Uncertainty in an emissions-constrained world

Jonas, M. ORCID: https://orcid.org/0000-0003-1269-4145, Marland, G., Krey, V. ORCID: https://orcid.org/0000-0003-0307-3515, Wagner, F. ORCID: https://orcid.org/0000-0003-3429-2374, & Nahorski, Z. (2015). Uncertainty in an emissions-constrained world. In: Uncertainties in Greenhouse Gas Invertories. Expanding Our Perspectives. Eds. Ometto, J.P., Bun, R., Jonas, M. ORCID: https://orcid.org/0000-0003-1269-4145, & Nahorski, Z., pp. 9-26 Cham, Switzerland: Springer International. ISBN 978-3-319-15900-3 10.1007/978-3-319-15901-0_2.

[thumbnail of Database] Other (Database)
10584_2014_1103_MOESM2_ESM.xlsx - Supplemental Material
Available under License Creative Commons Attribution.

Download (6MB)


Our study focuses on uncertainty in greenhouse gas (GHG) emissions from anthropogenic sources, including land use and land-use change activities. We aim to understand the relevance of diagnostic (retrospective) and prognostic (prospective) uncertainty in an emissions-temperature setting that seeks to constrain global warming and to link uncertainty consistently across temporal scales. We discuss diagnostic and prognostic uncertainty in a systems setting that allows any country to understand its national and near-term mitigation and adaptation efforts in a globally consistent and long-term context. Cumulative emissions are not only constrained and globally binding but exhibit quantitative uncertainty; and whether or not compliance with an agreed temperature target will be achieved is also uncertain. To facilitate discussions, we focus on two countries, the USA and China. While our study addresses whether or not future increase in global temperature can be kept below 2, 3, or 4 degrees C targets, its primary aim is to use those targets to demonstrate the relevance of both diagnostic and prognostic uncertainty. We show how to combine diagnostic and prognostic uncertainty to take more educated (precautionary) decisions for reducing emissions toward an agreed temperature target; and how to perceive combined diagnostic and prognostic uncertainty-related risk. Diagnostic uncertainty is the uncertainty contained in inventoried emission estimates and relates to the risk that true GHG emissions are greater than inventoried emission estimates reported in a specified year; prognostic uncertainty refers to cumulative emissions between a start year and a future target year, and relates to the risk that a agreed temperature target is exceeded.

Item Type: Book Section
Research Programs: Air Quality & Greenhouse Gases (AIR)
Advanced Systems Analysis (ASA)
Energy (ENE)
Mitigation of Air Pollution (MAG)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:53
Last Modified: 27 Aug 2021 17:25
URI: https://pure.iiasa.ac.at/11599

Actions (login required)

View Item View Item