Editorial: Data-based perceptions on Predictions in Ungauged Basins

摘要

Data-based (or top-down) approaches are an important part of improving Predictions in Ungauged Basins (PUB). The top-down approach to model development begins with data representing the key drivers and outputs of the system of interest. The ability to identify an appropriate model structure depends on the availability of suitable data, the quality of and information contained in the data, the ability to make use of the information content, as well as the nature of the system being modelled. While many types of data are becoming more available, a general lack of information on the uncertainty in the data is a shortcoming, as the uncertainty defines the relative significance of the data. Other types of data, for example river gauge networks in some regions, and long-term hydrological experiments, are in decline or in danger of decline. The risks associated with this loss of data are not yet fully recognised.