3 papers
physics.ao-ph2019
Storm modulation is feasible through a strategic use of air conditioners
Daisuke Hiruma, Ryo Onishi, Keiko Takahashi +1
Storm trainings, consisting of line-shaped aggregates of cumulonimbi, bring persistent local heavy rains, often causing devastating floods and landslides. Weather control technique…
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).…
physics.flu-dyn2018
Large-scale intermittency and rare events boosted at dimensional crossover in anisotropic turbulence
Keiko Takahasi, Koji Goto, Ryo Onishi +1
Understanding rare events in turbulence provides a basis for the science of extreme weather, for which the atmosphere is modeled by Navier-Stokes equations (NSEs). In solutions of…