Results 131 to 140 of about 5,400 (286)
Near‐resonant excitation of the Adriatic barotropic modes: The seiche events of December 2019
This study examines severe flooding in the northern Adriatic Sea in December 2019, which existing forecasting systems failed to predict. Analysis of wind and sea‐level data, alongside reanalysis datasets and a high‐resolution hydrodynamic model, revealed a wind‐induced resonance mechanism.
Marco Bajo +3 more
wiley +1 more source
This paper concerns the exponential attitude-orbit coordinated control problems for gravitational-wave detection formation spacecraft systems. Notably, the large-scale communication delays resulting from oversized inter-satellite distance of space-based ...
XING Youpeng +3 more
doaj +1 more source
Forecast‐Error Diagnostics in Neural Weather Models
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan +2 more
wiley +1 more source
Preferential Accretion onto the Secondary Black Hole Strengthens Gravitational-wave Signals
Pulsar timing arrays have recently found evidence for nanohertz gravitational waves that are consistent with being produced by a cosmological population of binary supermassive black holes (SMBHs).
Julia M. Comerford, Joseph Simon
doaj +1 more source
Micro-tidal disruption events in young star clusters
Context. Dense young star clusters (YSCs) are ideal environments for dynamical interactions between stars and stellar compact objects, such as black holes and neutron stars.
Rastello Sara +3 more
doaj +1 more source
Gravitational wave detection based on gravitomagnetic effects
In this paper, we explore the feasibility of detecting gravitomagnetic effects generated by gravitational waves, by monitoring the relative orientation of the angular momentum vectors of test particles.
Yu-Qi Dong, Yu-Xiao Liu, Zhoujian Cao
core +1 more source
This work investigates the detection of binary neutron stars gravitational wave based on convolutional neural network (CNN). To promote the detection performance and efficiency, we proposed a scheme based on wavelet packet (WP) decomposition and CNN. The
Li, Xiangru, Yu, Woliang, Lin, Baijiong
core +1 more source
ERA5 hourly 325‐m and 1512‐m (a) convergence and (b) vertical motion (actually pressure change with sign reversed to compare with convergence) over Sable Island around the time of an event. The mist (green) and fog (red) occurrences at the surface station are shown at the bottom of the figures. A 325‐m fitted line convergence was positive for the first
Clive E. Dorman +8 more
wiley +1 more source
In the space-based gravitational wave detections, the axion-like dark matter would alter the polarization state of the laser link between spacecrafts due to the birefringence effect.
Yong-Yong Liu +5 more
doaj +1 more source
Machine Learning for the Characterization of Gravitational Wave Data
The low-latency characterization of detector noise is a crucial step in the detection of gravitational waves. In particular, a rapid classification and identification of transient noise sources, usually referred to as glitches, is very important when ...
Iess A, Morawski F, Cuoco E, Razzano M
core

