Climate Data Analysis, CEE 274 (Graduate)
Watershed Modeling, CEE 173 & CEE 273 (Undergraduate & Graduate)
Hydrology, CEE 176 & CEE 276 (Undergraduate & Graduate)
Civil Engineering Practicum II, CEE 81B (Undergraduate)
Introduction to Surveying, CEE 195 (Undergraduate)
Copulas in Hydrology and Climate, IAHS Short course, 2014 View Website
The HBV_Ensemble model simulates an ensemble of simulated streamflows based on randomly selected parameters that satisfy a certain objective function (e.g., Nash-Sutcliffe Coefficient of 0.7 and above). The model concept is similar to HBV-EDU.
HBV-EDU is a hands-on modeling tool developed for students in civil engineering and earth science disciplines to help them learn the fundamentals of hydrologic processes, model calibration and sensitivity analysis. This modeling tool aims to provide an application-oriented learning environment that introduces the hydrologic phenomena through the use of a simplified conceptual hydrologic model. Using HBV-EDU, students can practice conceptual thinking in solving and analysis of engineering problems.
AghaKouchak A., Habib E., 2010, Application of a Conceptual Hydrologic Model in Teaching Hydrologic Processes, International Journal of Engineering Education, 26(4), 963-973.
AghaKouchak A., Nakhjiri N., and Habib E., 2013, An educational model for ensemble streamflow simulation and uncertainty analysis, Hydrology and Earth System Sciences, 17, 445-452, doi:10.5194/hess-17-445-2013.
Please feel free to use these toolboxes for educational purposes. Commercial use of these hands-on tools are strictly prohibited.
Disclaimer: This program (hereafter, software) is designed for instructional and educational use only. Commercial use is strictly prohibited. The software is provided 'as is' without warranty of any kind, either express or implied. The software could include technical or other mistakes, inaccuracies or typographical errors. The use of the software is done at your own discretion and risk and with agreement that you will be solely responsible for any damage and that the authors and their affiliate institutions accept no responsibility for errors or omissions in the software or documentation. In no event shall the authors or their affiliate institutions be liable to you or any third parties for any special, indirect or consequential damages of any kind, or any damages whatsoever.
Acknowledgment: We would like to acknowledge the contribution of Navid Nakhjiri (graduate research assistant at the University of California Irvine) and Naveen Duggi (graduate research assistant at the University of Louisiana at Lafayette) in development of the model. We are grateful to many colleagues and graduate students who offered valuable comments and suggestions for improvements. These individuals include Leonardo Valerio Noto, Ali Mehran, Jeff Tuhtan, Nasrin Nasrollahi, Mehdi Rezaeian Zadeh, Naveen Duggi and Mehdi Javadian. I offer special thanks to students of Watershed Modeling class (University of California, Irvine) who participated in a survey on their learning gains. I apologize to those whose names unintentionally might have been omitted.