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Transcript
Tradeoff Analysis Workshop
November 17-21, 2003; Dakar, Senegal
Biophysical Working Group.
Climate change scenarios
The general objective is to obtain the changes in expected weather conditions as
modelled by a range of different global change models. We look at 7 different GCM’s
under a single scenario: 1% per annum increase in greenhouse gases
The 7 models are:
 EE: ECHAM4
 HH: HadCM2
 GG: GFDL-R15
 CC: CGCM1
 AA: CSIRO-Mk2
 NN: NCAR-DoE
 CC: CCSR/NIES
The models are described in Appendix 1. All the results from the different models are
downloaded from http://ipcc-ddc.cru.uea.ac.uk. Appendix 2 provides an overview of
the file names that were downloaded and used for the analysis. The results refer to a
equilibrum run towards 1961-1990 (code 61) and subsequently the results for a
continued run towards 2010-2039 (code 20, results represent the difference with 61!).
The different columns refer to the monthly changes in precipitation (expressed in
mm/day) and temperature (in ºC).
All the data files were downloaded (appendix 2), extracted from the ZIP files and
subsequently converted into dBase files. The database files are loaded into Arcview
together with a coverage of country borders. The Arcview file is called
c:\dssatto\climchange\climchange.apr
Changes in environmental conditions can be entered in the DSSAT X-file. If you open
one of the two directories containing the millet and peanut models (c:\dssatto\peanut
or c:\dssatto\millet) and open the X-files tose8601.mlx or tose8601.pnx you can find
the following section:
*ENVIRONMENT MODIFICATIONS
@E ODATE EDAY ERAD EMAX EMIN ERAIN ECO2 EDEW EWIND ENVNAME
1 86150 A 0.0 A 0.0 A 0.0 A 0.0 A 0.0 A
0 A 0.0 A 0.0
The following variables are defined:
ODATE
EDAY
EDEW
EMAX
Environmental modification date, year + day or days from planting
Daylength adjustment, A,S,M,R+h (Add;Subtract;Multiply;Replace)
Humidity adjustment, A,S,M,R+oC (Add;Subtract;Multiply;Replace)
Temp (max) adjustment, A,S,M,R+oC (Add;Subtract;Multiply;Replace)
EMIN
ERAD
ERAIN
EWIND
Temp (min) adjustment, A,S,M,R+oC (Add;Subtract;Multiply;Replace)
Radn adjustment, A,S,M,R+MJ m-2day-1 (Add;Subtract;Multiply;Replace)
Precipitation adjustment, A,S,M,R+mm (Add;Subtract;Multiply;Replace)
Wind adjustment, A,S,M,R + km day-1 (Add;Subtract;Multiply;Replace)
Now you can make the changes and run the model by running the tose8601.bat. The
results are written in the file overview.out.
Appendix 1: Model descriptions
ECHAM4
The ECHAM climate model has been developed from the ECMWF atmospheric model (therefore the
first part of its name: EC) and a comprehensive parameterisation package developed at Hamburg
therefore the abbreviation HAM) which allows the model to be used for climate simulations. The
model is a spectral transform model with 19 atmospheric layers and the results used here derive from
experiments performed with a spatial resolution which approximates to about 2.8º longitude/latitude
resolution). ECHAM4 is the current generation in the line of ECHAM models (Roeckner, et al., 1992).
A summary of developments regarding model physics in ECHAM4 and a description of the simulated
climate obtained with the uncoupled ECHAM4 model is given in Roeckner et al. (1996). The initial sea
surface temperature and sea-ice data is the COLA/CAC AMIP SST and sea-ice data set. The mean
terrain heights are computed from high resolution US Navy data set. The fraction of grid area covered
by vegetation based on the Wilson and Henderson-Sellers (1985) data set. The ocean albedo is a
function of solar zenith angle and the land albedo from the satellite data of Geleyn and Preuss (1983).
A diurnal cycle and gravity wave-drag is included. The time-step of the model is 24 minutes, except for
radiation which uses two hours.
The ocean model is an updated version of the isopycnal model (OPYC3) developed by Josef Oberhuber
(Oberhuber, 1993) at the Max-Planck-Institute for Meteorology, Hamburg, Germany. The name OPYC
is derived from Ocean and isoPYCnal co-ordinates.
