Student researcher
This research aims to forecast fuel moisture content (FMC) by coupling FMC and water cycle models. The FMC model is a physical process-based model and the water cycle model is the Australian Water Resources Assessment system landscape (AWRA-L) model.
This project aims to fill a research gap in understanding the effect of soil moisture on fuel moisture content: soil moisture has been shown to affect fuel moisture content but the role of soil moisture in determining fuel moisture content is uncertain. Although some soil-vegetation-atmosphere transfer models predict litter moisture when modeling soil moisture, these models are not suitable for bushfire management. To address this issue, the project will couple a physical fuel moisture content model and a hydrological model to develop a more flexible and accurate FMC model which will be applied at a large scale for operational use. In solving this problem, the project will provide end user organisations with more reliable and accurate outcomes in bushfire management as well as tools to better forecast FMC.
Year | Type | Citation |
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2022 | Journal Article | Representing vapour and capillary rise from the soil improves a leaf litter moisture model. Journal of Hydrology 612, (2022). |
2021 | Journal Article | The influence of soil moisture on surface and sub-surface litter fuel moisture simulation at five Australian sites. Agricultural and Forest Meteorology 298-299, (2021). |