Preprints

Filtering by Subject: Physical Sciences and Mathematics

Dynamics of episodic supershear in the 2023 M7.8 Kahramanmaraş/Pazarcik Earthquake, revealed by near-field records and computational modeling

Mohamed Abdelmeguid, Chunhui Zhao, Esref Yalcinkaya, et al.

Published: 2023-05-03
Subjects: Engineering, Physical Sciences and Mathematics

The 2023 M7.8 Kahramanmaraş/Pazarcik earthquake was larger and more destructive than what had been expected. Here we analyzed near-field seismic records and developed a dynamic rupture model that reconciles different currently conflicting inversion results and reveals spatially non-uniform propagation speeds in this earthquake, with predominantly supershear speeds observed along the Narli fault [...]

Soil pore water evaporation and temperature influences on clay mineral paleothermometry

Daniel Enrique Ibarra, Jaivime Evaristo

Published: 2023-05-02
Subjects: Earth Sciences, Physical Sciences and Mathematics

Clay mineral isotope paleothermometry is fundamental to understanding Earth's climate system and landscape evolution. Status quo methods, however, assume constant factors, such as temperature and water isotopic compositions, and ignore seasonality, soil water evaporation and depth dependent temperature changes. We propose first-order modifications to address these factors and test them in a [...]

Linear analysis of ice-shelf topography response to basal melting and freezing

Aaron Grey Stubblefield, Colin R. Meyer, Martin Wearing

Published: 2023-04-28
Subjects: Applied Mathematics, Dynamic Systems, Earth Sciences, Fluid Dynamics, Glaciology, Physical Sciences and Mathematics, Physics

Floating ice shelves in Antarctica and Greenland limit land-ice contributions to sea level rise by resisting the flow of grounded ice. Melting at the surface and base of ice shelves can lead to destabilisation by promoting thinning and fracturing. Basal melting often results in channelised features that manifest as surface topography due to buoyancy. The assumption of hydrostatic flotation [...]

How particle shape affects granular segregation in industrial and geophysical flows

Fernando David Cunez, Div Patel, Rachel Glade

Published: 2023-04-28
Subjects: Engineering, Physical Sciences and Mathematics

Industrial and environmental granular flows commonly exhibit a phenomenon known as ``granular segregation," in which grains separate according to physical characteristics (size, shape, density), interfering with industrial applications (cement mixing, medicine and food production) and fundamentally altering the behavior of geophysical flows (landslides, debris flows, pyroclastic flows, [...]

APWP-online.org: a global reference database and open-source tools for calculating apparent polar wander paths and relative paleomagnetic displacements

Bram Vaes, Douwe J.J. van Hinsbergen, Joren Paridaens

Published: 2023-04-28
Subjects: Physical Sciences and Mathematics

Paleomagnetism provides a quantitative tool for estimating paleogeographic displacements of rock units relative to the Earth’s spin axis and is widely used to determine relative tectonic displacements (vertical-axis rotations and paleolatitudinal motions). These relative displacements are commonly determined by comparing a study-mean paleomagnetic pole with a reference pole provided by an [...]

Rupture phase in near-fault records of the 2023 Turkey Mw 7.8 earthquake

Suli Yao, Hongfeng Yang

Published: 2023-04-28
Subjects: Physical Sciences and Mathematics

Understanding and deciphering wiggles especially coherent phases from seismograms have been a long endeavor to understand the earth structure and earthquake source. However, coherent phases directly associated with earthquake rupture propagation have not been available due to the lack of continuous near-fault observations. Here we report the rupture phase as large velocity pulses during the 2023 [...]

Reconstructing subglacial lake activity with an altimetry-based inverse method

Aaron Grey Stubblefield, Colin R. Meyer, Matthew Siegfried, et al.

Published: 2023-04-28
Subjects: Earth Sciences, Glaciology, Physical Sciences and Mathematics

Subglacial lake water-volume changes produce ice-elevation anomalies that provide clues about water flow beneath glaciers and ice sheets. Significant challenges remain in the quantitative interpretation of these elevation-change anomalies because the surface expression of subglacial lake activity depends on basal conditions, rate of water-volume change, and ice rheology. To address these [...]

