Improvement of AIM/Impact[Policy]€¦ · o t e n t i a l r i c e p r o d u c t i v i t y 75 80 85...
Transcript of Improvement of AIM/Impact[Policy]€¦ · o t e n t i a l r i c e p r o d u c t i v i t y 75 80 85...
Improvement of AIM/Impact[Policy]
Yasuaki Hijioka([email protected])
14th AIM International Workshop February 16th, 2009
Ohyama Hall, NIES, Japan
NIES
Presentation OutlinePresentation Outline
1.1. ObjectivesObjectives
2.2. Overview of AIM/Impact[Policy]Overview of AIM/Impact[Policy]
3.3. Improvement of AIM/Impact[Policy]Improvement of AIM/Impact[Policy]
•• The Project for Comprehensive Projection of The Project for Comprehensive Projection of Climate Change Impacts [SClimate Change Impacts [S--4 project]4 project]
4.4. Future planFuture plan
NIES
ObjectivesObjectives
Development of integrated assessment model, AIM/Impact[Policy], for comprehensive analysis and assessment of GHG stabilization concentration targets and emission pathways for realizing them, as well as impacts and risks under such targets
Assist policymakers’decision in action programs to arrest global warming
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Concept of Concept of Integrated Assessment modelIntegrated Assessment model
Integrated assessment model, AIM/Impact[Policy]
Projection of future GHG emissions and climate change impacts under stabilization targets
Present Future
Tem
p. in
crea
se
Temp. inc. Low
Temp. inc. High
Present Future
GH
G C
on.
GHG Con. Low
GHG Con. High
Present Future
CC im
pact
s
Impact small
Impact Large
Present Future
GH
G e
mis
sion
s
Effort for GHG reduction Large
Effort for GHG reduction small
Climate change Impact Response Function
Impact/Adaptation
GHG Emissions
Overview of integrated Overview of integrated assessment modelassessment model
Global GHG emission path
GMTI
Pattern scaling module
Climate Scenario
by country
Potential impact
estimation module
National/ Sector-wise impacts
Integrated assessment
(Emission/Climate/Impacts)
Energy-economic model
Simple climate model
GCM results Adaptation
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Example of global GHG emissions to Example of global GHG emissions to achieve 50% GHG reductionachieve 50% GHG reduction
Base year: Case1,2(1990), Case3,4(2000), Case5,6: 2004
0
2
4
6
8
10
12
14
1990
2000
2010
2020
2030
2040
2050
2060
2070
2080
2090
2100
Kyot
o G
as E
mis
sion
s (G
tCeq
/yr)
Year
Case 1 Case 2 Case 3 Case 4 Case 5 Case 6
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Impact assessment and adaptation modelImpact assessment and adaptation model
Database type model (pre-simulated results of process type models)
Using existing detailed sector-level impact assessment models, the impact on each lattice point is estimated by sensitivity analysis using the two climate factors of temperature and precipitation
Spatially averaged country-level and sector-level impact functions are to be prepared.
This database can also contain knowledge obtained by other impact studies.
