Evolution of Global Ocean Tide Levels Since the Last Glacial Maximum

IF 3.2 2区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Paleoceanography and Paleoclimatology Pub Date : 2023-04-26 DOI:10.1029/2022PA004556
R. Sulzbach, V. Klemann, G. Knorr, H. Dobslaw, H. Dümpelmann, G. Lohmann, M. Thomas
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引用次数: 1

Abstract

This study addresses the evolution of global tidal dynamics since the Last Glacial Maximum focusing on the extraction of tidal levels that are vital for the interpretation of geologic sea‐level markers. For this purpose, we employ a truly‐global barotropic ocean tide model which considers the non‐local effect of Self‐Attraction and Loading. A comparison to a global tide gauge data set for modern conditions yields agreement levels of 65%–70%. As the chosen model is data‐unconstrained, and the considered dissipation mechanisms are well understood, it does not have to be re‐tuned for altered paleoceanographic conditions. In agreement with prior studies, we find that changes in bathymetry during glaciation and deglaciation do exert critical control over the modeling results with minor impact by ocean stratification and sea ice friction. Simulations of 4 major partial tides are repeated in time steps of 0.5–1 ka and augmented by 4 additional partial tides estimated via linear admittance. These are then used to derive time series from which the tidal levels are determined and provided as a global data set conforming to the HOLSEA format. The modeling results indicate a strengthened tidal resonance by M2, but also by O1, under glacial conditions, in accordance with prior studies. Especially, a number of prominent changes in local resonance conditions are identified, that impact the tidal levels up to several meters difference. Among other regions, resonant features are predicted for the North Atlantic, the South China Sea, and the Arctic Ocean.
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上一次冰川盛期以来全球海平面的演变
这项研究探讨了自上一次冰川盛期以来全球潮汐动力学的演变,重点是提取对解释地质海平面标志至关重要的海平面。为此,我们采用了一个真正的全球正压海潮模型,该模型考虑了自吸引和荷载的非局部效应。与现代条件下的全球验潮仪数据集进行比较,得出的一致水平为65%-70%。由于所选择的模型是数据不受约束的,并且所考虑的耗散机制也得到了很好的理解,因此不必根据改变的古海洋条件对其进行重新调整。与先前的研究一致,我们发现冰川作用和冰川消退期间水深的变化确实对建模结果产生了关键控制,而海洋分层和海冰摩擦的影响较小。以0.5–1 ka的时间步长重复对4个主要分潮的模拟,并通过线性导纳估计的4个附加分潮来增强模拟。然后,这些数据被用来推导时间序列,从中确定潮汐水位,并作为符合HOLSEA格式的全球数据集提供。建模结果表明,根据先前的研究,在冰川条件下,M2和O1增强了潮汐共振。特别是,发现了局部共振条件的一些显著变化,这些变化影响了高达数米的潮汐水位差。在其他地区中,预计北大西洋、南中国海和北冰洋将出现共振特征。
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来源期刊
Paleoceanography and Paleoclimatology
Paleoceanography and Paleoclimatology Earth and Planetary Sciences-Atmospheric Science
CiteScore
6.20
自引率
11.40%
发文量
107
期刊介绍: Paleoceanography and Paleoclimatology (PALO) publishes papers dealing with records of past environments, biota and climate. Understanding of the Earth system as it was in the past requires the employment of a wide range of approaches including marine and lacustrine sedimentology and speleothems; ice sheet formation and flow; stable isotope, trace element, and organic geochemistry; paleontology and molecular paleontology; evolutionary processes; mineralization in organisms; understanding tree-ring formation; seismic stratigraphy; physical, chemical, and biological oceanography; geochemical, climate and earth system modeling, and many others. The scope of this journal is regional to global, rather than local, and includes studies of any geologic age (Precambrian to Quaternary, including modern analogs). Within this framework, papers on the following topics are to be included: chronology, stratigraphy (where relevant to correlation of paleoceanographic events), paleoreconstructions, paleoceanographic modeling, paleocirculation (deep, intermediate, and shallow), paleoclimatology (e.g., paleowinds and cryosphere history), global sediment and geochemical cycles, anoxia, sea level changes and effects, relations between biotic evolution and paleoceanography, biotic crises, paleobiology (e.g., ecology of “microfossils” used in paleoceanography), techniques and approaches in paleoceanographic inferences, and modern paleoceanographic analogs, and quantitative and integrative analysis of coupled ocean-atmosphere-biosphere processes. Paleoceanographic and Paleoclimate studies enable us to use the past in order to gain information on possible future climatic and biotic developments: the past is the key to the future, just as much and maybe more than the present is the key to the past.
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