96 citations · 291 across the 19 of their papers we have counts for
7 papers · 1 filter
From Many to One: Consensus Inference in a MIP
Noel Cressie, Michael Bertolacci, Andrew Zammit-Mangion
A Model Intercomparison Project (MIP) consists of teams who each estimate the same underlying quantity (e.g., temperature projections to the year 2070), and the spread of the estim…
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…
Bayesian Inference of Spatio-Temporal Changes of Arctic Sea Ice
Bohai Zhang, Noel Cressie
Arctic sea ice extent has drawn increasing interest and alarm from geoscientists, owing to its rapid decline. In this article, we propose a Bayesian spatio-temporal hierarchical st…
On statistical approaches to generate Level 3 products from satellite remote sensing retrievals
Andrew Zammit-Mangion, Noel Cressie, Clint Shumack
Satellite remote sensing of trace gases such as carbon dioxide (CO) has increased our ability to observe and understand Earth's climate. However, these remote sensing data, spe…
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…
Bayesian Learning and Predictability in a Stochastic Nonlinear Dynamical Model
John Parslow, Noel Cressie, Edward P. Campbell +2
Bayesian inference methods are applied within a Bayesian hierarchical modelling framework to the problems of joint state and parameter estimation, and of state forecasting. We expl…