The concept to use isopycnals as the vertical co-ordinate system for an OGCM is based on the
observation that the interior ocean behaves as a rather conservative fluid. Even over long distances the
origin of water masses can be traced back by considering the distribution of active or passive tracers.
Treating the ocean as a conservative fluid fails in areas of significant turbulence activity such as the
surface boundary layer. A surface mixed-layer is therefore coupled to the interior ocean in order to
represent near-surface vertical mixing and to improve the response time-scales to atmospheric forcing
which is controlled by the mixed-layer thickness. Since the model is designed for studies on large
scales, a sea ice model with rheology is included and serves the purpose of de-coupling the ocean from
extreme high-latitude winter conditions and promotes a realistic treatment of the salinity forcing due to
melting or freezing sea ice.
The experiments from which results are used here are the 1000-year unforced control simulation using
the coupled ECHAM4/OPYC3 model and then two climate change simulations. The greenhouse gas
only forced experiment (referred to as GGa1) used historical greenhouse gas forcing from 1860 to 1990
followed by a 1 per cent annum increase in radiative forcing from 1990 to 2099. The greenhouse gas
and sulphate aerosol forced experiment (referred to as GSa1) used the GGa1 forcing, plus the negative
forcing due to sulphate aerosols. This was represented by means of an increase in clear-sky surface
albedo proportional to the local sulphate loading. The indirect effects of aerosols were not simulated.
For 1860 to 1990 the historic sulphate aerosol forcing estimate was used and for 1990 to 2049 the
aerosol forcing estimated for the IS92a emissions scenario. Several papers describe results using this
version of the model - see Bacher et al. (1998), Oberhuber et al. (1998), Zhang et al. (1998).
The climate sensitivity of ECHAM4 is about 2.6ºC.
Bacher,A., Oberhuber,J.M. and Roeckner,E. 1998 ENSO dynamics and seasonal cycle in the tropical
Pacific as simulated by the ECHAM4/OPYC3 coupled general circulation model Climate Dynamics,
14, 431-450.
Oberhuber,J.M. 1993 Simulation of the Atlantic circulation with a coupled sea-ice mixed layerisopycnal general circulation model. Part I: model description J. Phys. Oceanogr., 13, 808-829.
Oberhuber,J.M., Roeckner,E., Christoph,M., Esch,M. and Latif,M. 1998 Predicting the '97 El Niño
event with a global climate model Geophys. Res. Letts., 25, 2273-2276.
Roeckner,E., Arpe,K., Bengtsson,L., Brinkop,S., Dümenil,L., Esch,M., Kirk,E., Lunkeit,F., Ponater,M.,
Rockel,B., Suasen,R., Schlese,U., Schubert,S. and Windelband,M. 1992 Simulation of the present-day
climate with the ECHAM4 model: impact of model physics and resolution Max-Planck Institute for
Meteorology, Report No.93, Hamburg, Germany, 171pp.
Roeckner,E., Arpe,K., Bengtsson,L., Christoph,M., Claussen,M., Dümenil,L., Esch,M., Giorgetta,M.,
Schlese,U. and Schulzweida,U. 1996 The atmospheric general circulation model ECHAM-4: model
description and simulation of present-day climate Max-Planck Institute for Meteorology, Report
No.218, Hamburg, Germany, 90pp.
Zhang,X-H., Oberhuber,J.M., Bacher,A. and Roeckner,E. 1998 Interpretation of interbasin exchange in
an isopycnal ocean Climate Dynamics, 14, 725-740.
HadCM2
The recent experiments performed at the Hadley Centre have used the new Unified Model (Cullen,
1993). These experiments represent a large step forward in the way climate change is modelled by
GCMs and raises new possibilities for scenario construction. This experiment has overcome some of
the major difficulties that were associated with the previous generations of equilibrium (circa IPCC
1990) and cold-start transient (circa IPCC 1992) climate change experiments.
HadCM2 has a spatial resolution of 2.5° x 3.75° (latitude by longitude) and the representation produces
a grid box resolution of 96 x 73 grid cells. This produces a surface spatial resolution of about 417km x
278 km reducing to 295 x 278km at 45 degrees North and South (comparable to a spectral resolution of
T42).
