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Continuing Evolution of the CDIAC Fossil-Fuel-Derived Carbon Dioxide Emissions Time Series:

Continuing Evolution of the CDIAC Fossil-Fuel-Derived Carbon Dioxide Emissions Time Series: Past, Present, and Future Bob Andres andresrj@ornl.gov Gregg Marland , Tom Boden. Basis of CDIAC FF CO 2 Time Series. Brief Outline. 1. One degree mapping 2. Monthly emissions

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Continuing Evolution of the CDIAC Fossil-Fuel-Derived Carbon Dioxide Emissions Time Series:

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  1. Continuing Evolution of the CDIAC Fossil-Fuel-Derived Carbon Dioxide Emissions Time Series: Past, Present, and Future Bob Andres andresrj@ornl.gov Gregg Marland, Tom Boden

  2. Basis of CDIAC FF CO2 Time Series

  3. Brief Outline 1. One degree mapping 2. Monthly emissions 3. Error analyses 4. Stable carbon isotope signatures

  4. One Degree Mapping Vesta Animation, 2010

  5. Monthly Emissions

  6. Error Analyses- Estimates 1. Marland and Rotty (1984) 10.2% (dependent) to 6.1% (independent) 90% confidence interval based on evaluation of individual terms in calculation 2. Andres, Marland, Houghton (in prep.) 9.55 to 9.74 % 95% confidence interval (2 sigma) based on quantifying the qualitative national error classes of Andres et al. (1996) 3. Jonas, Hamal, Marland (various stages) and Andres and Marland (in prep., parallel effort) x % based primarily on changes in self-reported totals 4. Macknick (2009) -2.9 to 4.8% comparison of EIA, IEA, UN/CDIAC, and EDGAR data

  7. Error Analyses- Why?

  8. Error Analyses- Why?

  9. Stable Carbon Isotope Signatures

  10. Forthcoming 1. Lead author on RECCAP chapter on fossil fuel emissions 2. More publications with utilization of monthly data in new applications 3. FF inventory role in GHGIS? 4. Expanded and improved FFCO2 database interface links together existing data allows queries allows simple analyses 5. Other opportunities when contacted by those who realize our expertise in FFCO2 emissions

  11. Conclusions 1. CDIAC offers a basic data product for FF CO2 emission estimates, as well as variants on that data. 2. This data is widely used and in many applications. 3. We look forward to your input to help guide our future activities.

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