Collaborative Research: Constraining African Climate since the Last Glacial Maximum via integrated Climate and Proxy System Modeling

合作研究:通过综合气候和代理系统建模约束末次盛冰期以来的非洲气候

基本信息

  • 批准号:
    1903347
  • 负责人:
  • 金额:
    $ 26.06万
  • 依托单位:
  • 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 2025-08-31
  • 项目状态:
    未结题

项目摘要

Earth surface temperatures in the tropics are an important factor in the global climate system because they directly influence atmospheric water vapor content and heat transport towards the poles. Widely accepted global climate models predict that tropical Africa will warm by 5 degrees Celsius (9 degrees Fahrenheit) in the coming century and these changes are expected to have both regional and global consequences. This research project will provide an important perspective on these predictions from past regional climate histories by evaluating the performance of model simulations of past temperatures based on lake sediment proxy records. The researchers will develop a new proxy system model for use by the scientific community and host webinars to educate and train users on the model. The project will support research opportunities that will reach historically underrepresented groups through programs such as the Girl Scouts of America, Research Experiences for Undergraduates at Rice University and Significant Opportunities in Atmospheric Research and Science at University Corporation for Atmospheric Research, as well as an undergraduate research opportunity at Brown University.Current understanding of past temperature history in the tropics has improved in recent decades with advances in proxies for lake temperature from geochemical records preserved in lake sediment cores. However, these lake sediment proxies fundamentally record lake temperature, while climate models primarily simulate air temperature and other Earth surface variables. This collaborative project will help bridge the gap between the lake proxy records of past climates and global climate models to bolster understanding of the controls on Earth surface temperature. The researchers will create new geochemical proxies from existing lake sediment cores, synthesize regional proxy records from tropical Africa and develop a proxy system model to translate between climate model outputs and recorded lake temperature proxies. This proxy-model comparison will be used to evaluate the patterns, rates, sensitivity and mechanisms of temperature changes in tropical Africa since the Last Glacial Maximum approximately 21,000 years ago. Specifically, the researchers will 1) analyze records of tropical African temperature to determine regional patterns, rates, and amplitudes of past temperature variability; 2) Use a new proxy system model (PSM) for lake archives to quantify the impacts of proxy-system processes on the reconstructions; 3) Use output from paleoclimate model simulations to simulate lake temperatures and proxy uncertainties with the PSM; 4) Compare African lake and air temperatures predicted by the PSM and the Paleoclimate Modelling Intercomparison Project (PMIP 3 & 4) simulations of the LGM, the mid-Holocene (6 kyr BP), and the pre-industrial, and in transient climate simulations of the past 21 kyr to the reconstructions; 5) Test the sensitivity of African temperature changes to orbital, greenhouse gas, and ice-sheet forcing in single-forcing transient simulations, and investigate mechanisms for these changes.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.
热带地区的地球表面温度是全球气候系统中的一个重要因素,因为它们直接影响大气中的水蒸气含量和向两极的热量输送。被广泛接受的全球气候模型预测,热带非洲在未来一个世纪将变暖5摄氏度(9华氏度),这些变化预计将对地区和全球产生影响。这项研究项目将通过评估基于湖泊沉积物替代记录的过去温度模型模拟的性能,为这些来自过去区域气候历史的预测提供重要的视角。研究人员将开发一种新的代理系统模型,供科学界使用,并主办网络研讨会,就该模型对用户进行教育和培训。该项目将通过美国女童子军、莱斯大学本科生的研究经历、大学大气研究公司的大气研究和科学重大机会以及布朗大学的本科生研究机会等项目,支持那些将接触到历史上代表性不足的群体的研究机会。近几十年来,随着从保存在湖泊沉积物岩心中的地球化学记录中获得湖泊温度的替代物的进展,人们对热带过去温度历史的了解有所改善。然而,这些湖泊沉积物替代物基本上记录了湖泊温度,而气候模型主要模拟气温和其他地球表面变量。这一合作项目将有助于弥合过去气候的湖泊代理记录和全球气候模型之间的差距,以加强对地球表面温度控制的理解。研究人员将从现有的湖泊沉积岩心创建新的地球化学代理,合成来自热带非洲的区域代理记录,并开发一个代理系统模型,在气候模型输出和记录的湖泊温度代理之间进行转换。这一代理模型比较将用于评估自大约21,000年前最后一次冰盛期以来热带非洲温度变化的模式、速率、敏感性和机制。具体地说,研究人员将1)分析热带非洲温度的记录,以确定过去温度变化的区域模式、速率和幅度;2)使用新的湖泊档案代理系统模型(PSM)来量化代理系统过程对重建的影响;3)使用古气候模型模拟的输出来模拟湖泊温度和代理不确定性;4)比较PSM和古气候模拟对比项目(PMIP 3&)预测的非洲湖泊和气温。4)模拟大冰川、中全新世(6 KYR BP),以及过去21 KYR的工业化前和瞬变气候模拟中的重建;5)在单强迫瞬变模拟中测试非洲气温变化对轨道、温室气体和冰盖强迫的敏感性,并调查这些变化的机制。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Sylvia Dee其他文献

Proxy System Biases partially resolve long-standing paleoclimate data-model discrepancies in Tropical East Africa
  • DOI:
    10.1016/j.quascirev.2025.109426
  • 发表时间:
    2025-10-15
  • 期刊:
  • 影响因子:
    3.300
  • 作者:
    Charlie Marshall;Carrie Morrill;Sylvia Dee;Yueyang Jiang;Sue Kim;James Russell
  • 通讯作者:
    James Russell

Sylvia Dee的其他文献

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{{ truncateString('Sylvia Dee', 18)}}的其他基金

Collaborative Research: Evaluating the Past and Future of Mississippi River Hydroclimatology to Constrain Risk via Integrated Climate Modeling, Observations, and Reconstructions
合作研究:评估密西西比河水文气候学的过去和未来,通过综合气候建模、观测和重建来限制风险
  • 批准号:
    2147781
  • 财政年份:
    2022
  • 资助金额:
    $ 26.06万
  • 项目类别:
    Standard Grant
Collaborative Research: P2C2--Paleoaridity Shifts in a Regional Climatological Hotspot During Abrupt Global Change Events: An Observation-Model Approach
合作研究:P2C2——全球突变事件期间区域气候热点的古干旱变化:观测模型方法
  • 批准号:
    2203053
  • 财政年份:
    2022
  • 资助金额:
    $ 26.06万
  • 项目类别:
    Standard Grant
Collaborative Research: P2C2--Variability, Impacts and Extremes of the ENSO-Asian Monsoon Relationship over the Common Era
合作研究:P2C2——历代ENSO与亚洲季风关系的变化、影响和极端情况
  • 批准号:
    2102814
  • 财政年份:
    2021
  • 资助金额:
    $ 26.06万
  • 项目类别:
    Standard Grant
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
  • 财政年份:
    2019
  • 资助金额:
    $ 26.06万
  • 项目类别:
    Standard Grant

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