Results 41 to 50 of about 4,218 (187)

Impact of Weak‐Constraint Four‐Dimensional Variational data assimilation on the prediction of a sudden stratospheric warming event in 2024

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The Weak‐Constraint Four‐Dimensional Variational (WC‐4DVAR) system markedly improved the analysis and forecasting of the 2024 sudden stratospheric warming (SSW) event. It reduced biases and enhanced 7–9 day predictions of temperature across the SSW life cycle, with the most pronounced gains for winds also during the critical onset period.
Shaoying Li   +5 more
wiley   +1 more source

Wavelet covariance approach to measure convective boundary‐layer structure

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This study introduces a wavelet‐based framework that applies the Haar discrete wavelet transform (DWT) to radiosonde profiles of potential temperature and water vapor mixing ratio for diagnosing convective boundary‐layer (CBL) structure. The method objectively identifies key CBL parameters, including the surface‐layer height, entrainment zone depth ...
Song‐Lak Kang   +2 more
wiley   +1 more source

Hermite Transform Based Algorithm for Detection and Classification of High Impedance Faults

open access: yesIEEE Access, 2022
This work proposes a new algorithm to classify high impedance faults (HIFs) in distribution systems. HIFs can be represented by small current magnitudes with non-linear variations, which complicate their detection in distribution grids.
Daniel Guillen   +3 more
doaj   +1 more source

Modulation of turbulence and mesoscale structure in nested large‐eddy simulations with a gray‐zone parent domain

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The cell perturbation (CP) method mitigate mesoscale structural perturbations entering large‐eddy simulations (LES) from gray‐zone parent domains. The turbulent kinetic energy (TKE) bias‐filtering effect of CP increases with nesting ratio and is most pronounced under weakly convective conditions.
Jung‐Hee Ryu, Song‐Lak Kang
wiley   +1 more source

WMR-DepthwiseNet: A Wavelet Multi-Resolution Depthwise Separable Convolutional Neural Network for COVID-19 Diagnosis

open access: yesDiagnostics, 2022
Timely discovery of COVID-19 could aid in formulating a suitable treatment plan for disease mitigation and containment decisions. The widely used COVID-19 test necessitates a regular method and has a low sensitivity value. Computed tomography and chest X-
Happy Nkanta Monday   +6 more
doaj   +1 more source

Climate‐Driven Mangrove Dieback and Recovery: A Case Study in Albert and Leichhardt Rivers, Australia

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Cycles of dieback and recovery drove mangrove forest dynamics at the Albert and Leichhardt Rivers (Gulf of Carpentaria, Queensland, Australia) over 36 years (1987–2023). Landward margins were the most affected by reduced tidal inundation when the alignment of low lunar declination suppressed tidal range and extreme El Niño phases lowered mean sea level.
Rogerio Victor S. Gonçalves   +4 more
wiley   +1 more source

How We Simulate Nanopores

open access: yesSmall Methods, EarlyView.
Nanopore technology has revolutionized single‐molecule sensing, yet it suffers from an inherent interpretive challenge. Molecular dynamics has emerged as a go‐to method for determining the relationship between the structure of translocating molecules and the nanopore current signals.
Behzad Mehrafrooz   +5 more
wiley   +1 more source

TT4D: Tensor‐Train‐based 4D Time‐Dependent Volume Rendering

open access: yesComputer Graphics Forum, EarlyView.
Abstract Visualizing large‐scale, time‐varying volumetric data using direct volume rendering remains a significant challenge in scientific visualization, particularly as data sizes and resolutions continue to increase. One promising direction for addressing this challenge is the use of tensor decompositions, which have proven to be a useful tool for ...
Clara Hartmann   +2 more
wiley   +1 more source

Wavelet‐Based Hurst Exponent Estimation

open access: yesWIREs Computational Statistics, Volume 18, Issue 3, September 2026.
The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa   +2 more
wiley   +1 more source

Discrete Wavelets and Multiresolution Analysis [PDF]

open access: yes, 1993
Summary: In this paper we present an elementary discussion of the discrete wavelet transform. A major problem is formed by the construction of an orthonormal wavelet basis of the Hilbert space of square integrable functions. It is shown that the concept of a multiresolution analysis is very helpful to make such a construction.
openaire   +4 more sources

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