This review and commentary sets out the need for authoritative and concise information on
the expected error distributions and magnitudes in observational data. We discuss the …

This study proposes a framework for analysing and quantifying the uncertainty of river flow
data. Such uncertainty is often considered to be negligible with respect to other …

In this study, the GLUE methodology is applied to establish the sensitivity of flood inundation
predictions to uncertainty of the upstream boundary condition and bridges within the …

Rivers act as a source of fresh water for terrestrial life, yet the discharges are poorly
documented since the existing direct observations are inadequate and some observation …

This study considers the overall uncertainty affecting river flow measurements and proposes
a framework for analysing the uncertainty of rating-curves and its effects on the calibration of …

Uncertainty in discharge data must be critically assessed before data can be used in, eg
water resources estimation or hydrological modelling. In the alluvial Choluteca River in …

This paper illustrates the importance of taking into account the potential errors in discharge
estimation in the assessment of extreme floods. First, a summary of the main difficulties …

Several hydrological studies have shown that river discharge records are affected by
significant uncertainty. This uncertainty is expected to be very high for river flow data referred …

Discharge time series' are one of the core data sets used in hydrological investigations.
Errors in the data mainly occur through uncertainty in gauging (measurement uncertainty) …

Establishing streamflow time series in unstable rivers is challenged by changes in the stage‐
discharge relation after floods. Then, the field hydrologist must develop a new stage …