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Mixing ratio measurements of atmospheric tracers like CO<sub>2</sub>can be used to estimate regional surface-air tracer fluxes using inverse methods,involving a numerical transport model.Currently available transport models are either global but rather coarse,or more accurate but only over a limited spatial and temporal domain.To obtain higher-resolution flux estimates within a region of interest,existing studies use zoomed or coupled models.The two-step scheme developed here uses global and regional models sequentiallyin separate inversion steps, coupled only via the data vector.This provides a nested atmospheric inversion scheme without the necessityof a direct coupled model implementation.For example, the scheme allows an easy nesting of Lagrangian modelswith their potential of very high resolution into global inversionsbased on Eulerian models

A two-step scheme for high-resolution regional atmospheric trace gas inversions based on independent models