A method for independent validation of surface fluxes from atmospheric inversion: Application to CO2
2016
Validating
fluxesfrom an atmospheric inversion is a challenging problem because there are often no direct
fluxmeasurements at comparable spatiotemporal scales whereas there are often relevant independent observables, e.g.,
trace gasconcentrations. In this paper, we propose a method that validates posterior
fluxesby projecting the errors between posterior and prior observable model states and independent data to the spatiotemporal differences between posterior and prior
fluxeswith an atmospheric transport adjoint model. We prove theoretically the conditions for which
observed errorreductions lead to error reductions in
fluxes. We apply this approach to the atmospheric CO2 inversion problem using the NASA Carbon Monitoring System
Fluxproject with an Observing System Simulation Experiment. We show that the posterior
fluxesare more accurate than the prior over the region that significantly contributes to the reduction of CO2 errors, which is consistent with the theory.
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