A learnable trouble‐cell indicator for hybrid multi‐moment finite‐volume transport modeling on a cubed‐sphere grid
Sign Up to like & getrecommendations! Published in 2025 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.70013
Abstract: A novel learnable trouble‐cell indicator embedded seamlessly into the numerical solver is proposed for simulating tracer transport on a cubed‐sphere grid. Unlike most existing machine‐learning‐based trouble‐cell indicators, which are trained separately from numerical solvers, our… read more here.
Keywords: transport; multi moment; trouble cell; cubed sphere ... See more keywords
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