New methods for modelling complex trends in climate and energy time series

模拟气候和能源时间序列复杂趋势的新方法

• 批准号: DP200102769
• 负责人: Prof Heather Anderson
• 金额: $ 36.44万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-08-03 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200102769
• 关键词: New; methods; modelling; complex; trends

The project aims to contribute to Australian and international efforts on emission control by advancing the methods for quantifying the relationships between energy production, emission and climate, and assessing the real and financial risks associated with changing the ways in which economies produce and use energy. The project is interdisciplinary and expects to develop new knowledge in the areas of energy and climate econometrics. The anticipated outcomes of this project are new methods for modelling variables with complex trends, and an innovative data-driven approach for learning from policy experiences of other countries. This should provide significant benefits by enabling evidence-based policy making in the era of climate change.

该项目旨在通过推进能源生产、排放和气候之间关系的量化方法，以及评估与改变经济体生产和使用能源的方式有关的真实的和金融风险，为澳大利亚和国际上的排放控制努力做出贡献。该项目是跨学科的，预计将在能源和气候计量经济学领域发展新的知识。这一项目的预期成果是采用新方法对具有复杂趋势的变量进行建模，并采用创新的数据驱动方法学习其他国家的政策经验。这将通过在气候变化时代实现基于证据的政策制定而带来重大利益。