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Onishi Lab
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A lab using simulation and data science to unravel turbulence in weather and the environment.
AboutAbout the lab
Beyond CFD: toward data-driven fluid research
The Onishi Lab combines large-scale fluid simulation with data science to study turbulence in the environment.
Using computations on supercomputers, it investigates turbulence inside clouds and phenomena of various scales in the atmosphere and ocean.
The lab also works on building systems that predict fine-grained weather for individual city blocks by combining machine learning and data assimilation with predictive simulation.
Key terms
- Turbulence
- Flow in which eddies of various sizes mix irregularly and change erratically as it moves
- Data assimilation
- A method that incorporates observational data into a simulation to bring the results closer to the actual state
- Multiphase turbulence
- Turbulence occurring in a mixture of materials with different properties, such as air and water droplets
- Microclimate
- Weather phenomena near the ground that are strongly affected by buildings and human activity
NewsLab news
A paper by a doctoral student was accepted in Physics of Fluids
A student received the Vision Co-creation Encouragement Award at SSS Vision Matching
A master's student received the Japanese Society for Artificial Intelligence Special Award in the JpGU AI Challenge
Prof. Onishi was named a Fellow of the Japan Society of Fluid Mechanics
A paper co-authored by Prof. Onishi was accepted in Physics of Fluids
ResearchResearch themes
The lab develops technology that integrates large-scale fluid simulation and data science to elucidate and predict environmental turbulence. It is also building a next-generation weather prediction system that combines predictive simulation with machine learning and data assimilation.
*Illustrative imageExploring multiphase turbulence in clouds
The lab investigates multiphase turbulence, such as that inside clouds, through large-scale computation on supercomputers. It is also developing a model (LCS) that tracks the motion and growth of individual cloud particles.
*Illustrative imageA model linking the atmosphere and ocean
To handle weather in which phenomena of different scales interact, the lab participates in the development and societal application of MSSG, a multiscale model coupling the atmosphere and ocean. It also conducts joint research with JAMSTEC.
*Illustrative imageUrban wind and living things
The lab studies how wind in urban canopies lined with tall buildings affects living things and ecosystems. It uses numerical analysis to examine how insects fly in wind and how trees and wind interact.
*Illustrative imageReal-time prediction of urban microclimate
The lab studies mechanisms for predicting in real time the microclimate near the ground, which is affected by buildings and human activity. It is developing AI-integrated predictive simulation that uses deep learning.
MembersFaculty
The Onishi Lab consists of faculty, researchers, secretaries, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorRyo OnishiPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “DNS Velocity Field” Charlesreid1 / CC BY-SA 3.0 (cropped)
- Exploring multiphase turbulence in clouds: “ISS-40 Thunderheads near Borneo” NASA/Expedition 40 crew member / Public domain (cropped)
- A model linking the atmosphere and ocean: “Typhoon Haiyan viewed from International Space Station” NASA/Karen Nyberg / Public domain (cropped)
- Urban wind and living things: “Pantala flavescens (globe skimmer) in flight, side view” Basile Morin / CC BY-SA 4.0 (cropped)
- Real-time prediction of urban microclimate: “US Air Force photo 170903-F-PM645-1558 An aerial view of Shinjuku’s skyscraper district from a UH-1N Iroquois” U.S. Air Force photo by Yasuo Osakabe / Public domain (cropped)
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- Related lab (西迫研究室): “T Junction Microfluidic Device” Wongbria / CC BY-SA 4.0 (cropped)
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