Accounting for Climate Change: Uncertainty in Greenhouse Gas Inventories - Verification, Compliance, and Trading

by Daniel Lieberman (Editor), Matthias Jonas (Editor), Zbigniew Nahorski (Editor), Sten Nilsson (Editor)

Overview

Uncertainty analysis is a key component of national GHG inventory analyses. The issues that are raised by the authors in this volume – and the role that uncertainty analysis plays in many of their arguments and/or proposals – highlight the importance of such efforts. Topics include: bottom-up versus top-down emission inventory approaches, compliance and verification issues, signal detection and analysis techniques, compliance with the Kyoto Prool, and the role of uncertainty in emissions trading schemes.

Product Details

ISBN-13:	9789048174799
Publisher:	Springer Netherlands
Publication date:	11/23/2010
Edition description:	Softcover reprint of hardcover 1st ed. 2007
Pages:	160
Product dimensions:	7.60(w) x 10.24(h) x 0.02(d)

Table of Contents

Accounting for Climate Change: Introduction.- Uncertainties of a Regional Terrestrial Biota Full Carbon Account: A Systems Analysis.- National Greenhouse Gas Inventories: Understanding Uncertainties versus Potential for Improving Reliability.- Practical Policy Applications of Uncertainty Analysis for National Greenhouse Gas Inventories.- Modeling Afforestation and the Underlying Uncertainties.- Spatial GHG Inventory: Analysis of Uncertainty Sources. A Case Study for Ukraine.- Prior to Economic Treatment of Emissions and Their Uncertainties Under the Kyoto Prool: Scientific Uncertainties That Must Be Kept in Mind.- Processing National CO2 Inventory Emissions Data and their Total Uncertainty Estimates.- Extension of EU Emissions Trading Scheme to Other Sectors and Gases: Consequences for Uncertainty of Total Tradable Amount.- Compliance and Emissions Trading under the Kyoto Prool: Rules for Uncertain Inventories.- The Impact of Uncertainty on Banking Behavior: Evidence from the US Sulfur Dioxide Emissions Allowance Trading Program.- Tradable Permit Systems: Considering Uncertainty in Emission Estimates.