HDSS was developed to support decision makers who operationally need to:

• predict flash floods and warn the public
• manage dams, canals, streams, rivers and rain run-off systems on a routine basis and during extreme events
• manage hydro-electric facilities
• forecast river flooding.

The HDSS integrates all available meteorological and hydrological data, including radar, satellite, model, surface, and rain gauge data using a real-time system that includes a suite of state-of the science algorithms.

HDSS consists of the following algorithms and functions:

• Data quality control and building a 3D mosaic of the data
• Quantitative Precipitation Estimation using the QPE-SUMS algorithm from NSSL.
• Quantitative Precipitation Forecasting (QPF) using the McGill Algorithm for Precipitation Nowcasting Using Semi-Lagrangian Extrapolation (MAPLE)
• Flash Flood Prediction Algorithm
• Hydrological Modeling Using V-Flo

WDT will customize and tune the HDSS to meet your operational needs. A custom display is provided that shows all of the data in a 3D framework or in a Web based display.