River flow model assists extreme weather predictions

A new river flow forecast model should improve the accuracy and reliability of forecasting extreme weather.

The model, developed by Curtin PhD candidate Honey Badrzadeh, provides stronger river flow data estimates which will assist in cases of extreme weather and in the planning of water systems.

Accurate short and long term river flow forecasts are essential when designing hydraulic structures, in flood and drought analysis, and also in providing information for irrigation scheduling and environmental planning.

The model combines elements of existing methods in order to create more accurate predictions.

Read more at Curtin University