Results 191 to 200 of about 2,125 (287)
Abstract Strong Thermal Emission Velocity Enhancement (STEVE) is a nightsky optical phenomenon of great research interest in recent years. STEVE is recognized to be co‐located with a latitudinally narrow channel of fast westward ion drifts, also known as “subauroral ion drifts” (SAID).
Jun Liang +7 more
wiley +1 more source
Mobile air quality monitoring and comparison to fixed monitoring sites for instrument performance assessment. [PDF]
Whitehill AR +4 more
europepmc +1 more source
Abstract We present a comprehensive multidisciplinary investigation of the Healy submarine volcano in the southern Kermadec arc, northeast of New Zealand. We show the first results of sidescan‐sonar data collected at a submarine arc volcano by an Autonomous Underwater Vehicle (AUV).
A. Bagnasco +6 more
wiley +1 more source
Investigating the use of physics informed neural networks for dam-break scenarios. [PDF]
Mumtaz K +3 more
europepmc +1 more source
Abstract The Congo River represents one of the largest freshwater discharges in the Atlantic Ocean. In this study, we investigate the role of mesoscale and submesoscale dynamics in modulating salinity transport, using a 3 km‐resolution realistic numerical simulation.
C. Cardot +10 more
wiley +1 more source
Efficient Low-Scaling Calculation of THC-SOS-LR-CC2 and THC-SOS-ADC(2) Excitation Energies Through Density-Based Integral-Direct Tensor Hypercontraction. [PDF]
Sacchetta F +3 more
europepmc +1 more source
A Deep Ensemble Transformer Model for Global Ionosphere Prediction and Uncertainty Quantification
Abstract Accurate global ionospheric forecasting is important for various purposes, from geophysical research to practical applications, including real‐time precise positioning and navigation. Existing studies primarily focus solely on deterministic predictions and often overlook uncertainty quantification.
Shuyin Mao, Junyang Gou, Benedikt Soja
wiley +1 more source
Computational analysis of a class of singular nonlinear fractional multi-order heat conduction model of the human head. [PDF]
Izadi M, Atangana A.
europepmc +1 more source
Abstract Accurate tropical cyclone (TC) intensity (TCI) prediction is critical for effective disaster preparedness. Although machine learning‐based weather prediction models demonstrate strong performance in simulating TC tracks, their TCI predictions show systematic biases.
Yuan Tang +10 more
wiley +1 more source

