Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP190100180
Funding Status
Active
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Funded Activity Summary
Bayesian inversion and computation applied to atmospheric flux fields. This project aims to make use of unprecedented sources of measurements, from remote sensing and in situ data, to estimate the sources and sinks of greenhouse gases. An overabundance of greenhouse gases in Earth's atmosphere is arguably the most serious long-term threat to the planet's ecosystems. This project will combine measurement uncertainties, process uncertainties in the physical transport models, and any parameter uncertainties, to provide reliable uncertainty quantification for the estimates. This will be achieved with new Bayesian spatio-temporal inversions and big-data computational strategies. The resulting statistical inferences on greenhouse-gas flux fields will enable the development of critical mitigation strategies. These new statistical inferences will be a valuable resource to policy-makers worldwide, who are assessing progress towards global commitments. Further, the final product may assist in developing cost-effective mitigation strategies in the presence of uncertainty.Funded Activity Details
Start Date: 06-2019
End Date: 10-2024
Funding Scheme: Discovery Projects
Funding Amount: $505,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Applied Statistics | Statistics | Climate Change Processes
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Environmental Sciences | Expanding Knowledge in the Mathematical Sciences |