The equilibrium climate sensitivity (DT2x) of HadCM2, that is the global-mean temperature response
to a doubling of effective CO2 concentration, is approximately 2.5°C, although, this quantity varies
with the time-scale considered. This is somewhat lower than most other GCMs (IPCC, 1992).
In order to undertake a 'warm-start' experiment it is necessary to perturb the model with a forcing from
an early historical era, when the radiative forcing was relatively small compared to the present. The
Hadley Centre started their experiments performed with HadCM2 with forcing from the middle
industrial era, about 1860 Mitchell et al., 1995 and Johns et al., 1995.
The greenhouse gas only integrations, HadCM2GG, used the combined forcing of all the greenhouse
gases as an equivalent CO2 concentration. A further series of integrations, HadCM2GS, used the
combined equivalent CO2 concentration plus the negative forcing from sulphate aerosols. The
HadCM2GG integrations simulated the change in forcing of the climate system by greenhouse gases
since the early industrial period (taken by HadCM2 to be 1860). The addition of the negative forcing
effects of sulphate aerosols represents the direct radiative forcing due to anthropogenic sulphate
aerosols by means of an increase in clear-sky surface albedo proportional to the local sulphate loading
(refer to Mitchell et al., 1995 for details of this method). The indirect effects of aerosols were not
simulated.
The modelled control climate shows a negligible long term trend in surface air temperature over the
first 400 years. The trend is about +0.04°C per century, which is comparable to other such experiments.
HadCM2CON represents an improvement over previous generations of GCMs that have been used at
the Hadley Centre (Johns et al., 1995 and Airey et al., 1995).
The experiments performed have simulated the observed climate system using estimated forcing
perturbations since 1860. Johns et al., (1995) and Mitchell et al., (1995) have established that
HadCM2's sensitivity is consistent with the real climate system. The agreement between the observed
global-mean temperature record and that produced in these experiments is better for HadCM2GS than
for HadCM2GG. This implies that HadCM2Gs has captured the observed signal of global-mean
temperature changes better than HadCM2GG for the recent 100-year record.
The climate sensitivity of HadCM2 is about 2.5ºC.
GFDL-R15
The experiments with the GFDL model used here were performed using the coupled ocean-atmosphere
model described in Manabe et al. (1991) and Stouffer et al., (1994) and references therein. The model
has interactive clouds and seasonally varying solar insolation. The atmospheric component has nine
finite difference (sigma) levels in the vertical. This version of the model was run at a rhomboidal
resolution of 15 waves (R15) yielding an equivalent resolution of about 4.5º latitude by 7.5º longitude.
The model has global geography consistent with its computational resolution and seasonal (but not
diurnal) variation of insolation.
The ocean model is based on that of Byan and Lewis (1979) with a spacing between gridpoints of 4.5º
latitude and 3.7º longitude. It has 12 unevenly spaced levels in the vertical dimension. To reduce model
drift, the fluxes of heat and water are adjusted by amounts which vary seasonally and geographically,
but do not change from one year to another. The model also includes a dynamic sea-ice model (Bryan,
1969) which allows the system additional degrees of freedom.
The 1000-year unforced simulation used here is described in Manabe and Stouffer (1996). The drift in
global-mean temperature during this unforced simulation is very small at about
-0.023ºC per century.
The two GFDL-R15 climate change experiments used here use the IS92a scenario of estimated past
and future greenhouse gas (GGa1) and combined greenhouse gas and sulphate aerosol (GSa1) forcing
for the period 1765-2065 (Haywood et al., 1997). For the GGa1 experiment only the 100-year segment
from 1958-2057 are available through the IPCC DDC. The radiative effects of all greenhouse gases is
represented in terms of an equivalent CO2 concentration, and the direct radiative sulphate aerosol
forcing is parameterised in terms of specified spatially dependent surface albedo changes (following
Mitchell et al., 1995). Results from these climate change experiments are discussed in Haywood et al.
(1997).
The model's climate sensitivity is about 3.7ºC.
References and other reading
Haywood,J.M., Stouffer,R.J., Wetherald, Manabe,S. and Ramaswamy 1997 Transient response of a
coupled model to estimated changes in greenhouse gas and sulphate concentrations Geophys. Res.
