Get Accounting for Climate Change: Uncertainty in Greenhouse Gas PDF

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

ISBN-10: 1402059299

ISBN-13: 9781402059292

ISBN-10: 1402059302

ISBN-13: 9781402059308

The review 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 challenge and cooperation objective at policy-oriented ideas to the weather switch challenge, numerous matters have started to come up concerning verification and compliance lower than either proposed and legislated schemes intended to lessen the human-induced international weather influence. The techniques to addressing uncertainty mentioned during this quantity try to enhance nationwide inventories or to supply a foundation for the standardization of stock estimates to allow comparability of emissions and emission adjustments throughout nations. a number of authors use certain uncertainty analyses to implement the present constitution of the emissions buying and selling procedure whereas others try and internalize excessive degrees of uncertainty via tailoring the emissions buying and selling industry ideas. In all ways, uncertainty research is considered a key element 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 less than the Kyoto Protocol

Assessment of uncertainty might help enhance inventories and deal with possibility. via spotting the significance of settling on and quantifying uncertainties, nice strides might be made within the means of Accounting for weather Change.

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

Example text

2005). The extension of the RAINS model to greenhouse gases: N2O. IIASA Interim Report IR-05-055, Laxenburg, Austria: International Institute for Applied Systems Analysis. , & Rypdal, K. (2001). Assessing the uncertainty associated with national greenhouse gas emission inventories: A case study for Austria. Atmospheric Environment, 35, 5425–5440. EEA (2004). Joint EMEP/CORINAIR atmospheric emission inventory guidebook (3rd edition, September 2004 update). Technical Report no. 30, Copenhagen, Denmark: European Environment Agency.

Suppose we start by defining as our goal that we want to be confident that, when countries report emissions inventories that nominally are in agreement with their commitments under the Protocol, the countries truly are, if not in compliance, at least within a given tolerance of complying with their commitments. Thus, we might consider an adjustment based on uncertainty as described in Definition 1. 9 For example, if emissions estimates are 50% uncertain and we want to be 90% certain we have not exceeded our emission target by more than 10%, we would adjust the emissions inventory estimate upward by 20%.

Within this system, adherence to accounting rules rather than attempting to reflect a real material flow situation must be the first priority. The intercountry comparison (“fair burden sharing”) – not the assessment of actual emissions – must be the ultimate goal. Such an accounting system needs to be based on scientific knowledge and could derive from existing information (Houghton et al. 1997), but the choice of parameters or approaches by country experts should be kept to the minimum. Once fixed, the system should be kept constant for the commitment period.

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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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