Results 101 to 110 of about 6,206 (259)

How consistently do ensemble prediction systems represent the growth of atmospheric uncertainty?

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Spread‐based diagnostics calculated for 12 ensemble prediction systems are compared to understand the consistency with which they represent atmospheric uncertainty growth. Good correlation between all these systems is found in the extratropics for a lead time range from 48 hr to between 96 hr and 192 hr.
Douglas Wood, Suzanne Gray, John Methven, Mark Rodwell   +3 more
wiley   +1 more source

Study of Optical Solitons and Quasi-Periodic Behaviour for the Fractional Cubic Quintic Nonlinear Pulse Propagation Model

Mathematics
This study explores analytical soliton solutions for the cubic–quintic time-fractional nonlinear non-paraxial pulse transmission model. This versatile model finds numerous uses in fiber optic communication, nonlinear optics, and optical signal processing.
Lotfi Jlali, Syed T. R. Rizvi, Sana Shabbir, Aly R. Seadawy   +3 more
doaj   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

Non-Linear Plasma Wave Dynamics: Investigating Chaos in Dynamical Systems

Mathematics
This work addresses the significant issue of plasma waves interacting with non-linear dynamical systems in both perturbed and unperturbed states, as modeled by the generalized Whitham–Broer–Kaup–Boussinesq–Kupershmidt (WBK-BK) Equations.
Raymond Ghandour, Abdullah S. Karar, Zaher Al Barakeh, Julien Moussa H. Barakat, Zia Ur Rehman   +4 more
doaj   +1 more source

Forecast‐Error Diagnostics in Neural Weather Models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, Gregor Skok, Žiga Zaplotnik   +2 more
wiley   +1 more source

Quantum Noise: Particles, Waves and Mixture

Applied Sciences
We carry out a theoretical investigation about quantum noise in coherent mixtures of states with different statistics. On the one hand, we investigate the dependence between the behavior wave-particle and associated noise.
Leonardo López-Hernández, Diego Alberto Lara-Bustillos, Guillermo de Jesús Rojas-Prado, Josué Cantera, Edna M. Hernández, Jehú López-Aparicio, Carlos Ernesto Vargas, Víctor Velázquez   +7 more
doaj   +1 more source

Epistemic and aleatoric uncertainty quantification in weather and climate models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield, Hannah M. Christensen   +1 more
wiley   +1 more source

Many-body chaos and pole-skipping in holographic charged rotating fluids

Journal of High Energy Physics
Recent developments identify pole-skipping as a ‘smoking-gun’ signature of the hydrodynamic nature of chaos, offering an alternative way to probe quantum chaos in addition to the out-of-time-ordered correlator (OTOC).
Hong-Da Lyu, Jun-Kun Zhao, Li Li
doaj   +1 more source

Arts Syndrome and Involuntary Eye Movements

Movement Disorders Clinical Practice, EarlyView.
Victor Rebelo Procaci, Victor Augusto Vanderlinde Camara, Flavio Moura Rezende Filho, José Luiz Pedroso, Orlando Graziani Povoas Barsottini   +4 more
wiley   +1 more source

From Flybys to Sample Return: A Review of Space Probes and Robotic Sampling Technologies for Small Bodies

Journal of Field Robotics, EarlyView.
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang, Hao Zhou, Dalin Zhou, Zhaojie Ju   +3 more
wiley   +1 more source