刘植^1,2,,
黄少鹏^3,4,,,
金章东⁵
1. 宝鸡文理学院地理与环境学院, 陕西 宝鸡 721013
2. 陕西省灾害监测与机理模拟重点实验室, 陕西 宝鸡 721013
3. 深圳大学深地科学与绿色能源研究院, 广东 深圳 518960
4. Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, Michigan 48109-1005, USA
5. 中国科学院地球环境研究所, 黄土与第四纪地质国家重点实验室, 陕西 西安 710061

基金项目: 中国科学院地球环境研究所黄土与第四纪地质国家重点实验室主任开放基金项目(批准号:SKLLQGZR1701)和宝鸡文理学院人才引进科研启动项目(批准号:209040035)共同资助


详细信息

作者简介: 刘植, 男, 32岁, 讲师, 从事全球变化与古气候研究, E-mail:liuzhi1019@126.com

通讯作者: 黄少鹏, E-mail:shaopeng@szu.edu.cn

中图分类号: P532

收稿日期:2019-04-17
修回日期:2019-06-03
刊出日期:2019-09-30

Sequential relationship between atmospheric CO₂ concentration and surface air temperature on orbital and millennial scales

Liu Zhi^1,2,,
Huang Shaopeng^3,4,,,
Jin Zhangdong⁵
1. College of Geography and Environment, Baoji University of Arts and Sciences, Baoji 721013, Shaanxi
2. Key Laboratory of Disaster Monitoring and Mechanism Simulation of Shaanxi Province, Baoji 721013, Shaanxi
3. Institute of Deep Earth Science and Green Energy, Shenzhen University, Shenzhen 518960, Guangdong
4. Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, Michigan 48109-1005, USA
5. State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, Shaanxi


More Information

Corresponding author: Huang Shaopeng,E-mail:shaopeng@szu.edu.cn

MSC: P532

--> Received Date: 17 April 2019
Revised Date: 03 June 2019
Publish Date: 30 September 2019


摘要
摘要:大气CO₂浓度与温度变化的时序关系是第四纪古气候研究的基本问题之一，对于理解目前人类所面临的气候变化问题具有参考价值。两极地区的冰芯既保存了气候变化的信号，也是大气CO₂浓度的良好记录载体，为研究大气CO₂浓度与温度变化的时序关系提供了重要线索。利用冰芯来重建过去的气候和大气CO₂浓度的变化历史最早始于格陵兰地区，但是重建结果的时间跨度较短，目前最长的记录还未能跨越末次间冰期；而且，格陵兰冰芯内沉积了大量的碳酸盐粉尘，它们会与冰芯气泡内的酸发生化学反应生成额外的CO₂，从而导致格陵兰冰芯重建的气泡CO₂浓度偏差较大，不能真实地反映当时的大气CO₂水平。南极冰芯是目前关于大气CO₂浓度与温度变化时序关系研究的主要载体，利用大量的冰芯记录建立的冰层年代标尺已经较为精确，但是由于冰芯气泡的锁定深度较难得到精确的估算，使得重建的大气CO₂浓度的年代标尺还存在较大的不确定性，这是二者之间的时序关系问题难以解决的最主要因素。此外，随着大量高质量古气候记录的不断积累，更大空间范围（不再局限于南极地区）内的温度变化与大气CO₂浓度的时序关系研究在近年来得以开展，但其分析结果受数据处理方法的影响较大，还需要进行更多的对比探索。
关键词: 两极冰芯/
锁定效应/
冰芯气泡/
古气候集成

Abstract:The sequential relationship between atmospheric CO₂ concentration (aCO₂) and surface air temperature (SAT) is one of the fundamental questions in the paleoclimatic studies of Quaternary. A good understanding of this relationship is relevant to understanding the issues of climate change that the human beings are facing at the present-day. The ice sheets in the Polar Regions have produced important data to the sequential relationship studies. However, ice sheet records are not without pitfalls. The earliest reconstructions of past climate and aCO₂ histories using ice core were carried out in Greenland, of which temporal ranges of the reconstructed results were generally short, with the longest record shorter than the last interglaciation. Moreover, carbonate dust and some other mineral particles included in the ice during the formation of the Greenlandic ice sheet, might have caused some chemical reactions with CO₂ as their by-product. These processes ultimately led to the CO₂ records reconstructed from the ice bubbles unfaithfully reflecting the aCO₂ back then. Although the existing chronological timescales of ice layers are of considerable high precision, the uncertainties in the chronological timescales of aCO₂ records are still biggish due to the lock-in depths of ice bubbles not being estimated accurately in some ice cores. This is a major obstacle in resolving the problem of SAT-aCO₂ sequential relationship. With the accumulation of more and more high-quality paleoclimatic records, there have been several high profile reports on the integration of multiple proxy records on larger spatial scales (no longer limited to Antarctic region) for SAT-aCO₂ sequential relationship analysis over the past few years. However, the results of these recent studies are data processing methodology dependent. The SAT-aCO₂ sequential relationship on orbital and millennial time scales remains an issue of debating.
Key words:polar ice core/
lock-in effect/
ice bubble/
paleoclimatic integration



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