Improving model-data interaction in hydrogeology: Insights from different disciplines

Computer simulation models are playing an increasing role in decision making processes in hydrogeology, and the new models that are emerging are more sophisticated than ever. The mounting sophistication of models has brought with it the challenge of estimating more input parameters and more detailed model structures, from data that is often imperfect (i.e. subject to uncertainty, imprecision and granularity), and heterogeneous (i.e. consisting of quantitatively and qualitatively dissimilar data). The past decade has also seen significant progress in technologies that enable the collection, transfer and storage of hydrogeologic data. These technologies, which include new measurement devices, remote sensing tools, wireless communication networks, storage hardware, data processing software, etc., have led to a massive surge in data quantity and a vast diversification of data types.