References

ACP

Atmospheric Chemistry and Physics

ACP

1680-7324

Copernicus GmbH

Göttingen, Germany

10.5194/acp-11-6855-2011

The CO2 release and Oxygen uptake from Fossil Fuel Emission Estimate (COFFEE) dataset: effects from varying oxidative ratios

Steinbach

¹ ³ Gerbig

¹ Rödenbeck

¹ Karstens

¹ Minejima

² ⁴ Mukai

Max Planck Institute for Biogeochemistry, Jena, Germany

Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan

now at: Stockholm University, Department of Applied Environmental Science, Stockholm, Sweden

now at: Tokyo University of Agriculture and Technology, Department of Chemical Engineering, Tokyo, Japan

18 07 2011

11 14 6855 6870

This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

This article is available from http://www.atmos-chem-phys.net/11/6855/2011/acp-11-6855-2011.html

The full text article is available as a PDF file from http://www.atmos-chem-phys.net/11/6855/2011/acp-11-6855-2011.pdf

We present a global dataset of CO2 emissions and O2 uptake associated with the combustion of different fossil fuel types. To derive spatial and temporal patterns of oxygen uptake, we combined high-resolution CO2 emissions from the EDGAR (Emission Database for Global Atmospheric Research) inventory with country level information on oxidative ratios, based on fossil fuel consumption data from the UN energy statistics database. The results are hourly global maps with a spatial resolution of 1°×1° for the years 1996–2008. The potential influence of spatial patterns and temporal trends in the resulting O2/CO2 emission ratios on the atmospheric oxygen signal is examined for different stations in the global measurement network, using model simulations from the global TM3 and the regional REMO transport model. For the station Hateruma Island (Japan, 24°03' N, 123°48' E), the simulated results are also compared to observations. In addition, the possibility of signals caused by variations in fuel use to be mistaken for oceanic signals is investigated using a global APO inversion.

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