Constraining the CO2 budget of the corn belt: Exploring uncertainties from the assumptions in a mesoscale inverse system
- ISSN: 16807316
- DOI: 10.5194/acp-12-337-2012
We performed an atmospheric inversion of the CO2 fluxes over Iowa and the surrounding states, from June to December 2007, at 20km resolution and weekly timescale. Eight concentration towers were used to constrain the carbon balance in a 1000 × 1000 km2 5 domain in this agricultural region of the US upper midwest. The CO2 concentrations of the boundaries derived from CarbonTracker were adjusted to match direct observations from aircraft profiles around the domain. The regional carbon balance ends up with a sink of 178 TgC±35 TgC over the area for the period June–December, 2007. Potential bias from incorrect boundary conditions of about 0.4 ppm over the 7 10 months was corrected using mixing ratios from four different aircraft profile sites operated at a weekly time scale, acting as an additional source of uncertainty of 18 TgC.We used two different prior flux estimates, the SiBCrop model and the inverse flux product from the CarbonTracker system. We show that inverse flux estimates using both priors converge to similar posterior estimates (10 TgC difference), in our reference inversion, 15 but some spatial structures from the prior fluxes remain in the posterior fluxes, revealing the importance of the prior flux resolution and distribution despite the large amount of atmospheric data available. The retrieved fluxes were compared to eddy flux towers in the corn and grassland areas, revealing an improvement in the seasonal cycles between the two compared to the prior fluxes, despite large absolute differences due 20 to representation errors. The uncertainty of 35 TgC (about 35 gCm2) was derived from the posterior uncertainty obtained with our reference inversion of about 25 to 30 TgC and from sensitivity tests of the assumptions made in the inverse system, for a mean carbon balance over the region of −178 TgC, slightly weaker than the reference. Because of the potential large bias ( 20 TgC in this case) due to choice of background 25 conditions, proportional to the surface but not to the regional flux, this methodology seems limited to regions with a large signal (sink or source), unless additional observations can be used to constrain the boundary inflow.