Preprints
Filtering by Subject: Physical Sciences and Mathematics
Tectonic-metamorpic evolution of the Cretaceous Kluane Schist, southwest Yukon
Published: 2023-06-16
Subjects: Physical Sciences and Mathematics
A wealth of information regarding the Mesozoic evolution of the Northern Canadian and Alaskan Cordillera is held within a series of variably metamorphosed and deformed Jura-Cretaceous basins. Located at the interface between the pericratonic Intermontane and exotic Insular terranes, these basins may prove key to understanding the timing and tectonic style of Insular terrane accretion, a topic of [...]
Geochemistry, classification characteristics and mineralization potential of Pegmatites from Oke Ode, Kwara-State, Northeastern, Nigeria: implications for provenance and weathering history
Published: 2023-06-15
Subjects: Physical Sciences and Mathematics
Geochemical analysis of eight (8) representative pegmatite samples reveals high silica (SiO2) 56-62.05 wt % and alumina (Al2O3) 6.80-8.39 wt % contents. The alumina (Al2O3) is greater than the alkali Na2O + K2O +CaO in all the rock samples by values ranging between 0.79 and 1.25wt % implying that the rocks are peraluminous. MgO (0.00-0.00wt%), CaO (1.65-1.86wt %) and Fe2O3 (2.89-3.86 wt %) have [...]
Modeling the behaviour of sulfur in magmatic systems from source to surface: Application to Whakaari/White Island, Aotearoa New Zealand, and Etna, Italy
Published: 2023-06-14
Subjects: Physical Sciences and Mathematics
Our understanding of the role of volcanoes in the global sulfur cycle and how volcanic gas emissions can be used to monitor volcanoes is limited by the complex interactions between hydrothermal systems and volcanic sulfur emissions. Hydrothermal systems influence the amount and speciation of volcanogenic sulfur, which is ultimately released to the surface/atmosphere via a range of physicochemical [...]
Automated detecting, segmenting and measuring of grains in images of fluvial sediments: The potential for large and precise data from specialist deep learning models and transfer learning
Published: 2023-06-14
Subjects: Earth Sciences, Physical Sciences and Mathematics
The size of sedimentary particles in rivers bears information on the sediment entrainment or deposition mechanisms and the hydraulic conditions controlling them. However, collecting such data from coarse-grained sediments is work intensive, both in the field and remotely. Therefore, attention has turned to machine learning models to improve the data acquisition. Despite their success, current [...]
Projected Changes in Hot, Dry and Compound Hot-Dry Extremes over Global Land Regions
Published: 2023-06-10
Subjects: Atmospheric Sciences, Climate, Meteorology, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics
The impacts of hot, dry and compound hot-dry extremes are significant for societies, economies and ecosystems worldwide. Such events therefore need to be assessed in the light of anthropogenic climate change so that suitable adaptation measures can be implemented by governments and stakeholders. Here we show a comprehensive analysis of hot, dry and compound hot-dry extremes over global land [...]
From space-time landslide susceptibility to landslide risk forecast
Published: 2023-06-10
Subjects: Earth Sciences, Other Earth Sciences, Physical Sciences and Mathematics
The literature on landslide susceptibility is rich with examples that span a large number of topics. However, the component that pertains to the extension of the susceptibility framework toward space-time modeling is largely unexplored. This statement is even more valid when looking at the landslide risk context, where hardly any scientific contribution investigates risk dynamics in space and [...]
Atmospheric CH4 Dynamics of South-West Bangladesh: A Google Earth Engine-Based Remote Sensing Approach
Published: 2023-06-10
Subjects: Physical Sciences and Mathematics
A severe contributor to global warming, Methane (CH4) is a significant element of Green House Gases (GHGs). Both anthropogenic and natural sources are responsible for its emission. The development of satellites for remote sensing has made it convenient to study the spatiotemporal distribution of any gaseous component. Tropospheric Monitoring Instrument (TROPOMI) integrated with Sentinel-5 [...]
Characterising the flow-boundary zone in fluidised granular currents
Published: 2023-06-09
Subjects: Physical Sciences and Mathematics
Pyroclastic Density Currents (PDCs) are hazardous flows of hot gas and volcanic particles which have a diverse range of flow behaviours and depositional mechanisms. Here we use defluidising granular currents, analogous to dense PDCs, to examine the region known in the volcanological literature as the flow-boundary zone. This consists of the lower part of the current and upper part of its [...]
GIS-Based Modelling of Soil Erosion Risk categories County Antrim, Northern Ireland
Published: 2023-06-08
Subjects: Environmental Sciences, Physical Sciences and Mathematics
Soil erosion is one of the major global concerns. Such a process can occur naturally, at different rates. However, under extreme conditions, soil erosion can accelerate and present a risk to ecosystems, loss of food supply (loss of agricultural lands), and lead to episodic landslides. The present study employs Geographic Information Systems and functions to predict possible risks connected to [...]
Universal techniques for mineral identification in thin-section
Published: 2023-06-08
Subjects: Education, Physical Sciences and Mathematics
Mineral identification using an optical microscope forms a key part of every introductory course in Earth Sciences. The presence or absence of particular minerals and their textural relationships to one another - that is, the visual impression of the size, shape, and arrangement of grains/crystals/particles in a rock - act as keys to the origin and evolution of the Earth system. Indeed, many [...]
Assessing Decadal Variability of Subseasonal Forecasts of Opportunity using Explainable AI
Published: 2023-06-07
Subjects: Atmospheric Sciences, Climate, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics
Identifying predictable states of the climate system allows for enhanced prediction skill on the generally low-skill subseasonal timescale via forecasts with higher confidence and accuracy, known as forecasts of opportunity. This study takes a neural network approach to explore decadal variability of subseasonal predictability, particularly during forecasts of opportunity. Specifically, this work [...]
Automated shear-wave splitting analysis for single- and multi- layer anisotropic media
Published: 2023-06-07
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics
Shear-wave velocity anisotropy is present throughout the earth. The strength and orientation of anisotropy can be observed by shear-wave splitting (birefringence) accumulated between earthquake sources and receivers. Seismic deployments are getting ever larger, increasing the number of earthquakes detected and the number of source-receiver pairs. Here, we present a new software package, SWSPy, [...]
Climate controls on compound solar and wind droughts in Australia
Published: 2023-06-07
Subjects: Climate, Physical Sciences and Mathematics
Solar and wind power are central to Australia’s renewable energy future, which implies an energy sector vulnerable to weather and climate variability. Alignment of weather systems and the influence of large-scale climate modes of variability risks widespread reductions in solar and wind resources, and could induce grid-wide impacts. We therefore systematically analyse the relationship between [...]
Investigating the Relationship Between Sea Surface Temperature and the Mechanical Efficiency of Tropical Cyclones
Published: 2023-06-07
Subjects: Physical Sciences and Mathematics
Previous studies have investigated how sea surface temperature (SST) affects the potential intensity of tropical cyclones (TCs). However, this is an upper bound only on the maximum near-surface azimuthal winds, and does not fully account for the effects of atmospheric moisture. Potential intensity might not vary in the same way as the total kinetic energy (WKE) of a TC would with changing SST. [...]
Learning generative models for geostatistical facies simulation based on a single training image
Published: 2023-06-03
Subjects: Physical Sciences and Mathematics
Characterization of subsurface reservoirs often requires geological facies models to identify areas with favorable rock properties. With the development of computing powers, deep learning approaches, such as the generative adversarial networks (GANs), became widely used for simulating complex geological models. However, training of the GANs typically requires a large quantity of training data for [...]