Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1029/2020ms002109
Abstract: We present a significantly improved data‐driven global weather forecasting framework using a deep convolutional neural network (CNN) to forecast several basic atmospheric variables on a global grid. New developments in this framework include an off‐line… read more here.
Keywords: cubed sphere; weather; driven global; prediction ... See more keywords
Climate-driven global redistribution of an ocean giant predicts increased threat from shipping
Sign Up to like & getrecommendations! Published in 2024 at "Nature Climate Change"
DOI: 10.1038/s41558-024-02129-5
Abstract: Climate change is shifting animal distributions. However, the extent to which future global habitats of threatened marine megafauna will overlap existing human threats remains unresolved. Here we use global climate models and habitat suitability estimated… read more here.
Keywords: climate driven; threat; climate; global redistribution ... See more keywords
An attention-driven global reasoning network for hyperspectral image classification
Sign Up to like & getrecommendations! Published in 2025 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2025.2535743
Abstract: ABSTRACT Hyperspectral images (HSI) contain rich spectral information essential for real-world applications, but traditional methods struggle with limited training data and complexity. Convolutional neural networks (CNNs) also face challenges in capturing global features. This letter… read more here.
Keywords: classification; reasoning; attention driven; global reasoning ... See more keywords