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OCEN321 Ocean Physics and Modelling

Analytic and numerical modelling of oceanic processes. An opportunity to apply mathematics and physics skills to understand a critical part of our climate system.

Many earth science problems are tackled with numerical models. This paper examines how scientists develop models to study the physical characteristics and dynamics of the ocean to understand their connection to ocean biology, chemistry and climate change. The paper is intended for students interested in the quantitative study of the earth oceans, climate and paleoclimate. Assignments cover the fundamentals of numerical methods to study geophysical fluids and develop student programming skills to access and analyse numerical model output. Applications will include waves in the ocean, Newton’s laws on a rotating planet, wind-driven flow and the dynamics of the Southern Ocean.

Paper title Ocean Physics and Modelling
Paper code OCEN321
Subject Oceanography
EFTS 0.1500
Points 18 points
Teaching period Second Semester
Domestic Tuition Fees (NZD) $1,059.15
International Tuition Fees (NZD) $4,627.65

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Prerequisite
COMO 204 or MATH 262
Recommended Preparation
(OCEN 201 or PHSI 243) and MATH 203 and (PHSI 131 or PHSI 132 or PHSI 191)
Schedule C
Science
Contact
steve.dawson@otago.ac.nz
Teaching staff

Course Coordinator: Dr Ata Suanda

Teaching Arrangements
Lectures and labs
Textbooks

There is no required text for this paper.
Lecture notes and supplementary material will be made available.

Graduate Attributes Emphasised
Global perspective, Interdisciplinary perspective, Scholarship, Communication, Critical thinking, Information literacy, Research, Self-motivation, Teamwork.
View more information about Otago's graduate attributes.
Learning Outcomes
  • Classify differential equations and models based on their type, order and complexity.
  • Understand numerical principles behind solving differential equations.
  • Be able to determine the appropriate model to use for a given application.
  • Understand numerical model uncertainty, the use of approximations and the need for model parameterisation.
  • Use analytical and critical-thinking skills to identify and describe numerical methods found in literature.
  • Use practical MATLAB-based computer skills: be comfortable running computer codes, create effective visualisations and interpret model output.

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Timetable

Second Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Computer Lab

Stream Days Times Weeks
Attend
A1 Thursday 11:00-13:50 36-41

Lecture

Stream Days Times Weeks
Attend
L1 Tuesday 09:00-09:50 28-34, 36-41
Wednesday 09:00-09:50 28-34, 36-41

Tutorial

Stream Days Times Weeks
Attend
T1 Thursday 14:00-15:50 28-34