Landfast ice in the Kara Sea stabilizes the Arctic halocline and may slow down Atlantification of the Eurasian Basin by Yuqing Liu, Martin Losch, L. Bruno Tremblay, Markus Janout

“…Abstract Observations show an Atlantification of the Eurasian Basin of the Arctic Ocean, with deeper penetration, shoaling, and ventilation of Atlantic waters in the eastern Arctic and an associated weakening of the cold halocline layer. …”
Get full text

Non-Zero Coriolis Field in Ehlers’ Frame Theory by Federico Re, Oliver F. Piattella

“…Taking advantage of the Coriolis field, we apply Ehlers’ theory to an axially symmetric distribution of matter, mimicking, for example, a disc galaxy, and show how its dynamics might reproduce a flattish rotation curve. …”
Get full text

Conservative Semidiscrete Difference Schemes for Timoshenko Systems by D. S. Almeida Júnior

“…We derive numerical energies showing the positivity, and the energy conservation property and we show how to avoid a numerical anomaly known as locking phenomenon on shear force. …”
Get full text

The Generalization Error Bound for A Stochastic Gradient Descent Family bia A Gaussian Approximation Method by Chen Hao, Mo Zhanfeng, Yang Zhouwang

“…We study 𝒰-SGD dynamics, and we show both theoretically and numerically that the limiting model parameter distribution tends to be Gaussian, even when the original gradient noise is non-Gaussian. …”
Get full text

Local topological order and boundary algebras by Corey Jones, Pieter Naaijkens, David Penneys, Daniel Wallick, Masaki Izumi

“…We introduce a set of axioms for locally topologically ordered quantum spin systems in terms of nets of local ground state projections, and we show they are satisfied by Kitaev’s Toric Code and Levin-Wen type models. …”
Get full text

The Dust Extinction Curve: Beyond R(V) by Gregory M. Green, Xiangyu Zhang, Ruoyi Zhang

“…The dust extinction curve is typically parameterized by a single variable, R ( V ), in optical and near-infrared wavelengths. …”
Get full text

Hysteretic properties and numerical simulation of new self-centering coupling beams by Jizhi SU, Zhenyu TONG, Yong LI, Haifeng YU, Haoxuan ZHANG, Zuanfeng PAN

“…Finally, a finite element model of SCCB was established and parameterized. The results show that the hysteretic properties of SCCB show a typical "flag type" . …”
Get full text

Toward the Bayesian brain: a generative model of information transmission by vestibular sensory neurons by Michael G. Paulin, Kiri F. Pullar, Larry F. Hoffman

“…Each interval in an Exwald distribution is the sum of an interval drawn from an Exponential distribution and a Wald or Inverse Gaussian distribution. We show that this abstract model can be realized using simple physical mechanisms and re-parameterized in terms of the relevant kinematic state variables of the head. …”
Get full text

内平动齿轮传动装置的参数化建模及干涉检验 by 丛龙兴, 焦永和, 张春林, 苏伟

“…The results show that the interferences in involute planetary gear drive with small tooth number diffference can be directly detected using virtual prototype technology.…”
Get full text

Wind Shear and the Role of Eddy Vapor Transport in Driving Water Convection on Jupiter by Ramanakumar Sankar, Michael H. Wong, Csaba Palotai, Shawn Brueshaber

“…For instance, observations of lightning show that the cyclonic features (e.g., belts and folded filamentary regions) show increased convective activity compared to anticyclonic regions. …”
Get full text

The Dynamic Prediction Method for Aircraft Cabin Temperatures Based on Flight Test Data by He Li, Jianjun Zhang, Liangxu Cai, Minwei Li, Yun Fu, Yujun Hao

“…The model validation results show that the established temperature environment prediction model can accurately predict the change curve of the cabin temperature during the flight of the aircraft, and the model has a good follow-up performance, which reduces the prediction error caused by the temperature hysteresis effect. …”
Get full text

