Results 91 to 100 of about 20,326 (218)
A Machine Learning Parameterization for the Internal Gravity Wave Spectrum
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
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
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
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
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
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
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
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
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
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