Precipitation -50% Precipitation 0%
Temperature +0ºC
Change of potential crop productivity(rice) 0 2 3 4 5 6 (t/ha)
Precipitation 100%
Temperature +3ºC
Temperature +6ºC
Temperature +9ºC
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Example of Impact Response Example of Impact Response FunctionFunction
2d 1d 0 1 2 3 4 5 6 7 8405060708090100110120130140150
Temperature change
Prec
ipita
tion
chan
ge0-25 25-50 50-75 75-100 100-125
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Example of global impact assessment-Probability of Heat Stress Mortality-
BaU
2 degree celsius increase
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Example of uncertainty analysis
75
80
85
90
95
100
10520
00
2020
2040
2060
2080
2100
Year
Pote
ntia
l ric
e pr
oduc
tivi
ty
75
80
85
90
95
100
105
2000
2020
2040
2060
2080
2100
YearPo
tent
ial r
ice
prod
ucti
vity
Y ea r
BCCRbcm2-PCM_A2 BCCRbcm2-PCM_B1 CCCm_A2 CCCm_B2 CCCma-PCMA1B CCCma-PCMA2 CCCma-PCMB1CCCmat63-PCMA1B CCCmat63-PCMB1 CCSR_A1 CCSR_A1T CCSR_A2 CCSR_AF CCSR_B1CCSR_B2 CGCM-PCMA1B CGCM-PCMA2 CGCM-PCMB1 CNRMcm3-PCMA1B CNRMcm3-PCMA2 CNRMcm3-PCMB1CSIRO_A1 CSIRO_A2 CSIRO_B1 CSIRO_B2 CSIROmk3-PCMA1B CSIROmk3-PCMA2 CSIROmk3-PCMB1ECHAM4-PCM_A1B ECHAM-PCM_A1B ECHAM-PCM_A2 ECHAM-PCM_B1 ECHO-PCM_A1B ECHO-PCM_A2 ECHO-PCM_B1FGOALS-PCM_A1B FGOALS-PCM_B1 GFDL_A2 GFDL_B2 GFDLcm20-PCM_A1B GFDLcm20-PCM_A2 GFDLcm20-PCM_B1GFDLcm21-PCM_A1B GFDLcm21-PCM_A2 GFDLcm21-PCM_B1 GISSaom-PCM_A1B GISSaom-PCM_B1 GISSeh-PCM_A1B GISSer-PCM_A2GISSer-PCM_B1 HADCM3_A2 HADCM3_A2b HADCM3_A2c HADCM3_B2 INMCM3-PCM_A1B INMCM3-PCM_A2INMCM3-PCM_B1 IPSLcm4-PCM_A1B IPSLcm4-PCM_A2 IPSLcm4-PCM_B1 MIROC_A1B MIROCh-PCM_A1B MIROCh-PCM_B1MIROCm-PCM_A1B MIROCm-PCM_A2 MIROCm-PCM_B1 MIROCold_A1B NCARccsm3-PCM_A1B NCARccsm3-PCM_A2 NCARccsm3-PCM_B1NCARpcm1-PCM_A1B NCARpcm1-PCM_A2 UKMOhadcm-PCM_A1B UKMOhadcm-PCM_A2 UKMOhadcm-PCM_B1 UKMOhadgem1-PCM_A1B UKMOhadgem1-PCM_A2Ave.
BaU2ºC
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Improvement of AIM/Impact[Policy]Improvement of AIM/Impact[Policy]
Revision of parameters reflecting AR4 scientific
information, such as climate sensitivity, radiative
forcing
Improvement of carbon cycle module
From box type model to impulse function type model
Additional integration of impact response functions
Research outcomes by the Project for Comprehensive
Projection of Climate Change Impacts [S-4 project]
NIES
The Project for Comprehensive The Project for Comprehensive Projection of Climate Change ImpactsProjection of Climate Change Impacts
Global Environment Research Fund S-4 by Ministry of the EnvironmentTargeted area: Asian region including JapanTargeted fields: Water resources, forests, agriculture, coastal zones, human healthResearch period:
Period I (2005-2007) + Period II (2008-2009)
Project leader: Nobuo MIMURA, Ibaraki UniversityNumber of sub-themes: Seven
Number of participating research institutions: 20 (2007)Number of participating researchers: 44 (2007)
NIES
Objectives ofObjectives of the research projectthe research project
To obtain quantitative knowledge on climate change impacts in key fields in the Asian regionincluding Japan, targeting the period up to the end of the present century while focusing on the period up to around 2050. Water resources, Forests, Agriculture, Coastal zones, and Human health
To comprehensively grasp the impacts on Japan and elucidate the relationships with the level of global warming.
