Discovery Early Career Researcher Award - Grant ID: DE170100748

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE170100748

Funding Status
Closed

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Funded Activity Summary

Statistical tools for assessing effects of environmental change. This project aims to develop statistical tools for improving prediction of environmental exceedances, such as atmospheric carbon dioxide sources and sinks. Predicting extreme environmental conditions or events is crucial for effective environmental decision-making and management. The project will develop the tools using statistical inference based on a statistical model that combines predictions from related scientific models. In the case of carbon dioxide, improving prediction reliability by reducing bias and uncertainty whilst accounting for model-based dependence is an important step toward mitigating carbon dioxide sources and protecting carbon dioxide sinks. This capability is crucial for adaptive planning and a resilient society.

Funded Activity Details

Start Date: 01-01-2017

End Date: 20-04-2018

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $360,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Statistics | Atmospheric Sciences not elsewhere classified |

ANZSRC Socio-Economic Objective (SEO)

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

Other Keywords

Applied Statistics | Atmospheric Sciences not elsewhere classified | Climate and Climate Change not elsewhere classified | Expanding Knowledge in the Mathematical Sciences | Statistics

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