Finding Fireballs in Lightning: A Daily Pipeline to Find Meteors in Weather Satellite Data
Abstract Weather satellite data contains a wealth of information well beyond its application to meteorology. The GOES weather satellite Geostationary Lightning Mapper instruments detect millions of lightning strikes per day. Within these “haystacks” of lightning are a handful of “needles” of bolides (aka bright fireballs, or exploding meteors). We have
Jeffrey C. Smith +6 more
wiley +1 more source
An ultrafast plenoptic-camera system for high-resolution 3D particle tracking in unsegmented scintillators. [PDF]
Dieminger T +9 more
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Abstract Io's tenuous atmosphere consists primarily of sulfur dioxide (SO2 ${\text{SO}}_{2}$) with observed column densities of approximately 1016−1017 $1{0}^{16}-1{0}^{17}$ cm−2 ${\text{cm}}^{-2}$. However, it remains uncertain whether the sublimation of SO2 ${\text{SO}}_{2}$ surface frost or volcanic outgassing is the primary source of the SO2 ...
Leander Schlarmann +4 more
wiley +1 more source
Neural Networks for Estimating Attitude, Line of Sight, and GNSS Ambiguity Through Onboard Sensor Fusion. [PDF]
de Celis R, Cadarso L.
europepmc +1 more source
Seismo‐Acoustic Characterization and Array Processing of Dry‐ and Wet‐Snow Avalanches
Abstract Snow avalanches generate complex seismic and infrasound signals influenced by terrain, snow properties, flow regime, and avalanche size. In this controlled field study, we analyzed the seismo‐acoustic characteristics of three avalanches that released along the same path in the Dischma valley above Davos, Switzerland.
Christine Seupel +3 more
wiley +1 more source
A dynamic risk prediction framework of lane-changing behavior based on driving intention recognition on icy and snowy surfaces. [PDF]
Zhao W, Du X, Wang Z, Guo N.
europepmc +1 more source
Abstract Soft proton contamination presents a persistent threat to the performance of space‐based X‐ray observatories such as ESA's upcoming Solar‐wind Magnetosphere Ionosphere Link Explorer (SMILE). This study develops a machine‐learning framework for modeling soft proton fluxes in the 92.2–159.7 keV range, tailored to SMILE's elliptical, highly ...
Simon Mischel +2 more
wiley +1 more source
Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications. [PDF]
Suarez Del Valle R, Kose A, Lee H.
europepmc +1 more source
A Novel Deep Learning Model for High‐Latitude Ionospheric Convection Using SuperDARN Data
Abstract Plasma convection at high latitudes is a key manifestation of magnetosphere–ionosphere coupling and serves as a critical indicator of space weather conditions. The Super Dual Auroral Radar Network (SuperDARN) provides essential data on ionospheric convection.
Bingjie Gao +6 more
wiley +1 more source
Choose, Compose, Contemplate: Semantic Theorizing in Management Research
Abstract By analysing life stories through a reflexive semantic theorizing process, this article introduces an alternative to many conventional coding‐based qualitative analysis techniques. Rather than relying on coding techniques that often strip narrative data of its context and nuance, following the proposed approach helps preserve the richness and ...
Lakshmi Balachandran Nair, Fabien Moreau
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