Letts., 24, 1335-1338.
Knutson,T.R. and Manabe,S. 1995 Time-mean response over the tropical Pacific to increased CO2 in a
coupled ocean-atmosphere model J.Climate, 8, 2181-2199.
Knutson,T.R., Manabe,S. and Gu,D. 1997 Simulated ENSO in a global coupled ocean-atmosphere
model: multidecadal amplitude modulation and CO2 sensitivity J.Climate, 10, 138-161.
Manabe,S. and Stouffer,R.J. 1996 Low frequency variability of surface air temperature in a 1000 year
integration of a coupled atmosphere-ocean-land surface model J. Climate, 9, 376-393
Manabe,S., Stouffer,R.J., Spelman,M.J. and Bryan,K. 1991 Transient response of a coupled oceanatmosphere model to gradual changes of atmospheric CO2. Part I: annual-mean response J. Climate, 4,
785-818
Simmonds,I. And Walland, D.J. 1998 Decadal and centennial variability of the southern semi-annual
oscillation simulated in the GFDL coupled GCM Climate Dynamics, 14, 45-54.
Stouffer,R.J., Manabe,S. and Vinnikov, K.Ya. 1994 Model assessment of the role of natural variability
in recent global warming Nature, 367, 634-636.
Further Details
http://www.gfdl.gov.climate.html
CGCM1
The first version of the Canadian Global Coupled Model, CGCM1, and its control climate are
described by Flato et al. (1999). The atmospheric component of the model is essentially GCMII
described by McFarlane et al. (1992). It is a spectral model with triangular truncation at wave number
32 (yielding a surface grid resolution of roughly 3.7ºx3.7º) and 10 vertical levels. The ocean
component is based on the GFDL MOM1.1 code and has a resolution of approximately 1.8ºx1.8º and
29 vertical levels. The model uses heat and water flux adjustments obtained from uncoupled ocean and
atmosphere model runs (of 10 years and 4000 years duration respectively), followed by an `adaption'
procedure in which the flux adjustment fields are modified by a 14 year integration of the coupled
model. A multi-century control simulation with the coupled model has been performed using the
present-day CO2 concentration to evaluate the stability of the coupled model's climate, and to compare
the modelled climate and its variability to that observed.
An ensemble of four transient climate change simulations has been performed and is described in Boer
et al. (1999a; b). Three of these simulations use an effective greenhouse gas forcing change
corresponding to that observed from 1850 to the present, and a forcing change corresponding to an
increase of CO2 at a rate of 1% per year (compounded) thereafter until year 2100. The direct forcing
effect of sulphate aerosols is also included by increasing the surface albedo (as in Reader and Boer,
1999) based on loadings from the sulphur cycle model of Langner and Rodhe (1991). The fourth
simulation considers the effect of greenhouse gas forcing only. The change in climate predicted by a
model clearly depends directly on this specification of greenhouse gas (and aerosol) forcing, and of
course these are not well known. The prescription described above is similar to the IPCC "business as
usual" scenario, and using a standard scenario allows the results of this model to be compared to those
of other modelling groups around the world. Some initial results from these simulations are presented
below.
The climate sensitivity of CGCM1 is about 3.5ºC.
References and Other Reading
Flato, G.M.; Boer, G.J.; Lee, W.G.; McFarlane, N.A.; Ramsden, D.; Reader, M.C.; Weaver, A.J.,
1999a: The Canadian Centre for Climate Modelling and Analysis Global Coupled Model and its
Climate, in press Climate Dynamics.
Boer, G.J.; Flato, G.M.; Reader, M.C.; Ramsden, D., "Transient climate change simulation with
historical and projected greenhouse gas and aerosol forcing", 1999b SELECTION--> /SELECTION-->,
in press Climate Dynamics.
Flato, G.M., Boer, G.J., Lee, W.G., McFarlane, N.A., Ramsden, D., Reader, M.C., Weaver, A.J., The
Canadian Centre for Climate Modelling and Analysis Global Coupled Model and its Climate,1999, in
press Climate Dynamics.
Reader, M.C. and Boer, G.J. 1998 The modification of greenhouse gas warming by the direct effect of
sulphate aerosols, Climate Dynamics, 14, 593-607.
