Preprints
Filtering by Subject: Statistics and Probability
Assessing uncertainty of source rock properties using Monte Carlo basin modeling – Application to Canning Basin, Australia
Published: 2025-07-23
Subjects: Applied Statistics, Earth Sciences, Engineering, Environmental Sciences, Geochemistry, Geology, Geophysics and Seismology, Oil, Gas, and Energy, Physical Sciences and Mathematics, Risk Analysis, Statistics and Probability, Stratigraphy
This study presents a Monte Carlo basin modeling framework for quantifying uncertainty in source rock property predictions by integrating geological, geophysical, and geochemical inputs. The approach accounts for variability in petrological parameters from rock physics inversion, paleo-erosion magnitudes, organic facies properties, and boundary conditions to simulate source rock properties such [...]
Artificial Intelligence in Climate Science: A State-of-the-Art Review (2020–2025)
Published: 2025-07-15
Subjects: Computer Sciences, Earth Sciences, Environmental Sciences, Statistics and Probability
Climate change is intensifying extreme weather events and posing complex challenges to human and natural systems. In parallel, rapid advances in artificial intelligence (AI) and machine learning (ML) offer new tools to tackle climate science problems. AI can analyze vast climate datasets, improve forecasts, and optimize climate solutions at scales and speeds beyond traditional methods. For [...]
Statistical rock physics inversion for assessing source rock properties from seismic signatures: an application to the Canning Basin, Australia
Published: 2025-07-15
Subjects: Applied Statistics, Earth Sciences, Geology, Geophysics and Seismology, Physical Sciences and Mathematics, Statistics and Probability
Quantifying petrophysical properties and potentials of source rocks is important for subsurface modeling and characterization. However, predicting these properties using seismic signatures and well-log information is a high-dimensional, nonlinear inverse problem, and is subject to uncertainty due to data ambiguities. In this study, a statistical rock physics inversion workflow is proposed to [...]
Understanding the Li resource of granite hosted geothermal brines using near surface measurements
Published: 2024-10-17
Subjects: Chemistry, Environmental Sciences, Physical Sciences and Mathematics, Statistics and Probability
Unprecedented demand for lithium (Li) is being driven by its use in electric vehicle batteries. Currently, the majority of Li comes from pegmatite mining and salar brines, however, new sources such as geothermal brines will be required to meet future demand. The North Pennines, Northern England has been found to host brines with lithium concentrations exceeding 90 mg/L at depths of 411 to 996 m. [...]
Uncertainty aware sample mass determination of coarse-grained soils for particle size analyses
Published: 2024-08-23
Subjects: Applied Statistics, Civil and Environmental Engineering, Civil Engineering, Earth Sciences, Engineering, Environmental Engineering, Environmental Monitoring, Geology, Geomorphology, Geotechnical Engineering, Hydraulic Engineering, Hydrology, Other Civil and Environmental Engineering, Other Earth Sciences, Probability, Sedimentology, Soil Science, Statistical Models, Statistics and Probability, Stratigraphy
Determining particle size distributions (PSD) of soils is a basic first step in manygeotechnical analyses and guidance is given in different national standards. Forambiguous reasons, the recommended minimum sample mass (m_min) for the PSD-analyses of soils with a main component of gravel or greater is based on equationsincluding the soil's maximum grain diameter (D_max). We claim that the [...]
Study on the Assessment of the Development Level of Digital Economy in the Yellow River Basin Economic Zone and the Evolution of Time and Space
Published: 2024-05-01
Subjects: Statistics and Probability
Based on the Statistical Classification of the Digital Economy and Its Core Industries (2021) and considering the characteristics of the Yellow River Basin Economic Belt, this paper selects 25 secondary indicators from 5 dimensions (digital infrastructure, digital industrialization, industrial digitization, digital innovation and agricultural modernization). A scientific and practical evaluation [...]
Estimating the mass eruption rate of volcanic eruptions from the plume height using Bayesian regression with historical data: the MERPH model
Published: 2024-04-18
Subjects: Applied Statistics, Statistical Models, Statistics and Probability, Volcanology
The mass eruption rate (MER) of an explosive volcanic eruption is a commonly used quantifier of the magnitude of the eruption, and estimating it is importance in managing volcanic hazards. The physical connection between the MER and the rise height of the eruption column results in a scaling relationship between these quantities, allowing one to be inferred from the other. Eruption source [...]
