Module overview
This module uses contemporary observational datasets and model output to explore large-scale ocean dynamics, variability and its influence on the climate
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Apply Lagrangian diagnostics to understand ocean circulation and mixing
- Understand the utility of numerical ocean models for simulation and prediction
- Synthesize observations and models to explain the ocean's key role in climate change
- Quantify large-scale ocean processes in terms of water mass transformation
- Understand ocean-atmosphere-cryosphere interactions, in relation to weather and climate
Syllabus
The module will explore processes that determine the physical state and circulation of the World Ocean. Observations and model data will be used together with a water mass transformation framework and virtual particle tracking, to explore how the ocean is forced to move and mix. Following an introduction to ocean and atmosphere re-analysis datasets, and ocean/climate models, analyses will be undertaken to reveal the patterns and timescales of climate variability and change, with a focus on dramatic changes that have played out across the North Atlantic and Arctic since 1980.
Computer based practicals and example sheets will underline key concepts in the module.
Learning and Teaching
Teaching and learning methods
Formal Lectures (10 x 2-hour lecture sessions): in the first half of the module, lectures introduce water masses, the basic character of ocean currents and ocean circulation, and the water mass transformation framework; in the second half of the module, lectures introduce re-analysis data for the ocean and atmosphere, and ocean/climate models, proceeding to cover processes driving climate variability and change in low, mid and high latitudes, with a focus on the North Atlantic and Arctic. Copies of the PowerPoint slides and selected pre-recordings are available on the blackboard website prior to each lecture and the Panopto recordings of the lecture sessions will be available there afterwards.
Practical sessions (10 x 2 hour computing practicals): in the first half of the module, particle trajectory data are analysed to obtain key Lagrangian statistics for selected current systems in the World Ocean, followed analysis of surface properties and heat/freshwater fluxes to diagnose water mass transformation, globally and for the North Atlantic; in the second half of the module, ocean, atmosphere and cryosphere data are analysed to reveal patterns and timescales of climate variability and change since 1980.
A wide range of support can be provided for those students who have further or specific learning and teaching needs.
| Type | Hours |
|---|---|
| Lecture | 20 |
| Independent Study | 110 |
| Practical classes and workshops | 20 |
| Total study time | 150 |
Assessment
Assessment strategy
Coursework 1 (20%): This coursework assesses the first half of the module. You will submit the final (executed) version of your Python notebooks used through Practicals 1-5, including all figures and calculations. You will show evidence of understanding of the practical work and the subject matter by answering short questions included in the notebooks.
Video Recording (20%): The first half of the module will be also assessed through a short (4-5 minutes) video recording, where you will present a topic of your choice among those addressed in practicals 1-5. The video should combine a general introduction to the topic (e.g. a current system) with results from your practicals.
Coursework 2 (60%): Using the Python scripts and datasets provided through Practicals 6-10, you will characterize ocean and climate variability in the North Atlantic / Arctic sector, and associated drivers. You will write a report (up to 19 pages), ‘Climate Variability and Change in the North Atlantic and Arctic since 1980’.
Problem sessions (formative assessment): Practicals 1-10 will prepare you for the three assignments.
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Coursework | 20% |
| Audio or Video Recording | 20% |
| Coursework | 60% |
Repeat Information
Repeat type: Internal