Preprints

Filtering by Subject: Earth Sciences

Turbidites, Topography and Tectonics: Evolution of submarine channel-lobe systems in the salt-influenced Kwanza Basin, offshore Angola

Danielle Howlett, Robert Leslie Gawthorpe, Zhiyuan Ge, et al.

Published: 2020-04-07
Subjects: Earth Sciences, Geology, Geomorphology, Physical Sciences and Mathematics, Sedimentology

Understanding the evolution of submarine channel-lobe systems on salt-influenced slopes is challenging as systems react to seemingly subtle changes in sea-floor topography. The impact of large blocking structures on individual deep-water systems is well documented, but understanding of the spatio-temporal evolution of regionally extensive channel-lobe systems in areas containing modest salt [...]

Seismic electric signals (SES) and earthquakes: A review of an updated VAN method and competing hypotheses for SES generation and earthquake triggering

Daniel S. Helman

Published: 2020-04-07
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Studies, Geology, Geophysics and Seismology, Physical Sciences and Mathematics, Planetary Geophysics and Seismology, Planetary Sciences, Social and Behavioral Sciences

Electromagnetic phenomena are sometimes associated with seismic events, but earthquake prediction using seismic electric signals (SES) has not been seriously considered since the early 1990s. There are several causes: (1) false alarms that have created panics in Greece, and (2) a strong critique of the Varotsos-Alexopoulos-Nomicos (VAN) method used there. An updated VAN method that includes time [...]

Is the Aftershock Zone Area a Good Proxy for the Mainshock Rupture Area?

Jing Ci Neo, Yihe Huang, Dongdong Yao, et al.

Published: 2020-04-06
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

The locations of aftershocks are often observed to be on the same fault plane as the mainshock and used as proxies for its rupture area. Recent developments in earthquake relocation techniques have led to great improvements in the accuracy of earthquake locations, offering an unprecedented opportunity to quantify both the aftershock distribution and mainshock rupture area. In this study, we [...]

Measuring Azimuth Deformation With L-Band ALOS-2 ScanSAR Interferometry

Cunren Liang, Eric Jameson Fielding

Published: 2020-04-06
Subjects: Aerospace Engineering, Civil and Environmental Engineering, Computational Engineering, Computer Engineering, Earth Sciences, Electrical and Computer Engineering, Engineering, Geology, Geomorphology, Geophysics and Seismology, Glaciology, Hydrology, Mining Engineering, Other Earth Sciences, Physical Sciences and Mathematics, Signal Processing, Tectonics and Structure, Volcanology

We analyze the methods for measuring azimuth deformation with the L-band Advanced Land Observing Satellite-2 (ALOS-2) scanning synthetic aperture radar (ScanSAR) interferometry. To implement the methods, we extract focused bursts from the ALOS-2 full-aperture product, which is the only product available for ScanSAR interferometry at present. The extracted bursts are properly processed to measure [...]

Estimating Azimuth Offset With Double-Difference Interferometric Phase: The Effect of Azimuth FM Rate Error in Focusing

Cunren Liang, Eric Jameson Fielding, Mong-Han Huang

Published: 2020-04-06
Subjects: Aerospace Engineering, Civil and Environmental Engineering, Earth Sciences, Electrical and Computer Engineering, Engineering, Environmental Sciences, Geology, Geomorphology, Geophysics and Seismology, Glaciology, Hydrology, Mining Engineering, Other Earth Sciences, Physical Sciences and Mathematics, Physics, Tectonics and Structure, Volcanology

Estimating azimuth offset with double-difference interferometric (DDI) phase, which is called multiple-aperture interferometric synthetic aperture radar (InSAR) or spectral diversity, is increasingly used in recent years to measure azimuth deformation or to accurately coregister a pair of InSAR images. We analyze the effect of frequency modulation (FM) rate error in focusing on the DDI phase with [...]

Rethinking Groundwater Age

Grant Ferguson, Mark Olaf Cuthbert, Kevin M. Befus, et al.

Published: 2020-04-03
Subjects: Earth Sciences, Geochemistry, Hydrology, Physical Sciences and Mathematics

The ideas that old or “fossil” groundwater cannot be pumped sustainably, or that recently recharged groundwater is inherently sustainable are both mistaken. Both old and young groundwaters can be used in physically sustainable or unsustainable ways.

Climate controls the length and shape of the world’s drainage basins

Michael Singer, Stuart M Grieve, Shiuan-An Chen, et al.

Published: 2020-04-01
Subjects: Earth Sciences, Geomorphology, Hydrology, Physical Sciences and Mathematics

Submitted manuscript currently under review at Geophysical Research Letters (American Geophysical Union publication).

Global Sensitivity Analysis to Optimize Basin-Scale Conductive Model Calibration – A Case Study From the Upper Rhine Graben

Denise Degen, Karen Veroy, Jessica Freymark, et al.

