P2C2: A Bayesian Approach to Estimating Temperature and Precipitation and Their Inter-Relationship over the Last Millennium

P2C2：估算过去千年温度和降水及其相互关系的贝叶斯方法

• 批准号: 0902374
• 负责人: Peter Huybers
• 金额: $ 40.03万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0902374&HistoricalAwards=false
• 关键词: P2C2; Bayesian; Approach; Estimating; Temperature

Funding is provided to explore the variability in temperature and precipitation and their inter-relationship through Bayesian analysis of a combination of instrumental and proxy records. The premise of the research is that, climatologically, variability in temperature and precipitation over the last millennium is uncertain but can be empirically better constrained using existing data. This project will support a graduate student and post-doctoral scholar and bring a different quantitative perspective to the analysis of paleoclimate data.This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).

提供资金，通过对仪器记录和替代记录的组合进行贝叶斯分析，探索温度和降水的变异性及其相互关系。这项研究的前提是，在气候学上，过去一千年的温度和降水的变化性是不确定的，但可以利用现有数据从经验上更好地加以约束。该项目将支持一名研究生和博士后学者，并为古气候数据的分析带来不同的量化视角。该奖项由2009年美国复苏和再投资法案(公法111-5)资助。