『Abstract
International policy makers and climate researchers use greenhouse
gas emissions inventory estimates in a variety of ways. Because
of the varied uses of the inventory data, as well as the high
uncertainty surrounding some of the source category estimates,
considerable effort has been devoted to understanding the causes
and magnitude of uncertainty in national emissions inventories.
In this paper, we focus on two aspects of the rationale for quantifying
uncertainty: (1) the possible uses of the quantified uncertainty
estimates for policy (e.g., gas a means of adjusting inventories
used to determine compliance with international commitments);
and (2) the direct benefits of the process of investigating uncertainties
in terms of improving inventory quality. We find that there are
particular characteristics that an inventory uncertainty estimate
should have if it is to be used for policy purposes: (1) it should
be comparable across countries; (2) it should be relatively objective,
or at least subject to review and verification; (3) it should
not be subject to gaming by countries acting in their own self-interest;
(4) it should be administratively feasible to estimate and use;
(5) the quality of the uncertainty estimate should be high enough
to warrant the additional compliance costs that its use in an
adjustment factor may impose on countries; and (6) it should attempt
to address all types of inventory uncertainty. Currently, inventory
uncertainty estimates for national greenhouse gas inventories
do not have these characteristics. For example, the information
used to develop quantitative uncertainty estimates for national
inventories is often based on expert judgments, which are, by
definition, subjective rather than objective, and therefore difficult
to review and compare. further, the practical design of a potential
factor to adjust inventory estimates using uncertainty estimates
would require policy makers to (1) identify clear environmental
goals; (2) define these goals precisely in terms of relationships
among important variables (such as emissions estimate, commitment
level, or statistical confidence); and (3) develop a quantifiable
adjustment mechanism that reflects these environmental goals.
We recommend that countries implement an investigation-focused
(i.e., qualitative) uncertainty analysis that will (1) provide
the type of information necessary to develop more substantive,
and potentially useful, quantitative uncertainty estimates-regardless
of whether those quantitative estimates are used for policy purposes;
and (2) provide information needed to understand the likely causes
of uncertainty in inventory data and thereby point to ways to
improve inventory quality (i.e., accuracy, transparency, completeness,
and consistency).
Keywords: adjustment; data quality; emissions; greenhouse gas;
inventory; Kyoto Protocol; trading ratio; uncertainty; uncertainty
analysis; UNFCCC』
1. Introduction
2. Using uncertainty estimates to adjust inventories
2.1. Two possible adjustment mechanisms
2.2. Characteristics of the adjustment factor and implications
for the uncertainty analysis
3. Adjustments to emissions trading ratios based on the uncertainty
of emissions
3.1. Trading ratios: Upper bound emissions are unchanged
3.2. Trading ratios: Probabilities of exceeding emissions commitments
are unchanged
3.3. Characteristics of the trading ratio and uncertainty analysis
3.3.1. Fulfilling environmental goals: The impacts of trading
on environmental quality
3.3.2. Administrative complexity
3.3.3. Implications for trading ratios in practice
4. Uncertainty analysis as a tool for inventory improvement
5. Conclusions
Acknowledgement
References