global warming projections for the ipcc sar and tar using simple models sarah raper
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Global Warming Projections for the IPCC SAR and TAR using
simple modelsSarah Raper
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Model for the Assessment of Greenhouse-gas Induced Climate Change (MAGICC)
IPCC SAR version
IPCC TAR version
New features include: Carbon-cycle feedbacks Forcing updated to be consistent with TAR chapters Climate model tuning to reproduce specific AOGCM results AOGCM consistent sea level
Gas-cycle models Climate
modelTemperature
changeSea level
rise
IS92 emissions
6 scenarios
Funded by DETR
Radiative forcing
Gas-cycle models Climate
modelTemperature
change
SRES emissions
35 scenarios
Radiative forcing
Sea level rise
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A2A1
B1 B2
Economic
Socio-Economic Scenarios
RegionalGlobal
Environmental
B - balancedFI - fossil intensiveT - non-fossil
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Well-mixedATMOSPHERE
concentration
Anthropogenicemissions
Natural emissions
Schematic treatment of well mixed gases
Removal processes proportional to concentration
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UD model
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Energy balance climate model
ΔQ=λΔT+ΔF
ΔQλΔTΔF
External forcing (Wm-2)Feedback term (Wm-2)
Heat flux from bottom of the atmosphere (Wm-2)
At equilibrium ΔF = zeroAt 2xCO2 ΔQ2xΔQ=
The climate sensitivity, ΔT2x =ΔQ2x
λ
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The CMIP2 data set
Climate Model Intercomparison project
Model forcing is a 1% compound increase in CO2
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0
0.5
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4.5
GFDL CGCM1 CSIRO HadCM3 HadCM2 ECHAM3 CSM PCMModel
Effective climate sensitivity (oC)Ocean heat flux (Wm-2)Temperature change (oC)
Results of CMIP2 analysis
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-2
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Model
NO DATA
Shows changes in the THC in the CMIP2 data at the time of CO2 doubling.
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Comparison of effects on temperatureProjections of SAR and TAR high and low emissions scenariosand science methods
•Differences can be divided into the emissions scenarios and the science
•The main source of emissions-related differences is aerosol forcing•The TAR science leads to slightly lower total forcing and slightly larger warming
•For the low scenarios the effects are roughly equal, both leading to higher warming•For the high scenarios the main effect is due to the new emissions scenario
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1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
YEAR
RADIATIVE FORCING (W/m
2)
TAR
TAR
TAR
TAR
OLD
SAR
SAR
A1C
92e
B1
92c
Radiative forcing for low and high estimates of global-meanWarming given in the IPCC SAR and TAR
From Wigley and Raper J of Climate (in press)
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0
1
2
3
4
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6
1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
YEAR
GLOBAL-MEAN TEMPERATURE CHANGE (
oC)
OLD
TAR
TAR
SAR
TAR
TAR
SAR
A1C
92e .
B1
92c
Low and high estimates of global-mean warming given in the IPCC SAR and TAR From Wigley and Raper J of Climate (in press)
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Sea level rise
Parameters to be considered
Thermal expansionLand based ice -
GreenlandAntarcticaGlaciers and icecaps
Changes in permafrostEffect of sediment depositonLong-term adjustment of icesheets
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Projected global-average sea-level rise for the IS92a scenario (IPCC 2001)
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Projections of total sea-level rise 1990-2100 (IPCC 2001)
SRES scenarios
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Co2 Forcing Effect
Relationship between CO2 concentration (C) and forcing is
ΔQ = α ln(C/Co)
S = ΔT2X/ΔQ2X
ΔQ is the forcing change due to concentration change from C0 to C SAR = 6.3, TAR = about 5.31
ΔT2X is the equilibrium CO2 doubling temperature changeS is the sensitivityIf is reduced but ΔT2X is not, then the radiative forcing dueto CO2 is reduced, while the true climate sensitivity is increased