Climate Change in Australia
Climate information, projections, tools and data
The electricity sector is both dependent on, and vulnerable to weather and climate. Weather is the 'fuel' for most renewable energy where generation is dependent on sun, wind, and rain. At the same time, consumer demand for energy is significantly influenced by weather, and the transmission system is vulnerable to weather and climate impacts, particularly extreme weather impacts. Given this context, the electricity sector is increasingly exposed to climate variability, and long-term climate change may present a significant risk.
Enhancing the electricity sector’s knowledge of climate change science can lead to improved integration of climate risk into investment and planning decisions. This training workshop, held in February 2021, provided participants with a better understanding of the climate system, an appreciation of climate change science, and the confidence to use this understanding of climate change science and associated tools and data to inform long-term decision-making. Use the links to access recordings of each of the training modules.
Learning & Support / Climate Training
This session provides an overview of the climate system and key aspects of climate science, of relevance to understanding how climate change projections are developed.
Go to the trainingLearning & Support / Climate Training
This session provides an introduction to climate change modelling, at global and regional scales, and how model outputs are used to develop projections of plausible change.
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This session explores how climate projections information is conveyed and how to interpret them appropriately. Concepts covered include: multi-model ensemble results, internal consistency and model uncertainty.
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In this session, the concepts from sessions 1 to 3 are drawn together to inform how to make the most appropriate use of climate projections for assessing the risks posed by climate change. Key concepts include: how to deal with the range of future climates, choosing appropriate time scales and selecting emissions pathways.
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This session focusses on the climate projections datasets that have been developed (or were in development) specifically for the electricity sector.
Go to the trainingClimate Change in Australia online training provides curated access to relevant content from the Learning and Support and Overview sections of the CCiA website.
The content is divided into four modules, described below. It is specifically chosen to provide key background understanding to help you make the best use of the tools on this website, especially the Intermediate level tools.
To make the best use of the Advanced tools, we suggest you delve deeper into the content from each of the pages in the online training modules.
Learning & Support / Climate Training
This module covers 1) an introduction to the climate system, 2) the oceans and atmosphere, 3) Australian climate influences, 4) variability vs change, and 5) greenhouse gases.
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This module provides introductory content on 1) modelling and projections, 2) understanding climate change projections, 3) what are climate models?, 4) theory and physics of climate models, 5) what is downscaling?, 6) evaluation of model performance, and 6) greenhouse gas scenarios.
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This module focusses on putting climate projections into practice. It covers: 1) using climate change projections, 2) deciding what data you need, 3) how good are climate models for Australia?, 4) uncertainty and confidence in climate change projections, 5) application-ready data, 6) common mistakes when using climate change data, and 7) conducting an impact assessment.
Go to the trainingLearning & Support / Climate Training
This module looks at the Climate Futures Framework approach to obtaining datasets for use in quantitative climate impact assessments. Content covers: 1) climate projections for impact assessment (including internal consistency), 2) identifying 'key cases', 3) obtaining results for multiple variables, 4) selecting representative models, 5) taking account of model skill, 6) obtaining data, and 7) the Climate Futures web-tool suite.
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