Reconstructing early Eocene (∼55 Ma) paleogeographic boundary conditions for use in paleoclimate modelling

He, Zhilin; Zhang, Zhongshi; Guo, Zhengtang

doi:10.1007/s11430-019-9366-2

Cited by 5 publications

(16 citation statements)

References 74 publications

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“…In these maps, the Gangdese Mountains and the Southeast Mountains are coterminous with a long extension, and both are ∼1,500 m high (Figures S1a and S1c in Supporting Information S1). In contrast, in the boundary conditions of He et al (2019), the Zhe-Min Highlands range is relatively small, and the Nanling Mountains are absent (Figure S1b in Supporting Information S1).…”

Section: Experimental Designmentioning

confidence: 99%

“…The Gangdese Mountains occupy ∼8 model grids. Since the recent Eocene paleogeographic maps (Baatsen et al., 2020; He et al., 2019; Herold et al., 2014; Lunt et al., 2017) suggested that the elevation range of the Southeast Mountains was ∼500–2,500 m, we used four conditions (∼1,000, ∼1,500, ∼2,000, ∼2,500 m) for the Southeast Mountains. The Southeast Mountains occupy ∼10 model grids.…”

Section: Model and Experimental Designmentioning

confidence: 99%

“…Based on the boundary conditions reconstructed by He et al. (2019), we modified the topography of the mountains in South China to conduct atmosphere‐only sensitivity experiments. The horizontal resolution of the atmosphere model CAM4 is f19 (∼2°).…”

Section: Model and Experimental Designmentioning

confidence: 99%

“…In the past two decades, several Eocene paleogeographic maps have been produced, such as those of Sewall et al (2000), Bice and Marotzke (2001), Markwick (2007), Herold et al (2014), Scotese (2014), He et al (2019), andPoblete et al (2021). These maps show large differences in the topography of East Asia, particularly the mountains in Southern China, including the Gangdese Mountains, the Nanling Mountains, and the Zhe-Min Highlands.…”

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confidence: 99%

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Impact of Mountains in Southern China on the Eocene Climates of East Asia

Zhang

et al. 2022

JGR Atmospheres

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Several regional climates during the Eocene are still under debate, and the Eocene environment of China is a particular focus of the discussion. One view, based on the widely distributed pollen of Ephedripites, as well as red beds and evaporite sediments, suggests that a dry zonal belt (Figure 1a) dominated mid-latitude China from west to east (Guo et al., 2002,;Sun & Wang, 2005;Wang, 1990). To the north and the south of the arid zonal belt, humid climates appeared in Northeast and South China, where pollen assemblages indicative of humid conditions, as well as coal and oil shales, occur in Eocene sediments (

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Section: Experimental Designmentioning

confidence: 99%

Section: Model and Experimental Designmentioning

confidence: 99%

Section: Model and Experimental Designmentioning

confidence: 99%

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confidence: 99%

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Impact of Mountains in Southern China on the Eocene Climates of East Asia

Zhang

et al. 2022

JGR Atmospheres

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“…As well as mapping sediments based on recorded lithologies for individual drilling sites, some sediment types are extrapolated. The paleobathymetry of the ocean basin model from Muller et al (2008) (http://www.earthbyte.org), early Paleogene reconstructions of paleobathymetry (He et al, 2019), and the CCD records from literature are used to infer the calcareous depositional areas. This was achieved by comparison with reconstructed positions of mid-ocean ridges, as these by their nature represent areas of significant elevation above the seafloor.…”

Section: Sediment Extrapolationmentioning

confidence: 99%

Evolution of deep-sea sediments across the Paleocene-Eocene and Eocene-Oligocene boundaries

Wade

O’Neill

Phujareanchaiwon

et al. 2020

Earth-Science Reviews

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The composition and distribution of deep-sea sediments is the result of a multitude of climatic, biotic and oceanic conditions relating to biogeochemical cycles and environmental change. Here we utilize the extensive sediment archives of the International Ocean Discovery Program (IODP) and its predecessors to construct maps of deep-sea sediment type across two critical but contrasting boundaries in the Paleogene, one characterised by an interval of extreme warmth (Paleocene/Eocene) and the other by global cooling (Eocene/Oligocene). Ocean 2 sediment distribution shows significant divergence both between the latest Paleocene and Paleocene Eocene Thermal Maximum (PETM), across the Eocene-Oligocene Transition (EOT), and in comparison to modern sediment distributions. Carbonate sedimentation in the latest Paleocene extends to high southern latitudes. Disappearance of carbonate sediments at the PETM is well documented and can be attributed to dissolution caused by significant ocean acidification as a result of carbon-cycle perturbation. Biosiliceous sediments are rare and it is posited that the reduced biogenic silica deposition at the equator is commensurate with an overall lack of equatorial upwelling in the early Paleogene ocean. In the Southern Ocean, we attribute the low in biosiliceous burial, to the warm deep water temperatures which would have impacted biogenic silica preservation. In the late Eocene, our sediment depositional maps record a tongue of radiolarian ooze in the eastern equatorial Pacific. Enhanced biosiliceous deposits in the late Eocene equatorial Pacific and Southern Ocean are due to increased productivity and the spin-up of the oceans. Our compilation documents the enhanced global carbonate sedimentation in the early Oligocene, confirming that the drop in the carbonate compensation depth was global.

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Influence of plate reference frames on deep-time climate simulations

Zhang,

Nummelin

et al. 2024

Global and Planetary Change

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Reconstructing early Eocene (∼55 Ma) paleogeographic boundary conditions for use in paleoclimate modelling

Cited by 5 publications

References 74 publications

Impact of Mountains in Southern China on the Eocene Climates of East Asia

Impact of Mountains in Southern China on the Eocene Climates of East Asia

Evolution of deep-sea sediments across the Paleocene-Eocene and Eocene-Oligocene boundaries

Influence of plate reference frames on deep-time climate simulations

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