Modelling the Weather and Climate - 2021 entry
| MODULE TITLE | Modelling the Weather and Climate | CREDIT VALUE | 15 |
|---|---|---|---|
| MODULE CODE | MTHM023 | MODULE CONVENER | Prof Bob Beare (Coordinator) |
| DURATION: TERM | 1 | 2 | 3 |
|---|---|---|---|
| DURATION: WEEKS | 0 | 11 weeks | 0 |
| Number of Students Taking Module (anticipated) | 5 |
|---|
This module introduces you to modelling the weather and climate by providing you with an overview of modern weather and climate computational models. Using hands-on computational case studies, you will explore key aspects of mathematical and computational modelling within a simpler model framework. You will look at one aspect of the climate physics in more detail, and study the predictability of the atmosphere.
Co-requisite Module: MTHM019 Fluid Dynamics of Atmospheres and Oceans, or equivalent
This module will give an introduction to both complex and simple models of weather and climate. Simple models are useful for improving our understanding of the climate system; however, to make detailed predictions requires large and complicated numerical models. In order to have a thorough understanding of the outputs from these models, it is important to have a grounding in the techniques employed.
On successful completion of this module, you should be able to:
Module Specific Skills and Knowledge:
1 Understand the complexity of models of the climate and the split between resolved and unresolved processes;
2 Comprehend in detail the computational modelling of advection and diffusion;
3 Demonstrate expertise in one or more types of modelling of unresolved processes such as the planetary boundary layer;
4 Explore the predictability of the atmosphere;
Discipline Specific Skills and Knowledge:
5 Use computational and mathematical techniques in modelling the climate system;
Personal and Key Transferable/ Employment Skills and Knowledge:
6 Apply mathematical skills to the atmospheric sciences.
We will focus on:
- Simple models of climate change;
- The sensitivity of climate to external influences;
- Interpreting climate model predictions;
- Numerical methods;
- Sub-grid processes.
| Scheduled Learning & Teaching Activities | 33 | Guided Independent Study | 117 | Placement / Study Abroad | 0 |
|---|
| Category | Hours of study time | Description |
| Scheduled Learning and Teaching Activities | 33 | Lectures/example classes |
| Guided Independent Study | 117 | Book work from lectures; study using Reading List; past exam papers; reading relevant research papers. |
| Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
|---|---|---|---|
| Not applicable | |||
| Coursework | 50 | Written Exams | 50 | Practical Exams | 0 |
|---|
| Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
|---|---|---|---|---|
| Written exam – Closed Book | 50 | 2 hours | 1-6 | Written/verbal on request |
| Coursework – Coursework 1 | 25 | 15 hours | 1-6 | Feedback Sheet |
| Coursework – Coursework 2 | 25 | 15 hours | 1-6 | Feedback Sheet |
| Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-reassessment |
|---|---|---|---|
| All Above | Written Exam (100%) | All | August Ref/Def Period |
If a module is normally assessed entirely by coursework, all referred/deferred assessments will normally be by assignment.
If a module is normally assessed by examination or examination plus coursework, referred and deferred assessment will normally be by examination. For referrals, only the examination will count, a mark of 50% being awarded if the examination is passed. For deferrals, candidates will be awarded the higher of the deferred examination mark or the deferred examination mark combined with the original coursework mark.
information that you are expected to consult. Further guidance will be provided by the Module Convener
ELE – http://vle.exeter.ac.uk
Reading list for this module:
| Type | Author | Title | Edition | Publisher | Year | ISBN |
|---|---|---|---|---|---|---|
| Set | Holton, J.R. | An Introduction to Dynamic Meteorology | 4th | Academic Press | 2012 | 978-0123848666 |
| Set | Kalnay, E. | Atmospherics Modelling, Data Assimilation and Predictability | Cambridge University Press | 2010 | ||
| Set | Hartmann, D. | Global Physical Climatology | Academic Press | 1994 | ||
| Set | Peixoto, J.P. and Oort, A.H. | Physics of Climate | American Institute of Physics | 1997 | 978-0883187128 | |
| Set | Andrews, D.G. | Introduction to Atmospheric Physics | 2nd | Cambridge University Press | 2010 |
| CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
|---|---|---|---|
| PRE-REQUISITE MODULES | None |
|---|---|
| CO-REQUISITE MODULES | None |
| NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
|---|---|---|---|
| ORIGIN DATE | Tuesday 10th July 2018 | LAST REVISION DATE | Wednesday 17th June 2020 |
| KEY WORDS SEARCH | Weather; Climate; Numerical; Clouds; Radiation; Boundary Layer |
|---|
Please note that all modules are subject to change, please get in touch if you have any questions about this module.


