Discovery Projects - Grant ID: DP220100931

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP220100931

Funding Status
Active

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Funded Activity Summary

A dynamical systems theory approach to machine learning. Forecasting the future state of a high-dimensional complex multi-scale system is a challenge we face in areas ranging from climate science to epidemiology. Even when basic physical mechanisms have been identified, the actual evolution equations are often unknown. This project will develop a computationally cheap machine learning framework for forecasting. The proposed mathematical framework provides a forecast together with a quantification of its uncertainty. We will develop sophisticated mathematical theory underpinning the novel methodology, as well as applying it to the perennial problem of subgrid-scale parametrisation of tropical convection, a missing key element in current climate models.

Funded Activity Details

Start Date: 01-06-2022

End Date: 31-05-2025

Funding Scheme: Discovery Projects

Funding Amount: $356,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Dynamical Systems in Applications | Applied Mathematics |

ANZSRC Socio-Economic Objective (SEO)

Climate and Climate Change not elsewhere classified | Atmosphere and Weather not elsewhere classified | Expanding Knowledge in the Mathematical Sciences

Other Keywords

Applied Mathematics | Atmosphere and Weather not elsewhere classified | Climate and Climate Change not elsewhere classified | Dynamical Systems in Applications | Expanding Knowledge in the Mathematical Sciences

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