Results 81 to 90 of about 66,297 (236)

Measuring River Surface Velocity Using UAS‐Borne Doppler Radar

Water Resources Research
Using Unoccupied Aerial Systems (UAS) equipped with optical RGB cameras and Doppler radar, surface velocity can be efficiently measured at high spatial resolution.
Zhen Zhou, Laura Riis‐Klinkvort, Emilie Ahrnkiel Jørgensen, Christine Lindenhoff, Monica Coppo Frías, Alexander Rietz Vesterhauge, Daniel Haugård Olesen, Makar Lavish, Alexey Dobrovolskiy, Alexey Kadek, Niksa Orlic, Tomislav Grubesa, Luka Drmić, Henrik Grosen, Sune Nielsen, Daniel Wennerberg, Viktor Fagerström, Jenny Axén, David Gustafsson, Peter Bauer‐Gottwein   +19 more
doaj   +1 more source

Phenotyping Preeclampsia Using Unsupervised Machine Learning: A Prospective Cohort Study

BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Objective To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine learning. Design Prospective cohort study. Setting BCNatal, a tertiary maternal‐foetal medicine centre (Barcelona, Spain). Population A total of 482 pregnant women diagnosed with preeclampsia between August 2013 and April 2024.
Ohad Houri, Lina Youssef, Francesca Crovetto, Maria Borrell, Maddalena Crimella, Maria Giulia Ferrante, Rommy H. Novoa, Irene Casas, Noelia Encabo, Leticia Benitez, Marta Larroya, Anna Peguero, Eva Meler, Sara Castro‐Barquero, Bart Bijnens, Francesc Figueras, Eduard Gratacos, Gabriel Bernardino, Fàtima Crispi   +18 more
wiley   +1 more source

Human Micro-Doppler Frequency Estimation Approach for Doppler Radar

IEEE Access, 2018
Micro-Doppler frequency estimation is an important issue for radar target recognition. In this paper, a novel approach is proposed to accurately estimate the micro-Doppler frequencies of specific target scattering parts, which can be very promising in real-time human sensing applications.
Yipeng Ding, Chengxi Lei, Xuemei Xu, Kehui Sun, Ling Wang   +4 more
openaire   +2 more sources

Erosion of granular sediments by submerged impinging jets: Particle size effects and cohesion onset

AIChE Journal, Volume 72, Issue 6, June 2026.
Abstract This study investigates the erosion behavior and modeling of glass particle beds under impinging jet conditions, with a focus on particle size effects and the onset of cohesion. Ultrasonic profiling is implemented to scan and measure static crater profiles.
Ahmad Mohamadiyeh, Jeffrey Peakall, Michael Fairweather, Martyn Barnes, Timothy N. Hunter   +4 more
wiley   +1 more source

High Speed Dim Air Target Detection Using Airborne Radar under Clutter and Jamming Effects [PDF]

, 2015
The challenging potential problems associated with using airborne radar in detection of high Speed Maneuvering Dim Target (HSMDT) are the highly noise, jamming and clutter effects.
Almslmany, A. E., Cao, Q. S., Wang, C. Y.   +2 more
core   +2 more sources

Superposition of Doppler‐Shifting Magnetopause Kelvin‐Helmholtz Modes Through Dynamic Mode Decomposition of a Global MHD Simulation

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract The Kelvin‐Helmholtz instability (KHI) mediates the viscous‐like solar‐terrestrial interaction by generating magnetopause surface waves that quickly become non‐linear. Basic theory predicts the locally most‐unstable linear wave dominates.
H. M. Kelly, M. O. Archer, J. P. Eastwood, M. Heyns, J. W. B. Eggington, J. P. Chittenden   +5 more
wiley   +1 more source

Application of S-Transform Random Consistency in Inverse Synthetic Aperture Imaging Laser Radar Imaging

Applied Sciences, 2019
Under the same principle, laser radar could be more sensitive to the micro-Doppler (m-D) effect due to its wave length, as the characteristic of multi-resolution, S transform could reduce the influence of the micro-Doppler component and enhance the ...
Bo Zang, Mingzhe Zhu, Xianda Zhou, Lu Zhong, Zijiao Tian   +4 more
doaj   +1 more source

GRENet: GNSS‐Enhanced Radar Extrapolation Network for Precipitation Nowcasting

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Accurate precipitation nowcasting is one of the most challenging tasks in atmospheric sciences. The current methods of nowcasting primarily rely on inferring precipitation from radar reflectivity, which inevitably leads to uncertainties in forecasts due to the limitations of single radar data in capturing the detailed initial conditions of ...
Cuixian Lu, Quanfei Wang, Yuxin Zheng, Xiaohong Zhang, Jiafeng Li, Xuanzhen Zhang, Galina Dick, Jonathan Jones   +7 more
wiley   +1 more source

Daytime Ionospheric F‐Region Topside Irregularities Associated With Significant Density Enhancement at Low Latitudes During the 12 November 2025 Magnetic Storm

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract In this study, daytime F‐region irregularities were observed at low latitudes during the main phase of the 12 November 2025 strong magnetic storm, causing intense very high frequency radar echoes ranging hundreds of kilometers in altitude.
Wenjie Sun, Guozhu Li, Guofeng Dai, Haiyong Xie, Lianhuan Hu, Biqiang Zhao, Zequan Wang, Jianfei Liu, Xiukuan Zhao, Yi Li, Baiqi Ning   +10 more
wiley   +1 more source

An Optimized Parameterization of Sub‐Grid Scale Advection for Convection Permitting Models

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract Convection‐permitting models (CPMs) explicitly resolve deep convection yet under‐resolve the organized lateral exchanges among drafts and their environment that control entrainment/detrainment, precipitation efficiency, and mesoscale structure.
Samson Hagos, Zhe Feng, Adam C. Varble, Sheng‐Lun Tai   +3 more
wiley   +1 more source