Streamflow Prediction Tool 1.1.0¶
The Streamflow Prediction Tool provides 15-day streamflow predicted estimates by using the European Center for Medium Range Weather Forecasts (ecmwf.int) runoff predictions routed with the RAPID (rapid-hub.org) program. The connection between the predicted and hindcasted runoff are generated with GIS tools both from Esri as well as from open source contributions. Return period estimates and warning flags aid in determining the severity.
The Streamflow Prediction Tool was the result of a collaboration between:
- Brigham Young University
- The European Centre for Medium Range Weather Forecasts
- NASA’s Jet Propulsion Laboratory
The Streamflow Prediction Tool was developed at Brigham Young University with support from the National Science Foundation (NSF) under Grant No. 1135483. The Streamflow Prediction Tool is part of a larger effort known as CI-Water (http://ci-water.org). The purpose of CI-Water is to develop cyber infrastructure for water resources decision support.
Currently, the Streamflow Prediction Tool is being developed and maintained by the U.S. Army Engineer Research and Development Center.
Snow, Alan D., Scott D. Christensen, Nathan R. Swain, E. James Nelson, Daniel P. Ames, Norman L. Jones, Deng Ding, Nawajish S. Noman, Cedric H. David, Florian Pappenberger, and Ervin Zsoter, 2016. A High-Resolution National-Scale Hydrologic Forecast System from a Global Ensemble Land Surface Model. Journal of the American Water Resources Association (JAWRA) 1-15, DOI: 10.1111/1752-1688.12434. http://onlinelibrary.wiley.com/doi/10.1111/1752-1688.12434/abstract
Snow, Alan Dee, “A New Global Forecasting Model to Produce High-Resolution Stream Forecasts” (2015). All Theses and Dissertations. Paper 5272. http://scholarsarchive.byu.edu/etd/5272
- Setup: Stream Network Generation
- Setup: ECMWF-RAPID Input Generation
- Setup: Historical Land Surface Model Process
- Setup: Forecast Framework
- Setup: Web Application
- SPT REST API