Website
http://dataportal.arc.gov.au/NCGP/API/grants/DE200100086
Funding Status
Active
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Funded Activity Summary
Will an improved land surface model enhance seasonal prediction of drought? This project aims to increase the predictability of seasonal droughts that cause major socio-economic losses in rural Australia. The capacity to predict drought, and in particular its impacts on the land, is currently limited by the low skill of forecast models. Using novel observations, the project expects to quantify the vulnerability of Australian agricultural lands to seasonal droughts. The new knowledge will then be used to modify land processes in the Bureau of Meteorology’s seasonal prediction system to better reflect Australian conditions. This project is expected to improve forecasts of high impact droughts, crucial to mitigate socio-economic risks, and should benefit decision-making in agriculture and other industries.Funded Activity Details
Start Date: 12-2020
End Date: 02-2025
Funding Scheme: Discovery Early Career Researcher Award
Funding Amount: $357,203.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Atmospheric Sciences | Climatology (excl. Climate Change Processes) | Climate Change Processes
ANZSRC Socio-Economic Objective (SEO)
Effects of Climate Change and Variability on Australia (excl. Social Impacts) | Climate Variability (excl. Social Impacts) |
