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World and Asia climate change: Assessment results by IPCC and Japanese supercomputer model predictions
LA of AR4 WG1 Chapter 5:Observations: Oceanic Climate Change and Sea LevelNational Institute for Environmental StudiesCenter for Global Environmental Research
Yukihiro NOJIRI
2
AR4 Publication (Nov.21, 2007)
WG1 The Physical Science Basis, published and pdf available from IPCC web
WG2 Impacts, Adaptation and Vulnerability, pdf available from IPCC web
WG3 Mitigation of Climate Change, pdf available from IPCC web
3
5 Lead Authors and 1 Reviewing Editor for the 3 WGs WG1: Y. Nojiri (LA) and contributors WG2: H. Harasawa (CLA), K. Takahashi (LA), S. Nishiok
a (RE) and contributors WG3: M. Kainuma (LA), S. Hashimoto (LA) and contriut
ors NIES research field covers the whole aspect of climate
change sciences We have 4 groups of climate change research; carbon
cycle, satellite observation, modeling, socio-economic study.
NIES Contribution to IPCC AR4
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IPCC Web Page
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AR4 is based on the direct obs. of recent climate change
Since the TAR (3rd assessment report), progress in understanding how climate is changing in space and in time has been gained through:
improvements and extensions of numerous datasets and data analyses
broader geographical coveragebetter understanding of uncertainties,
anda wider variety of measurements
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Global mean temperatures are rising faster with time
100 0.0740.018
50 0.1280.026
Warmest 12 years:1998,2005,2003,2002,2004,200
6, 2001,1997,1995,1999,1990,200
0
Period Rate
Years /decade
7
Annual averages of the global mean sea level Averaged global
sea level rise for 1961-2003 is 1.8mm/y.
Rising rate increased to 3.1 mm/y for 1993-2003.
Sea level rise in 20th century is estimated as 0.17m.
Red: reconstructed sea level after 1870Blue: tide gauge observed sea level after 1950Black: sea level based on satellite altimetry
20th century: 1.7±0.5mm/y
1961~ 2003:1.8±0.5mm/y
1993~ 2003:3.1±0.7mm/y
17cm rise in 20th century
Smoothed annual anomalies for precipitation (%) over land from 1900 to 2005; other regions are dominated by variability.
Land precipitation is changing over broad areas
Increases
Decreases
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Global-average radiative forcing estimates and ranges
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Atmospheric CO2 is increasing relating to the fossil fuel emission rate.
Atmospheric oxygen gives constraint for estimating terrestrial and oceanic CO2 sinks.
Atmospheric C isotope change is one of strong evidence of anthropogenic emission.
fossil fuel emission
C isotope change
oxygen/nitrogen ratio
atmospheric CO2
Recent atmospheric CO2 change
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1. How will the world socio-economic conditions develop?
2. How much GHGs will be emitted from the society?
3. How much GHGs will be accumulated in the atmosphere?
4. How will the climate change due to increased atmospheric GHGs?
5. How will the climate change affect human society and ecosystem?
How to project the future?
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How will the climate change due to the increased atmospheric GHGs?
‘Climate Model’ = a climate in a computer
Discretize atmosphere, ocean, land into ‘grids’
Define physical quantities(wind, temp, ..) at each grid
Solve equations of physical principles that govern climate
...
cos
1tan
a
pv
a
uf
dt
duF
dt
dp
dt
dTcv
Q
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The “Earth Simulator” ©JAMSTEC
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Climate model and resolution ©JAMSTEC
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Weather chart from JWA
4/18(initial) 4/19(forecast) 4/20(forecast)
4/21(forecast) 4/22(forecast) 4/23(forecast)
Weather forecast is solved from the initial condition, therefore it is impossible to project more than a week or so.
AA
A
B BB
B B
C C CD
16Averaged feature of weather (i.e. climate) not depends on the initial condition, therefore an ensemble run from many initial conditions can represent future climate.
100 yr projection of Japanese Jan. temperature from 3 initial conditions
The difference of initial conditions give different inter-annualvariability, however, the trend (e.g. 100 year average of temperature increase) is very simillar.
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Why the prediction of temperature rise (climate sensitivity) is difficult?
Radiativeforcing
Changes invapor, snow-ice,cloud …
Feedback
The magnitude of feedback determinesclimate sensitivity
Cloud feedback is especially uncertain
Temperaturerise
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Not purely derived from physical principles (cloud, rain, radiation,
small-scale mixing, …)↓
Half-empirically represented (Source of uncertainty!)
How will the climate change due to the increased atmospheric GHGs?
‘Climate Model’ = a climate in a computer
Descretize atmosphere, ocean, land into ‘grids’
Define physical quantities(wind, temp, ..) at each grid
Solve equations of physical principles that govern climate
...
cos
1tan
a
pv
a
uf
dt
duF
dt
dp
dt
dTcv
Q
19
Simulated Temperature Change (1950-2100)
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Assessed ranges for surface warming
(IPCC, 2007)
Scenario dependence
Scientific uncertainty
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1. Agriculture2. Water Resources3. Human health
(Infectious diseases and heat stress)
4. Coastal floods (Heavy rainfall and high tide)
5. …
Impacts of Climate Changeon Human Society
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Projections of Future Changes in Climate
There is now higher confidence in projected patterns of warming and other regional-scale features, including changes in wind patterns, precipitation, and some aspects of extremes and of ice.
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Frost days and heat waves
Extreme events like heat wave, draughts or floods are likely to increase in the future climate.
Heat waves may increase globally, especially Mediterranean and Western North America.
Frost days (days of minimum temperature of 0C)
Heat waves (length of the period of days of 5C higher than climatology)
decreasing increasing Winter warming may be more significant
than summer warming.
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Change of precipitation
Extreme events like heat wave, draughts or floods are likely to increase in the future climate.
Precipitation intensity (annual total precipitation/number of wet days)
Dry days (annual maximum of consecutive dry day)
Subtropical to mid latitude area may have increasing chance of draught.
increasingincreasing
Most of the area may have increasing chance of heavy rain fall.
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JAMSTEC/NIES/University of Tokyo Joint Project
Climate Sensitivity of 4C/CO2 doubling, which is within the higher sensitivity group in the participated simulation models for IPCC AR4 comparison
Following simulation results are for A1B scenario
Climate change movies:by Japanese Earth Simulator
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Global temperature increase
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Global precipitation change
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Sea surface temperature increase
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Snow cover decrease
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Projection of 21th century climate change for each continent from IPCC AR4 report
Box 11.1, Figure 1
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Projection for Asian climate change from IPCC AR4 report
Figure 11.8
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Projection for Asian climate change from IPCC AR4 report
Tibet
India
Japan
Central Asia
Siberia
Thailand < global av. T increase
> global av. T increase
Less precipitation
More precipitation
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Projection for Asian climate change from IPCC AR4 report
Figure 11.9
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Robust findings on extreme precipitation and draught from IPCC AR4 report
Box 11.1, Figure 2
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Hotspot of key vulnerabilities in Asia from IPCC AR4 report
Please check the WG2 report!
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Key vulnerabilities in Asia from IPCC AR4 report
Southeast Asia will be vulnerable for Food and fibre, Biodiversity, Coastal ecosystem, Human health and Land degradation by global warming in 21th century
Central Asia is especially vulnerable for Water resource with very high confidence and South Asia for Food and fibre