Advancing the cyberinfrastructure for sustaining high resolution, real-time streamflow and flood forecasts at a national scale

Wednesday, 16 December 2015
Poster Hall (Moscone South)
David K Arctur1,2, David R Maidment3, Edward P Clark4, Marcelo A Somos-Valenzuela5 and Fernando R Salas1, (1)University of Texas at Austin, Austin, TX, United States, (2)Open Geospatial Consortium (OGC), Austin, TX, United States, (3)CRWR, Austin, TX, United States, (4)National Weather Service Silver Spring, Silver Spring, MD, United States, (5)University of Massachusetts Amherst, Northeast Climate Science Center, Amherst, MA, United States
In just the last year, it has become feasible to generate and refresh national 15-hour forecasts of streamflow and flood inundation, every hour at high resolution (average 3km stream segments), based on a workflow integrating US National Weather Service forecasts, the WRF-Hydro land surface model, the RAPID streamflow routing model, and other models. This capability has come about through a collaboration of numerous agencies, academic research and data centers, and commercial software vendors. This presentation provides insights and lessons learned for the development and evolution of a scalable architecture for water observations and forecasts that should be sustained operationally.