Results 101 to 110 of about 66,297 (236)

“Caterpillar” ULF Waves in the Dusk Side Sub‐Auroral Region: Conjugate Observations With SuperDARN, Arase and Ground Magnetometers

open access: yesJournal of Geophysical Research: Space Physics, Volume 131, Issue 5, May 2026.
Abstract On 23 November 2022, during exceptionally quiet geomagnetic conditions, a distinct ultra‐low frequency (ULF) wave in the Pc5 band (∼2.4 mHz) was observed in the duskside sub‐auroral region by two Canadian SuperDARN (Super Dual Auroral Radar Network) radars.
N. Nishitani   +18 more
wiley   +1 more source

El Campo solar radar system Second semiannual report, Jul. 1 - Dec. 31, 1965 [PDF]

open access: yes
Doppler characteristics of radar echoes reflected by solar ...
Harrington, J. V.
core   +1 more source

Development of a radar simulator for monitoring wake vortices in rainy weather [PDF]

open access: yes, 2011
A simulator for the evaluation of the radar signature of raindrops within wake vortices is presented. Simulated Doppler spectrum of raindrops within vortices let to think that it could be a potential criterion for identifying wake vortex hazard in ...
Jeannin, Nicolas   +3 more
core  

Enhancing Great Plains Nocturnal Precipitation and Low‐Level Jets in AM4 With an Extended CLUBB Closure

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract In this study, we extend the Cloud Layers Unified by Binormals (CLUBB) turbulence scheme within the GFDL atmospheric model (AM4) by implementing direct momentum‐flux prognosis and a multiscale turbulent lengthscale, to improve the simulation of nocturnal precipitation and associated Low‐Level Jets (LLJs) over the Great Plains (GP). Toward this
Emanuele Silvio Gentile   +5 more
wiley   +1 more source

An alternative representation of Synthetic Aperture Radar images as an aid to the interpretation of englacial observations [PDF]

open access: yesThe Cryosphere
Ground-penetrating radar reveals subsurface geometry and ice stratigraphy that contains information about past and present dynamics of the cryosphere. Synthetic Aperture Radar (SAR) is a processing technique based on averaging the radar echoes received ...
Á. Arenas-Pingarrón   +6 more
doaj   +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

Refinement of a Framework for Moving Aircraft River Velocimetry (MARV) and Application to Particle Tracking Along Alaskan Rivers

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Information on river velocities enhances understanding flood hazards, evaluating habitat conditions, and predicting the transport of floating materials. In this follow‐up study, we used data from two new sites, one with a more complex morphology and the other with a lower suspended sediment concentration, to provide further evidence that ...
Carl J. Legleiter   +3 more
wiley   +1 more source

Reliability and validity of motion sensor and radar for measuring shuttlecock velocity in badminton

open access: yesInternational Journal of Racket Sports Science
Radar doppler and inertial measurement unit are often used to analyze the projectile velocity. The aim of the present study was to analyse the reliability and validity of a specifically motion sensor (named: Zepp Tennis) and a radar (Doppler-radar gun ...
Michael Phomsoupha   +2 more
doaj  

Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network

open access: yesIEEE Access, 2016
In this paper, we investigate the feasibility of recognizing human hand gestures using micro-Doppler signatures measured by Doppler radar with a deep convolutional neural network (DCNN).
Youngwook Kim, Brian Toomajian
doaj   +1 more source

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