1. HydroModeler: A tool for modeling within the CUAHSI Hydrologic Information System Jon Goodall, Assistant Professor Tony Castronova, Ph.D. Candidate Mostafa Elag, Ph.D. Candidate Ben Felton, B.S. Student Robert Boykin, B.S. Student Department of Civil and Environmental Engineering University of South Carolina CUAHSI Conference on Hydrologic Data and Information Systems Utah State University - June 22-24, 2011

2. Data Discovery and Integration Data Publication Data Analysis and Synthesis HydroCatalog HydroDesktopHydroServer ODMGeo Data CUAHSI Hydrologic Information System Services-Oriented Architecture Data Services Metadata Services Search Services WaterML, Other OGC Standards Information Model and Community Support Infrastructure HydroModeler

3. Research Objectives – To investigate the interface between HIS and hydrologic models – To create a tool that can be used to support hydrologic science and education

4. Challenges – “there is no commonly agreed modelling strategy for the rainfall-runoff process but a variety of options and approaches” – “it is expected that one hydrologist’s perceptual model will differ from another’s” – “I gave up making a list of model when I reached a count of 100 more than 20 years ago” Rainfall-Runoff Modeling: The Primer, Beven, 2001

5. Our Approach – Focus on a modeling framework instead of individual models – Integrate the modeling framework within HIS – Lower the bar to entry for hydrologists to use and extend the modeling framework

6. HydroModeler GUI Model Directory Explorer Model Attributes Model Configuration

7. Open Modeling Interface “The OpenMI provides a standard interface, which allows models to exchange data with each other and other modelling tools on a time step by time step basis as they run.” --openmi.org Metadata www.openmi.org

8. The Architecture of a Model Component Supporting Libraries Initialize PerformTimeStep Finish config.xml Input and Output Exchange Items, Time horizon and step, etc. OpenMI Interface Data Procedural Model Procedural Model CSDMS Interface Simple Model Wrapper Web Service Interface

9. Key Advantages of Componentization – subdivide a complicated task into a set of smaller, more manageable tasks – minimal restrictions on each component – only interfaces are standardized – Potential to maintain multiple interfaces for the same core model engine (i.e., support multiple modeling frameworks)

10. Example Application – Modeling rainfall/runoff for Coweeta Watershed #18 – HIS Server includes publically available Coweeta data Precipitation: daily accumulated Air temp: daily min, max, and mean Stream discharge: daily average Coweeta HIS Server http://river.sdsc.edu/WaterOneFlow/Coweeta/ cuahsi_1_1.asmx?WSDL

11. Coweeta Watershed #18 Watershed #18 Area: 12.48 ha (0.12 km 2 ) 650m by 300 m

12. The Perceptual Model: deciding on the processes The Conceptual Model: deciding on the equations The Procedural Model: getting the code to run on a computer Model Calibration: getting values of parameters Model Validation: good idea but difficult in practice Declare Success? Declare Success? Revise perceptions Revise equations Debug code Revise parameter values No Yes Rainfall-Runoff Modeling: The Primer, Beven, 2001 Background: Steps in the Hydrologic Modeling Process

13. Perceptual Model What processes do I think will be dominate for this watershed and my specific study objectives?

14. Conceptual Model Rainfall – Runoff: TOPMODEL (due to my perception about dominate runoff generation processes) ET: Hargreaves (due to data availability) – Assume PET = ET for first model run What mathematical representation should we use to model the dominate processes?

15. Procedural Model Implement components – Hargreaves – TOPMODEL Link components into a model Include data exchange with HydroDesktop How can we construct an accurate, well tested procedural model that can be understood and shared with others?

16. Model Calibration – Edit component parameters from GUI – Save output as new “Method” (ODM terminology) – Automated calibration possible in the future What should the model parameters be?

17. Model Validation/Evaluation How did we do? (If not well, can we easily change assumptions from each of the previous steps to see impact on results?) Visual inspection using HydroDesktop Graph View Compare different scenario runs to observed data Export data as CSV for further analysis in preferred software system Calculation of performance metrics from within HydroDesktop possible in the future

18. Models as Web Services – Climate model as a service for use in hydrologic models – Web Processing Services (WPS) that is wrapped as OpenMI component on client side Collaboration with NOAA/ESMF team (Cecelia DeLuca et al.) and Ricky Rood. University of Michigan, Hydro Model

19. Modeling Large, Complex Hydrologic Systems Collaboration with Marty Humphrey, UVA HPC Cluster Azure Compute Instances Azure Compute Proxies User creates model on desktop and submits to calibration tool Job schedule determines if jobs should be run on a local HPC cluster to the cloud (Azure) Cloud

20. Open Development Model The HydroDesktop Codeplex site includes all source code for HydroModeler and a growing set of model components. We welcome the help of others in the development effort. www.hydrodesktop.org

21. Summary HydroModeler is a framework for linking models and data to support hydrologic education and research. Componentization is important for hydrologic modeling because there is “no commonly agreed modelling strategy for the rainfall-runoff process but a variety of options and approaches” Open Development is critical for future success of any modeling system because it will rely on the contribution of individuals and groups interested in sharing codes and ideas

22. Acknowledgments: HIS Project Team and Sponsors University of Texas at Austin – David Maidment, Tim Whiteaker, James Seppi, Fernando Salas, Jingqi Dong, Harish Sangireddy San Diego Supercomputer Center – Ilya Zaslavsky, David Valentine, Tom Whitenack, Matt Rodriguez Utah State University – Jeff Horsburgh, Kim Schreuders, Stephanie Reeder, Edward Wai Tsui, Ravichand Vegiraju, Ketan Patil University of South Carolina – Jon Goodall, Anthony Castronova, Mostafa Elag, Ben Felton, Robert Boykin, Sharni Fuller Idaho State University – Dan Ames, Ted Dunsford, Jiří Kadlec, Yang Cao, Dinesh Grover Drexel University/CUNY – Michael Piasecki WATERS Network – Testbed Data Managers CUAHSI Program Office – Rick Hooper, Yoori Choi, Conrad Matiuk ESRI – Dean Djokic, Zichuan Ye Support: EAR 0622374 CBET 0846244 CUAHSI HIS Sharing hydrologic data http://his.cuahsi.org/

23. HydroModeler Workshops – Today from 3:30-5 PM: Using HydroModeler how to create and execute the Coweeta example – Friday 8-9:30 AM: Developing HydroModeler Components how to create the Hargreaves component from start to finish – One-on-one help: Thursday from 3:30-5PM – If you are not able to attend the workshop, you can still work through the tutorials which are available in the HydroModeler help documentation – Questions? Jon Goodall goodall@cec.sc.edu

25. Design Goals Key design goals of HydroModeler are – (1) Enable code reuse and easily shared models – (2) Adopt existing standards when possible – (2) Leverage HydroDesktop’s visualization and data management capabilities.

26. Component Communication Protocol Model A Model B Model A is dependent on and output produced by Model B Exchange Item Models maintain their own “world view” Models exchange data on each time step GetValues()