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20192023
most citedSuper-Resolution of Three-Dimensional Temperature and Velocity for Building-Resolving Urban Micrometeorology Using Physics-Guided Convolutional Neural Networks with Image Inpainting Techniques

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physics.ao-ph2023★ 1 cited

Super-Resolution of Three-Dimensional Temperature and Velocity for Building-Resolving Urban Micrometeorology Using Physics-Guided Convolutional Neural Networks with Image Inpainting Techniques

Yuki Yasuda, Ryo Onishi, Keigo Matsuda

Atmospheric simulations for urban cities can be computationally intensive because of the need for high spatial resolution, such as a few meters, to accurately represent buildings a…

physics.ao-ph2019

Super-Resolution Simulation for Real-Time Prediction of Urban Micrometeorology

Ryo Onishi, Daisuke Sugiyama, Keigo Matsuda

We propose a super-resolution (SR) simulation system that consists of a physics-based meteorological simulation and an SR method based on a deep convolutional neural network (CNN).…