SHUD Modeling System

The Simulator for Hydrologic Unstructured Domains (SHUD - pronounced “SHOULD”) is a multi-process, multi-scale integrated hydrological model using the semi-discrete Finite Volume Method.

Spatial strucutre: Unstructed mesh domain — irregulated triangular network. Three vertical layers: land surface, unstructured and saturated layers.

Time-step: Adaptive time-step based on the spatial resolution and slow-fast hydrological processes. The normal time-step ranges from 1 ~ 60 seconds.

The SHUD modeling system is of quick, reproducible and automatic hydrological modeling.

3D Model User Guide

SHUD Source Code

SHUD Modeling System

Meet the team

Principal Investigators


Lele Shu

Ph.D, Associate Professor, PI of SHUD project



Christopher Duffy

Ph.D, Professor of Hydrology


Paul Ullrich

Ph.D, Associate Professor of Atmospheric Science

Recent Publications

From concept to practice to policy: modeling coupled natural and human systems in lake catchments
Recent debate over the scope of the U.S. Clean Water Act underscores the need to develop a robust body of scientific work that defines the connectivity between freshwater systems and people. Coupled natural and human systems (CNHS) modeling is one tool that can be used to study the complex, reciprocal linkages between human actions and ecosystem processes. Well-developed CNHS models exist at a conceptual level, but the mapping of these system representations in practice is limited in capturing these feedbacks. This article presents a paired conceptual-empirical methodology for functionally capturing feedbacks between human and natural systems in freshwater lake catchments, from human actions to the ecosystem and from the ecosystem back to human actions. We address extant challenges in CNHS modeling, which arise from differences in disciplinary approach, model structure, and spatiotemporal resolution, to connect a suite of models. In doing so, we create an integrated, multi-disciplinary tool that captures diverse processes that operate at multiple scales, including land-management decision-making, hydrologic-solute transport, aquatic nutrient cycling, and civic engagement. In this article, we build on this novel framework to advance cross-disciplinary dialogue to move CNHS lake-catchment modeling in a systematic direction and, ultimately, provide a foundation for smart decision-making and policy.
From concept to practice to policy: modeling coupled natural and human systems in lake catchments