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Interpolated Fast Damped Multichannel Singular Spectrum Analysis for Deblending of Off-the-Grid Blended Data
Blended acquisition offers significant cost and period reduction in seismic data acquisition. However, fired blended sources are usually deployed at...
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Investigation of Fluid Types in Shale Oil Reservoirs
Lacustrine shale oil resources are essential for the maintenance of energy supply. Fluid types and contents play important roles in estimating...
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High-Precision Microseismic Source Localization Using a Fusion Network Combining Convolutional Neural Network and Transformer
Microseismic source localization methods with deep learning can directly predict the source location from recorded microseismic data, showing...
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Stress-Dependent PP-Wave Reflection Coefficient for Fourier-Coefficients-Based Seismic Inversion in Horizontally Stressed Vertical Transversely Isotropic Media
The subsurface in situ stress fields significantly influence the elastic and anisotropic properties of rocks, yet traditional linear elastic theories...
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Constructing Priors for Geophysical Inversions Constrained by Surface and Borehole Geochemistry
Prior model construction is a fundamental component in geophysical inversion, especially Bayesian inversion. The prior model, usually derived from...
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Reflecting on the Science of Climate Tip** Points to Inform and Assist Policy Making and Address the Risks they Pose to Society
There is a diverging perception of climate tip** points, abrupt changes and surprises in the scientific community and the public. While such...
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Tropical Deep Convection, Cloud Feedbacks and Climate Sensitivity
This paper is concerned with how the diabatically-forced overturning circulations of the atmosphere, established by the deep convection within the...
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Near-Surface Rayleigh Wave Dispersion Curve Inversion Algorithms: A Comprehensive Comparison
Rayleigh wave exploration is a powerful method for estimating near-surface shear-wave (S-wave) velocities, providing valuable insights into the...
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Multiscalar Integration of Dense and Sparse Spatial Data: an Archaeological Case Study with Magnetometry and Geochemistry
Integration of different kinds of data is an important issue in archaeological prospection. However, the current methodological approaches are...
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Meta-Processing: A robust framework for multi-tasks seismic processing
Machine learning-based seismic processing models are typically trained separately to perform seismic processing tasks (SPTs) and, as a result,...
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Detectability of Seamount Eruptions Through a Quantum Technology Gravity Mission MOCAST+: Hunga Tonga, Fani Maoré and Other Smaller Eruptions
Seamount eruptions alter the bathymetry and can occur undetected due to lack of explosive character. We review documented eruptions to define whether...
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Observational Assessment of Changes in Earth’s Energy Imbalance Since 2000
Satellite observations from the Clouds and the Earth’s Radiant Energy System show that Earth’s energy imbalance has doubled from 0.5 ± 0.2 Wm −2 ...
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Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook
As the Earth system is exposed to large anthropogenic interferences, it becomes ever more important to assess the resilience of natural systems,...
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Far-Zone Effects for Spherical Integral Transformations I: Formulas for the Radial Boundary Value Problem and its Derivatives
Integral transformations represent an important mathematical tool for gravitational field modelling. A basic assumption of integral transformations...
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Photonic Seismology: A New Decade of Distributed Acoustic Sensing in Geophysics from 2012 to 2023
This paper delivers an in-depth bibliometric analysis of distributed acoustic sensing (DAS) research within the realm of geophysics, covering the...
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Pressure Effects on Plane Wave Reflection and Transmission in Fluid-Saturated Porous Media
The wave reflection and transmission (R/T) coefficients in fluid-saturated porous media with the effect of effective pressure are rarely studied,...
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Joint Inversion Method of Gravity and Magnetic Data with Adaptive Zoning Using Gramian in Both Petrophysical and Structural Domains
Different observation data are utilized to obtain a unified geophysical model based on the correlations of underground geological bodies in joint...
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Feasibility Study of Anisotropic Full-Waveform Inversion with DAS Data in a Vertical Seismic Profile Configuration at the Newell County Facility, Alberta, Canada
As an emerging seismic acquisition technology, distributed acoustic sensing (DAS) has drawn significant attention in earth science for long-term and...
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Low-rank Representation for Seismic Reflectivity and its Applications in Least-squares Imaging
Sparse representation and inversion have been widely used in the acquisition and processing of geophysical data. In particular, the low-rank...
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Assessment of Atmospheric and Surface Energy Budgets Using Observation-Based Data Products
Accurate diagnosis of regional atmospheric and surface energy budgets is critical for understanding the spatial distribution of heat uptake...
