Intelligent Water Decisions Research Group

The Intelligent Water Decisions Research Group is working to help people make smart decisions about our most precious resource: Water.

Month: April 2017

Practical advice to reduce uncertainty in hydrological predictions

In this article researchers and industry will learn how to reduce uncertainty in hydrological predictions. It presents the recommendations of a recent study published in the Water Resources Research journal [1].

For the first time, we have identified the best error model to use for representing uncertainty in predictions for hydrological modelling applications. So you can use the recommendations most effectively, we begin by explaining the importance of estimating uncertainty in hydrological predictions.

This was an outcome of a long-term collaboration between the University of Adelaide, University of Newcastle and the seasonal streamflow forecasting team at the Bureau of Meteorology.

The long-term goal of this research is to improve streamflow forecasts around Australia (see impact).

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Investigating rainfall models: Why a comprehensive and systematic approach is essential

In this article we take a look at why we need comprehensive and systematic evaluation of rainfall models. We also examine a new model evaluation framework, with examples of the framework in action.

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