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Preprints

There are 6976 Preprints listed.

Notes on the creation and manipulation of solid solution models

Robert Myhill, James Connolly

Published: 2019-12-05
Subjects: Chemistry, Earth Sciences, Materials Chemistry, Mineral Physics, Physical Sciences and Mathematics

A large class of solid solution models are built on the premise that exchange of chemical species takes place on a finite number of unique sites, and that the thermodynamic properties of the solution are a function of the proportions of species occupying each of the sites. The site-occupancy spaces spanned by such models are geometrically equivalent to convex polytopes, n-dimensional [...]

Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence

Tom George, Georgy Manucharyan, Andrew Thompson

Published: 2019-11-15
Subjects: Earth Sciences, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Physics, Planetary Sciences

Oceans play a major role in Earths climate by storing and transporting heat via turbulent currents called mesoscale eddies. However, direct monitoring of eddy-driven heat fluxes is currently impossible because it requires simultaneous surface and subsurface observations of velocity and heat content, while only surface properties of mesoscale eddies can be comprehensively measured by satellites in [...]

Climate driven Holocene erosion in central Ukraine

Stefan Dreibrodt, Robert Hofmann, György Sipos, et al.

Published: 2019-12-05
Subjects: Earth Sciences, Geomorphology, Physical Sciences and Mathematics

The younger Quaternary erosion history was reconstructed in a catchment close to the Chalcolithic giant settlement Maidanetske, central Ukraine based on dated sediment sequences. Four trenches and a long percussion drill-core were analyzed in a valley grading from a Loess covered plateau towards the Talianky River. The sediments were dated via a combination of radiocarbon dating, optical [...]

An interpreted language implementation of the Vaganov-Shashkin tree-ring proxy system model

Kevin Anchukaitis, Michael N Evans, Malcolm Hughes, et al.

Published: 2019-12-05
Subjects: Climate, Earth Sciences, Environmental Sciences, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

We describe the implementation of the Vaganov-Shashkin tree-ring growth model (VSM) in MATLAB. VSM, originally written in Fortran, mimics subdaily and daily resolution processes of cambial growth as a function of soil moisture, air temperature, and insolation, with environmental forcing modeled as the principle of limiting factors. The re-implementation in a high level interpreted language, [...]

Fossil fuel combustion is driving indoor CO2 toward levels harmful to human cognition

Kristopher Karnauskas, Shelly Miller, Anna Schapiro

Published: 2019-12-04
Subjects: Climate, Cognitive Neuroscience, Life Sciences, Neuroscience and Neurobiology, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Human activities are elevating atmospheric carbon dioxide concentrations to levels unprecedented in human history. The majority of anticipated impacts of anthropogenic CO2 emissions are mediated by climate warming. Recent experimental studies in the fields of indoor air quality and cognitive psychology and neuroscience, however, have revealed significant direct effects of indoor CO2 levels on [...]

Abrupt Arctic Warming Repeatedly Led to Prolonged Drought and Glacial Retreat in the Tropical Andes During the Last Glacial Cycle

Arielle Woods, Don Rodbell, Mark Abbott, et al.

Published: 2019-12-04
Subjects: Earth Sciences, Geochemistry, Geology, Physical Sciences and Mathematics, Sedimentology

A sediment core spanning the last ~50 ka from Lake Junín (Peru) in the tropical Andes reveals abrupt climatic events on a centennial-millennial time scale. These events, which involved the near-complete disappearance of glaciers below 4700 masl in the eastern Andean cordillera and major reductions in the level of Peru’s second largest lake, occurred during the abrupt warmings recorded in [...]

A machine learning approach to tungsten prospectivity modelling using knowledge-driven feature extraction and model confidence

Christopher Mark Yeomans, Robin Shail, Stephen Grebby, et al.

Published: 2019-12-05
Subjects: Earth Sciences, Geology, Other Earth Sciences, Physical Sciences and Mathematics

Novel mineral prospectivity modelling presented here applies knowledge-driven feature extraction to a data-driven machine learning approach for tungsten mineralisation. The method emphasises the importance of appropriate model evaluation and develops a new Confidence Metric to generate spatially refined and robust exploration targets. The data-driven Random Forest™ algorithm is employed to model [...]

Spatial Statistics on the Geospatial Web

Matthias Hinz, Daniel Nüst, Benjamin Proß, et al.

