Modelling the Weather and Climate - 2024 entry
MODULE TITLE | Modelling the Weather and Climate | CREDIT VALUE | 15 |
---|---|---|---|
MODULE CODE | MTHM023 | MODULE CONVENER | Prof F Hugo Lambert (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 climate physics in more detail, and study the predictability of the atmosphere.
Prerequisite module: MTH3001 Theory of Weather and Climate
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 and 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 | 65 | 2 hours (Summer) | 1-6 | Written/verbal on request |
Coursework – Coursework 1 | 10 | 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 |
---|---|---|---|
Written exam * | Written Exam (100%) | All | Referral/Deferral period |
Coursework 1 * | Coursework 1 | All | Referral/Deferral period |
Coursework 2 * | Coursework 2 | All | Referral/Deferral period |
*Please refer to reassessment notes for details on deferral vs. Referral reassessment
Deferrals: Reassessment will be by coursework and/or written exam in the deferred element only. For deferred candidates, the module mark will be uncapped.
Referrals: Reassessment will be by a single written exam worth 100% of the module only. As it is a referral, the mark will be capped at 50%.
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 | MTH3001 |
---|---|
CO-REQUISITE MODULES |
NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
---|---|---|---|
ORIGIN DATE | Monday 26th February 2024 | LAST REVISION DATE | Monday 26th February 2024 |
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.