Sensitivity of simulated CO2 concentration to sub-annual variations in fossil fuel CO2 emissions
Item
Title (Dublin Core)
Sensitivity of simulated CO2 concentration to sub-annual variations in fossil fuel CO2 emissions
Description (Dublin Core)
Recent advances in fossil fuel CO<sub>2</sub> (FFCO<sub>2</sub>) emission inventories enable sensitivity tests of simulated atmospheric CO<sub>2</sub> concentrations to sub-annual variations in FFCO<sub>2</sub> emissions and what this implies for the interpretation of observed CO<sub>2</sub>. Six experiments are conducted to investigate the potential impact of three cycles of FFCO<sub>2</sub> emission variability (diurnal, weekly and monthly) using a global tracer transport model. Results show an annual FFCO<sub>2</sub> 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 FFCO<sub>2</sub> rectification due to the covariation of diurnal FFCO<sub>2</sub> emissions and diurnal vertical mixing, as well as a smaller positive seasonal FFCO<sub>2</sub> rectification driven by the covariation of monthly FFCO<sub>2</sub> emissions and monthly atmospheric transport. The diurnal FFCO<sub>2</sub> emissions are responsible for a diurnal FFCO<sub>2</sub> concentration amplitude of up to 9.12 ppm at the grid cell scale. Similarly, the monthly FFCO<sub>2</sub> emissions are responsible for a simulated seasonal CO<sub>2</sub> amplitude of up to 6.11 ppm at the grid cell scale. The impact of the diurnal FFCO<sub>2</sub> 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 CO<sub>2</sub> concentration impacts from the diurnally and seasonally varying FFCO<sub>2</sub> 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 FFCO<sub>2</sub> emissions on simulated CO<sub>2</sub> concentration and suggests that inversion studies must take account of these variations in the affected regions.
Creator (Dublin Core)
Zhang, Xia
Gurney, Kevin R.
Rayner, Peter
Baker, David
Liu, Yu-ping
Date (Dublin Core)
2018-09-19
Type (Dublin Core)
Text
Format (Dublin Core)
application/pdf
Identifier (Dublin Core)
10.5194/acp-16-1907-2016
https://acp.copernicus.org/articles/16/1907/2016/
Source (Dublin Core)
eISSN: 1680-7324
Language (Dublin Core)
eng



