International Issues

Oral

397493 - Using Global Hydrometeorologic Forecasts as a Boundary Condition for Two-Dimensional HEC-RAS Modeling in Data Sparse Environments

Tuesday, June 5
8:30 AM - 10:00 AM
Location: Lake Superior B
Co-Authors: Mark Wahl, US Army Engineer Research and Development Center – Coastal and Hydraulics Laboratory Matthew P. Geheran; Matthew W. Farthing; Michael L. Follum;

Recent advances by the US Army Engineer Research and Development Center (ERDC) have made possible the ability to forecast streamflow at near global scales in fine scale spatial resolution. This new tool, the Streamflow Prediction Tool (SPT), takes 15-day European Center for Medium Range Weather Forecasts (ECMWF) runoff forecasts and calculates streamflow using the Routing Application for Parallel Computation of Discharge (RAPID) hydrologic routing model. The SPT streamflow product is useful in calculating inundation at large spatial scales using the Manning’s Equation model AutoRoute. The SPT can also provide boundary conditions for the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) model in order to provide high fidelity answers in a specific area of interest to the user. This presentation provides an overview of how ERDC researchers have began linking SPT outputs to the US Army Corps of Engineers Hydrologic Engineering Center River Analysis System (HEC-RAS) Version 5. The linkage allows ERDC to perform high fidelity, two-dimensional hydraulic forecasting at nearly any location in the world. The linkage relies upon the availability of high-resolution, global digital elevation models (DEMs). Bathymetry is then calculated for these regions using global hydraulic geometry concepts. The authors demonstrate this approach with a case-study example in a data sparse region of the world.

Joseph Lee. Gutenson, PhD

Research Civil Engineer
US Army Engineer Research and Development Center

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397493 - Using Global Hydrometeorologic Forecasts as a Boundary Condition for Two-Dimensional HEC-RAS Modeling in Data Sparse Environments



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