Results 61 to 70 of about 471,333 (286)
Eos, Transactions American Geophysical Union, 1960 This report, like its predecessor of four years ago, concentrates on the prediction of atmospheric flow patterns by objective methods that are based on the laws of physics. Purely statistical‐empirical methods are not treated.
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International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: Weather maintains and sustains a extremely delicate balance of life on planet Earth. Climate conducts a totally critical function in many key production sectors, e.g., farming. global climate change with high charging nowadays, which is why old weather forecasts are becoming closer and fewer powerful and still be annoying.
V Venkatrama Ravi +4 more
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A weather forecast model accuracy analysis and ECMWF enhancement proposal by neural network [PDF]
, 2019 This paper presents a neural network approach for weather forecast improvement. Predicted parameters, such as air temperature or precipitation, play a crucial role not only in the transportation sector but they also influence people's everyday activities.
Durica, Marek +5 more
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Advanced Engineering Materials, EarlyView.This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
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Waves to Weather: Exploring the Limits of Predictability of Weather
Bulletin of the American Meteorological Society, 2021 AbstractPrediction of weather is a main goal of atmospheric science. Its importance to society is growing continuously due to factors such as vulnerability to natural disasters, the move to renewable energy sources, and the risks of climate change. But prediction is also a major scientific challenge due to the inherently limited predictability of a ...
Craig, George C. +12 more
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Advanced Engineering Materials, EarlyView.Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
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Applied Computational Intelligence and Soft Computing, 2018 The versatility of the neural network (NN) technique allows it to be successfully applied in many fields of science and to a great variety of problems.
Vladimir Krasnopolsky +3 more
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Advanced Functional Materials, EarlyView.An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
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Advanced Functional Materials, EarlyView.This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
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Systematic diurnal bias of the CMA-MESO model in southern China: Characteristics and correction
Frontiers in Earth Science, 2023 Model error is an important source of numerical weather prediction (NWP) errors. Among model errors, the systematic diurnal bias plays an important role in high-resolution numerical weather prediction models.
Yuxiao Chen +7 more
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