Mitigating the effects of severe fire, floods and heatwaves through the improvements of land dryness measures and forecasts

This project examined the use of detailed land surface models, satellite measurements and ground-based observations for the monitoring and prediction of landscape dryness. This project addresses a fundamental limitation in our ability to prepare for fires, floods and heatwaves and is directly linked to pre-event planning as well as forecasting of events.

Currently, landscape dryness for fire management is estimated in Australia using simple empirical models developed in the 1960s. The most prominent of those used in Australia are the Keetch-Byram Drought Index (KBDI) and the Soil Dryness Index (SDI). An initial study performed as part of this project suggested that analyses of soil moisture can be improved by using physics-based land surface models, remote sensing measurements and data assimilation.