在轨道时间尺度上解释季风区洞穴氧同位素记录的数据模型方法

Sarah E. Parker, S. Harrison, L. Comas‐Bru, N. Kaushal, A. Legrande, M. Werner
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引用次数: 1

摘要

摘要利用洞穴氧同位素(δ18O)记录重建过去季风气候变化是复杂的,因为δ18O信号受降水变化、陆地降水再循环、湿源温度变化、湿源区域和输送路径变化等多种因素的影响。本文分析了来自speleothem同位素合成与分析(SISAL)数据库第2版的150多个岩石层记录,得出了季风地区δ18O的综合区域趋势;合成最大限度地减少了可能影响单个遗址记录的特定地点喀斯特和洞穴过程的影响。我们将岩洞δ18O观测结果与同位素气候模式模拟结果进行比较,以探讨导致这些区域趋势的具体气候因素。本文重点研究了间冰期(中全新世和末间冰期)和末极冰期(末极冰期)δ18O信号的差异,以及整个全新世的δ18O演化。中全新世与末次间冰期东亚和印度季风的洞穴δ18O差异不大,但末次间冰期夏季日晒值较大。末次冰期最大δ18O值显著小于间冰期值。与模拟冰期-间冰期δ18O的比较表明,其变化主要是由全球温度变化和区域降水驱动的。全新世岩石层δ18O记录具有明显的区域一致性。趋势与印度、中国和南美洲西南部的夏季日照相似,但在印度尼西亚-澳大利亚地区有所不同。冗余分析表明,37%的全新世变率可以用纬度和经度来解释,支持将记录区分为单个季风区。模拟降水δ18O和气候变量的回归分析表明,全球全新世季风δ18O趋势主要受降水、大气环流和(较小程度上)源区温度变化的驱动,而降水再循环不显著。但区域尺度机制存在差异;印度、南美洲西南部和印尼-澳大利亚地区的降水变化与δ18O有明显的关系,而东亚季风的降水变化与δ18O没有明显的关系。大气环流的变化对东亚、印度和印尼-澳大利亚季风的δ18O趋势有贡献,在南美洲、中美洲和亚洲观测到微弱的源区温度效应。降水再循环对南美洲西南部和非洲南部有影响。总体而言,我们的分析表明,区分特定气候机制对降水δ18O的影响是可能的,并利用这一分析来解释洞穴δ18O的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A data-model approach to interpreting speleothem oxygen isotope records from monsoon regions on orbital timescales
Abstract. Reconstruction of past changes in monsoon climate from speleothem oxygen isotope (δ18O) records is complex because δ18O signals can be influenced by multiple factors including changes in precipitation, precipitation recycling over land, temperature at the moisture source and changes in the moisture source region and transport pathway. Here, we analyse > 150 speleothem records from version 2 of the Speleothem Isotopes Synthesis and Analysis (SISAL) database to produce composite regional trends in δ18O in monsoon regions; compositing minimises the influence of site-specific karst and cave processes that can influence individual site records. We compare speleothem δ18O observations with isotope-enabled climate model simulations to investigate the specific climatic factors causing these regional trends. We focus on differences in δ18O signals between interglacial (mid-Holocene and Last Interglacial) and glacial (Last Glacial Maximum) states, and on δ18O evolution through the Holocene. Differences in speleothem δ18O between the mid-Holocene and Last Interglacial in the East Asian and Indian monsoons are small, despite the larger summer insolation values during the Last Interglacial. Last Glacial Maximum δ18O values are significantly less negative than interglacial values. Comparison with simulated glacial-interglacial δ18O shows that changes are principally driven by global shifts in temperature and regional precipitation. Holocene speleothem δ18O records show distinct and coherent regional trends. Trends are similar to summer insolation in India, China and southwestern South America, but different in the Indonesian-Australian region. Redundancy analysis shows that 37 % of Holocene variability can be accounted for by latitude and longitude, supporting the differentiation of records into individual monsoon regions. Regression analysis of simulated precipitation δ18O and climate variables show that global Holocene monsoon δ18O trends are driven by changes in precipitation, atmospheric circulation and (to a lesser extent) source area temperature, whilst precipitation recycling is non-significant. However, there are differences in regional scale mechanisms; there are clear relationships between changes in precipitation and in δ18O for India, southwestern South America and the Indonesian-Australian regions, but not for the East Asian monsoon. Changes in atmospheric circulation contributes to δ18O trends in the East Asian, Indian and Indonesian-Australian monsoons, and a weak source area temperature effect is observed over southern and central America and Asia. Precipitation recycling is influential in southwestern South America and southern Africa. Overall, our analyses show that it is possible to differentiate the impacts of specific climatic mechanisms influencing precipitation δ18O and use this analysis to interpret changes in speleothem δ18O.
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