Module Details |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | Modelling Processes in Oceans and Climate | ||
Code | ENVS414 | ||
Coordinator |
Prof J Sharples Earth, Ocean and Ecological Sciences Jonathan.Sharples@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2018-19 | Level 7 FHEQ | First Semester | 15 |
Aims |
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To allow the students to undertake independant work using the tools developed during each of the four phases of the course towards testing hypotheses quantitatively. To develop written communication skills |
Learning Outcomes |
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By the end of this module a student will be able to use a range of different simple models to conduct quantitative assessments of the importance of different processes |
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By the end of this module a student will be able to communicate the results of numerical modelling in a short illustrated report that draws general conclusions |
Syllabus |
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1 |
Weeks 1-3: Matlab and differential equations revision, first and second order systems, chaos, time discretisation Weeks 4-6: Set up of a one dimensional tracer diffusion model, role of surface heating and boundary conditions, seasonal evolution of temperature distribution. Weeks 7-9: Addition of a nutrient and simple phytoplankton model to the one dimensional tracer diffusion model. Parameterisation of phytoplankton growth and losses. Representation of the seasonal cycle in phytoplanton biomass and nutrient concentrations. Weeks 10-12: Ocean-atmosphere partitioning of carbon, connections between radiative heating and warming. 2 box model: carbon chemistry of the ocean. |
Teaching and Learning Strategies |
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Lecture - Once per week |
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Laboratory Work - One afternoon per week |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
12 |
36 |
48 | ||||
Timetable (if known) |
Once per week
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One afternoon per week
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Private Study | 102 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Practical Assessment | 1 week | 1 | 33 | No reassessment opportunity | Standard UoL penalty applies | Assessment 1 There is no reassessment opportunity, |
Practical Assessment | 1 week | 1 | 33 | No reassessment opportunity | Standard UoL penalty applies | Assessment 2 There is no reassessment opportunity, |
Practical Assessment | 1 week | 1 | 34 | No reassessment opportunity | Standard UoL penalty applies | Assessment 3 There is no reassessment opportunity, Notes (applying to all assessments) all assessments will be based around the MATLAB exercises |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. Explanation of Reading List: |