Informing Hydrometric Network Design for Statistical Seasonal Streamflow Forecasts
نویسندگان
چکیده
منابع مشابه
Ocean Initialization for Seasonal Forecasts
The potential for climate predictability at seasonal time scales resides in information provided by the ocean initial conditions, in particular the upper thermal structure. Currently, several operational centres issue routine seasonal forecasts produced with coupled ocean-atmosphere models, requiring real-time knowledge of the state of the global ocean. Seasonal forecasting needs the calibratio...
متن کاملClimate informed monthly streamflow forecasts for the Brazilian hydropower network using a periodic ridge regression model
In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: s u m m a r y Streamflow simulation and forecasts have been widely used in water resources management, particularly for floo...
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...
متن کاملEvaluation 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...
متن کاملNeural network streamflow forecasting
Classification of heterogeneous precipitation fields for the assessment and possible improvement of lumped neural network models for streamflow forecasts N. Lauzon, F. Anctil, and C. W. Baxter Golder Associates, Calgary, Canada Département de génie civil, Pavillon Pouliot, Université Laval, Québec, G1K 7P4, Canada HYDRANNT Consulting Inc., Port Coquitlam, Canada Received: 20 December 2005 – Acc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Hydrometeorology
سال: 2013
ISSN: 1525-755X,1525-7541
DOI: 10.1175/jhm-d-12-0136.1