Reporting on Projections and the Total Effect of Policies and Measures PowerPoint PPT Presentation

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Title: Reporting on Projections and the Total Effect of Policies and Measures


1
Reporting on Projections and the Total Effect of
Policies and Measures
  • Introductory presentation by the UNFCCC
    secretariat
  • Workshop on the preparation of fourth national
    communications from Annex I Parties
  • Dublin, 30 September 1 October 2004

2
Overview
  • Introduction
  • UNFCCC reporting guidelines, main provisions
    relevant to reporting on projections and the
    total effect of policies and measures
  • CS report of NC3s, some general issues and
    problems identified
  • IDRs of NC3s, examples of good practice in
    reporting on projections and the overall effect
    of policies and measures
  • Some points for discussion

3
Introduction
  • Article 4.2(b) Annex I Parties shall report
    pursuant to Article 12 detailed information on
    their PaMs adopted under Article 4.2 (a) as well
    as on their resulting projected GHG emissions

4
UNFCCC Reporting Guidelines (1)
  • Purpose
  • to give an indication of future trends in GHG
    emissions and removals, based on the implemented
    and adopted PaMs, and to give an indication of
    the path of emissions and removals without such
    PaMs
  • Scenarios Parties shall report with measures
    (WM) scenarios and may report with additional
    measures (WAM) and without measures (WOM)
    scenarios
  • Consistency between projections and inventory
    data (WM and WAM starting point last year of
    inventory data, 2004 WOM 1990 or 1990)
  • Coverage
  • Reporting by sector, consistent with sectors in
    the PaMs section (energy, transport, industry,
    agriculture, forestry and waste management)
  • All six gases, also precursors and SO2 by sector
    and totals using GWP
  • Separate reporting on projections on
    international bunker fuel
  • Timing 2005, 2010, 2015 and 2020 sample
    diagram fig.1 of the guidelines

5
UNFCCC Reporting Guidelines (2)
6
UNFCCC Reporting Guidelines (3)
  • Assessment of aggregated effect of PaMs, or why a
    without measures scenario is important
  • Effects of individual PaMs are reported in the
    PAMs section, total effects are reported in
    projections section (link with PaMs)
  • Parties shall report on total effect of PaMs
  • What types of effects Ex-post (for 1995 and
    2000) and ex-ante (for 2005, 2010, 2015 and 2020)
    effects
  • How to report (estimate) total effect
  • Total effect as a difference between with
    measures and without measures scenario
  • Total effects as an aggregation of individual
    effect of each significant PaMs (link with PaMs)

7
UNFCCC Reporting Guidelines (4)
  • Methodology
  • Description of the model to allow the reader a
    basic understanding of the approach, and its
    attributes
  • Gases and sectors covered
  • Type of model, its original purpose and any
    modifications
  • Strengths and weaknesses of the model
  • Accounting for overlap and synergies between PaMs
  • Key assumptions and differences in assumptions
    between the current NC and the previous NC
  • Sensitivity of projections to key assumptions
    (summary Table 2 of the guidelines)

8
Findings and Problems Encountered (1)
  • Findings
  • Improved reporting (new guidelines and enhanced
    modeling capacity and human resources)
  • More countries provided more than one scenario,
    but few provided WOM scenario (WM-30, WAM-21,
    WOM-7)
  • Good coverage of projections by gas, still not
    all countries reported projections on fluorinated
    gases
  • Good coverage of projections by sector, but still
    not all countries provided projections for
    transport and forestry
  • Projections on international bunker fuels not
    always provided

9
Findings and Problems Encountered (2)
  • Problems encountered
  • Several countries provided only one scenario (
    10) and in several cases scenario definition did
    not follow the UNFCCC guidelines ( 6)
  • Reporting of information by sector and by gas was
    not always transparent and consistent within
    individual NCs (and not easily comparable across
    different NCs)
  • Some inconsistencies between projections and
    emission inventories and between projections and
    PaMs (not the same set of PaMs or total effects
    are different)
  • Limited information on the type of models used,
    its attributes and sensitivity analysis
  • Description of key assumptions not always
    transparent, not always clear what triggered
    changes in key assumptions compared to previous
    NCs
  • Limited analysis of results and impacts of key
    drivers

10
Examples of Good Practice
  • Reporting on all 3 scenarios (BUL, CAN, FRA, ITA,
    JPN, SVK)
  • Consistency between reporting by gas and sector
    and in line with IPCC categories Denmark
  • Concise, but clear description of the model and
    key assumptions Australia, Bulgaria, Canada, the
    Netherlands
  • Interpretation of the results and impacts from
    key assumptions/drivers Finland (changes in GDP,
    energy efficiency improvement, impacts from new
    technologies), Australia (attribution of the
    overall effect from PaMs to different sectors)
  • Clearly explained changes between projections
    reported in the NC2 and NC3 the U.K.
  • Sensitivity analysis Australia, Canada, New
    Zealand, Sweden, United States
  • Uncertainty analysis using the Monte Carlo
    method the Netherlands

11
Proposal from the Projections Workshop
12
Starting Points for the Discussion
  • What is the role of different scenarios (WM, WOM
    and WAM) and why it is important to report on
    more than one scenario following the guidelines
    definitions on these scenarios?
  • How to ensure transparency and consistency in
    reporting of information by sector and by gas
    (table from the projections workshop)?
  • How to ensure consistency in reporting on
    projections with inventories and policies and
    measures sections of the national communication
    (IPCC categories, table from projections
    workshop, total and individual effect from PaMs)?
  • How to provide clear, but concise description of
    models and key assumptions (explanation on the
    changes in key assumptions)?
  • How to improve the reporting on the analysis of
    results from projections, e.g. the impact from
    key assumptions and drivers, and policies and
    measures?
  • Sensitivity analysis is it just a reporting
    requirement or a useful tool to facilitate
    transparency in assessment and reporting in the
    NCs, if such analysis is used, how to report on
    it?
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