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Status of research SB-20 21 June 2004

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Title: Status of research SB-20 21 June 2004


1
Status of researchSB-20 21 June 2004
Xiaosu Dai, Michel den Elzen, Niklas Höhne
2
Overview
  1. Introduction to the MATCH processNiklas Höhne /
    Xiaosu Dai
  2. Introduction of first joint paperMichel den
    Elzen / Niklas Höhne

Modelling and assessment of contributions to
climate change
3
SBSTA 17 (Oct 2002)
  • Work should be continued by the scientific
    community, in particular to improve the
    robustness of the preliminary results and to
    explore the uncertainty and sensitivity
  • Be of a standard consistent with the practices of
    peer-reviewed published science.
  • The process should be inclusive, open and
    transparent.
  • Capacity building strongly encouraged Parties
    and institutions to facilitate capacity-building
    in developing countries, including by hosting
    scientists from developing countries
  • Invited the scientific community, including IGBP,
    WCRP, IHDP and IPCC to provide information on how
    they could contribute
  • Encouraged scientists to undertake further work,
    to make the results of their work publicly
    available and to report progress at SBSTA 20,
    June 2004 (side event).
  • SBSTA decided to review the progress at its 23rd
    session (Nov 2005).

Modelling and assessment of contributions to
climate change
4
MATCH process
UNFCCC process
  • Two expert meetings
  • Coordinated modelling exercise ACCC
  • Ad-hoc group
  • Initiated by Brazil and UK
  • Two expert meetings so far

Modelling and assessment of contributions to
climate change
5
MATCH process
  • Objective
  • Assess methods for calculating the contribution
    of different emission sources (e.g. regional,
    national or sectoral) to climate change and its
    impacts, taking into account uncertainties, and
    the sensitivity of the calculations to the use of
    different methods, models and methodological
    choices.
  • Outputs
  • Provide clear guidance on the implications of the
    use of the different scientific methods, models,
    and methodological choices
  • Where scientific arguments allow, recommend one
    method/model/choice or several possible
    methods/models/choices for each step of the
    calculation of contributions to climate change,
    taking into account scientific robustness,
    practicality and data availability
  • Organization of expert meetings, workshops and a
    coordinated modelling exercise
  • Prepare papers to be published in peer reviewed
    scientific journals

Modelling and assessment of contributions to
climate change
6
MATCH process
  • Scientific Coordination Committee

Xiaosu Dai National Climate Center, China
Michel den Elzen RIVM, Netherlands
Jan Fuglestvedt CICERO, Center for International Climate and Environmental Research - Oslo, Norway
Jason Lowe Met Office, Hadley Centre for Climate Prediction and Research, UK
Joyce Penner University of Michigan, USA
Michael Prather (Chair) University of California at Irvine, USA
Cathy Trudinger CSIRO Atmospheric Research, Australia
Murari Lal IIT, India
José Domingos Gonzalez Miguez Interministerial Committee on Global Climate Change, Brazil
Niklas Höhne (Secretary) ECOFYS, Germany
Modelling and assessment of contributions to
climate change
7
MATCH process
  • Developing country participation
  • Fund for travel costs of developing country
    experts sponsored by governments of Germany,
    Norway, UK (currently funds for further 15
    developing country expert trips)
  • Support unit
  • Ecofys under contract to UK Defra
  • Information
  • http//www.match-info.net

Modelling and assessment of contributions to
climate change
8
MATCH-info.net
  • Background
  • Organization
  • Papers
  • Expert meetings
  • File exchange
  • Discussion forum

Modelling and assessment of contributions to
climate change
9
Participation at last meeting
Modelling and assessment of contributions to
climate change
10
Individual scientific papers
  • Pinguelli Kahn (2001) The present, past, and
    future contributions to global warming of CO2
    emissions from fuels, Climatic Change
  • den Elzen and Schaeffer (2002) Responsibility
    for past and future global warming Uncertainties
    in attributing anthropogenic climate change,
    Climatic Change
  • Trudinger Enting (2004) Comparison of
    formalisms for attributing responsibility for
    climate change Non-linearities in the Brazilian
    Proposal approach, Climatic Change
  • Andronova and Schlesinger (2004) Importance of
    sulfate aerosol in evaluating the relative
    contributions of regional emissions to the
    historical global temperature change attribution
    methods, Mitigation and Adaptation Strategies for
    Global Change
  • den Elzen, Schaeffer and Lucas (2004)
    Differentiating future commitments on the basis
    of countries' relative historical responsibility
    for climate change uncertainties in the
    'Brazilian Proposal' in the context of a policy
    implementation, Climatic Change
  • Pinguelli, Kahn, Muylaert and Pires de Campos
    (2004) Comments on the Brazilian Proposal and
    contributions to global temperature increase with
    different climate responsesCO2 emissions due to
    fossil fuels, CO2 emissions due to land use
    change, Energy Policy
  • Höhne and Harnisch (2004) Calculating historical
    contributions to climate change discussing the
    Brazilian Proposal, Climatic Change

