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Streamflow Forecasting. Dr. Casey Brown University of Massachusetts. Short-Term and Long-Term Forecasting. Short–Term Forecasting Predict flows throughout basin on a weekly time step Source of Information: Antecedent basin conditions and weather forecast Long-Term Forecasting
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Streamflow Forecasting Dr. Casey Brown University of Massachusetts
Short-Term and Long-Term Forecasting • Short–Term Forecasting • Predict flows throughout basin on a weekly time step • Source of Information: Antecedent basin conditions and weather forecast • Long-Term Forecasting • Predict seasonal flow regimes 3-6 months ahead of time • Source of Information: Climate teleconnections • Used to determine which years are strong candidates to meet inter-annual eco-targets
Long-Term Forecasting Methodology • Characterize the influence of basin characteristics (e.g., snow) and climate influences (e.g., NAO) on CT River streamflow • Develop probabilistic forecasts of streamflow at long lead times (3 – 6 months) • Use the “tilt of the odds” to assess conditions for achieving multiple basin objectives
Previous studies have found influence of North Atlantic Oscillation
Example: Long-Term Forecasting Application Predict Shape of Tradeoff Climate in Previous Season Better opportunities for meeting eco-targets Less opportunity for meeting eco-targets
Short-Term Forecasting Use Weekly Streamflow Forecasts Simulation Model Optimization Model Short-Term System Performance Under Standard Operations Operator Judgment Short-Term System Performance Under Optimal Operations Plan for weekly operations
Short-Term Forecasting Methodology METEOROLOGICAL FORECASTS STREAMFLOW FORECASTS AT SYE INDEX SITES HYDROLOGY MODELS OF SYE INDEX SITES SYE ESTIMATION METHOD STREAMFLOW FORECASTS AT ANY LOCATION IN THE BASIN!