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: 0902436
• 负责人: Jason Smerdon
• 金额: $ 27.44万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Continuing 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=0902436&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.

通过使用减少的空间最佳插值（RSOI），提供了资金来改善气候重建（CFR）的输出，该空间需要与非局部校准的大多数当前方法进行局部校准，这需要对气候代理进行本地校准。 研究人员将分析当前使用的非本地多元CFR方法，并使用局部校准的代理测试RSOI衍生的CFR。 结果将在经验和理论上进行比较和对比，并将用于减少千禧一代气候变异性估计值的不确定性，并更好地估计气候的空间和时间变异性。该研究对更广泛的科学和政策社区的吸引力很大，因为它试图改善气候重新构造的定量性质。