Object

Title: Processing National CO 2 Inventory Emission Data and their Total Uncertainty Estimates

Subtitle:

Raport Badawczy = Research Report ; RB/8/2005

Publisher:

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

Place of publishing:

Warszawa

Description:

24 pages ; 21 cm ; Bibliography p. 24

Abstract:

Uncertainty of reported greenhouse gases emissions obtained by aggregation of the partial emissions from all sources and estimated so far for sev­eral countries is very high. Independent calculation of the estimates could confirm or question the values obtained up to now. One of the aim of this paper is to propose statistical signal processing methods for doing it. They use the yearly reported observations while assuming temporal smoothness of the emission curve. The considered methods are: a spline function smoothing procedure, a time-varying parameter model, and the geometric Brownian motion model. They are verified on historical observations of the CO2 emissions from combustion of the fossil fuels. The obtained estimates of variances agree in the range with those obtained from national inventories. As an additional result, some regularities in observed curves were noticed.

Relation:

Raport Badawczy = Research Report

Resource Identifier:

oai:rcin.org.pl:109486 ; oai:rcin.org.pl:109486

Source:

RB-2005-08

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.

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