,
(2000): atm :
CCM3.6.6, (modified),
T42L18 ocn : POP1.0
(modified) |
pcm1@ucar.edu |
Washington, W.M., et.al., 2000: Parallel climate
model (PCM) control and transient simulations.
Climate Dynamics, Volume 16 Issue 10/11 (2000)
pp 755-774
Main website:
http://www.cgd.ucar.edu/pcm |
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