A machine learning-based thermometer, barometer and hygrometer for magmatic liquids

Gregor Weber, Jon Blundy

Published: 2023-04-27
Subjects: Physical Sciences and Mathematics

Experimentally calibrated models to recover pressures, temperatures and water contents of magmas, are widely used in igneous petrology. However, large errors, especially in barometry, limit the capacity of these models to resolve the architecture of crustal igneous systems. Here we apply machine learning to a large experimental database to calibrate new regression models that recover P-T-H2O of [...]

Workshop report: Modelling volatile behaviour in magmas

Ery Catherine Hughes, Shuo Ding, Kayla Iacovino, et al.

Published: 2023-04-23
Subjects: Physical Sciences and Mathematics

Volatiles are a critical component of magmas, driving volcanic eruptions, creating and modifying planetary atmospheres, and generating ore deposits. There has been an immense amount of work quantifying the solubility of individual volatile species in a wide variety of magma compositions and the creation of various modelling capabilities to look at magmatic degassing.  This workshop aimed to [...]

CDR modeled in MAGICC to return to preindustrial temperatures by 2100

Shannon A Fiume

Published: 2023-04-22
Subjects: Physical Sciences and Mathematics

Scenario pathways greatly inform the opportunity space of possible future climates. The multistep experiment tests the Alternative Method to Determine a Carbon Dioxide Removal Target’s thesis by simulating the novel pathway '300x2050,' SSP1-2.6, and SSP1-1.9 comparing within green growth development in MAGICC 6.8 by removing all cumulative anthropogenic CO₂ over 80 years and phasing out [...]

From strain to displacement: using deformation to enhance distributed acoustic sensing applications

Alister Trabattoni, Francesco Biagioli, Claudio Strumia, et al.

Published: 2023-04-21
Subjects: Physical Sciences and Mathematics

Over a period of less than a decade, Distributed Acoustic Sensing (DAS) has become a well-established technology in seismology. For historical and practical reasons, DAS manufacturers usually provide instruments that natively record strain (rate) as the principal measurement. While at first glance strain recordings seem related to ground motion waveforms (displacement, velocity, acceleration), [...]

On Constructing Limits-of-Acceptability in Watershed Hydrology using Decision Trees

Abhinav Gupta, Rao Govindaraju, Pin-Ching Li, et al.

Published: 2023-04-20
Subjects: Physical Sciences and Mathematics

A hydrological model incurs three types of uncertainties: measurement, structural and parametric uncertainty. For instance, in rainfall-runoff models, measurement uncertainty exists due to errors in measurements of rainfall and streamflow data. Structural uncertainty exists due to errors in mathematical representation of hydrological processes. Parametric uncertainty is a consequence of our [...]

High-resolution geodetic strain rate field reveals dynamics of the India-Eurasia collision

Tim J Wright, Greg Houseman, Jin Fang, et al.

Published: 2023-04-20
Subjects: Physical Sciences and Mathematics

Determining the distribution of seismic hazard in the continents requires an understanding of how much deformation is accommodated by major faults. Quantifying the role of major faults in continental deformation has been hampered by a lack of high-resolution observations in the deforming interiors of continents. By combining surface movement data derived from 22,000 satellite radar images with [...]

Aboveground biomass estimates from UAV LiDAR improved via contextual learning in a Norway spruce forest

Jaime C Revenga, Stefan Oehmcke, Mana Gharun, et al.

Published: 2023-04-19
Subjects: Engineering, Life Sciences, Physical Sciences and Mathematics

Forest structure analysis and biomass prediction systems are key tools for advancingforest trait-based ecology and management. Surveys using Unmanned Aerial Vehicles(UAV) and Light Detection and Ranging (LiDAR) systems have contributedto this field with increased accuracy in tree phenotyping. Moreover, methods combiningUAV LiDAR surveying and machine learning (ML) have also emerged to [...]

Proposal of a new climate classification based on Köppen and Trewartha

Lirongtuo Xin

Published: 2023-04-17
Subjects: Physical Sciences and Mathematics

A new and detailed climate classification based on Köppen-Geiger and Trewartha schemes is proposed, which uses four components (thermal zone, continentality, humidity, and seasonal distribution of precipitation) to determine a location’s climate type. It specifies thermal zones into nine types by subdividing tropical, subtropical, temperate, and polar zones, which are based on original Trewartha [...]

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