A Global Synthesis Inversion Analysis of Recent Variability in CO₂ Fluxes Using GOSAT and In Situ Observations.

ABSTRACT: The precise contribution of the two major sinks for anthropogenic CO₂ emissions, terrestrial vegetation and the ocean, and their location and year-to-year variability are not well understood. Top-down estimates of the spatiotemporal variations in emissions and uptake of CO₂ are expected to benefit from the increasing measurement density brought by recent in situ and remote CO₂ observations. We uniquely apply a batch Bayesian synthesis inversion at relatively high resolution to in situ surface observations and bias-corrected GOSAT satellite column CO₂ retrievals to deduce the global distributions of natural CO₂ fluxes during 2009-2010. Our objectives include evaluating bottom-up prior flux estimates, assessing the value added by the sat

SUBMITTER: Wang JS 

PROVIDER: S-EPMC8051259 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature