Collaborative Research: Pliocene and Pleistocene transient climate simulations and model-proxy comparisons for surface temperature and monsoon circulation

合作研究：上新世和更新世瞬态气候模拟以及地表温度和季风环流的模型代理比较

• 批准号: 1129316
• 负责人: Zhengyu Liu
• 金额: $ 6.2万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1129316&HistoricalAwards=false
• 关键词: Collaborative; Research; Pliocene; Pleistocene; transient

Model-proxy comparison is a cornerstone of climate change science. This project introduces a new, quantitative approach to model-proxy comparison for application to the new and rapidly developing field of transient climate modeling. The approach expands applicability of model-proxy comparisons to a broader research community and the range of proxy records that can be used in comparison with model results.Specifically, the work involves a collaborative effort between investigators at Brown University, the University of Wisconsin, and the Institute of Earth's Environment, Chinese Academy of Sciences (CAS), Xian. A fully-coupled climate model (Community Climate System Model-version 3; CCSM3) will be run in time-dependent mode using accelerated insolation forcing in order to simulate the evolution of climate during two key intervals in Earth history, the past 300,000 years (a time of high-amplitude climate variability related to changing greenhouse gases, polar ice sheets and sea level) and 3.142 to 2.842 million years ago (an interval of time with the same insolation forcing but much smaller amplitude changes in greenhouse gases, ice sheets, and sea level). These two model experiments and their component forcings will be compared to one another to study the sensitivity of the model-produced climate to changing ice volume and greenhouse gases with an emphasis on tropical surface temperatures and monsoonal circulation. The model results will also be compared to previously published records of surface temperature and monsoonal circulation from marine and terrestrial geological archives. This comparison will focus specifically on the timing (phase) of changes in surface temperature and monsoonal circulation relative to changes in insolation (orbital), ice volume and greenhouse gases. This focus on comparing the phase of the climate response in the model and proxy records leverages the fact that phase is a robust metric that can be quantified from a wide range of proxies. Successful model-proxy comparisons serve to validate model reliability and promote confidence in the use of models for identifying the underlying physics of climate change. Model results will be widely available and archived at the NOAA/NCDC World Data Center. Funding supports a full time graduate student at Brown University, who will work closely with a full time post-doctoral researcher at CAS (no cost to this project). This interaction will ensure an in-depth experience in climate modeling for the student and experience in geological proxy generation and analysis for the post-doctoral researcher. Fostering this close collaborative approach, including oversight and scientific leadership by the senior researchers, is crucial to furthering the synergistic integration of researchers from these two fields.

模型与代理比较是气候变化科学的基石。 该项目引入了一种新的定量方法来进行模型代理比较，以应用于快速发展的瞬态气候建模领域。 该方法将模型-代理比较的适用性扩展到更广泛的研究界，以及可用于与模型结果进行比较的代理记录的范围。具体来说，这项工作涉及布朗大学、威斯康星大学和中国科学院地球环境研究所，西安。 全耦合气候模型（社区气候系统模型版本 3；CCSM3）将使用加速日照强迫以时间相关模式运行，以模拟地球历史上两个关键时期（过去 30 万年）的气候演变（与温室气体、极地冰盖和海平面变化有关的高幅度气候变化时期）和 3.142 至 284.2 万年前（具有相同日照的时间间隔）强迫但温室气体、冰盖和海平面的变化幅度要小得多）。 这两个模型实验及其组成强迫将相互比较，以研究模型产生的气候对冰量变化和温室气体变化的敏感性，重点是热带表面温度和季风环流。 该模型结果还将与之前发布的海洋和陆地地质档案中的表面温度和季风环流记录进行比较。 这种比较将特别关注地表温度和季风环流变化相对于日照（轨道）、冰量和温室气体变化的时间（阶段）。 重点比较模型和代理记录中的气候响应阶段，利用了这样一个事实：阶段是一个强大的指标，可以从各种代理中进行量化。 成功的模型与代理比较有助于验证模型的可靠性，并增强人们对使用模型来识别气候变化的基本物理原理的信心。 模型结果将在 NOAA/NCDC 世界数据中心广泛提供和存档。资金支持布朗大学的一名全日制研究生，该学生将与 CAS 的一名全职博士后研究员密切合作（该项目免费）。这种互动将确保学生获得气候建模方面的深入经验，并确保博士后研究员获得地质代理生成和分析方面的经验。 促进这种密切的合作方法，包括高级研究人员的监督和科学领导，对于进一步促进这两个领域研究人员的协同整合至关重要。