Results 111 to 120 of about 3,085 (210)
Basal Force Probability Distributions in Thin‐Layer Granular Flows
Abstract Extreme geophysical flows, such as granular and debris flows, can significantly shape the landscape in steep lands and generate seismic signals that can be recorded over long distances. However, direct field measurements needed to constrain the granular physics remain difficult due to the damage potential of those flows.
Jun Fang +5 more
wiley +1 more source
This research centers on the creation of an innovative statistical model that extends the inverse exponential (IE) distribution by employing the Rayleigh‐exponentiated odd generalized (REOG) family of distributions, which is designated as the REOG‐IE ...
Abdullahi Abula Mohammed +7 more
doaj +1 more source
Learning Vertical Coordinates via Automatic Differentiation of a Dynamical Core
Abstract Terrain‐following coordinates in atmospheric models often imprint their grid structure onto the solution, particularly over steep topography, where distorted coordinate layers can generate spurious horizontal and vertical motion. Standard formulations, such as hybrid or SLEVE coordinates, mitigate these errors by using analytic decay functions
Tim Whittaker +4 more
wiley +1 more source
Beyond the Electrostatic Approach: Numerical Simulations of Martian Ionospheric Irregularities
Abstract Numerical simulations play an essential role in the study of ionospheric irregularities. In the past few decades, electrostatic simulations have successfully simulated the nonlinear evolution of terrestrial ionospheric irregularities. However, the Mars Atmosphere and Volatile EvolutioN (MAVEN) observations reveal that the Martian ionospheric ...
Konghan Jiang, Jiuhou Lei, Maodong Yan
wiley +1 more source
Abstract Atmospheric resonance lidars targeting metallic species in the mesosphere and lower thermosphere have yielded insights into the dynamics of the middle and upper atmosphere for over 50 years. Recently, the technique has been extended to the metastable helium layer, which reaches up to 1,000 km or above.
C. Geach, B. Kaifler
wiley +1 more source
Bayesian estimation under different loss functions for the case of inverse Rayleigh distribution
In this study, the best parameter estimator for the scale parameter (θ) of the inverse Rayleigh distribution was determined based on a comparison of the maximum likelihood estimator (MLE) method, the Bayesian generalized squared error loss function (SELF)
doaj +1 more source
Abstract We investigate the statistical nature of Global Navigation Satellite System (GNSS) signal fluctuations through the multiscale analysis of a strong scintillation event recorded at the Ionospheric Observatory of the Luigi Broglio Space Center in Malindi, Kenya.
L. Spogli +5 more
wiley +1 more source
Abstract Mantle convection drives the solid Earth, powering plate motions, volcanism, and earthquakes while regulating planetary heat loss. Reconstructing its history is hampered by sparse, noisy observations concentrated near the surface and the present day. Here I develop an inverse physics‐informed neural network framework to estimate mantle thermal
Atsushi Nakao
wiley +1 more source
Incorporating coherent multiple scattering into modelling of small‐q scattering data
A new example for coherent multiple scattering is presented that confirms the Teubner–Strey model with its surface scattering for porous materials.In a recent paper [Frielinghaus & Gommes (2025), J. Appl. Cryst.58, 1553–1570] the appearance of coherent multiple scattering was discussed, whereby surface scattering takes over against the classical bulk ...
Henrich Frielinghaus
wiley +1 more source
In this paper, suggested formula as well a conventional method for estimating the twoparameters (shape and scale) of the Generalized Rayleigh Distribution was proposed.
A. A . AL- Naqeeb, A. M . Hamed
doaj

