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

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/32678 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/32678 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/32678 archive 351 disk0/00/01/16/61 2016-01-15 08:54:14 2021-08-27 17:25:30 2016-01-15 08:54:14 book_section show 1 Żebrowski P. 2086 0000-0001-5283-8049 Jonas M. 1351 0000-0003-1269-4145 Rovenskaya E. 8206 0000-0002-2761-3443 Assessing the improvement of greenhouse gases inventories: Can we capture diagnostic learning? pub iis_env prog_asa 4th International Workshop on Uncertainty in Atmospheric Emissions 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. 2015-10 published Systems Research Institute, Polish Academy of Sciences http://webarchive.iiasa.ac.at/~jonas/CV%20IIASA/Uploads/4thUncWS%207-9oct15/Proceedings_4thWorkshop.pf XP-15-008 [ISBN:83-894-7557-X] <http://webarchive.iiasa.ac.at/~jonas/CV%20IIASA/Uploads/4thUncWS%207-9oct15/Proceedings_4thWorkshop.pf> 343 138 260 public Warsaw, Poland 90-96 Proceedings, 4th International Workshop on Uncertainty in Atmospheric Emissions 7-9 October 2015 workshop 83-894-7557-X Proceedings, 4th International Workshop on Uncertainty in Atmospheric Emissions, 7-9 October 2015, Krakow, Poland FALSE info:eu-repo/semantics/bookPart