A consistent terminology to communicate ground-related uncertainty
Published: 2024-03-26
Subjects: Civil and Environmental Engineering, Earth Sciences, Environmental Sciences, Risk Analysis, Social and Behavioral Sciences, Statistics and Probability
Engineering geology is highly affected by uncertainty related to geology, geotechnical parameters, models and methods. While the technical aspects of ground-related uncertainty are increasingly well investigated, the terminology to communicate uncertainty - e.g., “It is likely that X will happen.” - has not yet been unified and experts use it however they see fit. Due to varying experience, [...]
The Potential for Fuel Reduction to Offset Climate Warming Impacts on Wildfire Intensity in California
Published: 2024-02-21
Subjects: Climate, Earth Sciences, Environmental Sciences, Forest Management, Forest Sciences, Meteorology, Oceanography and Atmospheric Sciences and Meteorology, Other Statistics and Probability, Physical Sciences and Mathematics, Probability, Statistical Methodology, Statistical Models, Statistics and Probability
Increasing fuel aridity due to climate warming has and will continue to increase wildfire danger in California. In addition to reducing global greenhouse gas emissions, one of the primary proposals for counteracting this increase in wildfire danger is a widespread expansion of hazardous fuel reductions. Here, we quantify the potential for fuel reduction to reduce wildfire intensity using [...]
Designing and describing climate change impact attribution studies: a guide to common approaches
Published: 2024-01-06
Subjects: Climate, Earth Sciences, Ecology and Evolutionary Biology, Environmental Public Health, Environmental Studies, Human Geography, Physical and Environmental Geography, Physical Sciences and Mathematics, Probability, Public Health, Spatial Science, Statistical Methodology, Statistical Models, Statistics and Probability
Impact attribution is an emerging transdisciplinary sub-discipline of detection and attribution, focused on the social, economic, and ecological impacts of climate change. Here, we provide an overview of common end-to-end frameworks in impact attribution, focusing on examples relating to the human health impacts of climate change. We propose a typology of study designs based on whether [...]
Transgression–regression cycles drive correlations in Ediacaran–Cambrian rock and fossil records
Published: 2023-11-07
Subjects: Earth Sciences, Geology, Paleontology, Physical Sciences and Mathematics, Sedimentology, Statistical Methodology, Statistics and Probability, Stratigraphy
Strata of the Ediacaran Period (635–538.8 Ma) yield the oldest known fossils of complex, macroscopic organisms in the geologic record. These “Ediacaran-type” macrofossils (known as the Ediacaran biota) first appear in mid-Ediacaran strata, experience an apparent decline through the terminal Ediacaran, and directly precede the Cambrian (538.8–485.4 Ma) radiation of animals. Existing hypotheses for [...]
Understanding Drought Awareness from Web Data
Published: 2023-08-17
Subjects: Computer Sciences, Earth Sciences, Mathematics, Oceanography and Atmospheric Sciences and Meteorology, Statistics and Probability
We used computer vision (U-Net) model to leverage Standardized Precipitation Evapotranspiration Index (SPEI), Google Trends Search Interest (SI), and Twitter data to understand patterns with which people in Continental United States (CONUS) indicate awareness of and interest in droughts. We found significant statistical relationships between the occurrence of meteorological droughts (MD), as [...]
Performance evaluation of a simple feed-forward deep neural network model applied to annual rainfall anomaly index (RAI) over Indramayu, Indonesia
Published: 2023-06-30
Subjects: Climate, Hydrology, Physical Sciences and Mathematics, Statistical Models, Statistics and Probability, Sustainability, Water Resource Management
Indramayu is a district in West Java that is known for being the leading producer of rice and brackish salt. The production of these two commodities is strongly influenced by hydroclimatological conditions, making accurate and reliable long-term estimates crucial. In this study, we evaluated a simple feed-forward deep neural network (DNN) model that could potentially be used as a candidate for [...]
A theory of stochastic fluvial landscape evolution
Published: 2023-06-23
Subjects: Earth Sciences, Geomorphology, Physical Sciences and Mathematics, Statistics and Probability
Geometries of eroding landscapes contain important information about geologic, climatic, biotic and geomorphic processes. They are also characterised by variability, which makes disentangling their origins challenging. Observations and physical models of fluvial processes, which set the pace of erosion on most continents, emphasise complexity and variability. In contrast, the spectral content of [...]
Explainable Machine Learning for Hydrocarbon Prospect Risking
Published: 2023-06-20
Subjects: Geophysics and Seismology, Statistics and Probability
Hydrocarbon prospect risking integrates information from multiple geophysical data and modalities to arrive at a probability of success for a given prospect. The DHI database of drilled prospects gathers data from prospects drilled around the world in multiple geologic settings in one central knowledge base. A major goal of interest to geophysicists is to understand the impact of various seismic [...]