Optimal Estimation of CO2 Flux from Targeted Satellite Observations: A Variational Approach

Tuesday, November 19, 2013 - 4:15pm - 4:40pm
Lind 305
Graham Cox (University of North Carolina, Chapel Hill)
We consider the estimation of carbon flux at the ocean-atmosphere interface from the perspective of variational data assimilation. The flux is treated as a time-dependent Neumann boundary condition for the carbon mixing ratio, which evolves according to a linear diffusive transport equation. The variational problem has a natural, infinite-dimensional Bayesian formulation. We present an explicit computation of the resulting posterior covariance, and, by examining its dependence on the observation operator, explain how our results can be used to guide future observational strategies.
MSC Code: