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This paper is devoted to the study of uncertainty in the greenhouse gases (GIIG) emission inventories. Analyzing the CDIAC data from the Oak Ridge National Laboratory, USA, collected every few years between 1986 and 2004, and their revisions, made in 1989 - 2004, we model changes in uncertainty structure, occurring in consecutive years. This is achieved by a parametric model, applied earlier to investigate data from the National Inventory Reports (NIR). Results obtained for several EU countries, are presented in the form of figures and tables. They are also compared with those, obtained from the NIR data.
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Projects co-financed by:
Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.