Published: 2020-06-17
Subjects: Computational Engineering, Computer Sciences, Engineering, Physical Sciences and Mathematics

The Geospatial Web provides data as well as processing functionality using web interfaces. Typical examples of such processes are models and predictions for spatial data, known as spatial statistics. Such analyses are written by domain experts in scripting languages and rarely exposed as web services. We present a concept of script annotations for automatic deployment in server runtime [...]

Estimation of surface and deep flows from sparse SSH observations of geostrophic ocean turbulence using Deep Learning

Georgy Manucharyan, Lia Siegelman, Patrice Klein

Published: 2019-12-05
Subjects: Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Satellite altimeters provide global observations of sea surface height (SSH) and present a unique dataset for advancing our theoretical understanding of upper ocean dynamics and monitoring its variability. Considering that mesoscale SSH patterns of 50--300 km in size can evolve on timescales comparable to or shorter than satellite return periods, it is challenging to accurately reconstruct the [...]

Spatiotemporal correlation analysis of noise-derived seismic body waves with ocean wave climate and microseism sources

Lei Li, Pierre Boue, Lise Retailleau, et al.

Published: 2019-12-04
Subjects: Earth Sciences, Geophysics and Seismology, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Seismic signals can be extracted from ambient noise wavefields by the correlation technique. Recently, a prominent P‐type phase was observed from teleseismic noise correlations in the secondary microseism period band. The phase is named Pdmc in this paper, corresponding to its origin from the interference between the direct P waves transmitting through the deep mantle and the core (P and PKPab [...]

Scaling Laws for Regional Stratification at the top of Earth’s Core

Jonathan Mound, Chris Davies

Published: 2019-12-05
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Seismic and geomagnetic observations have been used to argue both for and against a global stratified layer at the top of Earth’s outer core. Recently, we used numerical models of turbulent thermal convection to show that imposed lateral variations in core-mantle boundary (CMB) heat flow can give rise to regional lenses of stratified fluid at the top of the core while the bulk of the core remains [...]

Stronger Atlantic hurricanes: Validating Elsner et al. (2008)

James B Elsner

Published: 2019-12-05
Subjects: Climate, Earth Sciences, Environmental Sciences, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Using satellite derived wind speed estimates from tropical cyclones over the 25-year period 1981--2006, Elsner et al. (2008) showed the strongest tropical cyclones getting stronger. They related the increasing intensity to rising ocean temperatures consistent with theory. Oceans continued to warm since that paper was published so the intensity of the strongest cyclones should have continued [...]

Quantifying Computational Efficiency of Adaptive Mesh Refinement for Shallow Water Solvers

Nicole Beisiegel, Cristóbal E. Castro, Jörn Behrens

Published: 2019-12-04
Subjects: Computer Sciences, Numerical Analysis and Scientific Computing, Physical Sciences and Mathematics

Non-uniform, dynamically adaptive meshes are a useful tool for reducing computational complexities for geophysical simulations that exhibit strongly localised features such as is the case for example for tsunami, hurricane or typhoon prediction. Theoretical insight for mesh-based numerical methods, however, is largely restricted to uniform meshes as they allow for a traditional definition of [...]

Active deformation and Plio-Pleistocene fluvial reorganization of the western Kura Fold-Thrust Belt, Georgia: implications for the evolution of the Greater Caucasus mountains and seismic hazard

Lasha Sukhishvili, Adam Matthew Forte, Giorgi Merebashvili, et al.

Published: 2020-01-01
Subjects: Earth Sciences, Geology, Geomorphology, Physical Sciences and Mathematics, Tectonics and Structure

Since the Plio-Pleistocene, southward migration of shortening in the eastern part of the Greater Caucasus (GC) into the Kura foreland basin has progressively formed the Kura-Fold Thrust belt (KFTB) and Alazani piggyback basin, which separates the KFTB from the GC. Previous work argued for an eastward propagation of the KFTB, implying that the western portion in Georgia is the oldest, but this [...]

No support for carbon storage of >1000 GtC in northern peatlands

Zicheng Yu, Fortunat Joos, Thomas K. Bauska, et al.

Published: 2019-12-04
Subjects: Biogeochemistry, Earth Sciences, Physical Sciences and Mathematics

Northern peatlands store large amounts of carbon (C) and have played an important role in the global carbon cycle since the Last Glacial Maximum. Most northern peatlands have established since the end of the deglaciation and accumulated C over the Holocene, leading to a total present-day stock of 500 ± 100 GtC. This is a consolidated estimate, emerging from a diversity of methods. Recently, [...]

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