Results 91 to 100 of about 20,326 (218)

A Machine Learning Parameterization for the Internal Gravity Wave Spectrum

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 5, May 2026.
Abstract We introduce a stochastic model designed to parametrize the spectral properties of internal waves, using two functions that represent the semidiurnal spectral tidal cusps and the energy continuum between the inertial and the buoyancy frequencies.
Yutao Zheng   +3 more
wiley   +1 more source

Enhancing Regional Ensemble‐Variational Data Assimilation for Convection‐Permitting Prediction With Combination of the Dual‐Localization and Scales Blending of Global and Regional Ensembles

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract This study proposes a new scheme combining ensemble blending and dual‐localization of ensemble error covariance in an ensemble‐variational (EnVar) framework to better account for both the multi‐scale characteristics of the background and background error covariance for high‐resolution data assimilation and forecasting.
Yuanbing Wang   +5 more
wiley   +1 more source

Ionospheric Amplitude Scintillation Evolution Characterizing Using High Resolution S4 Index in the Crests of the EIA Regions During Solar Maximum Periods

open access: yesSpace Weather, Volume 24, Issue 5, May 2026.
Abstract Ionospheric scintillation in the Equatorial Ionization Anomaly (EIA) region significantly impacts the performance of Global Navigation Satellite System (GNSS). While scintillation characteristics have been widely studied globally, the evolution of scintillation events remains underexplored.
Zhipeng Wang   +5 more
wiley   +1 more source

Nanoarcsecond single-dish imaging of the Vela pulsar

open access: yes, 2000
We have measured the properties of the diffractive scintillation toward the Vela pulsar under the extremely strong scattering conditions encountered at 660 MHz.
Johnston, S.   +3 more
core   +1 more source

Introducing Reflected GNSS TEC Data Into ANCHOR Ionospheric Data Assimilation Model

open access: yesSpace Weather, Volume 24, Issue 5, May 2026.
Abstract ANCHOR is a novel data assimilation (DA) algorithm developed at the U.S. Naval Research Laboratory to improve ionospheric nowcasting by increasing accuracy and decreasing computational cost. As a parameterized DA model, ANCHOR represents the ionosphere using physical parameters such as the F2 layer peak (Nm $Nm$F2), which characterizes a ...
Brenna Royersmith   +5 more
wiley   +1 more source

An optical fiber based interferometer to measure velocity profiles in sheared complex fluids

open access: yes, 2002
We describe an optical fiber based interferometer to measure velocity profiles in sheared complex fluids using Dynamic Light Scattering (DLS). After a review of the theoretical problem of DLS under shear, a detailed description of the setup is given.
A. Colin   +28 more
core   +2 more sources

Integrating GRACE and InSAR Data to Assess Land Surface Displacement From Managed Aquifer Recharge

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Satellite‐based monitoring of groundwater changes and their surface effects is crucial for understanding hydrological processes and managing water resources in an era of increasing water scarcity. The Gravity Recovery and Climate Experiment follow‐on (GRACE‐FO) mission provides global measurements of terrestrial water storage anomalies, while ...
Ikechukwu Kalu   +6 more
wiley   +1 more source

Using InSAR Coherence to Map Stand Age in a Boreal Forest

open access: yesRemote Sensing, 2012
The interferometric coherence parameter γ estimates the degree of correlation between two Synthetic Aperture Radar (SAR) images and can be influenced by vegetation structure. Here, we investigate the use of repeat-pass interferometric coherence &
Naiara Pinto, Marc Simard, Ralph Dubayah
doaj   +1 more source

Impact of intrinsic biophysical diversity on the activity of spiking neurons

open access: yes, 2013
We study the effect of intrinsic heterogeneity on the activity of a population of leaky integrate-and-fire neurons. By rescaling the dynamical equation, we derive mathematical relations between multiple neuronal parameters and a fluctuating input noise ...
Ad Aertsen   +4 more
core   +1 more source

DeepOT: A Deep Learning Framework for Pixel‐Level Ground Surface Displacement Estimation From SAR Amplitude Imagery

open access: yesEarth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Monitoring ground surface displacement is critical for understanding geophysical processes and mitigating natural hazards, yet conventional Synthetic Aperture Radar (SAR) techniques are often limited by decorrelation, complex terrain, and heterogeneous motion.
Jinwoo Kim, Hying‐Sup Jung, Zhong Lu
wiley   +1 more source

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