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Climate Modelling and Climate Change (ERTH90026)
Graduate courseworkPoints: 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
Overview
Availability | Semester 2 - Dual-Delivery |
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Fees | Look up fees |
This subject describes the physics of the climate system, and how the system is represented in numerical models.
Key aspects include:
- Radiation balance and heat balance of the earth
- Carbon dioxide, water vapour and other Greenhouse Gas absorption spectra
- Other key climate drivers including solar variability, aerosols and clouds
- The global carbon cycle and the modelling of other greenhouse gases
- Impacts of climate change including sea level rise and extreme events
It covers aspects of uncertainty and chaos to understand why climate models are imperfect but invaluable tools. Students will build a simple climate model and run numerical experiments with different greenhouse gases. Existing knowledge in python programming is recommended but can be acquired throughout the course. The subject will also briefly discuss the processes of the United Nations Framework Convention on Climate Change (UNCCC) and Intergovernmental Panel on Climate Change (IPCC).
The 12 lectures cover the following themes: 1. Introduction; 2. Radiative forcing; 3. Climate feedbacks; 4. Carbon & gas cycles; 5. Oceans & sea level rise; 6. Aerosols & Clouds; 7. Variability and El Nino*; 8. Water Cycle and Extremes; 9. Ensemble & probabilistic projections, D&A; 10. Scenarios, carbon dioxide removal and solar radiation management; 11. Climate Targets, carbon budgets and the Paris Agreement*; 12. Wrap Up
The lectures are accompanied with weekly exercises that provide students with hands-on conceptual learning, modelling and data analysis experience.
Intended learning outcomes
On completion of this subject students should be able to:
- Debate the reality of climate change in both a qualitative and quantitative manner;
- Develop and apply simplified climate models and make projections of future climate change;
- Assess different climate models currently in use, including quantification of uncertainty and its implications for future projections; and
- Critically examine existing literature, its gaps and limitations on various aspects of the climate system.
Generic skills
This subject will provide students with the opportunity to develop the following generic skills:
- Effective communicate with the science community at large and general public;
- Understanding of the process of scientific research with modelling and data challenges and uncertainties;
- Critical thinking about concepts, their nuances and the importance of precise definitions; and
- Understanding of the depth and complexity of key scientific concepts that inform national and international policy making on climate change.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
Admission to a Masters level program.
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
It is strongly recommended that students have either pre-existing programming knowledge or the willingness to acquire programming skills over the course of the subject (specifically python).
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: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
4 Assignments with mixed essays and programming/data analysis tasks (750 words per essay, plus programming parts) in Weeks 3, 5, 7 and 9
| From Week 3 to Week 9 | 50% |
Exam
| End of semester | 50% |
Last updated: 31 January 2024
Dates & times
- Semester 2
Principal coordinator Malte Meinshausen Mode of delivery Dual-Delivery (Parkville) Contact hours 12 weeks: 1 x 3hr seminar (2hr lecture + 1hr practical) 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
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
The two texts recommended as preparation for this subject are:
a) The Technical summary of the Intergovernmental Panel on Climate Change Fifth Assessment Report AR5, available here: http://ipcc.ch/pdf/assessment-report/ar5/wg1/WG1AR5_TS_FINAL.pdf and
b) An introduction to python programming of your choice, e.g. the Google Python Class, available here: https://developers.google.com/edu/python/
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Environmental Science Course Master of Energy Systems - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 31 January 2024