Faculty of Science, Agriculture & Engineering

Short Courses (CPD)

Short Courses (CPD)

About the Course

Modelling and Forecasting of Floods

  • Monday 19 - Friday 23 February 2018

This course introduces the current theory and practice of flood risk estimation, modelling, and forecasting, and gives you hands-on practice with industrial standard software.

The course provides a consideration of different frameworks for flood estimation and modelling, from statistical to simulation, from data driven to physically based modelling, and puts them in the wider context of flood risk management.

You'll learn how to use industry standard flood estimation and modelling techniques, and you'll also learn principles and current practices of real time flood forecasting and warning (RTFFW).

Accredited by:
Accredited by Chartered Institution of Water and Environmental Management Modelling and Forecasting of Floods accredited by Chartered Institution of Water and Environmental Management

Objectives and Outline

Modelling and Forecasting of Floods

Course Objectives

By the time you've finished the course, you'll have an understanding of:

  • current modelling and statistical approaches to flood risk estimation and modelling, and have practical experience of using these approaches
  • the range of different approaches used in flood modelling and forecasting
  • the benefits and limitations of the use of numerical models in flood modelling and forecasting
  • the current practices of real time flood forecasting and warning (RTFFW)

You'll be able to:

  • competently apply current methods for flood risk estimation in basic cases
  • choose, build, and run models for flood estimation
  • prioritise modelling approaches used in RTFFW

Course Outline

  • FEH (Flood Estimation Handbook): a statistical approach to Flood Hazard Estimation.
  • Flood modelling: 1D, 2D.
  • Use of Noah1D and CityCat software.
  • Rainfall forecasting: rainfall, radar, models.
  • NFFS: the EA National Flood Forecasting System.
  • Joint Environment Agency and Met Office Flood Forecasting Centre for England and Wales.
  • The Morpeth flood: physical and emergency response aspects.
  • Predictive uncertainty and its use to improve decision making.
  • Data assimilation.
  • Virtual flood: A simulated flood event and warning response exercise.
  • Coastal flooding: storm surge and tsunami.
Accredited by:
Accredited by Chartered Institution of Water and Environmental Management Modelling and Forecasting of Floods accredited by Chartered Institution of Water and Environmental Management
  • Monday 19 - Friday 23 February 2018

Further Information

Modelling and Forecasting of Floods

Academic Module Outline

This course is also delivered as a Module (code CEG8523) on at least one of the Faculty's Masters programmes, the majority of which can be studied part time, making them suitable for those in employment. You will attend with full and part time registered students. The Academic Module Outline is available via the University's Module Catalogue.

Update to Course Content

Please note that our courses are reviewed regularly, both in response to feedback and so that information about recent research and developments can be included. Thus, content may be subject to change.

Presenters

Modelling and Forecasting of Floods

Presenters

Newcastle University
  • Prof Chris Kilsby (Course Leader)
  • Dr James Bathurst
  • Prof Qiuhua Liang
  • Prof Enda O'Connell
  • Dr Greg O'Donnell
Industry Professionals
  • To be confirmed

Fees

Modelling and Forecasting of Floods

Fees

  • Modelling and Forecasting of Floods
    • £1325

We offer a 30 percent discount to full time students and to Newcastle University staff.

The course fee includes tuition, course materials, lunch and refreshments.

[ Information about Cancellations ]

Formal assessment may be available for this Course. Assessment attracts an additional fee of £365, and delegates will be issued with a transcript and Certificate of Credit Achieved. Owing to visa restrictions the assessment option is not available to international students outside the European Economic Area (EEA).