ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting [PDF]
arXivWeather 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
Assessing probabilistic modelling for wind speed from numerical weather prediction model and observation in the Arctic. [PDF]
Sci Rep, 2021 Chen H +4 more
europepmc +1 more source
A Relationship Between Persistence and Numerical Weather Prediction [PDF]
, 1964 Norman Macdonald, Ralph Shapiro
openalex +1 more source
Advanced Materials, Volume 37, Issue 11, March 19, 2025.Phase‐change materials (PCMs) are transforming reconfigurable photonics with their electrically tunable optical properties. This review examines the thermal challenges of scaling PCM devices to larger volumes beyond storage‐class applications, emphasizing thermal transport mechanisms, material properties, and design strategies.
Kiumars Aryana +10 more
wiley +1 more source
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting [PDF]
arXivOperational 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
Evaluation of Spectral Versus Grid Methods of Hemispheric Numerical Weather Prediction [PDF]
, 1966 Hugh W. Ellsaesser
openalex +1 more source
Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years
Advanced Materials, EarlyView.To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai +8 more
wiley +1 more source
Atmosphere, 2019 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]
arXivExtreme 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
Towards Improved Forecasts of Atmospheric and Oceanic Circulations over the Complex Terrain of the Eastern Mediterranean [PDF]
, 2008 Forecasting atmospheric and oceanic circulations accurately over the Eastern Mediterranean has proved to be an exceptional challenge. The existence of fine-scale topographic variability (land/sea coverage) and seasonal dynamics variations can create ...
Anagnostou, Emmanouil N. +5 more
core +1 more source