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Preprints

There are 6976 Preprints listed.

Brittle Deformation of Carbonated Peridotite – Insights from Listvenites of the Samail Ophiolite (Oman Drilling Project Hole BT1B)

Manuel D. Menzel, Janos Urai, Juan Carlos de Obeso, et al.

Published: 2020-05-28
Subjects: Earth Sciences, Geology, Physical Sciences and Mathematics

Hole BT1B of the Oman Drilling Project provides a continuous sampling from listvenite into the metamorphic sole that preserves the deformation, hydration and carbonation processes of oceanic mantle peridotite at the base of the Samail ophiolite, Oman. We present evidence of multistage brittle deformation in listvenites and serpentinites based on field observations, visual core logging and [...]

Advective sorting of silt by currents: a laboratory study

Jeff Culp, Kyle Strom, Andrew Parent, et al.

Published: 2020-05-28
Subjects: Earth Sciences, Geomorphology, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Sedimentology

Accumulations of fine sediments along continental shelf and deep-sea bathymetric contours, known as contourite drifts, form a sedimentary record that is dependent on oceanographic processes such as ocean-basin-scale circulation. A tool used to aid in interpretation of such deposits is the sortable silt hypothesis, which suggests that the mean size of the sortable silt (silt from 10-63 µm) within [...]

Description of the continuous nature of organic matter in models of soil carbon dynamics

Julien Sainte-Marie, Matthieu Barrandon, Laurent Sainte-André, et al.

Published: 2020-05-29
Subjects: Applied Mathematics, Earth Sciences, Environmental Microbiology and Microbial Ecology Life Sciences, Geochemistry, Life Sciences, Microbiology, Physical Sciences and Mathematics, Soil Science

The understanding of soil organic matter (SOM) dynamics has considerably advanced in recent years. It was previously assumed that most SOM consisted of recalcitrant compounds, whereas the emerging view considers SOM as a range of polymers continuously processed into smaller molecules by decomposer enzymes. Mainstreaming these new insights in current models is challenging because of their [...]

The Whole Antarctic Ocean Model (WAOM v1.0): Development and Evaluation

Ole Richter, David Gwyther, Benjamin K. Galton-Fenzi, et al.

Published: 2020-06-12
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

The Regional Ocean Modeling System (ROMS), including an ice shelf component, has been applied on a circum-Antarctic domain to derive estimates of ice shelf basal melting. Significant improvements made compared to previous models of this scale are the inclusion of tides and a horizontal spatial resolution of 2 km, which is sufficient to resolve onshelf heat transport by bathymetric troughs and [...]

Hotspots and mantle plumes revisited: Towards reconciling the mantle heat transfer discrepancy

Mark James Hoggard, Ross Parnell-Turner, Nicky White

Published: 2020-05-27
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Mantle convection is the principal mechanism by which heat is transferred from the deep Earth to the surface. Cold subducting slabs sink into the mantle and steadily warm, whilst upwelling plumes carry heat to the base of lithospheric plates where it can subsequently escape by conduction. Accurate estimation of the total heat carried by these plumes is important for understanding geodynamic [...]

Effect of Lateral Outflow on Three-Dimensional Flow Structure in a River Delta

Mohammad Kifayath Chowdhury, Kory M Konsoer, Matthew Hiatt

Published: 2020-05-27
Subjects: Earth Sciences, Geomorphology, Hydrology, Physical Sciences and Mathematics

Spatial and temporal patterns in three-dimensional flow structure are linked to channel processes and morphology in many environments. However, there is not yet an understanding of how the flow structure is influenced by channelized and gradually distributed lateral outflows that are often prevalent in river deltas. This study presents an analysis of three-dimensional flow structure data [...]

Kilometer-scale sound speed structure that affects GNSS-A observation: Case study off the Kii channel

Yusuke Yokota, Tadashi Ishikawa, Shun-ichi Watanabe, et al.

Published: 2020-05-28
Subjects: Earth Sciences, Geophysics and Seismology, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

The Global Navigation Satellite System-Acoustic ranging combination technique (GNSS-A) is a recently developed technology to precisely detect seafloor crustal deformation. This method can also estimate km-scale underwater sound speed structure (SSS) as a by-product of monitoring seafloor crustal deformation. This paper evaluates the validity of the spatial gradient and its temporal variation of [...]

Displacement accumulation during paleoearthquakes for active normal faults on the eastern Mediterranean island of Crete

Andrew Nicol, Vasiliki Mouslopoulou, John Begg, et al.

