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沉积噪声与海平面变化与陆海水分交换和倾斜强迫有关。

Sedimentary noise and sea levels linked to land-ocean water exchange and obliquity forcing.

机构信息

State Key Laboratory of Biogeology and Environmental Geology, School of Earth Sciences, China University of Geosciences, Wuhan, 430074, Hubei, China.

Department of Atmospheric, Oceanic, and Earth Sciences, George Mason University, Fairfax, Virginia, 22030, USA.

出版信息

Nat Commun. 2018 Mar 8;9(1):1004. doi: 10.1038/s41467-018-03454-y.

DOI:10.1038/s41467-018-03454-y
PMID:29520064
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5843644/
Abstract

In ancient hothouses lacking ice sheets, the origins of large, million-year (myr)-scale sea-level oscillations remain a mystery, challenging current models of sea-level change. To address this mystery, we develop a sedimentary noise model for sea-level changes that simultaneously estimates geologic time and sea level from astronomically forced marginal marine stratigraphy. The noise model involves two complementary approaches: dynamic noise after orbital tuning (DYNOT) and lag-1 autocorrelation coefficient (ρ). Noise modeling of Lower Triassic marine slope stratigraphy in South China reveal evidence for global sea-level variations in the Early Triassic hothouse that are anti-phased with continental water storage variations in the Germanic Basin. This supports the hypothesis that long-period (1-2 myr) astronomically forced water mass exchange between land and ocean reservoirs is a missing link for reconciling geological records and models for sea-level change during non-glacial periods.

摘要

在缺乏冰盖的古代温室中,大规模、百万年(myr)尺度海平面震荡的起源仍然是一个谜,这对当前的海平面变化模型提出了挑战。为了解决这个谜团,我们开发了一种用于海平面变化的沉积噪声模型,该模型可以根据天文强迫的边缘海洋地层同时估计地质时间和海平面。噪声模型涉及两种互补的方法:轨道调谐后的动态噪声(DYNOT)和滞后 1 自相关系数(ρ)。对华南下三叠统海相斜坡地层的噪声建模揭示了早三叠世温室中存在全球海平面变化的证据,与日耳曼盆地大陆水储量变化呈反相关。这支持了这样一种假设,即在陆地和海洋储层之间进行长周期(1-2 myr)天文强迫的水体交换是调和地质记录和非冰川期海平面变化模型的缺失环节。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/c07e7486a7a2/41467_2018_3454_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/49b87ee9ec24/41467_2018_3454_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/c305ff1efca8/41467_2018_3454_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/c868549ce96d/41467_2018_3454_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/3a12c9508743/41467_2018_3454_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/45489d0b8a64/41467_2018_3454_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/f38067fe0d57/41467_2018_3454_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/c07e7486a7a2/41467_2018_3454_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/49b87ee9ec24/41467_2018_3454_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/c305ff1efca8/41467_2018_3454_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/c868549ce96d/41467_2018_3454_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/3a12c9508743/41467_2018_3454_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/45489d0b8a64/41467_2018_3454_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/f38067fe0d57/41467_2018_3454_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/637c/5843644/c07e7486a7a2/41467_2018_3454_Fig7_HTML.jpg

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