JOURNAL ARTICLE

Diverse Orbital‐Scale Variations of Precipitation Oxygen Isotopes in the Northern Hemisphere Mid‐Latitudes: A Comparative Study Between East Asia and North America.

  • Published In: Paleoceanography & Paleoclimatology, 2024, v. 39, n. 7. P. 1 1 of 3

  • Database: Environment Complete 2 of 3

  • Authored By: Li, Yuanyuan; Liu, XiaoDong; Xie, Xiaoxun; Yin, Zhi‐Yong 3 of 3

Abstract

The oxygen isotope (δ18O) records of paleo‐precipitation contain abundant information on past climate changes. Nevertheless, at the orbital scale, our current understanding about the characteristics and mechanisms of precipitation oxygen isotope (δ18Op) variations in the Northern Hemisphere (NH) mid‐latitudes remains limited due to the lack of abundant long‐term geological records. In this study, based on a 300‐ka transient simulation involving stable isotope fractionation processes, we systematically analyzed the characteristics of the orbital‐scale δ18Op variations and their potential mechanisms, especially in two representative regions: mid‐latitude East Asia (MEA) and mid‐latitude North America (MNA) located in the Eastern and Western Hemispheres respectively. Our findings reveal that the MEA δ18Op is dominated by a 23‐ka cycle, ultimately driven by the precession‐induced insolation variation; while the MNA δ18Op primarily exhibits a 100‐ka glacial‐interglacial cycle and is eventually governed by the ice volume forcing. The δ18Op changes in these two regions not only present diverse dominant cycles and forcing factors, but also involve distinct physical processes. In MEA, water vapor transport by the westerly circulation during the rainy season (May–August) is the key process linking the April–July boreal insolation with the annual/rainy‐season δ18Op variations. In contrast, the annual δ18Op changes in MNA mainly depend on the water vapor transport processes triggered by the expansion and retreat of the North American ice sheet, albeit with certain influence of the temperature effect as well. These results suggest that the dominant periodicities and forcing mechanisms of the orbital‐scale δ18Op variations across the NH mid‐latitudes are complex and varied. Plain Language Summary: The changes in precipitation δ18O (δ18Op) can indicate the evolution history of Earth's climate. However, previous studies have paid less attention to the mid‐latitude regions and the mechanisms of climate evolution at the orbital scale in this region are not fully understood. Based on the output of an isotope‐enabled climate model, we examined the variation characteristics of δ18Op among different lands in the Northern Hemisphere mid‐latitudes. We found that on the orbital scale, the δ18Op variations in mid‐latitude East Asia have a dominant period of 23‐ka, and are controlled by the April–July insolation that alters the atmospheric circulation. In contrast, the δ18Op variations in mid‐latitude North America are governed by a 100‐ka cycle and are influenced by the Northern American ice sheet. This linkage is accomplished through different circulation processes and temperature changes arising from the expansion and retreat of the North American ice sheet. Key Points: The orbital‐scale variations in precipitation δ18O (δ18Op) have significant regional differencesThe 23‐ka cycle‐dominated annual δ18Op variation in mid‐latitude East Asia is driven by precession‐controlled boreal April–July insolationThe 100‐ka cycle‐dominated annual δ18Op variation in mid‐latitude North America is controlled by North American ice sheet volume fluctuation [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Paleoceanography & Paleoclimatology. 2024/07, Vol. 39, Issue 7, p1
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2024
  • ISSN:2572-4525
  • DOI:10.1029/2024PA004914
  • Accession Number:178684384
  • Copyright Statement:Copyright of Paleoceanography & Paleoclimatology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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