Title:

Learning in national inventory reporting: a bivariate approach

Subtitle:

Raport Badawczy = Research Report ; RB/28/2016

Creator:

Jarnicka, Jolanta ; Nahorski, Zbigniew (1945– )

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2016

Description:

23 pages ; 21 cm ; Bibliography p. 21-22

Subject and Keywords:

Gaz cieplarniany ; Niepewność ; Uncertainty ; Greenhouse gases ; National invetory reports ; Raporty z krajowej inwentaryzacji ; Inventory revisions ; Time trends ; Trendy czasowe

Abstract:

The paper addresses the problem of uncertainty assessment in National Inventory Reports (NIRs) on greenhouse gas (GHG) emission, provided by cosignatories to the UNFCCC and its Kyoto Protocol. The data on GHG emission in a given year, along with revisions for past data are reported anually, resulting in the data matrix with rows consisting of the data series, formed by consecutive revisions, and columns, corresponding to emissions for a given year, estimated in consecutive revisions. The idea is to consider each row of that matrix a realization of a discrete-time non-stationary stochastic process, being a sum of two other processes, and to analyze the uncertainty related to both of them. The uncertainty is interpreted in terms of errors and expressed by the mean values of the component processes, as functions of time. The existence and uniqueness of these estimates are investigated, and the iterative estimation algorithm is proposed. Some methods to estimate standard deviations are also discussed and their interpretation in terms of uncertainty is provided. The estimation results are presented for a few selected EU-15 countries.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2016-28

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

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.

Access:

Open