Enabling Real-time Water Decision Support Services Using Model as a Service

Tingting Zhao1, Barbara E Minsker2, Jong Sung Lee1, Fernando Renzo Salas3, David R Maidment4 and Cedric H David5, (1)Univ Illinois Urbana-Champaign, Urbana, IL, United States, (2)Univ Illinois Urbana-Champaign, Dallas, United States, (3)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (4)CRWR, Austin, United States, (5)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Abstract:
Through application of computational methods and an integrated information system, data and river modeling services can help researchers and decision makers more rapidly understand river conditions under alternative scenarios. To enable this capability, workflows (i.e., analysis and model steps) are created and published as Web services delivered through an internet browser, including model inputs, a published workflow service, and visualized outputs. The RAPID model, which is a river routing model developed at University of Texas Austin for parallel computation of river discharge, has been implemented as a workflow and published as a Web application. This allows non-technical users to remotely execute the model and visualize results as a service through a simple Web interface. The model service and Web application has been prototyped in the San Antonio and Guadalupe River Basin in Texas, with input from university and agency partners. In the future, optimization model workflows will be developed to link with the RAPID model workflow to provide real-time water allocation decision support services.