Key points are not available for this paper at this time.
The stable isotopic composition of atmospheric CO 2 is being monitored via measurements made at the University of Colorado‐Institute of Arctic and Alpine Research, using air samples collected weekly by the Global Air Sampling Network of the NOAA Climate Monitoring and Diagnostics Laboratory. These measurements, in concert with the monitoring of atmospheric CO 2 mixing ratios, offer the potential to characterize quantitatively the mechanisms operating in the global carbon cycle, by recording the isotopic signatures imparted to CO 2 as it moves among the atmosphere, biosphere, and oceans. This data set increases the number of measurements of atmospheric CO 2 isotopes by nearly an order of magnitude over those previously available. We describe the analytical techniques used to obtain and calibrate these data and report measurements from 25 land‐based sites, and two ships in the Pacific Ocean, from samples collected during 1990–1993. The typical precision of our mass spectrometric technique is 0.03‰ for δ 13 C and 0.05‰ for δ 18 O. Collecting the flask samples without drying leads to loss of δ 18 O information at many sites. The seasonal cycle in δ 13 C at sites in the northern hemisphere is highly correlated with that of the CO 2 mixing ratio, with amplitudes approaching 1‰ at high latitudes. The seasonal cycle in δ 18 O is of similar amplitude, though variable from year to year and lags the other species by 2–4 months. Interhemispheric differences of the 1992 and 1993 means of the isotopic tracers are in strong contrast: the north pole‐south pole difference for δ 13 C is −0.20‰, which though highly quantitatively significant is dwarfed by the −2‰ difference for δ 18 O. In contrast to the record of atmospheric δ 13 C during the 1980s we observe no significant temporal trend in annual mean δ 13 C during 1990–1993.
Trolier et al. (Fri,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: