Title: Status of research SB-20 21 June 2004
1Status of researchSB-20 21 June 2004
Xiaosu Dai, Michel den Elzen, Niklas Höhne
2Overview
- Introduction to the MATCH processNiklas Höhne /
Xiaosu Dai - Introduction of first joint paperMichel den
Elzen / Niklas Höhne
Modelling and assessment of contributions to
climate change
3SBSTA 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
4MATCH 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
5MATCH 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
6MATCH 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
7MATCH 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
8MATCH-info.net
- Background
- Organization
- Papers
- Expert meetings
- File exchange
- Discussion forum
Modelling and assessment of contributions to
climate change
9Participation at last meeting
Modelling and assessment of contributions to
climate change
10Individual 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
11Anticipated 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 - Â
Modelling and assessment of contributions to
climate change
12Schedule
- 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
13Remarks
- 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
142. First joint paper
- Analysing countries contribution to climate
change Scientific choices and methodological
issues
Modelling and assessment of contributions to
climate change
15Main 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
16Policy 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
17Scientific 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
18Models used
Modelling and assessment of contributions to
climate change
19Model show similar outcomes
Source UNFCCC
Modelling and assessment of contributions to
climate change
20Policy choices
- 1. Indicator
- 2. Timeframes
- 3. Attribution method
- 4. Mixture of greenhouse gases
Modelling and assessment of contributions to
climate change
211. Indicators
Source Ecofys-ACCC
Modelling and assessment of contributions to
climate change
221. 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
231. Indicators
Preliminary
Relative contributions using different indicators
Modelling and assessment of contributions to
climate change
241. 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
252. 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
26Start-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
27End-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
28Evaluation-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
293. 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
303. 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
313. 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
323. 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
334. 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
344. 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
35Scientific uncertainties
- Choice of the dataset on historical emissions
- Choice of the representation of the climate
system carbon cycle and climate model and
feedbacks
Modelling and assessment of contributions to
climate change
361. 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
372. 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
38Overall 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
39Backup slides
40Policy choices
Modelling and assessment of contributions to
climate change
41Models are calibrated
Modelling and assessment of contributions to
climate change
42(No Transcript)
43Table 3
44Contribution to radiative forcing
Modelling and assessment of contributions to
climate change
45Aerosol 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
46Policy 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