CSIRO-Mk2
The CSIRO Atmospheric Research Mark 2b climate model (Hirst et al., 1996, 1999) has recently been
used for a number of more sophisticated climate change simulations. These start from 1880 to avoid the
"cold start problem".
This version of the CSIRO model includes the Gent-McWilliams mixing scheme in the ocean and
shows greatly reduced climate drift relative to earlier versions (e.g. Dix and Hunt, 1998). The drift in
global mean surface temperature in the new control run is about -0.02 ºC/century. Note that the model
uses flux correction.
The model atmosphere has 9 levels in the vertical and horizontal resolution of spectral R21
(approximately 5.6 by 3.2 degrees). The ocean model has the same horizontal resolution with 21 levels.
The equilibrium sensitivity to doubled CO2 of a mixed layer ocean version of the model is 4.3 degrees.
This is at the high end of the range of model sensitivities (e.g. IPCC 1995, Table 6.3). In the basic
greenhouse gas experiment the model combines the effect of all radiatively active trace gases into an
"equivalent" CO2 concentration. Observed concentrations are used from 1880 to 1990 and the IS92a
projections into the future. This gives close to a 1%/year compounding increase of equivalent CO2.
Another model experiment includes the negative radiative forcing from atmospheric sulphate aerosol.
The direct aerosol forcing is included via a perturbation of the surface albedo, similarly to the Hadley
Centre experiments described by Mitchell et al (1995) and Mitchell and Johns (1997) . The sulphate
concentrations are the same as used in the Hadley Centre experiments. However the chosen aerosol
optical properties are different, giving a present day forcing due to anthropogenic sulphate of about -0.4
W/m^2. This can be compared to the 1880-1990 greenhouse gas forcing of about 2 W/m^2.
The magnitude of the 20th century warming in the model including aerosol matches the observed
reasonably well. However there are a number of forcings missing from the model, including solar
variability, sulphate indirect effect and the effect of soot.
The climate sensitivity of CSIRO-Mk2 is about 4.3ºC (Watterson et al.,1997).
References and other reading
Dix, M. R., and Hunt, B. G. 1998. Transient climatic change to 3 x CO2 conditions. Global and
Planetary Change, 18 (1-2): 15-36.
Hirst, A. C., Gordon, H. B., and O'Farrell, S. P. 1996. Global warming in a coupled climate model
including oceanic eddy-induced advection. Geophysical Research Letters, 23 : 3361-3364.
Hirst A.C., O'Farrell S.P. and Gordon H.B., 1999: Comparison of a coupled ocean-atmosphere model
with and without oceanic eddy-induced advection. 1. Ocean spin-up and control integrations. J.
Climate, submitted.
Mitchell J.F.B., Johns T.C., Gregory J.M. and Tett S. 1995. Climate response to increasing levels of
greenhouse gases and sulphate aerosols. Nature, 376, 501-504.
Mitchell J.F.B. and Johns T.C. , 1997. On modification of global warming by sulphate aerosols, J.
Climate, 10, 245-267.
Watterson,I.G., O'Farrell,S.P. and Dix,M.R. 1997 Energy and water transport in climates simulated by
a general circulation model that includes dynamic sea ice. Journal of Geophys. Res., 102: 11,02711,037.
Further Details
http://www.dar.csiro.au/res/cm/default.htm
NCAR-DoE
The NCAR model version used here is the NCAR-DoE global coupled model (sometimes referred to as
the Washington-Meehl coupled model. Submissions to the DDC using the later NCAR CSM and PCM
models will follow). Simulations of 20th century climate and projections of climate into the 21st
century were conducted with a global coupled climate model without flux adjustment (these
experiments are described in Meehl et al. (1999). The global coupled climate model used in these
experiments has an atmospheric component with SELECTION-->rhomboidal 15 (R15) resolution
(roughly 4.5º latitude by 7.5º longitude) /SELECTION-->with 9 levels, mass flux convection and a
cloud albedo feedback scheme; a global 1º by 1º 20-level ocean; and dynamic and thermodynamic sea
ice (Meehl and Washington, 1995; Washington and Meehl, 1996). Characteristics of this model are
described by:
· Meehl and Washington (1995) for sensitivity aspects of the cloud albedo feedback scheme
· Meehl (1997) for details on the spin-up and systematic errors
· Washington and Meehl (1996) for basic description of a 1% per year CO2 increase experiment and
features of the high latitude response in the northern Hemisphere
· Meehl and Washington (1996) for description of the ``El Nino-like" pattern in the 1% CO2
increase sensitivity experiment
· Meehl et al. (1996) for results from a set of sensitivity experiments including the 1% per year CO2
increase experiment compared to experiments that include direct and indirect effects of sulphate
aerosols.
