Results 131 to 140 of about 11,923 (261)

A synoptic overview of the EUREC4A field campaign

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The figure shows a summary of the important synoptic features and associated cloud patterns during the EUREC4A field campaign, divided into four subjectively defined periods. In period 1 the fish cloud pattern was dominant, associated with a shear line, and there was an initial transport of dust from West Africa that reached Barbados in the third ...
Leo Saffin, Richard Jones, Juliane Schwendike, Arlene Laing, Kathy‐Ann Caesar, Lyndon Alves, Andre Charles, Letitia Humphreys, Carolyn Peck, Cecile Marie‐Luce, Gregory Cato, Nicola Alexander, Elmo Burke, Avlon Charlery, Shamal Clarke, Sheryl Etienne‐Leblanc, Carshena Gordon, Danielle Nurse, Kiran Sedoo, Kaylinda Ward‐Forbes, Anton Wiltshire, Shanea Young, Leif Denby, Douglas J. Parker, Lorenzo Tomassini, Alan Blyth, Gary Lloyd, Alexander G. Jong   +27 more
wiley   +1 more source

End-to-end deep learning for flight trajectory reconstruction from multi-station ADS-B measurements. [PDF]

Sci Rep
Zhang Y, Lian B, Ding Y, Yang C, Xiong X, Lu Y, Tan B, Li T.   +7 more
europepmc   +1 more source

The Mediterranean Extreme Events Experiment and storm Harry in January 2026

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This article introduces the Mediterranean Extreme Events Experiment (M3E) – a new project consisting of partners from Europe and the United States – whose main objective is to improve the weather forecasting of extreme events in the Mediterranean region via the deployment of drifting buoys with barometers (shown).
David A. Lavers, Pierre‐Marie Poulain, Emanuela Clementi, F. Martin Ralph, Luca Centurioni, Linus Magnusson, Mohamed Dahoui, Viviana Piermattei, Olivier Desprez de Gésincourt, Milena Menna, Sébastien Péré, Nadia Pinardi, Paolo Oddo, Yuri Cotroneo, Anna M. Wilson, Katrin Schroeder, Enrico Scoccimarro, Mark J. Rodwell, Matthieu Chevallier, Giacomo Davide Pagliaro, Giannetta Fusco, Giorgio Budillon   +21 more
wiley   +1 more source

Development and Prospects of Multi-Domain Geomagnetic Navigation and Positioning Technologies. [PDF]

Sensors (Basel)
Zhu L, Li H, Zhu B, Liu B, Ouyang J, Xu L, Bian S, Liu F.   +7 more
europepmc   +1 more source

Satellite radiance observation error inflation and spatial thinning: Reconciling idealized theory with near‐operational applications

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Satellite radiance observations are spatially thinned using a grid‐based selection that retains one representative profile per cell. When observation errors are spatially correlated but treated as uncorrelated in the assimilation system, reducing thinning increases their influence, leading to overfitting and reduced analysis fit with other observations.
Joel Bedard, Alain Beaulne, Mark Buehner, Laurence Coursol   +3 more
wiley   +1 more source

Context-Driven Ship, Vehicle, and Aircraft Detection in Colored Synthetic Aperture Radar (SAR) Images. [PDF]

Sensors (Basel)
Geng Z, Wu L, Sun M, Zhang Y, Meng Y, Yao L, Zhu D.   +6 more
europepmc   +1 more source

Relationships between dryline intensity, deep moist convection and regional circulation over interior southern Africa

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We explore the relationship between dryline intensity, convective activity, and the regional circulation over southern Africa during summer by comparing weak and strong convective drylines with each other. We find that strong drylines result in stronger convection with up to 3.6 times more lightning strokes adjacent to the dryline than on weak dryline ...
Lynette van Schalkwyk, Ross C. Blamey, Cornelia Klein, Chris J. C. Reason   +3 more
wiley   +1 more source

Outdoor Autonomous Navigation of a Tailless Flapping-Wing Micro Aerial Vehicle Using Low-Cost MEMS Sensors and GNSS Module. [PDF]

Biomimetics (Basel)
Yuan J, Xiao Y, Wu C, Yuan H, Wu X, Liu W, Cui F.   +6 more
europepmc   +1 more source

Weibull Variational Autoencoder for Remaining Useful Life Prediction

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu, Yoojin Jang, Kwanghui Shin, Jinsoo Jeong, Yong Soo Kim   +4 more
wiley   +1 more source

Portfolio‐Level Reliability Analysis of a Multi‐Asset System: A Frailty Proportional Intensity Modeling Framework

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Understanding and modeling the equipment failure behavior is crucial for reducing downtime, optimizing maintenance strategies, and improving operational safety. This challenge becomes particularly critical in industrial contexts involving multi‐asset portfolios, where heterogeneous conditions influence the reliability of individual assets and,
Zeynab Allahkarami, Ahmad Reza Sayadi, Behzad Ghodrati, Ebru Turanoglu Bekar, Anders Skoogh   +4 more
wiley   +1 more source