Comparison of Precipitation and Streamflow Correcting for Ensemble Streamflow Forecasts
نویسندگان
چکیده
منابع مشابه
Evaluation of bias-correction methods for ensemble streamflow volume forecasts
Ensemble prediction systems are used operationally to make probabilistic streamflow forecasts for seasonal time scales. However, hydrological models used for ensemble streamflow prediction often have simulation biases that degrade forecast quality and limit the operational usefulness of the forecasts. This study evaluates three biascorrection methods for ensemble streamflow volume forecasts. Al...
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Stochastic simulation and forecasting of hydroclimatic processes, such as precipitation and streamflow, are vital tools for risk-based management of water resources systems. Stochastic hydrology has a long and rich history in this area. The traditional approaches have been based on mathematical models with assumed or derived structure representing the underlying mechanisms and processes involve...
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The quality of precipitation forecasts from four Numerical Weather Prediction (NWP) models is evaluated over the Ovens catchment in Southeast Australia. Precipitation forecasts are compared with observed precipitation at point and catchment scales and at different temporal resolutions. The four models evaluated are the Australian Community Climate Earth-System Simulator (ACCESS) including ACCES...
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Water managers throughout the Western U.S. depend on seasonal forecasts to assist with operations and planning. In this study, we develop a seasonal forecasting model to aid water resources decision-making in the Truckee-Carson River System. We analyze large-scale climate information that has a direct impact on our basin of interest to develop predictors to spring runoff. The predictors are sno...
متن کاملEvaluation of bias-correction methods for streamflow forecasts
Evaluation of bias-correction methods for ensemble streamflow volume forecasts T. Hashino, A. A. Bradley, and S. S. Schwartz University of Wisconsin, Department of Atmospheric and Ocean Sciences, Madison, Wisconsin, USA The University of Iowa, IIHR – Hydroscience & Engineering, Iowa City, Iowa, USA Center for Urban Environmental Research and Education, UMBC, Baltimore, Maryland, USA Received: 1...
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ژورنال
عنوان ژورنال: Water
سال: 2018
ISSN: 2073-4441
DOI: 10.3390/w10020177