Object structure
Title:

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

Subtitle:

Raport Badawczy = Research Report ; RB/8/2005

Creator:

Jęda, Waldemar Paweł ; Nahorski, Zbigniew (1945– )

Publisher:

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

Place of publishing:

Warszawa

Date issued/created:

2005

Description:

22 pages ; 21 cm ; Bibliography p. 20-22

Subject and Keywords:

Nonparametric methods ; Modelling co2 emissions ; Geometric brownian motion ; Estimation of variance ; Parametric methods

Abstract:

One of the purposes of this article is to propose statistical signal processing methods to assess the uncertainty of reported greenhouse gases emissions. 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 type:

Text

Detailed Resource Type:

Report

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.

Access:

Open

×

Citation

Citation style: