Mathematics

ECMM723 - Modelling the Weather and Climate (2018)

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MODULE TITLEModelling the Weather and Climate CREDIT VALUE15
MODULE CODEECMM723 MODULE CONVENERDr Bob Beare (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 0 11 weeks 0
Number of Students Taking Module (anticipated) 23
DESCRIPTION - summary of the module content

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.
 

Prerequisite module: ECM3707 and ECM3730 or equivalent

Corequisite module: ECMM719 or equivalent

 

AIMS - intentions of the module

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.

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 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.

SYLLABUS PLAN - summary of the structure and academic content of the module

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.
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
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 Book work from lectures, study using reading list, past exam papers, reading relevant research papers.
     

 

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
Not applicable      
       
       
       
       

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 50 Written Exams 50 Practical Exams
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Written exam – closed book 50 2 hours - Summer Exam Period 1-6 Meeting with lecturer
Coursework – coursework 1 25 15 hours 1,2,3,4,5,6 Feedback sheet
Coursework – coursework 2 25 15 hours 1,2,3,4,5,6 Feedback sheet
         
         

 

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-reassessment
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 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.

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

ELE – http://vle.exeter.ac.uk

Reading list for this module:

Type Author Title Edition Publisher Year ISBN Search
Set Eugenia Kalnay Atmospherics Modelling, Data Assimilation and Predictability Cambridge University Press 2010 [Library]
Set Andrews, D.G. Introduction to Atmospheric Physics 2nd Cambridge University Press 2010 [Library]
Set Dennis Hartmann Global Physical Climatology Academic Press 1994 [Library]
Set Holton, J. R An introduction to Dynamic Meteorology 4th Academic Press 2012 978-0123848666 [Library]
Set Peixoto, J P, Oort, A H Physics of Climate American Institue of Physics 1997 978-0883187128 [Library]
CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITE MODULES ECM3730, ECM3707
CO-REQUISITE MODULES ECMM719
NQF LEVEL (FHEQ) 7 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Thursday 06 July 2017 LAST REVISION DATE Wednesday 27 February 2019
KEY WORDS SEARCH Weather; climate; numerical; clouds; radiation; boundary layer.