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Apportioning climate change indicators to regional emitters

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Title: Apportioning climate change indicators to regional emitters


1
Apportioning climate change indicators to
regional emitters
  • Jason Lowe
  • September 2002

2
Estimating regional share
CONCENTRATIONS FROM EACH COUNTRY/REGION
3
Results Phase 1
Unless otherwise stated, results use EDGAR-HYDE
1.4 gas emissions.
4
CDIAC Basic model (no feedback)
Temperature
CO2 Conc
CH4 Conc
N2O Conc
5
CDIAC Extended model (feedback)
6
CDIAC Basic model (no feedback)Short CH4 and
N2O lifetimes
7
EDGAR/HYDE Basic model
8
EDGAR/HYDE Extended model
9
Can we simulate B1 CO2 concentrations using a
simple model? Input to HadCM3 is used as a
comparison
HadCM3 CO2 concentrations derived from Bern
carbon cycle model. Pre-1990 values agree well
with observations
10
Can we simulate A1FI CO2 concentrations using a
simple model?Input to HadCM3 is used as a
comparison
11
Can we simulate temperature rise using a simple
model? HadCM3 simulation is used as a comparison
12
Results Phase 2
Unless otherwise stated, results use marginal
approach.
13
Regional share of CO2 emissions
14
Regional share of cumulative CO2 emissions
15
Regional share of CO2 concentrations
16
Regional share of GHG forcing
17
Global temperature rise from regional emissions
18
Regional share of temperature rise
19
Share of the temperature rise to 2100
20
Regional share of temperature rise annex 1 and
non-annex 1
21
Regional share of temperature rise Only using
emissions after 1950
22
Regional share of temperature riseOnly emissions
after 1990
23
Are the results different for other scenarios?
A1FI
B1
A2
24
Does feedback affect the apportionment
calculation?
No temperature feedback
Temperature feedback
25
Does the amount of carbon cycle fertilization
affect the result?
Bern high case
Bern low case
26
Does a slower climate response (only long time
constant) affect the result?
Slow climate model response
27
Comparing attribution methods
All minus one
Marginal
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