Lcartwright94
PhD candidate in environmental statistics at University of Wollongong.
Wollongong, NSW, Australia
Pinned Repositories
atmospheric_tomography_point_and_line
atmospheric_tomography_point_and_line
BayesianAT
The BayesianAT software can be used to estimate a single greenhouse gas emission rate from a known point source (or sources), using a Bayesian inversion approach. This repository contains a curated dataset from the 2015 Ginninderra controlled-release experiment, and accompanying scripts required to reproduce results presented in "Bayesian atmospheric tomography for detection and quantification of methane emissions: Application to data from the 2015 Ginninderra release experiment", by Laura Cartwright, Andrew Zammit-Mangion, Sangeeta Bhatia, Ivan Schroder, Frances Phillips, Trevor Coates, Karita Neghandhi, Travis Naylor, Martin Kennedy, Steve Zegelin, Nick Wokker, Nicholas M. Deutscher, and Andrew Feitz.
LPDM-Sensitivity-Emulation
This repository contains the scripts required, and documentation detailing how to reproduce the results presented in "Emulation of greenhouse-gas sensitivities using variational autoencoders", by Laura Cartwright, Andrew Zammit-Mangion, and Nicholas M. Deutscher. Instructions for accessing and downloading the additional required datasets are also included.
Lcartwright94's Repositories
Lcartwright94/LPDM-Sensitivity-Emulation
This repository contains the scripts required, and documentation detailing how to reproduce the results presented in "Emulation of greenhouse-gas sensitivities using variational autoencoders", by Laura Cartwright, Andrew Zammit-Mangion, and Nicholas M. Deutscher. Instructions for accessing and downloading the additional required datasets are also included.
Lcartwright94/BayesianAT
The BayesianAT software can be used to estimate a single greenhouse gas emission rate from a known point source (or sources), using a Bayesian inversion approach. This repository contains a curated dataset from the 2015 Ginninderra controlled-release experiment, and accompanying scripts required to reproduce results presented in "Bayesian atmospheric tomography for detection and quantification of methane emissions: Application to data from the 2015 Ginninderra release experiment", by Laura Cartwright, Andrew Zammit-Mangion, Sangeeta Bhatia, Ivan Schroder, Frances Phillips, Trevor Coates, Karita Neghandhi, Travis Naylor, Martin Kennedy, Steve Zegelin, Nick Wokker, Nicholas M. Deutscher, and Andrew Feitz.