Estimates of carbon exchange at regional to global scale have been achieved by essentially three means: (1) use of atmospheric concentration measurements with models of atmospheric transport to infer carbon sources and sinks (atmospheric inversion), (2) inventory and (3) process modelling. These approaches can be applied independently, with results that are rarely consistent even amongst approaches of the same type (e.g. Janssens et al. 2003), and each has particular strengths and weaknesses. The first two simply involve conservation of mass and are based on measurements (although these are normally highly undersampled in space). They have little power to explain the observed fluxes or predict their future behaviour. In contrast, the third approach has both explanatory and predictive power, but is normally poorly constrained by measurements. These complementary strengths motivate current efforts to combine the three approaches in model—data fusion schemes (Ciais et al. 2003). Satellite data can play an important part in such schemes, since satellite sensors provide the only means of making global, frequently repeated measurements of the Earth’s surface and atmosphere. However, capitalising on these measurements to make improved carbon exchange estimates requires that they be brought into the same framework as the models that actually perform the estimates. This interface depends on both the measurements and the type of model.
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Quegan, S., Lewis, P., Quaife, T., Roberts, G., Wooster, M., Disney, M. (2008). Using Satellite Observations in Regional Scale Calculations of Carbon Exchange. In: Dolman, A.J., Valentini, R., Freibauer, A. (eds) The Continental-Scale Greenhouse Gas Balance of Europe. Ecological Studies, vol 203. Springer, New York, NY. https://doi.org/10.1007/978-0-387-76570-9_15
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