[1] Observation-based estimates of the global carbon budget serve as important constraints on carbon cycle models. We test the effect of new budget data on projection uncertainty. Using a simple global model, we find that data for an additional decadal budget have only a marginal effect on projection uncertainty, in the absence of any constraints on decadal variability in carbon fluxes. Even if uncertainty in the global budget were eliminated entirely, uncertainty in the mechanisms governing carbon sinks have a much larger effect on future projections. Results suggest that learning about the carbon cycle will best be facilitated by improved understanding of sink mechanisms and their variability as opposed to better estimates of the magnitudes of fluxes that make up the global carbon budget. Citation: Melnikov, N. B., and B. C. O'Neill (2006), Learning about the carbon cycle from global budget data, Geophys. Res. Lett., 33, L02705,
Temperature dependence of the magnetic characteristics of Fe and Fe-Ni Invar is considered in the dynamic nonlocal approximation of the spin-fluctuation theory. Calculations by several numerical methods show that the magnetic characteristics can have a discontinuous jump at high temperatures, well below the Curie temperature. Using the methods of catastrophe theory, we investigate the effect of small changes in the initial data on the results of the calculation. It is demonstrated that the discontinuous jump can only be smoothed but cannot be eliminated entirely without a significant change in the system of equations of the spin-fluctuation theory. Possible variants of such changes are discussed.
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