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Dealing with Uncertainty in GHG Inventories: How to Go About It?

In: Coping with Uncertainty

Author

Listed:
  • Matthias Jonas

    (International Institute for Applied Systems Analysis (IIASA))

  • Thomas White

    (Canadian Forest Service, Pacific Forestry Centre)

  • Gregg Marland

    (Oak Ridge National Laboratory)

  • Daniel Lieberman

    (ICF International)

  • Zbigniew Nahorski

    (Systems Research Institute of the Polish Academy of Sciences)

  • Sten Nilsson

    (International Institute for Applied Systems Analysis (IIASA))

Abstract

The assessment of greenhouse gases emitted to and removed from the atmosphere is high on both political and scientific agendas. Under the United Nations Framework Convention on Climate Change, Parties to the Convention publish annual or periodic national inventories of greenhouse gas emissions and removals. Policymakers use these inventories to develop strategies and policies for emission reductions and to track the progress of these policies. However, greenhouse gas inventories (whether at the global, national, corporate, or other level) contain uncertainty for a variety of reasons, and these uncertainties have important scientific and policy implications. For scientific, political, and economic reasons it is important to deal with the uncertainty of emissions estimates proactively. Proper treatment of uncertainty affects everything from our understanding of the physical system to the economics of mitigation strategies and the politics of mitigation agreements. A comprehensive and consistent understanding of, and a framework for dealing with, the uncertainty of emissions estimates should have a large impact on the functioning and effectiveness of the Kyoto Protocol and its successor. This chapter attempts to pull together relevant fragments of knowledge, allowing us to get a better picture of how to go about dealing with the uncertainty in greenhouse gas inventories.

Suggested Citation

  • Matthias Jonas & Thomas White & Gregg Marland & Daniel Lieberman & Zbigniew Nahorski & Sten Nilsson, 2010. "Dealing with Uncertainty in GHG Inventories: How to Go About It?," Lecture Notes in Economics and Mathematical Systems, in: Kurt Marti & Yuri Ermoliev & Marek Makowski (ed.), Coping with Uncertainty, chapter 0, pages 229-245, Springer.
  • Handle: RePEc:spr:lnechp:978-3-642-03735-1_11
    DOI: 10.1007/978-3-642-03735-1_11
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    Cited by:

    1. Khrystyna Boychuk & Rostyslav Bun, 2014. "Regional spatial inventories (cadastres) of GHG emissions in the Energy sector: Accounting for uncertainty," Climatic Change, Springer, vol. 124(3), pages 561-574, June.
    2. Enas Al Kawasmi & Edin Arnautovic & Davor Svetinovic, 2015. "Bitcoin‐Based Decentralized Carbon Emissions Trading Infrastructure Model," Systems Engineering, John Wiley & Sons, vol. 18(2), pages 115-130, March.

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