Transport-based inversions of atmospheric CO₂ concentration measurements have been used by several groups [e.g., Bousquet, et al., 2000; Rödenbeck, et al., 2003; Baker, et al., 2005] to estimate monthly regional CO₂ fluxes from the 1980s to the present. When compared at the scale of broad latitude bands, the inter-annual variability (IAV) of these results is broadly consistent. This agreement breaks down, however, when the fluxes are partitioned regionally inside these latitude bands, or even into global land/ocean totals. We show here that this disagreement can largely be explained by random estimation errors and transport model errors affecting the estimates.

We evaluate the impact on modeled atmospheric CO₂ concentrations of explicitly representing the tropospheric CO₂ source from reduced carbon oxidation. We also calculate the bias in inverse flux estimates that results from omitting this influence.

We have carried out the tank experiment in the low-temperature room to clarify the CO₂ gas exchange mechanism between the sea and the overlying air during the sea-ice formation process. The air CO₂ concentration in the headspace of the tank began to increase simultaneously with the sea-ice formation and growth. The CO₂ flux was with in the range from 2.1x10^-4 to 4.5x10^-4 g-C m^-2 hour^-1 at ice thickness of 5cm. The CO₂ flux was mainly dependent on the brine salinity in the upper layer of sea-ice, which suggests that CO₂ was released from the brine in the sea-ice, and transported to the atmosphere.

Atmospheric Observing Systems, Inc. has developed a new Airborne Analyzer System for autonomous observations of dry mole fraction of Carbon Dioxide from light aircraft. AOS presents an archive of more than 100 vertical profiles to prove its performance. The observed site was Ameriflux (40.734N, 104.301W) in northern Colorado.

Mt. Cimone Observatory is a background station for the measurement of greenhouse gases and other atmospheric pollutants located on the top of the highest peak of the Italian Northern Appenines. Continuous Measurements of atmospheric CO₂ were started in March 1979 by the Italian Air Force Meteorological Service using NDIR analysers. A number of case studies are presented in order to show the influence of certain polluted or vegetated areas on the concentration of carbon dioxide. Chemical tracers are used to asses the origin of the air masses together with an analysis of the back trajectories.

To examine concentration variations of atmospheric CO₂ in the sub-tropical region of East Asia, systematic air sampling with subsequent laboratory analysis has been made in the southernmost part of Japan since June 1993. A time series of measured CO₂ concentrations was analyzed for long-term trend, seasonal cycle and interannual variability, and the temporal CO₂ variations deduced were interpreted in terms of atmospheric transport and CO₂ flux regions.

Systematic observations of the atmospheric CO₂ concentration, and carbon and oxygen isotope ratios of CO₂ (d¹³C and d¹⁸O) have been maintained at Japanese Arctic Observatory in Ny Ålesund (79°N, 12°E) and Antarctic station, Syowa (69°S, 40°E). The interannual variations of the CO₂ concentration and d¹³C in association with the occurrence of ENSO event were clearly observed at the both sites. The d¹⁸O values observed at Syowa Station showed significant increasing trend after 1999.

In the CHIOTTO project (http://www.chiotto.org) as part of the CarboEurope cluster of projects (http://www.carboeurope.org) a network of 8 tall tower stations has been set up in Europe. Most towers are equipped for continuous high precision measurements of ambient CO₂, CH₄, CO and SF₆. Some stations are also equipped for continuous measurement of ²²²Rn and flask sampling. First measurement results are presented and evaluated using forward and inverse model calculations.

We present a new version of the global atmospheric tracer transport model driven by analyzed meteorology with diurnally varying mixing in the boundary layer capable of running globally at resolutions up to quarter degree longitude-latitude or higher. The impact of the higher resolution model can be visible in resolving city plumes, airmass boundaries, diurnal cycle, fronts and synoptic scale events often observed in continuous CO₂ monitoring site data.