Modelling and assessment of contributions to
climate change
11
Anticipated papers
  • Paper 1
  • Analysing countries contribution to climate
    change Scientific choices and methodological
    issues status of the work and first results 
  • Paper 2
  • Demonstration of credible alternative scientific
    choices and their effect on the emissions,
    concentration and climate change 
  • Paper 3
  • Formal assessment of uncertainties and clarify
    parameter space
  • Paper 4
  • Additional attribution calculations discussed in
    paper 1 by including the outputs from paper 2
    and paper 3
  •  

Modelling and assessment of contributions to
climate change
12
Schedule
  • Meeting September 2003
  • Formation of the ad-hoc group MATCH
  • Agreement on terms of reference, scientific
    coordination committee, research questions
  • Meeting May 2004
  • Discussion of draft paper 1
  • Discussion of development of further papers

June 2004 SB 20 side event
  • Meeting December 2004 (tentatively 2/3 December
    in Brazil)
  • Discussion of draft paper 2
  • Discussion of development of further papers

Meeting May 2005 Discussion of draft paper 3
Meeting September 2005 Discussion of draft paper
4
SB 23 November 2005 Presentation of results
Modelling and assessment of contributions to
climate change
13
Remarks
  • Challenges
  • New research
  • Resource requirements for contributing experts
  • Links to other organizations and programmes
  • Ambitious schedule
  • Strong points of MATCH
  • Participation of leading experts on the topic
  • Joint research effort
  • Results are peer-reviewed publications

Modelling and assessment of contributions to
climate change
14
2. First joint paper
  • Analysing countries contribution to climate
    change Scientific choices and methodological
    issues

Modelling and assessment of contributions to
climate change
15
Main objective of paper 1
  • to summarise the studies and results so far (i.e.
    the contributions to the UNFCCC initiated
    process)
  • to present new attribution calculations with
    non-linear carbon cycle and climate models using
    non-linear attribution methodologies and updated
    historical emissions datasets
  • to investigate the effect of a range of
    scientific, methodological and policy-related
    choices on the attribution, but not the full
    range by all uncertainties.

Modelling and assessment of contributions to
climate change
16
Policy choices
  • Policy choices refer to parameters of which the
    values can not be based on objective scientific
    arguments alone. For example, 100 year time
    horizon of GWPs. The choices have to be made
    largely within the policy context.
  • Policy choices analysed here
  • Indicator
  • Timeframes
  • Emission scenarios
  • Mixture of Greenhouse gases
  • Attribution method

Modelling and assessment of contributions to
climate change
17
Scientific uncertainties
  • Choice of the dataset on historical emissions
  • Choice of the representation of the climate
    system (different models)

Modelling and assessment of contributions to
climate change
18
Models used
Modelling and assessment of contributions to
climate change
19
Model show similar outcomes
Source UNFCCC
Modelling and assessment of contributions to
climate change
20
Policy choices
  • 1. Indicator
  • 2. Timeframes
  • 3. Attribution method
  • 4. Mixture of greenhouse gases

Modelling and assessment of contributions to
climate change
21
1. Indicators
Source Ecofys-ACCC
Modelling and assessment of contributions to
climate change
22
1. Indicators
Also discounting most recent emissions Can
be made forward looking, when evaluating at a
date after attributed emissions end. In such case
also a time horizon is required
Modelling and assessment of contributions to
climate change
23
1. Indicators
Preliminary
Relative contributions using different indicators
Modelling and assessment of contributions to
climate change
24
1. Indicators
  • Conclusions
  • Two main factors influence results
  • Whether a source emitted early versus late
  • The share of emissions of short-lived /
    long-lived gases.
  • Choosing the right indicator is ultimately a
    policy choice that also depends on the purpose of
    use of the results.
  • Temperate increase use evaluation date after the
    attribution end date
  • Backward discounting and forward looking
    weighted concentrations or integrated
    temperature
  • Not backward discounting GWP-weighted
    cumulative emissions could be an option, which is
    simple and approximately represents the
    integrated impact on temperature.

Modelling and assessment of contributions to
climate change
25
2. Timeframe
  • Start date emissions 1890, 1950 and 1990
  • End date emissions 1990, 2000, 2050 and 2100
  • Evaluation date of attribution 2000, 2050, 2100,
    2500

Modelling and assessment of contributions to
climate change
26
Start-date
Source RIVM-ACCC
  • Choosing a shorter time horizon (e.g. 1950 or
    1990 instead of 1890) reduces the contributions
    of OECD90 countries ('early emitters') to
    temperature increase.

