Ahmed Sheba
University of Pittsburgh
| Subject Areas: | Stochastic surface hydrology,Stochastic subsurface hydrology,Vadose zone hydrology,Diagnostic analysis of hydrologic models |
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ABSTRACT:
This document serves as a comprehensive resource for the Python 3 version of CyberWater, a modern framework designed to execute a variety of computational hydrological models.
It provides all essential components—such as raw forcing data files, parameter files, initial state files, and executable programs—required to run several advanced models within the CyberWater framework. These models include VIC4, VIC5, DHSVM, Routing, the One-Layer Water Balance model, the Iowa model, and others.
Overall, this document is intended to support an efficient and user-friendly experience for both professionals and learners in hydrological modeling, offering a robust toolset for a wide range of water-related computational analyses.
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Created: Dec. 6, 2025, 3:27 p.m.
Authors: Sheba, Ahmed · Aly, Sherif
ABSTRACT:
This document serves as a comprehensive resource for the Python 3 version of CyberWater, a modern framework designed to execute a variety of computational hydrological models.
It provides all essential components—such as raw forcing data files, parameter files, initial state files, and executable programs—required to run several advanced models within the CyberWater framework. These models include VIC4, VIC5, DHSVM, Routing, the One-Layer Water Balance model, the Iowa model, and others.
Overall, this document is intended to support an efficient and user-friendly experience for both professionals and learners in hydrological modeling, offering a robust toolset for a wide range of water-related computational analyses.