Published: 2020-05-26
Subjects: Earth Sciences, Physical Sciences and Mathematics, Tectonics and Structure

Active normal faults on the eastern Mediterranean island of Crete form prominent limestone scarps together with basin and range topography. These faults mainly strike E-ESE and N-NNE in southern and northern Crete, respectively, with fault sets commonly intersecting and northern-trending faults a factor of three more abundant. Displacements, lengths and displacement rates have been analysed for [...]

Integrating field work, large sample hydrology and modeling to inform (inter)national governance of karst water resources

Andreas Hartmann, Yan Liu, Tunde Olarinoye, et al.

Published: 2020-05-26
Subjects: Environmental Sciences, Physical Sciences and Mathematics, Water Resource Management

Substantial changes of climate and land use are projected in many karst regions in the world for the next decades. Despite these projections, only few studies have been performed to quantify the impact of climate change and land use change on karst water resources. This is mainly due to a lack of observations of the karstic recharge and groundwater dynamics, which is prohibiting the development [...]

Fundamental laws and principles in geoinformation science

Mikko Vastaranta, Ninni Saarinen, Tuomas Yrttimaa, et al.

Published: 2020-04-11
Subjects: Forest Sciences, Geographic Information Sciences, Geography, Life Sciences, Social and Behavioral Sciences

Scientific laws are empirical statements, based on repeated experiments or observations, that describe or predict a range of natural phenomena. There are scientific laws and law-like statements also in the field of geoinformation sciences. Based on the Tobler’s first law of geography, “everything is related to everything else, but near things are more related than distant things”. This first law [...]

Optimal processing for seismic noise correlations

Andreas Fichtner, Daniel Bowden, Laura A Ermert

Published: 2020-05-27
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

A wide spectrum of processing schemes is commonly applied during the calculation of seismic noise correlations. This is intended to suppress large-amplitude transient and monochromatic signals, to accelerate convergence of the correlation process, or to modify raw correlations into more plausible approximations of inter-station Greens functions. Many processing schemes, such as one-bit [...]

UNSEEN trends: Detecting decadal changes in 100-year precipitation extremes

Timo Kelder, Malte Muller, Louise J. Slater, et al.

Published: 2020-05-26
Subjects: Atmospheric Sciences, Civil and Environmental Engineering, Climate, Earth Sciences, Engineering, Environmental Sciences, Hydrology, Meteorology, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Sample sizes of observed climate extremes are typically too small to reliably constrain non-stationary behaviour. To facilitate detection of non-stationarities in 100-year precipitation values over a short period of 35 years (1981-2015), we apply the UNprecedented Simulated Extreme ENsemble (UNSEEN) approach, by pooling ensemble members and lead times from the ECMWF seasonal prediction system [...]

Stress Recovery for the Particle-in-cell Finite Element Method

Haibin Yang, Louis N. Moresi, John Mansour

Published: 2020-05-26
Subjects: Applied Mathematics, Computer Sciences, Earth Sciences, Geophysics and Seismology, Mathematics, Numerical Analysis and Computation, Numerical Analysis and Scientific Computing, Physical Sciences and Mathematics, Tectonics and Structure

The interelement stress in the Finite Element Method is not continuous in nature, and stress projections from quadrature points to mesh nodes often causes oscillations. The widely used particle-in-cell method cannot avoid this issue and produces worse results when there are mixing materials of large strength (e.g., viscosity in Stokes problems) contrast in one element. The post-processing methods [...]

Preservation of Organic Carbon in Dolomitized Cambrian Stromatolites and Implications for Microbial Biosignatures in Diagenetically Replaced Carbonate Rock

Ashley Murphy, Scott T. Wieman, Juliane Gross, et al.

Published: 2020-05-26
Subjects: Biogeochemistry, Earth Sciences, Geochemistry, Geology, Physical Sciences and Mathematics, Planetary Geology, Planetary Sciences

Stromatolites have been a major focus in the search for ancient microbial life, however, the organic carbon biosignatures of dolomitized stromatolites have not yet been fully characterized or correlated with their dolomitizing conditions. Although dolomitization rarely preserves microbial morphology, the presence of organic carbon can provide valuable information for characterization of fossils’ [...]

Automated Seismic Source Characterisation Using Deep Graph Neural Networks

Martijn van den Ende, Jean Paul Ampuero

Published: 2020-05-25
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Most seismological analysis methods require knowledge of the geographic location of the stations comprising a seismic network. However, common machine learning tools used in seismology do not account for this spatial information, and so there is an underutilised potential for improving the performance of machine learning models. In this work, we propose a Graph Neural Network (GNN) approach that [...]

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