ECM3909 - Mathematics of Climate Change (2023)

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MODULE TITLEMathematics of Climate Change CREDIT VALUE15
MODULE CODEECM3909 MODULE CONVENERDr Markus Mueller (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 11 0 0
Number of Students Taking Module (anticipated) 20
DESCRIPTION - summary of the module content

This module will provide a background in the mathematics underlying human-induced climate change. It will provide you with a good general understanding of the climate system, against which to assess the likely role of anthropogenic forcing factors. You will learn to apply a range of mathematical methods, including differential equations, calculus and the use of small parameters to approximate and simplify climate system problems. Topics of study will include observations of climate change, the greenhouse effect, regimes of atmospheric absorption, climate feedbacks, climate tipping points and geoengineering.

Pre-requisite module: ECM1901 Calculus and Geometry; ECM1902 Vectors and Matrices, or equivalent

AIMS - intentions of the module

Climate change is a high-profile subject that is often covered in the media. However, debate about climate change is often presented in a polarized way, divided along political or ideological lines. In contrast, there is now an urgent need to develop a new generation of thinkers capable of objectively analysing the evidence for climate change and its causes, and the options for dealing with it (including mitigation, adaptation and geoengineering). Mathematically-minded people are especially sort after by organizations such as the Met Office-Hadley Centre in Exeter. This module aims to develop the skills required to meet these needs, by providing a strong-background in the science surrounding the climate change issue to mathematically-minded undergraduates.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

On successful completion of this module, you should be able to:

Module Specific Skills and Knowledge:

1 Demonstrate a good general understanding of the climate system, and human-induced climate change;

2 Use simple climate models to demonstrate this understanding;

Discipline Specific Skills and Knowledge:

3 Demonstrate the application of a range of mathematical methods, including differential equations, calculus and the use of small parameters to approximate and simplify climate system problems.

SYLLABUS PLAN - summary of the structure and academic content of the module
 
- Definition of climate and the climate system;
- Observations of climate change and climate variability;
- The greenhouse effect;
- Energy balance models of the climate system;
- Climate feedbacks: water vapour, snow/sea ice albedo, ocean circulation, cloud cover, carbon cycle;
- atmospheric radiation and the vertical structure of climate;
- land surface processes and the carbon cycle;
- Human-forcing of the climate system;
- Predictions of future climate change.
 
LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 33.00 Guided Independent Study 117.00 Placement / Study Abroad 0.00
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled Learning and Teaching Activities 33 Lectures/Example Classes
Guided Independent Study 117 Lecture and assessment preparation, wider reading
     

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
In-Class Problem Sheets 5 x 1 hour All Verbal

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 20 Written Exams 80 Practical Exams 0
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Coursework - based on questions submitted for assessment 20 2 assignments, 30 hours All Annotated script and written/verbal feedback
Written Exam – Closed Book 80 2 hours All Written/Verbal on request

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-assessment
All Above Written Exam (100%) All August Ref/Def Period

 

RE-ASSESSMENT NOTES

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 40% 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.

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Basic Reading:

ELE: http://vle.exeter.ac.uk

 

Reading list for this module:

Type Author Title Edition Publisher Year ISBN Search
Set Intergovermental Panel on Climate Change AR5 Climate Change 2013 - the physical science basis Cambridge University Press 2014 978-1107415324 [Library]
Set North, G. R., and Kim, K-Y. Energy Balance Climate Models [print edition] Wiley 2017 978-3-527-41132-0 [Library]
Set North, G. R., and Kim, K-Y. Energy Balance Climate Models [ePDF edition] Wiley 2017 978-3-527-68383-3 [Library]
Set North, G. R., and Kim, K-Y. Energy Balance Climate Models [ePub edition] Wiley 978-3-527-68381-9 [Library]
Set Salby, M. L. Physics of the Atmosphere and Climate 2nd Cambridge University Press 2012 978-1139005265 [Library]
CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITE MODULES ECM1901, ECM1902
CO-REQUISITE MODULES
NQF LEVEL (FHEQ) 6 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Tuesday 25 June 2019 LAST REVISION DATE Wednesday 18 January 2023
KEY WORDS SEARCH Climate; Mathematics; Climate Change; Mathematical Modelling