Results 41 to 50 of about 7,002 (201)

Characteristics of upper‐level updrafts and downdrafts in the anvils of tropical deep convective clouds

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study investigates the thermodynamic and microphysical characteristics of updrafts and downdrafts of tropical deep convective anvil clouds using in situ measurements. We found that parts of the downdrafts are in ice supersaturation in these clouds.
Sreehari Kizhuveettil, Jordi Vila‐Guerau de Arellano, Martina Krämer, Armin Afchine, Luiz A. T. Machado, Martin Zöger, Wiebke Frey   +6 more
wiley   +1 more source

A Method for Identifying Rainfall‐Runoff Events at Sub‐Hourly Time Scales: Applications for Nature‐Based Solutions and Water Resources

River Research and Applications, EarlyView.
ABSTRACT Understanding how changes in catchment conditions affect ecohydrology in response to rainfall‐runoff events is crucial when developing informed strategies to enhance flow resilience, restore natural habitats, interpret water quality data or reduce flood risk.
Josie Ashe, Daniella Montali‐Ashworth, Alan Puttock, Naomi Gatis, David Luscombe, Kirsty Frith, Pia Benaud, Richard E. Brazier   +7 more
wiley   +1 more source

Validation of a Particle Image Velocimetry Algorithm Through Comparative Field and Laboratory Analysis

River Research and Applications, EarlyView.
ABSTRACT Flow velocity measurement is fundamental to hydrological and hydraulic studies, providing essential data for streamflow estimation and river dynamics analysis. Traditional in situ methods like propeller gauges and acoustic Doppler current profilers are accurate but intrusive and labour‐intensive, while non‐intrusive image processing methods ...
Ghazaleh Nassaji Matin, Gareth Bradbury, Alan Puttock, Kirsty Frith, Diego Panici   +4 more
wiley   +1 more source

A Micro-Doppler Modulation of Spin Projectile on CW Radar

ITM Web of Conferences, 2017
To obtain the spin speed of projectile effectively, a micro-Doppler modulation model of rotating projectile measured by continuous-wave radar (CW radar) is introduced.
Liu Zhi-Xue
doaj   +1 more source

Study on Weather Radar Echo Data Generation Based on DCGAN

IEEE Access, 2019
Doppler weather radar can detect the changes in precipitation clouds for short-term forecasting. In the process of development of Doppler weather radar and weather identification algorithms, some typical Doppler weather radar base data corresponding to ...
Haijiang Wang, Mengqing Gao, Shipeng Hu, Zhaoping Sun, Zili Xu   +4 more
doaj   +1 more source

Modelling the Four‐Dimensional Power Line Sag Dynamics by Point Signature in Time‐Series Synthetic‐Aperture Radar Images

High Voltage, EarlyView.
ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma, Tao Li, Mahdi Motagh, Yan Liu, Yangmao Wen   +4 more
wiley   +1 more source

A 1D Cascaded Denoising and Classification Framework for Micro-Doppler-Based Radar Target Recognition

Remote Sensing
Micro-Doppler signatures play a crucial role in capturing target features for the radar classification task, and the time–frequency distribution method is widely used to represent micro-Doppler signatures in many applications including human activities ...
Beili Ma, Baixiao Chen
doaj   +1 more source

Improved rain rate and drop size retrievals from airborne Doppler radar [PDF]

Atmospheric Chemistry and Physics, 2017
Satellite remote sensing of rain is important for quantifying the hydrological cycle, atmospheric energy budget, and cloud and precipitation processes; however, radar retrievals of rain rate are sensitive to assumptions about the raindrop size ...
S. L. Mason, S. L. Mason, J. C. Chiu, J. C. Chiu, R. J. Hogan, R. J. Hogan, L. Tian, L. Tian   +7 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

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