Learning about climate change

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Learning about climate change

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Title: Learning about climate change


1
Learning about climate change
Integrated assessments
  • Thomas E. Downing
  • Stockholm Environment Institute
  • Oxford

2
  • Overview of issues (20 minutes)
  • Cognitive mapping of an integrated assessment
    issue (30 minutes)
  • Dangers in IA (20 minutes)
  • Conditions of application (10 minutes)
  • Discussion

3
Introduction
  • What have we learned from the use of Integrated
    Assessment Models in formulating responses to
    climate change?
  • Contributor to the first regional integrated
    assessment model of the economic impact of
    climate change

4
Dangers in climate policy
5
  • Earth System Interactions
  • GHG emissions
  • Climate
  • Terrestrial ecosystems
  • Source MIT global change programme

6
Understanding Earth
  • Penguin trials test the waters and see if
    anything is happening
  • Lilliput principle experimental microcosms such
    as Biosphere II
  • Eagle eye observing Earths panorama from space
  • Minah digital mimicry through simulation
    modelling

After Schellnhuber, 1999, Nature
7
Questions...
  • What is an IAM?
  • What should IAMs do?
  • What needs to be done to improve IAMs?

8
What is IA?
  • IA is a process of stakeholder engagement that
    includes insight from models (IAMs)
  • Foundations in acid rain, trade and world
    environment models
  • A means to gain insight into complex
    environmental, economic and social interactions

9
What is an IAM?
10
Policy issues
  • What is the advantage of trading greenhouse gas
    emissions?
  • Climate-economic integration, regional trade
  • How much CO2 could terrestrial ecosystems absorb?
  • Climate-land use integration, geographic
    resolution
  • What should be the priorities for adaptation?
  • Climate-impacts integration, local-global
    hierarchy, autonomous adaptation
  • Is technology the answer?
  • Climate-society integration, innovation,
    geographic diffusion, market transformation

11
Integration...
How many scales?
Who participates?
Which sectors?
12
IAMs
Optimising
Simulation
CETA
DICE
SLICE
Page
ICAM
Yohe
DIAM
PRICE
PEF
FUND
Rice
AS/ExM
Merge3
SGM
HCRA
Targets
MIT-EPPA
EDM3
Green
ABARE
IMAGE
AIM
Miasma
G-Cubed
OF
Geographical
Trade
13
Three examples
  • Economic policy to abate greenhouse gas emissions
  • Land use change and terrestrial carbon cycles
  • Equity in climate change impacts

14
Economic policy
  • What are the impacts of GHG abatement policy
  • Trade
  • Energy prices
  • Capital costs and investment
  • Transnational corporations
  • Secondary effects
  • Two studies
  • Oxford Institute for Energy Studies
  • G-cubed

15
Fossil Fuels in a Changing Climate
Impacts of the Kyoto Protocol and Developing
Country Participation
Ulrich Bartsch and Benito Müller Published by
Oxford University Press, 2000 http//associnst.ox
.ac.uk/energy
16
The Oxford Model for Climate Policy Analysis
(CLIMOX)
17
The CLIMOX Production Structure
18
'Sizing the Cake' Global CO2 Energy Emissions
(Gt CO2)
OIES BaU
  • 550ppm CO2 concentrations acceptable

19
Distributing the Cake The Problem
Grandfathering
Per Capita
20
0.25
0.75
21
Energy Emissions Reductions and Assigned
Amounts in 2020, of BaU
22
GC 2020 Emission Mitigation Costs/Benefits
60
40
20
0
1995 bn
-20
-40
-60
-80
USA
Rest of
Japan
EU
EIT
MENA
Latin
ANI
China
RoW
India
OECD
America
23
Real Income Index
24
Effect of international trading on permit
prices,2010, /MTCSource G-cubed Model, W.
McKibben
25
Land use
  • Shifts in biomes
  • Carbon storage and sequestration
  • Methane, nitrous oxides
  • Agroecological potential
  • Species and biodiversity
  • Water
  • Health
  • Secondary effects

26
Scenarios of land use change
Source IMAGE2 Model
27
Equity in impacts
Notes 1 PRTP discounting. Source ExternE
Project.
28
Cognitive issue mapping
  • Select an issue
  • Carbon sequestration in managed ecosystems
  • Damage valuation of climate change impacts
  • Others
  • Brainstorming of elements
  • Clustering
  • Mapping relationships
  • Ideas for data, models and analysis

29
What should IAMs do?
Economic growth
Sustainable environments
Social equity
30
What should IAMs do?
31
Dangers in IAM
  • IA wars My clients appreciate my model
  • Wrong question Ask not what you need but what
    I can do
  • Anchoring Dont trust the numbers, IAMs only
    provide insight
  • Polarisation Criticise my wife but dont mess
    with my model
  • Complexity Read the fine detail
  • Restricted discourse Talk the talk, walk the
    walk
  • Symbolic structuration Any model that mediates
    demand through prices means that you have to
    raise prices.

32
What needs to be done?
  • Procedures for evaluating IAMs
  • Model representation what is reality?
  • Evaluating changing institutions how will future
    societies evolve to cope with global change?
  • Users and uses how to foster insight?

33
Conditions of application
  • Model representation
  • Natural systems
  • Resolution and scaling
  • Validation
  • Decision agents
  • Agent motivation
  • For example
  • Linking resource management decisions to
    macro-economy and feedback from the environment

34
Agents in IAM
35
Conditions of application
  • Changing institutions
  • Societal structure
  • Cultural norms
  • For example
  • Technological innovation and diffusion
  • Market transformation
  • Sustainable consumption

36
A relational strategy...
37
Conditions of application
  • User/policy context
  • Stakeholder participation
  • Hypothesis testing
  • Verification
  • Transparency
  • Documentation
  • New processes of science-policy formulation?

38
Learning about climate change
  • Integrated Assessments
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