Innovations in Bayesian inference with applications to climate extremes

贝叶斯推理的创新及其在极端气候中的应用

• 批准号: DP0877432
• 负责人: Prof Scott Sisson
• 金额: $ 14.56万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-01-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0877432
• 关键词: Innovations; Bayesian; inference; applications; climate

Climate extremes have immense impacts on Australia and society, affecting agriculture, water supply and management, bushfire control, utilities, power, insurance, the economy and many other sectors. This project will examine possible changes in the frequency and intensity of Australian extreme rainfall, droughts, flooding and tropical cyclones using innovative Bayesian statistical methods. The project will provide valuable training to Australian graduates in Bayesian computation and the statistical modelling of climate extremes. It will enhance Australia's reputation as a strong contributor to the development of Bayesian methodologies and climate research, and help foster collaborations between climate and mathematical scientists.

极端气候对澳大利亚和社会产生了巨大的影响，影响到农业、供水和管理、消防、公用事业、电力、保险、经济和许多其他部门。该项目将使用创新的贝叶斯统计方法，研究澳大利亚极端降雨、干旱、洪水和热带气旋的频率和强度可能发生的变化。该项目将为澳大利亚毕业生提供贝叶斯计算和极端气候统计建模方面的宝贵培训。它将提高澳大利亚作为贝叶斯方法和气候研究发展的强大贡献者的声誉，并有助于促进气候和数学科学家之间的合作。