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Effects of spatiotemporal correlations in wind data on neural network-based wind predictions
This paper investigates the influence of incorporating spatiotemporal wind data on the performance of wind forecasting neural networks.
Prediction of typhoon tracks using a generative adversarial network with observational and meteorological data
Tracks of typhoons are predicted using a generative adversarial network (GAN) with observational data in form of satellite images and meteorological data from a reanalysis database.
Atmospheric and Oceanic Physics
Typhoon track prediction using satellite images in a Generative Adversarial Network
Tracks of typhoons are predicted using satellite images as input for a Generative Adversarial Network (GAN).
Prediction of laminar vortex shedding over a cylinder using deep learning
Unsteady flow fields in the future at a Reynolds number which is not in the training datasets are predicted using a GAN.
Fluid Dynamics
