Results 121 to 130 of about 673,458 (365)
ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting [PDF]
Weather forecasting plays a vital role in today's society, from agriculture and logistics to predicting the output of renewable energies, and preparing for extreme weather events. Deep learning weather forecasting models trained with the next state prediction objective on ERA5 have shown great success compared to numerical global circulation models ...
arxiv
COMPARATIVE TEST OF WIND LAWS FOR NUMERICAL WEATHER PREDICTION1 [PDF]
Hugh W. Ellsaesser
openalex +1 more source
Heterostructures have emerged as advanced electrocatalysts to convert earth‐abundant simple molecules into high‐value‐added products. On the basis of atomistic understanding to accelerate the electrochemical processes, the architecture of heterostructured electrocatalysts is comprehensively discussed from the point of view of modulating electronic ...
Yun Li+3 more
wiley +1 more source
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting [PDF]
Operational weather forecasting system relies on computationally expensive physics-based models. Recently, transformer based models have shown remarkable potential in weather forecasting achieving state-of-the-art results. However, transformers are discrete and physics-agnostic models which limit their ability to learn the continuous spatio-temporal ...
arxiv
A Relationship Between Persistence and Numerical Weather Prediction [PDF]
Norman Macdonald, Ralph Shapiro
openalex +1 more source
Sustainable 4D Printed Meta Biocomposite Materials for Programmable Structural Shape Changing
In this work, the architecture of a plant fiber cell wall is simplified to design novel concepts of 4D printed tubular moisture‐driven structural actuators, using the hygromorphic properties of continuous flax fiber (cFF) reinforced materials named meta biocomposites.
Melvin Josselin+4 more
wiley +1 more source
To improve the landfalling tropical cyclone (TC) forecasting, the pseudo inner-core observations derived from the optimal-member forecast (OPT) and its probability-matched mean (OPTPM) of a mesoscale ensemble prediction system, namely TREPS, were ...
Xubin Zhang, Meiling Chen
doaj +1 more source
XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change [PDF]
Extreme weather events are increasing in frequency and intensity due to climate change. This, in turn, is exacting a significant toll in communities worldwide. While prediction skills are increasing with advances in numerical weather prediction and artificial intelligence tools, extreme weather still present challenges.
arxiv
Evaluation of Spectral Versus Grid Methods of Hemispheric Numerical Weather Prediction [PDF]
Hugh W. Ellsaesser
openalex +1 more source
Omnidirectional strain sensing is crucial in healthcare monitoring, human motion detection, and human‐machine interfaces. By mimicking the 3D structure of human fingers, this work introduces a novel heterogeneous substrate incorporating the involute of a circle which enables the device to achieve isotropic omnidirectional hypersensitive strain sensing ...
Muzi Xu+6 more
wiley +1 more source