Collaborative Research: P2C2--Quantifying Holocene Climate Variations through Data Assimilation using Proxies and General Circulation Models (GCMs) Output

合作研究：P2C2——使用代理和大气环流模型（GCM）输出通过数据同化量化全新世气候变化

• 批准号: 1903377
• 负责人: Sylvia Dee
• 金额: $ 6.18万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1903377&HistoricalAwards=false
• 关键词: Collaborative; Research; P2C2; Quantifying; Holocene

This project aims to develop a proxy-model assimilation framework for the Holocene period by combining proxy data and model simulations. The developed framework will allow to address critical questions about the temperature trends during the Holocene which show a discrepancy between observations and models. In addition, the climate dynamics underlying major hydrological changes-Drying- in western North America and Northern Africa will be investigated. To improve the model-data comparison, the researchers will use a proxy-system modeling approach in order to improve the interpretation of the climate signal recorded in the Holocene proxy-records, including seasonality of temperature and precipitation.The potential Broader Impacts include a greater understanding of the Holocene climate dynamics, investigating the mismatch between model simulations and observation of temperature trends during the Holocene; and major hydroclimate shifts in northwestern US and North Africa. A Holocene multi-variable reconstruction at annual resolution and a curated Holocene proxy-record database will be developed and made available for the broader climate community. Two workshops on paleoclimate data assimilation will be organized for graduate students and early career scientists to train the next generation of paleoclimate scientists. The project will support three early career scientists and a graduate student. The Holocene multi-variables reconstruction and proxy-network will be useful products that will benefit the paleoclimate community at large.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目旨在通过组合代理数据和模型模拟来为全新世开发一个代理模型同化框架。开发的框架将允许解决关于全新世中温度趋势的关键问题，这些问题显示观测和模型之间存在差异。此外，将研究北美和北非西部重大水文变化干燥的气候动态。为了改善模型数据比较，研究人员将使用代理系统建模方法，以改善对全新世代理记录中记录的气候信号的解释，包括温度和降水的季节性。潜在的更广泛的影响包括更大的影响。了解全新世气候动态，研究模型模拟和观察到全新世期间温度趋势之间的不匹配；以及美国西北部和北非的主要氢气候变化。将开发并为更广泛的气候社区开发并提供全新世多变量重建和策划的全新世代理纪录数据库。将为研究生和早期职业科学家组织两个有关古气候数据同化的研讨会，以培训下一代古气候科学家。该项目将支持三位早期的职业科学家和一名研究生。全新世多变量重建和代理网络将是有用的产品，将使古气候社区受益。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛的影响来通过评估来获得支持的审查标准。