Course description
This course provides an introduction to the theory and practice of hydrological modelling, including the evaluation of model usefulness and uncertainty.
Upcoming start dates
Outcome / Qualification etc.
On successful completion of this course you will be able to:
- Identify and evaluate the standard types of numerical models in use in hydrology and water-related problems,
- Formulate the generic process of model design, building, calibration and validation,
- Recognise some of the uncertainties introduced in this process,
- Assess the model building process in the context of the system under consideration,
- Construct a hydrological model in a user-friendly environment and use it to assess climate change impacts.
Training Course Content
Core content
- Introduction to the wide range of applications of numerical models to address water-related problems,
- Overview of the types of models applied; mechanistic, semi-empirical and empirical models. Why these different forms exist, and what are their strengths and weaknesses? How are they applied?
- Identifying the selection criteria and rational for a modelling approach,
- Introduction to numerical solutions and empirical solutions to model parameterisation and calibration,
- Recognising limits and uncertainties; validating the model. Recognising the importance of good data.
Course delivery details
This course is delivered via a mixture of lectures and practicals. During this short course, you will be joined by full-time and part-time students from our master's and PhD courses, creating a dynamic and interactive experience.
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Cranfield University
Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology and management. We have many world-class, large-scale facilities, including our own global research airport, which offers a unique environment for transformational education...