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MET 112 Global Climate Change Lecture 15

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CO2 Concentration. 6. MET 112 Global Climate Change. Carbon Cycle Models ... time-frame sufficient : to allow ecosystems to adapt naturally. to climate change. ... – PowerPoint PPT presentation

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Title: MET 112 Global Climate Change Lecture 15


1
MET 112 Global Climate Change - Lecture 15
  • Climate Change Future Predictions
  • Eugene Cordero
  • San Jose State University
  • Outline
  • Scenarios
  • Global Models
  • Future Predictions

2
Climate Change and humans
  • Anthropogenic increases in
  • Emission scenarios have been developed
  • Changes in solar irradiance and volcanic aerosols

3
Climate Change and humans
  • Anthropogenic increases in
  • greenhouse-gas concentrations
  • sulfate aerosols due to anthropogenic emissions
  • Emission scenarios have been developed
  • Changes in solar irradiance and volcanic aerosols
  • Unpredictable and difficult to model

4
Calculation of Future CO2 Concentrations
CO2
Carbon Cycle Model Simulates atmosphere-biospher
e and atmosphere-ocean interactions
CO2
5
Calculation of Future CO2 Concentrations
CO2 Emissions
Carbon Cycle Model Simulates atmosphere-biospher
e and atmosphere-ocean interactions
CO2 Concentration
6
Carbon Cycle Models
  • Atmosphere/ocean and atmosphere/biosphere
    interactions not well understood
  • Model calculations contain uncertainty the
    largest uncertainty

7
Carbon Cycle Models
  • Atmosphere/ocean and atmosphere/biosphere
    interactions not well understood
  • Model calculations contain uncertainty the
    largest uncertainty
  • Future uptake of carbon by the biosphere
  • Future uptake of carbon by the oceans

8
Past and Projected Future CO2 Concentrations
(Back-Up)
9
Past and Projected Future CO2 Concentrations
(Back-Up)
(ppm) Parts per million
10
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  • Therefore, stabilizing emissions is not enough to
    reduce the radiative forcing
  • Based on above, how much will emissions have to
    decline in to stabilize CO2 at 550ppm?

12
Scenarios
Emission Scenarios
SRES (special report on emission scenarios)
13
Scenarios
14
CO2 emissions for stabilization scenarios
15
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16
CO2 concentrations (amount)
17
Projected CO2 Concentrations for Various Scenarios
  • Note that even the low-emission scenarios result
    in greatly increased CO2 concentrations by the
    year 2100
  • Max concentration (of scenarios shown)
  • Min concentration (of scenarios shown)

18
Projected CO2 Concentrations for Various Scenarios
  • Note that even the low-emission scenarios result
    in greatly increased CO2 concentrations by the
    year 2100
  • Max concentration (of scenarios shown) 970 ppm
  • Min concentration (of scenarios shown) 550 ppm
  • (Compare with current value 370 ppm)

19
Climate Models
  • A climate model is a mathematical representation
    of the physical processes that control climate
  • Basically everything that affects climate
  • Equations are very complicated
  • Some of the largest supercomputers are currently
    running climate models

20
Climate Models
  • A climate model is a mathematical representation
    of the physical processes that control climate
  • Basically everything that affects climate
  • Sun, atmosphere (greenhouse gases, aerosols),
    ocean, land
  • Equations are very complicated
  • Some of the largest supercomputers are currently
    running climate models

21
Model Schematic
Changes in greenhouse-gas concentrations and
changes in albedo due to aerosols
Climate Model
22
Model Schematic
Changes in greenhouse-gas concentrations and
changes in albedo due to aerosols
Climate Model
Climate change (i.e. temperature, winds etc.)
23
Adjustable Parameters
  • Climate Models contain a number of knobs to
    adjust the model.
  • These knobs corresponds to physical processes
    that cannot be well modeled
  • These knobs are set to best fit observations.
  • Thus ,models have inherent uncertainties

24
Adjustable Parameters
  • Climate Models contain a number of knobs to
    adjust the model.
  • These knobs corresponds to physical processes
    that cannot be well modeled
  • These knobs are set to best fit observations.
  • Thus ,models have inherent uncertainties
  • Many different models are used (different
    research teams) to develop a consensus.