Two climate change experiments were performed, both starting in the year 1900. The first uses
greenhouse gas radiative forcing (represented by equivalent CO2) observed during the 20th century,
and extends greenhouse gas forcing to the year 2035 by increasing CO2 1% per year compound after
1990 (CO2-only experiment). The second includes the same greenhouse gas (equivalent CO2) forcing
as the first, but adds the effects of time-varying geographic distributions of monthly sulphate aerosol
radiative forcing (CO2+sulphates experiment). These are compared to a 135-year control experiment
with no change in external forcing. Climate system responses in the CO2-only and CO2+sulphates
experiments are marked not only by greater warming at high latitudes in the winter hemisphere, but
also by a global "El Nino-like" pattern in surface temperature, precipitation, and sea level pressure.
This is characterized by relatively greater increase of SST in the central and eastern equatorial Pacific
compared to the west, a shift of precipitation maxima from the western Pacific to the central Pacific,
mostly decreases of Asian-Australian monsoon strength, lower pressure over the eastern tropical
Pacific, deeper midlatitude troughs in the north and south Pacific, and higher pressure over Australasia.
An EOF analysis of surface temperature indicates that the "El Nino-like" pattern in the model
characterizes not only CO2-only and CO2+sulphates climate system response to time-varying external
forcing, but also internally-generated climate variability at the El Nino and decadal (9-20 year)
timescales. These results indicate that the "El Nino-like" pattern is a ubiquitous response in the climate
system that occurs at different timescales due to different forcings. The coupled model climate change
experiments show that time-evolving external forcing can introduce this same low frequency response
pattern into the coupled climate system.
The climate sensivity of this model is about 4.6degC.
References
Meehl,G.A. 1997 Modification of surface fluxes from component models in global coupled models
J.Climate, 10, 2811-2825.
Meehl,G.A. and Washington,W.M. 1995 Cloud albedo feedback and the super greenhouse effect in a
global coupled GCM Climate Dynamics, 11, 399-411.
Meehl,G.A. and Washington,W.M. 1996 El Nino-like climate change in a model with increased
atmospheric CO2 concentrations Nature, 382, 56-60.
Meehl,G.A., Washington,W.M., Arblaster,J.M., Bettge,T.W. and Strand Jr.W.G. 1999 Anthropogenic
forcing and climate system response in simulations of 20th and 21st century climate J.Climate
(submitted)
Meehl,G.A., Washington,W.M., Erickson III,D.J., Briegleb,B.P. and Jaumann,P.J. 1996 Climate
change from increased CO2 and the direct and indirect effects of sulphate aerosols Geophys. Res.
Letts., 23, 3755-3758.
Washington,W.M. and Meehl,G.A. 1996 High latitude climate change in a global coupled oceanatmosphere-sea ice model with increased atmospheric CO2 J.Geophys. Res., 101, 12,795-12,801.
Further Details
Jerry Meehl ([email protected]) or Julie Arblaster ([email protected])
CCSR/NIES
The model used here is a coupled ocean-atmosphere model that consists of the CCSR/NIES
atmospheric GCM, the CCSR ocean GCM, a thermodynamic sea-ice model, and a river routing model
(Abe-Ouchi et al., 1996). The spatial resolution is T21 spectral truncation (roughly 5.6º
latitude/longitude) and 20 vertical levels for the atmospheric part, and roughly 2.8º horizontal grid and
17 vertical levels for the oceanic part. Flux adjustment for atmosphere-ocean heat and water exchange
is applied to prevent a drift of the modelled climate.
