Coupling Climates and Hydrological Models
Understanding regional-scale water resource systems requires understanding coupled hy- drologic and climate interactions. The traditional approach in the hydrologic sciences has been to either treat the atmosphere as a forcing condition on the hydrologic model, or to adopt a speci c hydrologic model design speci cally to be interoperable with climate simulation models. We propose here a di erent approach that follows a service-oriented architecture where models are loosely coupled through Web Services. A unique challenge of this work is the coupling of a High Performance Computing (HPC) climate model with a Personal Computer (PC)-based hydrologic model and overcoming the issues with security and job scheduling. We present our proposed approach for overcoming these challenges as well as a scaling analysis conducted to quantify potential computational bottlenecks when scaling up this application to larger watersheds and geographic regions where climate impacts on watershed hydrology can be e ectively simulated. The result of this work is an application that demonstrates interoperability across disciplinary boundaries (climate and watershed models) to be used to address emerging questions about climate impacts on local water resource systems
