Swat-CUP
SWAT-CUP (SWAT Calibration and Uncertainty Procedures) is a program designed to integrate various calibration/uncertainty analysis programs for SWAT (Soil & Water Assessment Tool) using the same interface. Currently the program can run SUFI2 (Abbaspour et al., 2007), GLUE (Beven and Binley, 1992), and ParaSol (van Griensven and Meixner, 2006). To create a project, the program guides the user through the input files necessary for running a calibration program. Each SWAT-CUP project contains one calibration method and allows user to run the procedure many times until convergence is reached. User can save calibration iterations in the iteration history for later use. Also we have made it possible to create charts of observed and simulated data and the predicted uncertainty about them.
Targets
- Integrate various calibration/uncertainty analysis procedures for SWAT in one user interface and visualize the results.
- Make the calibrating procedure easy to use for students and professional users of SWAT.
- Make the learning of the programs easier for beginners.
- Provide a faster way to do the time-consuming calibration operations and standardize calibration steps.
- Add extra functionalities to calibration operations such as creating graph of calibrated results and data comparison.
User Interface
SWAT-CUP uses an advanced user-friendly interface, similar to the Microsoft Office 2007, with the same UI features. Everything has the same standard as Microsoft products, so all users can easily learn and use the program.
Users
As SWAT-CUP is related to SWAT software and has extra functionalities for calibration and uncertainty analysis, SWAT-CUP would be useful for all SWAT users.
SWAT-CUP2 was made possible with contributions from:
- Mahdi Vejdani and Sohail Haghighat of Neprash Company who wrote the SWAT-CUP interface
- Raghvan Srinivasan of Texas A&M University who provided financial support
- Jing Yang of Eawag who initially linked the optimization procedure to SWAT and created the MCMC algorithm as part of his PhD thesis with supervision of Peter Reichert and Karim C. Abbaspour.
References
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