AbstractStudy regionThis paper describes a major ensemble-forecasts verification effort for inflows of three large-scale river basins of Brazil: Upper São Francisco, Doce, and Tocantins Rivers.Study focusIn experimental scenarios, inflow forecasts were generated forcing one hydrological model with quantitative precipitation forecasts (QPF) from three selected models of the TIGGE database. This study provides information on the regional ensemble performance and also evaluates how different QPF models respond for the different basins and what happens with the use of combined QPF in a greater ensemble.New hydrological insights for the regionThis work presents one of the first extensive efforts to evaluate ensemble forecasts for large-scale bas...
International audienceAdvances in meso-scale numerical weather predication make it possible to provi...
Ensemble hydrometeorological forecasting has great potential for improving flood predictions and use...
This paper investigates the uncertainties in hourly streamflow ensemble forecasts for an extreme hyd...
Study region This paper describes a major ensemble-forecasts verification effort for inflows of thre...
Quantitative precipitation forecasts (QPFs) were obtained from ensembles of the weather and research...
The use of ensemble forecasts in operational rainfall and flood forecasting systems is rapidly incre...
SummaryThis paper evaluates how post-processing can enhance raw precipitation forecasts made by diff...
This paper describes the process of analysis and verification of ensemble inflow forecasts to the mu...
Forecasts of inflow into major reservoirs of the Brazilian hydroelectric power system are needed for...
Operational rainfall and flood forecasting systems across the world are increasingly using ensemble ...
As part of a research project to improve flow forecasts for the operation and planningof Brazilian h...
Summarization: Accurate and reliable flow forecasting in complex Canadian prairie watersheds has bee...
An uncertainty cascade model applied to stream flow forecasting seeks to evaluate the different sour...
This dissertation presents a reliable probabilistic forecasting system designed to predict inflows t...
Probabilistic hydrological forecasting and ensemble techniques have leveraged streamflow prediction ...
International audienceAdvances in meso-scale numerical weather predication make it possible to provi...
Ensemble hydrometeorological forecasting has great potential for improving flood predictions and use...
This paper investigates the uncertainties in hourly streamflow ensemble forecasts for an extreme hyd...
Study region This paper describes a major ensemble-forecasts verification effort for inflows of thre...
Quantitative precipitation forecasts (QPFs) were obtained from ensembles of the weather and research...
The use of ensemble forecasts in operational rainfall and flood forecasting systems is rapidly incre...
SummaryThis paper evaluates how post-processing can enhance raw precipitation forecasts made by diff...
This paper describes the process of analysis and verification of ensemble inflow forecasts to the mu...
Forecasts of inflow into major reservoirs of the Brazilian hydroelectric power system are needed for...
Operational rainfall and flood forecasting systems across the world are increasingly using ensemble ...
As part of a research project to improve flow forecasts for the operation and planningof Brazilian h...
Summarization: Accurate and reliable flow forecasting in complex Canadian prairie watersheds has bee...
An uncertainty cascade model applied to stream flow forecasting seeks to evaluate the different sour...
This dissertation presents a reliable probabilistic forecasting system designed to predict inflows t...
Probabilistic hydrological forecasting and ensemble techniques have leveraged streamflow prediction ...
International audienceAdvances in meso-scale numerical weather predication make it possible to provi...
Ensemble hydrometeorological forecasting has great potential for improving flood predictions and use...
This paper investigates the uncertainties in hourly streamflow ensemble forecasts for an extreme hyd...