Preprints
There are 7999 Preprints listed.
Probabilistic Assessment of Antarctic Thermomechanical Structure: Impacts on Ice Sheet Stability
Published: 2022-05-19
Subjects: Earth Sciences, Geophysics and Seismology, Mineral Physics, Physical Sciences and Mathematics, Statistical Methodology
Uncertainty in present-day glacial isostatic adjustment (GIA) rates represents at least 44% of the total gravity-based ice mass balance signal over Antarctica. Meanwhile, physical couplings between solid Earth, sea level and ice dynamics enhance the dependency of the spatiotemporally varying GIA signal on three-dimensional variations in mantle rheology. Improved knowledge of thermomechanical [...]
Development of a machine learning approach for local-scale ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest
Published: 2022-05-24
Subjects: Atmospheric Sciences
A machine learning (ML) based modeling framework has been successfully used to provide operational forecasts of O3 at Kennewick, WA. This paper shows its performance when applied to other observation locations to predict O3 and PM2.5 concentrations. The 10-time, 10-fold cross-validation method was used to evaluate the model performance in the Pacific Northwest (PNW). Similar to Kennewick, ML1 [...]
Deep Compressed Seismic Learning for fast location and moment tensor inferences with natural and induced seismicity
Published: 2022-05-19
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics
Fast detection and characterization of seismic sources is crucial for decision-making and warning systems that monitor natural and induced seismicity. However, besides the laying out of ever denser monitoring networks of seismic instruments, the incorporation of new sensor technologies such as Distributed Acoustic Sensing (DAS) further challenges our processing capabilities to deliver short [...]
A univariate extreme value analysis and change point detection of monthly discharge in Kali Kupang, Central Java, Indonesia
Published: 2022-05-19
Subjects: Applied Statistics, Hydrology, Probability, Water Resource Management
This study presents how Extreme Value Analysis (EVA) can be used to predict future extreme hydrological events and how dynamic-programming based change point detection algorithm can be used to detect the abrupt transition in discharge events variability in Kali Kupang, Central Java, Indonesia. By using the annual block maxima, we can predict the upper extreme discharge probability from the Gumbel [...]
Effect of combined dry-wet irrigation and microbial dynamics on soil nutrient bioavailability
Published: 2022-05-20
Subjects: Life Sciences
Alternate wetting-drying (AWD) cultivation with implication on soil microbiome, nutritional dynamics and rice yield during pre-monsoon (boro) and monsoon (aman) season are not well studied. In the present 4-year field study the impact of AWD (in pre-monsoon season) is compared with conventional mode of irrigation (i.e. flooded field in monsoon season). The release of soil nutrients into the [...]
Methane Emissions from the Fossil Fuel Industries of the Russian Federation
Published: 2022-05-19
Subjects: Climate, Environmental Engineering, Environmental Monitoring, Oil, Gas, and Energy
Methane is second only to carbon dioxide as a driver of human-induced climate change. Moreover, reducing the rate of methane emissions is the fastest and least disruptive way to moderate global temperature rise over the next several decades. The production of fossil fuels – principally coal, oil, and natural gas – is among the main sources of anthropogenic methane. As one of the world’s largest [...]
Time-Dependent Decrease in Fault Strength in the 2011--2016 Ibaraki-Fukushima Earthquake Sequence
Published: 2022-05-19
Subjects: Earth Sciences, Tectonics and Structure
Two near-identical Mw 5.8 earthquakes in 2011 and 2016 ruptured the Mochiyama Fault in the Ibaraki-Fukushima region of Japan. The unusually short repeat time between the two earthquakes provides a rare opportunity to estimate the evolution of stress on a fault through an earthquake cycle, as the stress drop in the first earthquake provides a reference value from which we can infer variations [...]
Harnessing Distributed Acoustic Sensing for Earthquake Early Warning: Magnitude Estimation and Ground Motion Prediction
Published: 2022-06-21
Subjects: Geophysics and Seismology
Earthquake Early Warning (EEW) systems provide seconds to tens of seconds of warning time before potentially-damaging ground motions are felt. For optimal warning times, seismic sensors should be installed as close as possible to expected earthquake sources. However, while the most hazardous earthquakes on Earth occur underwater, most seismological stations are located on-land; precious seconds [...]
Caravan - A global community dataset for large-sample hydrology
Published: 2022-05-19
Subjects: Earth Sciences, Hydrology, Physical Sciences and Mathematics
High-quality datasets are essential to support hydrological science and modeling. Several CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets exist for specific countries or regions, however these datasets lack standardization, which makes global studies difficult. This paper introduces a dataset called Caravan (a series of CAMELS) that standardizes and aggregates [...]
A Generalized Natural Hazard Risk Modelling Framework for Infrastructure Failure Cascades
Published: 2022-05-19
Subjects: Civil and Environmental Engineering, Environmental Sciences, Risk Analysis
Critical infrastructures are more exposed than ever to natural hazards in a changing climate. To understand and manage risk, failure cascades across large, real-world infrastructure networks, and their impact on people, must be captured. Bridging established methods in both infrastructure and risk modelling communities, we develop an open-source modelling framework which integrates a [...]
Cloud feedback depends on Southern Ocean salinity
Published: 2022-05-20
Subjects: Physical Sciences and Mathematics
The uncertainty in equilibrium climate sensitivity (ECS) has remained persistently unchanged for the past four decades1–4, with cloud feedback3,5–11 as a primary source of the uncertainty. Here we show that a key component of this uncertainty is rooted in the impact of base-state Southern Ocean salinity on cloud feedback. Sea surface salinity in the sinking zone of the Southern Ocean (45o-60oS) [...]
Discoverability of open data is critical to Earth system science
Published: 2022-06-21
Subjects: Education, Life Sciences
There is consensus throughout the Earth system science research community that “open data” is of critical importance. However, discoverability and accessibility are often overlooked, raising the question of how useful archived, but not easily discoverable data are. As part of evaluating databases suitable for our own research data archival, we conducted a data discovery exercise (aggregators and [...]
Defining renewable groundwater use and its relevance to sustainable groundwater management
Published: 2022-05-19
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Sciences, Physical Sciences and Mathematics
Groundwater systems are commonly, but variously, defined as renewable or non-renewable based on natural fluxes of recharge or on estimates of aquifer storage and groundwater residence time. However, we show here that the principle of capture challenges simple definitions so that a groundwater system cannot be renewable or non-renewable in and of itself, but only with reference to how the [...]
Using Lagrangian filtering to remove waves from the ocean surface velocity field
Published: 2022-05-19
Subjects: Oceanography
The Surface Water and Ocean Topography (SWOT) satellite will measure altimetry on scales down to about 15km: at these scales, the sea-surface-height signature of inertia-gravity waves, including barotropic tides and internal tides, will be visible. However, tides and inertia-gravity waves have little impact on tracer transport. Recent work has shown that Lagrangian filtering can be used to [...]
Using Synthetic Data Trained Convolutional Neural Network For Predicting Sub-Resolution Thin Layers From Seismic Data
Published: 2022-05-19
Subjects: Artificial Intelligence and Robotics, Geology, Geophysics and Seismology
Numerous studies have demonstrated the capability of supervised deep learning techniques for predicting geological features of interest from seismic sections, including features that are difficult to identify using traditional interpretation methods. However, successful application of these techniques in practice has been limited by the difficulty of obtaining large training dataset where seismic [...]