Assessing the improvement of greenhouse gases inventories: Can we capture diagnostic learning?

Żebrowski, P. ORCID: https://orcid.org/0000-0001-5283-8049, Jonas, M. ORCID: https://orcid.org/0000-0003-1269-4145, & Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443 (2015). Assessing the improvement of greenhouse gases inventories: Can we capture diagnostic learning? In: Proceedings, 4th International Workshop on Uncertainty in Atmospheric Emissions, 7-9 October 2015, Krakow, Poland. pp. 90-96 Warsaw, Poland: Systems Research Institute, Polish Academy of Sciences. ISBN 83-894-7557-X

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Abstract

Our study aims at modelling the diagnostic learning understood as a gradual improvement of the quality of greenhouse inventories. We quantify this improvement by the speed of convergence of consecutive revisions of emissions estimates to the most recently published ones, which we assume to be close to the true emissions values. On the example of Austria’s National Inventory Reports we show that the diagnostic learning process exhibits exponential dynamics.

Item Type:	Book Section
Uncontrolled Keywords:	4th International Workshop on Uncertainty in Atmospheric Emissions
Research Programs:	Advanced Systems Analysis (ASA)
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 08:54
Last Modified:	27 Aug 2021 17:25
URI:	https://pure.iiasa.ac.at/11661

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