Download Accounting for Climate Change: Uncertainty in Greenhouse Gas by Daniel Lieberman, Matthias Jonas, Zbigniew Nahorski, Sten PDF

By Daniel Lieberman, Matthias Jonas, Zbigniew Nahorski, Sten Nilsson

ISBN-10: 1402059299

ISBN-13: 9781402059292

ISBN-10: 1402059302

ISBN-13: 9781402059308

The overview of greenhouse gases (GHGs) emitted to and faraway from the ambience is excessive on either political and medical agendas the world over. As expanding foreign situation and cooperation target at policy-oriented options to the weather switch challenge, a number of concerns have all started to come up relating to verification and compliance lower than either proposed and legislated schemes intended to lessen the human-induced international weather effect. The ways to addressing uncertainty mentioned during this quantity try to increase nationwide inventories or to supply a foundation for the standardization of stock estimates to let comparability of emissions and emission alterations throughout nations. a number of authors use distinctive uncertainty analyses to implement the present constitution of the emissions buying and selling method whereas others try and internalize excessive degrees of uncertainty by way of tailoring the emissions buying and selling industry principles. In all methods, uncertainty research is considered a key section of nationwide GHG stock analyses.

Topics of curiosity include:

-national greenhouse gasoline emission inventories

-bottom-up as opposed to top-down emission analyses

-signal detection and research techniques

-verification and compliance issues

-role of uncertainty in emissions buying and selling schemes

-compliance and emissions buying and selling lower than the Kyoto Protocol

Assessment of uncertainty may help enhance inventories and deal with hazard. via spotting the significance of choosing and quantifying uncertainties, nice strides may be made within the strategy of Accounting for weather Change.

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Additional resources for Accounting for Climate Change: Uncertainty in Greenhouse Gas Inventories — Verification, Compliance, and Trading

Example text

Winiwarter, W. (2004). Medium-term multi-gas mitigation strategies. Report to IIASA side event at the Conference of Parties (COP10), held on 8 December 2004 in Buenos Aires, Argentina. , & Raes, F. ) (2005). N2O emissions from agriculture. Report EUR 21675 EN of the European Communities, Luxembourg. , & Savolainen, I. (2007). Comparison of uncertainties in different emissions trading schemes (in press). , & Savolainen, I. (2004). Uncertainties in the Finnish greenhouse gas emission inventory.

3) How confident do we want to be in our result? If we assume that we know the magnitude of uncertainty surrounding the estimated emission reductions, this definition suggests that estimated emission reductions would be adjusted downward to take into account the uncertainty of the estimate. However, the result can be compared more easily with the results in Table 1 if we ask how the emissions estimate for the commitment period would have to be adjusted upward to ensure that, given a reasonable level of confidence, actual emission reductions do not fall below estimated reductions by more than a specified amount (which could be zero).

32] Water Air Soil Pollut: Focus (2007) 7:451–474 453 Savolainen (2007) look at the uncertainties associated with different emissions trading schemes due to the inclusion or exclusion of particular source (or sink) categories with varying assumed levels of uncertainty. , remote sensing) will be able to reduce uncertainties in a comprehensive flux emissions accounting approach. All of these papers assume that unbiased and credible quantitative uncertainty estimates are available, or will be available in the future.

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Accounting for Climate Change: Uncertainty in Greenhouse Gas Inventories — Verification, Compliance, and Trading by Daniel Lieberman, Matthias Jonas, Zbigniew Nahorski, Sten Nilsson


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