25
General Circulation Models (GCMs)
  • The most sophisticated type of climate model.
  • Atmosphere/Ocean/Ice GCMs simulate the dynamics
    and thermodynamics of atmosphere/ocean/ice
    interactions.
  • These models produce
  • Can simulate regional effects

26
General Circulation Models (GCMs)
  • The most sophisticated type of climate model.
  • Atmosphere/Ocean/Ice GCMs simulate the dynamics
    and thermodynamics of atmosphere/ocean/ice
    interactions.
  • These models produce
  • 3-dimensional simulations
  • Can simulate regional effects
  • Very computationally expensive to run

27
Model Verification Can it be done?
  • Before you can trust any of these models, they
    must be verified.
  • If your model can simulate the past and present
    climate, then there is a reasonable chance that
    the model can reasonably model future climate.

28
Model Verification Can it be done?
  • Before you can trust any of these models, they
    must be verified.
  • Use past and current climate as a test.
  • If your model can simulate the past and present
    climate, then there is a reasonable chance that
    the model can reasonably model future climate.

29
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31
Most of the observed warming in the past 50 years
is attributable to human activities
32
Future Predictions Temperature
33
Notes on Temperature Projections
  • Curves represent warming produced for seven
    scenarios by a model with average sensitivity.
  • Each bar on right represent range of warming
    produced

34
Notes on Temperature Projections
  • Projected Warming 2000 2100 ranges from 1.4C
    to 5.8C.
  • Curves represent warming produced for seven
    scenarios by a model with average sensitivity.
  • Each bar on right represent range of warming
    produced
  • by models of differing sensitivies for a specific
    scenario.

35

Annual mean temperature change, 2071 to 2100
relative to 1990 Global Average in 2085 3.1oC
36
Land areas are projected to warm more than the
oceans with the greatest warming at high latitudes
Annual mean temperature change, 2071 to 2100
relative to 1990 Global Average in 2085 3.1oC
37
Annual mean precipitation change 2071 to 2100
Relative to 1990
38
Some areas are projected to become wetter, others
drier with an overall increase projected
Annual mean precipitation change 2071 to 2100
Relative to 1990
39
Sea Level
40
Sea Level Rise
Annual mean precipitation change 2071 to 2100
Relative to 1990
41
Model Sensitivity
  • Models (like the atmosphere) are sensitive
    systems.
  • They can respond differently to the same
    radiative forcing, e.g., a doubling of CO2
  • This means that different models give different
    answers to the same problem
  • Thus, we use a range of models to determine the
    range of possible future scenarios.

42
Model Sensitivity
  • Models (like the atmosphere) are sensitive
    systems.
  • They can respond differently to the same
    radiative forcing, e.g., a doubling of CO2
  • Thus, we use a range of models to determine the
    range of possible future scenarios.

43
Main climate changes

44
Main climate changes
  • Higher temperatures - especially on land
  • Arctic shows the largest warming
  • Hydrological cycle more intense
  • More rain overall
  • Sea levels rise
  • Why?
  • Changes at regional level
  • More intense weather (extremes)
  • Floods, droughts etc.

45
Questions
  • Based on the A1F1 scenario, what is the predicted
    CO2 concentration, temperature change and sea
    level change in 2100?
  • Based on the A1T scenario, what is the predicted
    CO2 concentration, temperature change and sea
    level change in 2100?

46
UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE
CHANGERio de Janeiro June 1992ARTICLE 2
OBJECTIVE
  • The ultimate objective of this Convention .... is
    to achieve, . stabilization of greenhouse gas
    concentrations in the atmosphere at a level that
    would prevent dangerous anthropogenic
    interference with the climate system.
  • Such a level should be achieved within a
    time-frame sufficient
  • to allow ecosystems to adapt naturally
    to climate change.
  • to ensure that food production is not
    threatened, and
  • to enable economic development to
    proceed in a sustainable manner.

47
Gateway to IPCC data
  • IPCC Data Distribution Centre
  • http//ipcc-ddc.cru.uea.ac.uk/

48
 
Mean Temperature (2050) relative to
1961-90 A1F A2 B2
49
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50
Impact of climate change predictions
  • What affect will these predictions have on the
    earth?
  • Environment
  • Business
  • Society
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