Hydromet Diagram

HDSS

Hydromet Decision Support System provides professional tools and displays designed to aid users in real-time decision-making regarding flash flooding, water resource management, heavy rain events, landslides, and winter snow and ice events.

HDSS can be provided as a custom system or as a cloud-based service. Both options include a customized, intuitive web-based display that integrates your existing hydromet-information (e.g., weather radar data, rain gauge networks, basins and critical flood thresholds) with unique precipitation estimation, run-off analytics, and nowcasting applications.

Hyrdological Modeling

  • Coupled Routing and Excess Storage (CREST) distributed hydrological model, jointly developed by the University of Oklahoma and NASA
  • Uses high resolution Digital Elevation Model (DEM) data for terrain background
  • Forecasts rainfall, runoff generation and cell-to-cell routing
  • Forecasts river and reservoir response to rainfall and runoff
  • Data and products are viewed through a customized web display

Precipitation Products

  • Radar Rainfall (QPE)-250m resolution minimum
  • Optimal Blend of Radar, Rain Gauge, and Satellite
  • Rain, Snow, and Ice Delineation
  • Future Rainfall: 5 min out to 4 hr (QPF)
  • Basin-Averaged and Gridded Data
  • Flash Flood Prediction and Alerts
  • Numerical Weather Prediction rainfall forecasts available 6 hrs out to 72 hrs

Global Precip Measurements

  • Precipitation Estimation from Remote Sensing Information using Artificial Neural Network (PERSIANN)
  • Combines and processes data from multiple geostationary  and low orbit weather satellites
  • Uses sophisticated algorithms to determine global rainfall accumulation amounts
  • Results are produced at a grid resolution of 12km and updated every 6 hours
  • Long-term global precipitation archive available
  • Data and products are viewed through a customized web display

Flash Flood Prediction

Our Flash Flood Prediction Analytics (FFPA) utilizes HDSS-generated QPE and QPF information to automatically alert users which basins may flood in the near future. This information can be used to generate flood warnings, either automatically or with input from meteorologists, which can then be sent to other alerting systems.

 

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