[HTML][HTML] Intelligent metasurfaces: control, communication and computing
Controlling electromagnetic waves and information simultaneously by information
metasurfaces is of central importance in modern society. Intelligent metasurfaces are smart …
metasurfaces is of central importance in modern society. Intelligent metasurfaces are smart …
Big Data in Earth system science and progress towards a digital twin
The concept of a digital twin of Earth envisages the convergence of Big Earth Data with
physics-based models in an interactive computational framework that enables monitoring …
physics-based models in an interactive computational framework that enables monitoring …
[HTML][HTML] Accurate medium-range global weather forecasting with 3D neural networks
Weather forecasting is important for science and society. At present, the most accurate
forecast system is the numerical weather prediction (NWP) method, which represents …
forecast system is the numerical weather prediction (NWP) method, which represents …
Learning skillful medium-range global weather forecasting
Global medium-range weather forecasting is critical to decision-making across many social
and economic domains. Traditional numerical weather prediction uses increased compute …
and economic domains. Traditional numerical weather prediction uses increased compute …
[HTML][HTML] Skilful nowcasting of extreme precipitation with NowcastNet
Extreme precipitation is a considerable contributor to meteorological disasters and there is a
great need to mitigate its socioeconomic effects through skilful nowcasting that has high …
great need to mitigate its socioeconomic effects through skilful nowcasting that has high …
Self-supervised contrastive pre-training for time series via time-frequency consistency
Pre-training on time series poses a unique challenge due to the potential mismatch between
pre-training and target domains, such as shifts in temporal dynamics, fast-evolving trends …
pre-training and target domains, such as shifts in temporal dynamics, fast-evolving trends …
GraphCast: Learning skillful medium-range global weather forecasting
R Lam, A Sanchez-Gonzalez, M Willson… - arXiv preprint arXiv …, 2022 - arxiv.org
Global medium-range weather forecasting is critical to decision-making across many social
and economic domains. Traditional numerical weather prediction uses increased compute …
and economic domains. Traditional numerical weather prediction uses increased compute …
ClimaX: A foundation model for weather and climate
Most state-of-the-art approaches for weather and climate modeling are based on physics-
informed numerical models of the atmosphere. These approaches aim to model the non …
informed numerical models of the atmosphere. These approaches aim to model the non …
[HTML][HTML] Diffusion probabilistic modeling for video generation
Denoising diffusion probabilistic models are a promising new class of generative models
that mark a milestone in high-quality image generation. This paper showcases their ability to …
that mark a milestone in high-quality image generation. This paper showcases their ability to …
Earthformer: Exploring space-time transformers for earth system forecasting
Conventionally, Earth system (eg, weather and climate) forecasting relies on numerical
simulation with complex physical models and hence is both expensive in computation and …
simulation with complex physical models and hence is both expensive in computation and …