Collaborative Research: P2C2--Locally-Constrained Climate Field Reconstructions of the Last Millennium: Methods and Application

合作研究：P2C2--上个千年的局部约束气候场重建：方法与应用

• 批准号: 0902715
• 负责人: Michael Evans
• 金额: $ 6.93万
• 依托单位: University of Maryland, College Park
• 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: 2009-08-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0902715&HistoricalAwards=false
• 关键词: Collaborative; Research; P2C2; Locally; Constrained

Funds are provided to improve the output from climate field reconstructions (CFRs) by using reduced space optimal interpolation (RSOI), which requires climate proxies to be locally calibrated as opposed to most current approaches which use with non-local calibration. The researchers will analyze the currently employed non-local multivariate CFR methods and test RSOI-derived CFRs using locally-calibrated proxies. Results will be compared and contrasted both empirically and theoretically and will be used to reduce the uncertainty in estimates of millennial climate variability and produce better estimates of the spatial and temporal variability of climate. The research has broad appeal to the wider science and policy making communities in that it is attempting to improve the quantitative nature of climate reconstructions.

提供资金，以提高气候场重建（CFRs）的输出，通过使用减少空间最佳插值（RSOI），这需要气候代理进行本地校准，而不是目前的方法，使用非本地校准。研究人员将分析目前采用的非本地多变量CFR方法，并使用本地校准的代理测试RSOI衍生的CFR。将从经验和理论两方面对结果进行比较和对照，并将其用于减少千年气候变异性估计的不确定性，并对气候的空间和时间变异性作出更好的估计。这项研究对更广泛的科学和政策制定社区具有广泛的吸引力，因为它试图改善气候重建的定量性质。