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• W73884257 abstract "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. As is the case for ground-based flask data, satellite measurements of atmospheric gas concentrations (typically of column content, though with possibilities to obtain height-resolved values) provide no direct information on carbon exchange processes, but can constrain atmospheric transport models (or transport-chemistry models for reactive gases) whose boundary conditions are the surface fluxes we wish to estimate. In contrast, satellite measurements can provide information on relevant surface properties and processes, but the connection to carbon exchange estimates is normally indirect, and can only be achieved by interfacing them with an ecosystem model. Effective use of the data requires that this interface be well founded, and most of this chapter will be devoted to exploring how this can be" @default.
• W73884257 created "2016-06-24" @default.
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• W73884257 date "2008-01-01" @default.
• W73884257 modified "2023-10-16" @default.
• W73884257 title "Using Satellite Observations in Regional Scale Calculations of Carbon Exchange" @default.
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• W73884257 doi "https://doi.org/10.1007/978-0-387-76570-9_15" @default.
• W73884257 hasPublicationYear "2008" @default.
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