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stat.AP2025
WOMBAT v2.S: A Bayesian inversion framework for attributing global CO flux components from multiprocess data
Josh Jacobson, Michael Bertolacci, Andrew Zammit-Mangion +2
Contributions from photosynthesis and other natural components of the carbon cycle present the largest uncertainties in our understanding of carbon dioxide (CO) sources and sin…
stat.AP2015★ 19 cited
Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion
Andrew Zammit-Mangion, Noel Cressie, Anita L. Ganesan +2
Atmospheric trace-gas inversion refers to any technique used to predict spatial and temporal fluxes using mole-fraction measurements and atmospheric simulations obtained from compu…