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Atmospheric Modelling (ATOC20003)
Undergraduate level 2Points: 12.5Dual-Delivery (Parkville)
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About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Overview
| Availability | Semester 2 - Dual-Delivery |
|---|---|
| Fees | Look up fees |
In this subject students will use computational techniques to explore atmospheric processes and phenomena, including storms, atmospheric circulation, and climate feedbacks. The subject will develop skills in modelling the atmosphere, using modern computational and numerical frameworks and mathematical and physical reasoning. Mathematical techniques including differential equations and finite differencing will be used along with application of fundamental physical principles to real world problems in meteorology and climate science. Students will also analyse and map real-world atmospheric datasets, including satellite data and numerical models of the atmosphere.
Intended learning outcomes
On completion of this subject, students should be able to:
- Apply appropriate numerical methods for solving simple models of the weather and climate system.
- Explain the purpose, applications and limitations of different classes of models of the weather and climate system
- Analyse diverse datasets of atmospheric data from satellites and models.
- Effectively use a modern programming language to model, analyse, graph and map atmospheric data.
- Critique and explain modelling results through clear scientific oral and written communication.
- Evaluate the role of modelling systems in understanding the real weather and climate system, including for assessing climate change impacts and prediction.
- Apply simple models to understand key processes in the atmosphere, including radiation, wind systems and storms.
Generic skills
On completion of the subject students will have the following generic skills:
- Time Management skills: The ability to plan and complete a multi-part data-science project, including design, coding, plotting and oral and written communication;
- Numerical skills: The ability to apply theoretical knowledge for real-world quantitative problem solving.
- Communication skills: The ability to present scientific results graphically, through scientific writing and oral communication;
- Problem-solving skills: The ability to solve unfamiliar scientific problems by breaking them into manageable pieces and making reasonable assumptions.
Last updated: 12 November 2022
Eligibility and requirements
Prerequisites
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST10005 | Calculus 1 |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
OR
Equivalent
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
It is recommended that students have completed ATOC20001 or have some background knowledge of weather and climate systems.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 12 November 2022
Assessment
| Description | Timing | Percentage |
|---|---|---|
Extended modelling project
| Week 10 | 30% |
Individual oral presentation
| Week 10 | 10% |
Tutorial style worksheet
| Week 3 | 5% |
Coding practical
| Week 5 | 10% |
Mapping practical
| Week 7 | 5% |
Examination
| During the examination period | 40% |
Last updated: 12 November 2022
Dates & times
- Semester 2
Coordinator Claire Vincent Mode of delivery Dual-Delivery (Parkville) Contact hours 1 x 2 hour lecture per week, 1 x 2 hour practical class per week Total time commitment 170 hours Teaching period 25 July 2022 to 23 October 2022 Last self-enrol date 5 August 2022 Census date 31 August 2022 Last date to withdraw without fail 23 September 2022 Assessment period ends 18 November 2022 Semester 2 contact information
Time commitment details
Extended modelling project 42 hours Private study 80 hours
Last updated: 12 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Bachelor of Science
Last updated: 12 November 2022