4 citations · 4 across the 1 of their papers we have counts for
2 papers
physics.ao-ph2021★ 4 cited
Super-Resolution of Near-Surface Temperature Utilizing Physical Quantities for Real-Time Prediction of Urban Micrometeorology
Yuki Yasuda, Ryo Onishi, Yuichi Hirokawa +2
The present paper proposes a super-resolution (SR) model based on a convolutional neural network and applies it to the near-surface temperature in urban areas. The SR model incorpo…
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).…