A data acquisition framework for runoff prediction in ungauged basins - Runoff Prediction in Ungauged Basins: Synthesis across Processes, Places and Scales - page 52

and play important roles in the data acquisition strategy.
The relative strength of different hydrological processes
and dominant runoff generation mechanism are not
easily inferred from topography, remote sensing and
conventional hydro-meteorological data alone. Field
visits allow for comparison of similar gauged catch-
ments or heavily researched and more completely under-
stood catchments,

hydrological data collection. While the hydrological com-
munity has access to large data sets of unprecedented
quality over large scales, e.g., remotely sensed data from
satellites, the collection of more conventional data at small
scales has suffered. There is a need to increase the aware-
ness of the value of such data, especially the gauging of
dynamic hydrological variables in strategic locations and
in a transferable manner, and demonstrate the value of
targeted gauging of currently inadequate or non-existent
data sources by quantifying the links between increased
'

thereby allowing transfer of the

relevant information.

As modelling and methodological power has increased
there has been a reduction in ' data power ' ,particularlyin data power ' and improved model predictions.