The atmospheric model adopts a radiation scheme based on the k-distribution, two-stream discrete
ordinate method (DOM) (Nakajima and Tanaka, 1986). This scheme can deal with absorption,
emission and scattering by gases, clouds and aerosol particles in a consistent manner. In the calculation
of sulphate aerosol optical properties, the volumetric mode radius of the sulphate particle in dry
environment is assumed to be 0.2 micron. The hygroscopic growth of the sulphate is considered by an
empirical fit of d'Almeida et al. (1991). The vertical distribution of the sulphate aerosol is assumed to
be constant in the lowest 2 km of the atmosphere. The concentrations of greenhouse gases are
represented by equivalent-CO2.
Three integrations are made for 200 model years (1890-2090). In the control experiment (CTL), the
globally uniform concentration of greenhouse gases is kept constant at 345 ppmv CO2-equivalent and
the concentration of sulphate is set to zero. In the experiment GG, the concentration of greenhouse
gases is gradually increased, while that of sulphate is set to zero. In the experiments GS, the increase in
anthropogenic sulphate as well as that in greenhouse gases is given and the aerosol scattering (the
direct effect of aerosol) is explicitly represented in the way described above. The indirect effect of
aerosol is not included in any experiment.
The scenario of atmospheric concentrations of greenhouse gases and sulphate aerosols is given in
accordance with Mitchell and Johns (1997). The increase in greenhouse gases is based on the historical
record from 1890 to 1990 and is increased by 1% / yr (compound) after 1990. For sulphate aerosols,
geographical distributions of sulphate loading for 1986 and 2050, which are estimated by a sulphur
cycle model (Langer and Rodhe, 1991), are used as basic patterns. Based on global and annual mean
sulphur emission rates, the 1986 pattern is scaled for years before 1990; the 2050 pattern is scaled for
years after 2050; and the pattern is interpolated from the two basic ones for intermediate years to give
the time series of the distribution. The sulphur emission rate in the future is based on the IPCC IS92a
scenario. The sulphate concentration is offset in our run so that it starts from zero at 1890. The seasonal
variation of sulphate concentration is ignored.
Discussion on the results of the experiments will be found in Emori et al. (1999). Climate sensitivity of
the CCSR/NIES model derived by equilibrium runs is estimated to be 3.5 degrees Celsius.
References
Abe-Ouchi,A. et al., 1996 Outline of SELECTION-->CCSR/NIES /SELECTION--> coupled
atmosphere and ocean model and experiment. Internal report, Centre for Climate System Research,
University of Tokyo, Japan.
Emori, S., Nozawa T., Abe-Ouchi A., Numaguti A., Kimoto M., and Nakajima T. 1999 Coupled oceanatmosphere model experiments of future climate change with an explicit representation of sulfate
aerosol scattering. J.Meteor. Soc. Japan, (submitted).
d'Almeida,G.A. et al. eds., 1991 Atmospheric Aerosols: Global Climatology and Radiative
Characteristics, A.Deepak Publishing, 561pp.
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Further Details
Ayako Abe-Ouchi ([email protected]) or Seita Emori ([email protected])
Appendix 2: File names
EEGGA1.zip
EEGSA1.zip
HHGSAX.zip
HHGSAX.zip
GGGGA1.zip
GGGSA1.zip
CCGSAX.zip
AAGGA1.zip
AAGSA1.zip
NNGGA1.zip
NNGSA1.zip
JJGGA1.zip
JJGSA1.zip
ECHAM:
ECHAM:
HadCMX:
HadCMX:
GFDLR15:
GFDLR15:
CGCM1:
CSIROMk2b:
CSIROMk2b:
NCAR-DOE:
NCAR-DOE:
CCSR/NIES:
CCSR/NIES:
Greenhouse Gas 1%
Greenhouse Gas and sulphate aerosol 1%
Greenhouse Gas 1% ensemble X
Greenhouse Gas and sulphate aerosol 1% ensemble X
Greenhouse Gas 1%
Greenhouse Gas and sulphate aerosol 1%
Greenhouse Gas 1% and sulphate aerosol 1% ensemble mean
Greenhouse Gas 1%
Greenhouse Gas and sulphate aerosol 1%
Greenhouse Gas 1%
Greenhouse Gas and sulphate aerosol 1%
Greenhouse Gas 1%
Greenhouse Gas 1% and sulphate aerosol 1%