Processing national CO2 inventory emissions data and their total uncertainty estimates

Water, Air, and Soil Pollution: Focus

Volumn 7, Issue 4-5, 2007, Pages 513-527

  Nahorski, Zbigniew ^a   Jȩda, Waldemar ^a  

^a SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Estimation of variance; Geometric Brownian motion; Modelling CO2 emissions; Nonparametric methods; Parametric methods

Indexed keywords

BROWNIAN MOTION; CARBON DIOXIDE; COMBUSTION; EMISSION INVENTORY; ESTIMATION METHOD; FOSSIL FUEL; GREENHOUSE GAS; KYOTO PROTOCOL; MODELING; UNCERTAINTY ANALYSIS;

EID: 34547337636     PISSN: 15677230     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11267-006-9114-6     Document Type: Article

References (24)

1. Brandes, L. J., Olivier, J. C. J., & van Oorschot, M. H. P. (2004). Validation, verification and uncertainty assessment for improving The Netherlands' emission inventory. In Proceedings of the workshop 'Uncertainty in Greenhouse Gas Inventories: Verification, Compliance & Trading.' (pp. 19-33). Warsaw, Poland: SRI PAS & IIASA. http://www.ibspan.waw.pl/papers/ Brandes.pdf.
2. Debnath, L. (2002). Wavelet transforms and their applications. Switzerland: Birkhäuser.
3. FCCC (1998). FCCC report of the conference of the parties on its third session, held at Kyoto from 1 to 11 December 1997. Addendum. Document FCCC/CP/1997/7/Add.1, United Nations Framework Convention on Climate Change (FCCC). http://www.unfccc.de/http://unrccc.int/index.html.
4. FCCC (2001). Implementation of the Buenos Aires plan of action: adoption of the decisions giving effect to the Bonn agreements. Draft decisions forwarded for elaboration, completion and adoption. National systems, adjustments and guidelines under Articles 5, 7 and 8 of the Kyoto Protocol. Document FCCC/CP/2001/L.18, United Nations Framework Convention on Climate Change (FCCC). http://www.unfccc.de/.
5. Gillenwater, M., Sussman, F., & Cohen, J. (2007). Practical applications of uncertainty analysis for national greenhouse gas inventories (this issue).
6. Gu, C. (2002). Smoothing spline ANOVA models. Berlin Heidelberg New York: Springer.
7. Gugele, B., Huttunen, K., & Ritter, M. (2005). Annual European community greenhouse gas inventory 1990-2003 and inventory report 2005. Technical report no. 4/2005. Copenhagen, Denmark: European Environment Agency, http://reports.eea.europa.eu/technical_report_2005_4/en.
8. Gupta, J., Oltshoorn, X., & Rotenberg, E. (2003). The role of scientific uncertainty in compliance with the Kyoto Protocol to the climate change convention. Environmental Science and Policy, 6, 475-486.
9. Hudz, H. (2003). Verification times underlying the Kyoto Protocol: Consideration of risk. Interim report IP-02-066. Austria: International Institute for Applied Systems Analysis (IIASA).
10. IPCC (1996). IPCC guidelines for national greenhouse gas inventories, vol. 1-3. London: IPCC.
11. IPCC (2000). Good practice guidance and uncertainty management in national greenhouse gas inventories. In J. Penman, D. Kruger, I. Galbally, T. Hiraishi, B. Nyenzi, S. Emmanuel, L. Buendia, R. Hoppaus, T. Martinsen, J. Meijer, K. Miwa, & K. Tanabe (Eds.), Intergovernmental panel on climate change (IPCC) National gas inventories program. Technical support unit. Hayama, Kanagawa, Japan: Institute for Global Environmental Strategies.
12. Jonas, M., & Nilsson, S. (2007). Prior to an economic treatment of emissions and their uncertainties under the Kyoto Protocol: scientific uncertainties that must be kept in mind (this issue).
13. Kroeze, C., Vlasblom, J., Gupta, J., Boudri, C., & Blok, K. (2004). The power sector in China and India: greenhouse gas emission potential and scenarios for 1990-2020. Energy Policy, 32, 55-76.
14. 2 emissions. Energy Policy, 32, 447-454.
15. 2 emissions. In Trends: A compendium of data on global change, carbon dioxide information analysis center. OAK Ridge National Laboratory: U.S. Department of Energy. http://cdiac.esd.ornl.gov/ trends/emis/em_cont.htm.
16. Monni, S., Syri, S., Pipatti, R., & Savolainen, I. (2007). Extension of EU emissions trading scheme to other sectors and gases: consequences for uncertainty of total tradable amount (this issue).
17. Nahorski, Z., Jȩda, W., & Jonas, M. (2003). Coping with uncertainty in verification of the Kyoto obligations. In J. Studziński, L. Drelichowski, & O. Hryniewicz (Eds.), Zastosowania informatyki i analizy systemowej w zarza̧dzaniu, (pp. 305-317). Warsaw, Poland: IBS PAN.
18. Nilsson, S., Jonas, M., Obersteiner, M., & Victor, D. (2001). Verification: the gorilla in the struggle to slow global warming. Forestry Chronicle, 77, 475-478.
19. Nilsson, S., Jonas, M., & Obersteiner, M. (2002). COP 6: a healing shock. Climatic Change, 52, 25-28.
20. Riahi, K., Rubin, E. S., Taylor, M. R., Schrattenholzer, L., & Houndshell, D. (2004). Technological learning for carbon capture and sequestration technologies. Energy Policy, 26, 539-564.
21. Rypdal, K., & Winiwarter, W. (2001). Uncertainty in greenhouse gas emission inventories - evaluation, comparability and implications. Environmental Science and Policy, 4, 104-116.
22. Wahba, G. (1990). Spline models for observational data. Montpelier, VT, USA: Capital City Press.
23. Walter, G. G. (1994). Wavelets and other orthogonal systems with applications. CRC Press.
24. Winiwarter, W. (2007). National greenhouse gas inventories: understanding uncertainties versus potential for improving reliability (this issue).