The space and time impacts on U.S. regional atmospheric CO2concentrations from a high resolution fossil fuel CO2emissions inventory

Katherine D. Corbin, A. Scott Denning, Kevin R. Gurney
2010 Tellus: Series B, Chemical and Physical Meteorology  
A B S T R A C T To improve fossil fuel CO 2 emissions estimates, high spatial and temporal resolution inventories are replacing coarse resolution, annual-mean estimates distributed by population density. Because altering the emissions changes a key boundary condition to inverse-estimated CO 2 fluxes, it is essential to analyse the atmospheric impacts of redistributing anthropogenic emissions. Using a coupled ecosystem-atmosphere model, we compare 2004 atmospheric CO 2 concentrations resulting
more » ... rations resulting from coarse and high-resolution inventories. Using fossil fuel CO 2 emissions inventories with coarse spatial and temporal resolution creates spatially coherent biases in the atmospheric CO 2 concentrations. The largest changes occur from using seasonally varying emissions: in heavily populated areas along the west coast and the eastern United States, the amplitude of the near-surface CO 2 concentration seasonal cycle changed by >10 ppm, with higher concentrations in summer and lower concentrations in fall. Due to changes in the spatial distribution, spatially coherent annual mean concentration differences >6 ppm occur; and including the diurnal cycle causes changes >3 ppm. To avoid significant errors in CO 2 source and sink estimates from atmospheric inversions, it is essential to include seasonality in fossil fuel emissions, as well as to utilize higher-resolution, process-based spatial distributions.
doi:10.3402/tellusb.v62i5.16590 fatcat:sgyu5diysbgyffkyaa4b767seq