IWF researchers develop cutting-edge computer models to inform, advise and guide decision makers. We increase scientific understanding, provide data and develop fit-for-purpose models through collaboration and our specialised advisory services.​

We combine satellite data with sophisticated models to develop innovative ways to understand water processes and water balance in the landscape. We use a range of models to estimate changes in factors such as rainfall, soil moisture and land use to simulate their effects on water quantity including flooding, quality and aquatic ecology. This information is important for water and land management, especially as we face a changing climate. ​

We specialise in predicting hydrological variables and ecosystem outcomes, through modelling land surface cycles such as water, carbon and energy up to continental scales. These models are developed through machine-learning methods based on data, or based on our understanding of physical processes in the landscape, such as percolation of moisture through the soil. ​

We develop new modelling methods to meet specific purposes and address knowledge gaps and uncertainty. We also advise our partners on using existing modelling approaches, software and data products to help them achieve more robust outcomes, supported for example by uncertainty and sensitivity analysis.​

Capabilities​

• Mathematical modelling​
• Land surface hydrology​
• Land surface modelling​
• Satellite time series analysis​
• Data assimilation​
• Model-data fusion​
• Process understanding​
• Uncertainty assessment and management​