Published: 2020-04-01
Subjects: Applied Mathematics, Earth Sciences, Physical Sciences and Mathematics

Calibrating geothermal simulations is a critical step, both in scientific and industrial contexts, with suitable model parameterizations being optimised to reduce discrepancies between simulated and measured temperatures. Here we present a methodology to identify unaccounted physical processes in the process and overcome the problem of measurement sparsity. With an application to the Upper Rhine [...]

Ultraviolet camera measurements of passive and explosive sulphur dioxide emissions at Yasur volcano, Vanuatu

Tehnuka Ilanko, Tom D Pering, Thomas Charles Wilkes, et al.

Published: 2020-03-31
Subjects: Earth Sciences, Physical Sciences and Mathematics, Volcanology

Here, we present the first ultraviolet (UV) camera measurements of sulphur dioxide (SO2) flux from Yasur volcano, Vanuatu, for the period 6th – 9th July 2018. These data yield the first direct gas measurement-derived calculations of explosion gas masses at Yasur. Yasur typically exhibits persistent passive gas release interspersed with frequent strombolian explosions. We used compact forms of the [...]

Continuum of earthquake rupture speeds enabled by oblique slip

Huihui Weng, Jean Paul Ampuero

Published: 2020-03-31
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Earthquake rupture speed can affect ground shaking and thus seismic hazard. Seismological observations show that large earthquakes span a continuum of rupture speeds, from slower than Rayleigh waves up to P wave speed, and include speeds that are predicted to be unstable by 2D theory. This discrepancy between observations and theory has not yet been reconciled by a quantitative model. Here we [...]

International disparities in open access practices of the Earth Sciences community

Olivier Pourret, David William Hedding, Dasapta Erwin Irawan, et al.

Published: 2020-03-31
Subjects: Biogeochemistry, Cosmochemistry, Earth Sciences, Geochemistry, Geology, Geomorphology, Geophysics and Seismology, Glaciology, Hydrology, Library and Information Science, Mineral Physics, Other Earth Sciences, Paleobiology, Paleontology, Physical Sciences and Mathematics, Sedimentology, Social and Behavioral Sciences, Soil Science, Speleology, Stratigraphy, Tectonics and Structure, Volcanology

Short communication on international disparities in open access practices of the Earth Sciences community

The mechanism of Mg diffusion in forsterite and the controls on its anisotropy

Joshua Martin Richard Muir, Zhang Feiwu, Andrew Walker

Published: 2020-03-31
Subjects: Earth Sciences, Mineral Physics, Physical Sciences and Mathematics

Mg diffusion is important for explaining many rheological properties in forsterite but its mechanism is unknown. Without knowing a mechanism the effect of variables such as pressure are hard to constrain. In this study we used Density Functional Theory (DFT) to calculate the diffusivity of Mg vacancies and interstitials in forsterite and thus the diffusion rate of Mg in forsterite. We predict [...]

A New Synergistic Approach for Monitoring Wetlands Using 1 Sentinels -1 and 2 data With Object-based Machine Learning 2 Algorithms

Alexander R. Brown, George Petropoulos, Konstantinos P. Ferentinos

Published: 2020-03-30
Subjects: Earth Sciences, Life Sciences, Other Earth Sciences, Physical Sciences and Mathematics

In this work the synergistic use of Sentinel-1 and 2 combined with the System for Automated Geoscientific Analyses (SAGA) Wetness Index in the content of land use/cover (LULC) mapping with emphasis in wetlands is evaluated. A further objectivehas been to a new Object-based Image Analysis (OBIA) approach for mapping wetland areas using Sentinel-1 and 2 data, where the latter is also tested [...]

Shallow-water mudstone architecture and depositional process variability: evidence for heterogeneity at kilometre-scale

Rhys Hamlyn, Kévin Boulesteix, Kevin G. Taylor, et al.

Published: 2020-03-30
Subjects: Earth Sciences, Geology, Physical Sciences and Mathematics, Sedimentology, Stratigraphy

Mudstone studies that use a large spacing (>5km) between datapoints provide little insight into the architecture and depositional process variability at kilometre scale. This often leads to the assumption that mudstones are laterally homogenous at kilometre and sub-kilometre scales. To better understand the lateral variability of mudstones at kilometre scale, the Mancos Shale in the eastern [...]

RainDisaggGAN - Temporal Disaggregation of Spatial Rainfall Fields with Generative Adversarial Networks

Sebastian Scher, Stefanie Peßenteiner

Published: 2020-03-30
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Earth Sciences, Hydrology, Physical Sciences and Mathematics

Creating spatially coherent rainfall patterns with high temporal resolution from data with lower temporal resolution is an important topic in many geoscientific applications. From a statistical perspective, this presents a high-dimensional and highly under-determined problem. However, recent advances in unsupervised machine learning provide methods for learning such high-dimensional probability [...]

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