Linkage Projects - Grant ID: LP100100319

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP100100319

Funding Status
Closed

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Funded Activity Summary

Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driven seasonal forecast system using high density climate data from the 17,000 Grain Growers Association members and climate drivers such as sea surface temperature from the Bureau of Meteorology. After validation against observed data, the forecasts will be delivered via a web-based portal to users.

Funded Activity Details

Start Date: 03-06-2010

End Date: 02-10-2014

Funding Scheme: Linkage Projects

Funding Amount: $228,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Agro-ecosystem Function and Prediction | Agronomy | Natural Hazards | Crop and Pasture Production

ANZSRC Socio-Economic Objective (SEO)

Climate variability | Field crops |

Other Keywords

Agro-ecosystem Function and Prediction | Agronomy | Climate variability | Crop and Pasture Production | Field crops | Natural Hazards

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