Numerical Weather Prediction

Module Provider: Meteorology
Number of credits: 10 [5 ECTS credits]
Level:6
Terms in which taught: Spring term module
Pre-requisites: MT24C Numerical Methods for Environmental Science
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Module version for: 2016/7

Summary module description:
In this module we will examine the components that make up a numerical weather forecast.

Aims:
The aim of this module is to develop an understanding of the methods used in numerical models for operational weather prediction, climate simulation, and climate change prediction.

Assessable learning outcomes:
By the end of this module the student should be able to: Understand and discuss in some detail all the components of a numerical weather forecast including data assimilation and initialization, numerical implementation, parameterizations, uncertainty.

Additional outcomes:
The student will also develop an understanding and appreciation of some basic dynamical systems theory as applied to weather prediction. In the practicals the students will further develop their programming skills and their skill in experimenting with a more complex model.

Outline content:
History of weather forecasting
Equations of motion
Finite difference discretisation of partial differential equations
The barotropic vorticity equation
Other numerical techniques for pde?s
Parametrisation in NWP models
Data assimilation and initialization
Chaos and uncertainty: dynamical systems, predictability and ensembles

Brief description of teaching and learning methods:
Theory is presented in two interactive 50 minute lectures per week. In a computing practical students will enhance programming skills and reinforce the theory they have learned through its practical application.

Contact hours:
Lectures- 18
Practicals classes and workshops- 2
Guided independent study- 80
Total hours by term- 100
Total hours for module- 100

Summative Assessment Methods:
Written assignment including essay- 50%
Class test administered by School- 50%

Other information on summative assessment:
One report based on a published research paper and a multiple choice test.

Formative assessment methods:
Immediate feedback on class exercises.

Length of examination:
1 hour

Requirements for a pass:
A mark of 40% overall.

Reassessment arrangements:
Re-examination in August/September only. An additional report based on a published research paper