Streamflow time series are commonly derived from stage-discharge rating curves, but the uncertainty of the rating curve and resulting streamflow series are poorly understood. While different methods to quantify uncertainty in the stage-discharge relationship exist, there is limited understanding of how uncertainty estimates differ between methods due to different assumptions and methodological choices. We compared uncertainty estimates and stage-discharge rating curves from seven methods at three river locations of varying hydraulic complexity. Comparison of the estimated uncertainties revealed a wide range of estimates, particularly for high and low flows. At the simplest site on the Isère River (France), full width 95% uncertainties for t...
Rainfall-runoff models are usually optimized and tested on the basis of (so called) "observed" rive...
AbstractPredictions of river flow dynamics provide vital information for many aspects of water manag...
This article introduces an improvement in the Series Distance (SD) approach for the improved discrim...
Streamflow time series are commonly derived from stage-discharge rating curves, but theuncertainty of...
HMEM, Durham, New Hampshire, USA, 09-/07/2017 - 12/07/2017International audienceStage-discharge rati...
Common streamflow gauging procedures require assumptions about the stage-discharge relationship (the...
Discharge time series' are one of the core data sets used in hydrological investigations. Errors in ...
Streamflow data are used for important environmental and economic decisions, such asspecifying and re...
Benchmarking the quality of river discharge data and understanding its information content for hydro...
International audienceStreamflow time series provide baseline data for many hydrological investigati...
Uncertainty in discharge data must be critically assessed before data can be used in, e. g. water re...
Establishing a reliable stage-discharge (SD) rating curve for calculating discharge at a hydrologica...
none3noThis study considers the overall uncertainty affecting river flow measurements and proposes ...
[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAUInternational audienceQuantifying the uncertainty of stre...
Predictions of river flow dynamics provide vital information for many aspects of water management in...
Rainfall-runoff models are usually optimized and tested on the basis of (so called) "observed" rive...
AbstractPredictions of river flow dynamics provide vital information for many aspects of water manag...
This article introduces an improvement in the Series Distance (SD) approach for the improved discrim...
Streamflow time series are commonly derived from stage-discharge rating curves, but theuncertainty of...
HMEM, Durham, New Hampshire, USA, 09-/07/2017 - 12/07/2017International audienceStage-discharge rati...
Common streamflow gauging procedures require assumptions about the stage-discharge relationship (the...
Discharge time series' are one of the core data sets used in hydrological investigations. Errors in ...
Streamflow data are used for important environmental and economic decisions, such asspecifying and re...
Benchmarking the quality of river discharge data and understanding its information content for hydro...
International audienceStreamflow time series provide baseline data for many hydrological investigati...
Uncertainty in discharge data must be critically assessed before data can be used in, e. g. water re...
Establishing a reliable stage-discharge (SD) rating curve for calculating discharge at a hydrologica...
none3noThis study considers the overall uncertainty affecting river flow measurements and proposes ...
[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAUInternational audienceQuantifying the uncertainty of stre...
Predictions of river flow dynamics provide vital information for many aspects of water management in...
Rainfall-runoff models are usually optimized and tested on the basis of (so called) "observed" rive...
AbstractPredictions of river flow dynamics provide vital information for many aspects of water manag...
This article introduces an improvement in the Series Distance (SD) approach for the improved discrim...