44 citations · 79 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
GeoWarp: Warped spatial processes for inferring subsea sediment properties
Michael Bertolacci, Andrew Zammit-Mangion, Juan Valderrama Giraldo +3
For offshore structures like wind turbines, subsea infrastructure, pipelines, and cables, it is crucial to quantify the properties of the seabed sediments at a proposed site. Howev…
WOMBAT: A fully Bayesian global flux-inversion framework
Andrew Zammit-Mangion, Michael Bertolacci, Jenny Fisher +4
WOMBAT (the WOllongong Methodology for Bayesian Assimilation of Trace-gases) is a fully Bayesian hierarchical statistical framework for flux inversion of trace gases from flask, in…
Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion
Andrew Zammit-Mangion, Noel Cressie, Anita L. Ganesan
Atmospheric trace-gas inversion is the procedure by which the sources and sinks of a trace gas are identified from observations of its mole fraction at isolated locations in space…