Abstract We present conjugate observations of ionospheric small‐scale magnetic perturbations (dB) $(dB)$ and GPS scintillations from the Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites (TRACERS) and the Canadian High Arctic Ionospheric Network (CHAIN) during a storm‐time substorm on 9 August 2025 in the nightside auroral region ...
Yangyang Shen +12 more
wiley +1 more source
Evaluation of the Ionospheric Corrections Generated by Smartphones with Different Real-Time Products. [PDF]
Zhang Y, Jiang Y, Gao Y.
europepmc +1 more source
Tectonic Tremor Reveals Slow Deformation Along the Antarctic–South American Subduction Zone
Abstract The Antarctic–South American subduction zone is among the least explored convergent margins and lacks documented large interplate earthquakes despite ongoing convergence. Here we report the discovery of tectonic tremor along this plate boundary using continuous seismic data.
K. Azúa, S. Ruiz, S. Ide
wiley +1 more source
A Hybrid CNN-LSTM Architecture for Seismic Event Detection Using High-Rate GNSS Velocity Time Series. [PDF]
Başar D, Çelik RN.
europepmc +1 more source
Abstract Large earthquakes often elevate seismicity in surrounding regions, as seen on the Xainza‐Dinggyê rift in southern Tibet after the 2015 MW 7.8 Gorkha (Nepal) earthquake. In contrast, the EW‐trending Yarlung Zangbo suture (YZS), located directly north of this event, exhibits seismic quiescence.
Yunfeng Tian +6 more
wiley +1 more source
A BDS-eLoran fusion positioning method for resilient PNT under reduced satellite availability. [PDF]
Li J, Wu H.
europepmc +1 more source
Abstract Monitoring water vapor during extreme events is crucial for understanding atmospheric physics, as well as for improving the prediction of severe weather and enhancing early warning systems. The major gap in monitoring water vapor during extreme events lies in the limited spatial and temporal resolutions of existing techniques.
P. Mateus +4 more
wiley +1 more source
MLISB-RTK: Machine Learning Based on Inter-System Biases to Improve the Performance of RTK in Complex Environments. [PDF]
Zhang R, Zhao W, Shao X, Li M.
europepmc +1 more source
High-precision prediction method for mine deformation based on GNSS RTK and stacking ensemble learning. [PDF]
Dong X +7 more
europepmc +1 more source
Measuring Chuckwagon Racehorse Movement Asymmetry Before and After Racing Using Wearable GNSS-IMUs: A Preliminary Study. [PDF]
Eamon CM +11 more
europepmc +1 more source