Modelling and assessment of contributions to
climate change
27
End-date
Source RIVM-ACCC
  • A late end-date increases non-Annex-I
    contributions, because it gives more weight to
    their larger future emissions.
  • Impact of emissions scenarios (error bars) can be
    large

Modelling and assessment of contributions to
climate change
28
Evaluation-date
Source RIVM-ACCC
  • A later evaluation-date raises OECD contributions
    due to (1) their large share in historical CO2
    emissions (long residence time) (2) and their
    small share of methane emissions (short residence
    time)

Modelling and assessment of contributions to
climate change
29
3. Attribution methods
  • Normalised marginal method - Attributes
    responsibility using total sensitivities
    determined "at the margin".
  • Residual (all-but-one) method - Attributes
    responsibility by leaving out the emissions of
    each region in turn.
  • Time-sliced - determines the effect of emissions
    from each time as if there were no subsequent
    emissions.

Modelling and assessment of contributions to
climate change
30
3. Attribution methods
  • The Residual method, although simple to implement
    and explain, can be rejected on scientific
    grounds (not additive).
  • The Normalised marginal and Time-sliced methods
    are harder to implement and explain. These
    methods differ in how they treat early vs. late
    emissions.

Modelling and assessment of contributions to
climate change
31
3. Attribution methods
Source CSIRO-SCM
  • The differences between methods are fairly small
    compared to the effects of many of the other
    choices already considered.

Modelling and assessment of contributions to
climate change
32
3. Attribution methods
  • Differences between methods are greater
    for later evaluation date (2100)
  • In general, the results of the different methods
    vary most for regions with emissions that differ
    most from the average in terms of early versus
    late emissions, i.e. India and EU.

Source CSIRO-SCM
Source CSIRO-SCM
Modelling and assessment of contributions to
climate change
33
4. Greenhouse gas mixture
  • Which gases are attributed to the regions?
  • Fossil CO2
  • All anthropogenic CO2
  • CO2, CH4, N2O
  • Kyoto basket (CO2, CH4, N2O, HFCs, PFCs, SF6)
  • Kyoto basket more O3 precursors (NOx, CO and
    VOC)

Modelling and assessment of contributions to
climate change
34
4. Greenhouse gas mixture
Source CICERO-SCM
  • Two main effects i) Going from fossil fuel CO2
    emissions only to total anthropogenic CO2
    emissions, ii) Inclusion of CH4 and N2O.
  • The effect is less pronounced on longer time
    scales (except for the shift from fossil CO2 to
    total CO2).

Modelling and assessment of contributions to
climate change
35
Scientific uncertainties
  1. Choice of the dataset on historical emissions
  2. Choice of the representation of the climate
    system carbon cycle and climate model and
    feedbacks

Modelling and assessment of contributions to
climate change
36
1. Historical datasets
Source RIVM-ACCC
  • Fossil CO2 emissions small differences in
    relative attribution
  • CO2 emissions from land-use changes differences
    in estimates leading to large differences. Data
    sets need to be compared and improved.
  • CH4 and N2O Only one dataset is available (EDGAR)

Modelling and assessment of contributions to
climate change
37
2. Other scientific uncertainties
  • The influence of other climate model parameters
    (e.g. IRFs), based on simulation experiments with
    nine GCMs and climate models is limited
  • Including additional non-linearities in
    calculations of methane-concentrations (IPCC-TAR
    atmospheric chemistry model ) has a negligible
    effect on the relative contributions
  • ...

Modelling and assessment of contributions to
climate change
38
Overall conclusions
  • First summary of the work undertaken to date.
  • Not a full assessment of the uncertainty range,
    but an evaluation of the influence of different
    policy-related and scientific choices.
  • The influence of scientific choices is notable.
    Therefore research is ongoing (see papers 2 and
    3)
  • However, the current work suggests, that the
    impact of policy choices, such as time horizon of
    emissions, climate change indicator and
    greenhouse-gas mix is larger than the impact of
    scientific uncertainties
  • Impact of uncertainties on the relative
    contributions is smaller than impact of
    uncertainties on the absolute changes in
    temperature.
  • Research needs Historical emission datasets

Modelling and assessment of contributions to
climate change
39
Backup slides
40
Policy choices
Modelling and assessment of contributions to
climate change
41
Models are calibrated
Modelling and assessment of contributions to
climate change
42
(No Transcript)
43
Table 3
44
Contribution to radiative forcing
Modelling and assessment of contributions to
climate change
45
Aerosol forcing
Source CICERO-SCM
  • Inclusion of SO2 emissions reduces the
    contributions from ASIA and REF, but the effect
    disappear when there is a gap between attribution
    end date and evaluation date.
  • Again effect is less less pronounced on longer
    time scales

Modelling and assessment of contributions to
climate change
46
Policy choices vs. scientific choices
Source RIVM-ACCC
  • Policy choices (start-date, indicators) are more
    important than scientific uncertainties
    (attribution method, climate model)

Modelling and assessment of contributions to
climate change
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