Risk Map
Without adaptation measures
With adaptation measures
SS--4 research method4 research method
WaterHumanhealth
Agri. Coasts Forests
Improvement of Impact Projection
Climate scenario
Population scenario
Common scenarioDevelopment of Impact Functions
Economic assessment
Proposal of economic assessment method
Development of monetary assessment basic unit
0
5
10
15
20
1990
2000
2010
2020
2030
2040
2050
2060
2070
2080
2090
2100
GHG emissions
300
500
700
900
1100
1990
2000
2010
2020
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2040
2050
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2080
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2100
2110
2120
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GHG concentrations
0.0
1.0
2.0
3.0
4.0
5.0
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2000
2010
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2050
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2120
2130
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Temperature changes
-30-25-20-15-10
-50
2000
2010
2020
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2050
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2100
Impacts
Integrated assessment model
Adaptationmeasures
IntegratedIntegratedAssessmentAssessment
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Climate Change Impacts on JapanClimate Change Impacts on Japan-- Latest Scientific Findings Latest Scientific Findings --
Press Release: 29th May, 2008
Results for the first three years
Full report: 94 pages
Brief summary: 15 pages
http://www-cger.nies.go.jp/climate/rrpj-impact-s4report.html
NIES
Reported risk mapsReported risk mapshttp://www-cger.nies.go.jp/climate/rrpj-impact-s4report.html
1年に熱ストレスで死亡する確率(人口1000万人あたりの死亡数で示したもの)
0 1 10 100 5000 1 10 100 500
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Summary of the reportSummary of the report
1. While impact levels and rates of increase will vary by region, there are especially vulnerable regions for each field.
2. Although the level of impact and rate of increase vary according to the field, Japan will also experience significant impacts even with a relatively low temperature rise.
3. In view of the fact that the impacts of climate change have been appearing in various fields in recent years, the immediate planning of appropriate adaptation measures is necessary.
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Impact Response Functions (Japan)Impact Response Functions (Japan)
Flood area and economic lossTohoku University
Risk of slope disaster and economic lossTohoku University
Suitable habitat for Japanese beechForestry and Forest Products Research Institute and NIES
Risk area of pine wiltForestry and Forest Products Research Institute
Rice yieldNational Institute for Agro-Environmental Sciences
Area, affected population and economic loss of storm-surge flooding
National Institute for Land and Infrastructure Management
Heat stress mortality riskTsukuba University and NIES
Comprehensive assessment of climate change impactsComprehensive assessment of climate change impacts
Average temperature increase in Japan (1990 = 0ºC)0.0 1.0 2.0 3.0 4.0 5.0 0.0 1.0 2.0 3.0 4.0 5.0
0.951.001.051.101.151.20
Chan
ge in
flood
ed a
rea
012345
Chan
ge in
exp
ecte
dec
onom
ic lo
ss fr
om h
eavy
rain
once
eve
ry 5
0 ye
ars
Flooded area
Economic loss
0.981.001.021.041.061.081.10
Chan
ge in
ave
rage
valu
e of
slo
pedi
sast
er ri
sk in
Japa
n
0.991.001.011.021.031.041.05
Chan
ge in
exp
ecte
dec
onom
ic lo
ss fr
om h
eavy
rain
once
eve
ry 5
0 ye
ars
Slope disasters
Economic loss
0.9
1.0
1.1
Rice
yie
ld
Rice yield
123456
Chan
ge in
hea
tst
ress
mor
talit
y ris
k
Heat stressmortality risk
1.0
1.5
2.0
2.5
Chan
ge in
the
area
at r
isk
from
pin
e w
ilt d
amag
e
0
50
100
150Ra
te o
f dec
reas
ein
sui
tabl
e ha
bita
tfo
r Jap
anes
ebe
ech
(%)
Pine wiltJapanese beech
1.0
2.0
3.0
4.0
5.0
Chan
ge in
are
a of
sto
rm-s
urge
floo
ding Population affected
Area of storm-surgeflooding
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Conclusion and Future planConclusion and Future plan
AIM/Impact[Policy] has been improved and applied to several projects
Energy-economic model has been applied to develop stabilization scenario, such as AR5 RCP and Japanese middle term GHG reduction targets Impact assessment and adaptation model has been applied Japaneseimpact assessment
1. Implementation of new Japanese impact response functions, such as risk of vector-borne infectious diseases, fruit productivity, etc
2. Improvement of AIM/Impact[Policy]• Development of new functions to assess adaptation options
• Development of distributed version
• User and Technical Manual and report