P2C2: Paleoclimate Data Assimilation

P2C2：古气候数据同化

• 批准号: 1304263
• 负责人: Gregory Hakim
• 金额: $ 42.26万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1304263&HistoricalAwards=false
• 关键词: P2C2; Paleoclimate; Data; Assimilation

Documenting and understanding the past behavior of the climate system provides a critical reference for comparison with future potential climate change. Since the record for instrumental measurements covers only the most recent 100-150 years, indirect ("proxy") measurements must be considered. Quantitative analysis of these proxy data is challenged by the fact that the proxies apply to specific locations, and their relationship to the main feature in the climate system are not well understood.With this project, researchers from the University of Washington build on recent progress in using state-of-the-art tools from the weather prediction community to reconstruct past climate states by a method referred to as paleoclimate data assimilation (PDA). The research involves optimally blending information from climate models and proxy data to reconstruct Earth's climate over a wide range of time scales. PDA provides a transformative synthesis of irregularly spaced pointwise data into global gridded data, similar to reanalysis products derived from weather observations. Reconstructed climate states will be used for hypothesis testing using numerical models to evaluate climate sensitivity and predictability on decadal and longer timescales with robust sample sizes over a wide range of climate states. This research leverages expertise from both the paleoclimate and climate dynamics communities. Further interdisciplinary collaboration will take place through interactions with the PAGES (PAst Global changES) community. Funding supports education and training of a graduate student, as well as outreach activities to schools, community organizations and state agencies.

记录和理解气候系统的过去行为为与未来潜在气候变化进行比较提供了关键参考。由于仪器测量的记录仅涵盖了最近的100 - 150年，因此必须考虑间接（“代理”）测量值。 Quantitative analysis of these proxy data is challenged by the fact that the proxies apply to specific locations, and their relationship to the main feature in the climate system are not well understood.With this project, researchers from the University of Washington build on recent progress in using state-of-the-art tools from the weather prediction community to reconstruct past climate states by a method referred to as paleoclimate data assimilation (PDA).该研究涉及从气候模型和代理数据中最佳混合信息，以在广泛的时间范围内重建地球的气候。 PDA提供了不规则间隔的数据转化综合到全球网格数据中，类似于从天气观察中得出的重新分析产物。重建的气候状态将使用数值模型用于假设检验，以评估在较广泛的气候状态范围内具有强大样本量的衰老和较长时间尺度上的气候灵敏度和可预测性。 这项研究利用了古气候和气候动态社区的专业知识。通过与页面（过去的全球变化）社区的互动，将进行进一步的跨学科合作。资金支持研究生的教育和培训，以及向学校，社区组织和州机构的外展活动。