Background

Hydrological models are essential tools for understanding and predicting the behavior of water systems in response to various environmental factors, including climate variability and land-use changes. These models can be classified into several types based on different criteria, such as their structure, approach, scale, or level of complexity. Common classifications include lumped, distributed, semi-distributed, physics-based, conceptual, and empirical models. Each model type has its unique advantages and applications: lumped models offer simplicity by averaging properties over a watershed, while distributed models account for spatial variability, providing more detailed results. Physics-based models focus on simulating real physical processes, and empirical models use observed data to derive relationships between different hydrological variables.

The Variable Infiltration Capacity (VIC) model stands as a widely used distributed, semi-physics-based hydrological model particularly well-suited for studying large-scale hydrological systems. VIC’s strength lies in its ability to integrate with grid-based climate data, making it highly relevant for understanding the impacts of climate change on hydrological systems. Unlike lumped models, VIC’s distributed nature allows for detailed spatial representation of the land surface, enabling researchers to assess how changes in climate variables affect specific regions or different parts of a watershed. This capability is crucial for evaluating water availability, flood risks, and other hydrological impacts that are increasingly influenced by climate change.

This workshop is designed to provide participants with an in-depth understanding of the VIC model, focusing not only on its theoretical foundation but also on hands-on sessions to enhance practical skills. Participants will be guided through running and solving real-world hydrological scenarios using the VIC model, gaining valuable experience over the course of five days. The hands-on nature of this training will empower participants to confidently apply the VIC model to their research.