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Recent advances in fossil fuel CO2 (FFCO2) emission inventories enable sensitivity tests of simulated atmospheric CO2 concentrations to sub-annual variations in FFCO2 emissions and what this implies for the interpretation of observed CO2. Six experiments are conducted to investigate the

Recent advances in fossil fuel CO2 (FFCO2) emission inventories enable sensitivity tests of simulated atmospheric CO2 concentrations to sub-annual variations in FFCO2 emissions and what this implies for the interpretation of observed CO2. Six experiments are conducted to investigate the potential impact of three cycles of FFCO2 emission variability (diurnal, weekly and monthly) using a global tracer transport model. Results show an annual FFCO2 rectification varying from −1.35 to +0.13 ppm from the combination of all three cycles. This rectification is driven by a large negative diurnal FFCO2 rectification due to the covariation of diurnal FFCO2 emissions and diurnal vertical mixing, as well as a smaller positive seasonal FFCO2 rectification driven by the covariation of monthly FFCO2 emissions and monthly atmospheric transport. The diurnal FFCO2 emissions are responsible for a diurnal FFCO2 concentration amplitude of up to 9.12 ppm at the grid cell scale. Similarly, the monthly FFCO2 emissions are responsible for a simulated seasonal CO2 amplitude of up to 6.11 ppm at the grid cell scale. The impact of the diurnal FFCO2 emissions, when only sampled in the local afternoon, is also important, causing an increase of +1.13 ppmv at the grid cell scale. The simulated CO2 concentration impacts from the diurnally and seasonally varying FFCO2 emissions are centered over large source regions in the Northern Hemisphere, extending to downwind regions. This study demonstrates the influence of sub-annual variations in FFCO2 emissions on simulated CO2 concentration and suggests that inversion studies must take account of these variations in the affected regions.

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    Title
    • Sensitivity of Simulated CO2 Concentration to Sub-Annual Variations in Fossil Fuel CO2 Emissions
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    Date Created
    2016-02-19
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.5194/acp-16-1907-2016
    • Identifier Type
      International standard serial number
      Identifier Value
      1680-7316
    • Identifier Type
      International standard serial number
      Identifier Value
      1680-7324
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    Zhang, X., Gurney, K. R., Rayner, P., Baker, D., & Liu, Y. (2016). Sensitivity of simulated CO2 concentration to sub-annual variations in fossil fuel CO2 emissions. Atmospheric Chemistry and Physics, 16(4), 1907-1918. doi:10.5194/acp-16-1907-2016

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