A Data‐Driven Approach for the Prediction of Reynolds Number Effects on Wind Turbine Airfoil Aerodynamic Polars by Ahmet Can Özgören, Oğuz Uzol

“…All available airfoil geometries are parameterized using PARSEC methodology, and response surfaces are generated to predict Clmax and Cdmin of a given airfoil operating at a given Reynolds number. …”
Get full text

Capabilities of the WRF-Chem model in estimating the concentration of dust – A case study of a dust storm in Tehran by Amirhossein Nikfal, Abbas Ranjbar Saadatabadi, Sara Karami, Saviz Sehatkashani

“…Because of some limitations in the MADE aerosol scheme for the regions with high topographical features, its results might show over- and/or underestimations. Also if there are errors in the land use data and the erosion properties of soil, the model results may show a discrepancy from the real measurements. …”
Get full text

Trajectory Optimization of Eight-link Mechanism for Legs of Walking Bio-robot by Zhang Chenxi, Wu Shengquan, He Yong, Fu Chunping

“…The simulation results show that the parameters of speed,stability and obstacle crossing are improved in one movement cycle and the optimization effect is obvious. …”
Get full text

Joint Effects of Submesoscale Lateral Dispersion and Biological Reactions on Biogeochemical Flux by Lulabel R. Seitz, Mara A. Freilich

“…We formulate an idealized model of phytoplankton growth and transport to understand the key factors driving these biophysical interactions and to determine how the impact of submesoscale dispersion on biogeochemical fluxes depends on flow properties versus biology. By parameterizing the effects of dispersion due to lateral stirring on flux within an eastern boundary current region, we show that enhanced dispersion yields a near‐linear increase in cross‐shore flux, modulated by phytoplankton growth rates and ambient nutrient availability. …”
Get full text

Comparison of Weibull Estimation Methods for Diverse Winds by Ferhat Bingöl

“…The available data display seasonal variations, with low wind speeds in different seasons and effects of a moderately complex surrounding. The results show that the maximum likelihood method is much more successful than industry standard WAsP method when the diverse winds with high percentile of low wind speed occur.…”
Get full text

On the Importance of Learning Non‐Local Dynamics for Stable Data‐Driven Climate Modeling: A 1D Gravity Wave‐QBO Testbed by Hamid A. Pahlavan, Pedram Hassanzadeh, M. Joan Alexander

“…Here, by integrating machine learning (ML) theory with climate physics, we demonstrate the importance of learning spatially non‐local dynamics using a 1D quasi‐biennial oscillation model with parameterized gravity waves (GW) as a testbed. While common offline metrics fail to identify shortcomings in learning non‐local dynamics, we show that the receptive field (RF) can identify instability a‐priori. …”
Get full text

Critical Condition of Core-collapse Supernovae. I. One-dimensional Models by David Pochik, Todd A. Thompson

“…We derive ${L}_{\nu }^{{\rm{crit}}}$ as a function of the input parameters. We show that increasing the pressure of the pre-shock flow, as parameterized by lowering ${ \mathcal M }$ , lowers the normalization of the critical condition. …”
Get full text

Multi-Model Simulations of a Mediterranean Extreme Event: The Impact of Mineral Dust on the VAIA Storm by Tony Christian Landi, Paolo Tuccella, Umberto Rizza, Mauro Morichetti

“…Comparisons of model predictions with rainfall measurements (GRISO: Spatial Interpolation Generator from Rainfall Observations) over the Italian peninsula show the models’ ability to reproduce heavy orographic precipitation in alpine regions. …”
Get full text

Research on MRD Parametric Model Based on Magic Formula by Wei Pan, Zhengtao Yan, Jingjun Lou, Shijian Zhu

“…In order to get a better description to the nonlinear characteristics of magnetorheological dampers, the magic formula is introduced into the general method of parametric modelling of magnetorheological dampers to propose a new parameterized model called magic formula-hysteresis loop model (MFM). …”
Get full text