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Division 3 Big Data Analysis Technology Development Lab
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The lab predicts rain from several minutes to several hours ahead using weather radar and satellite data.
AboutAbout the lab
Predicting rain minutes ahead, faster and more accurately
The lab of Associate Professor Otsuka studies "precipitation nowcasting," which predicts rain in the very near future from weather radar and satellite observations.
Nowcasting is a technique that analyzes observation data on the spot to predict conditions from several minutes to several hours ahead.
The lab works on both numerical simulation using supercomputers and short-term prediction using deep learning.
As extreme weather becomes more frequent, the lab aims to put its results into real-time operation as quickly as possible so that they can be useful in people's daily lives.
Key terms
- Nowcasting
- A technique that analyzes observation data in real time to predict the weather in the very near future, from several minutes to several hours ahead
- Phased array weather radar
- Weather radar that switches the direction of its radio beam electronically, allowing it to observe the whole sky in three dimensions at high speed
- Deep learning
- A machine learning method in which a neural network with many stacked layers learns features from large amounts of data
ResearchResearch themes
The lab studies nowcasting techniques that analyze data obtained by remote sensing and other means in real time to predict conditions from several minutes to several hours ahead. The methods include simulations based on physical laws and prediction by machine learning, and the key is how far the computation can be simplified while still taking physical laws into account.
*Illustrative imageRain Prediction with 3D Radar Observation
Using data from phased array weather radar, which can rapidly observe the whole sky in three dimensions, the lab works on large-scale numerical simulations on supercomputers and short-term rain prediction with deep learning. The aim is to detect raindrops formed high in the sky early and track their movement.
*Illustrative imageGlobal Rain Prediction from Satellites
Based on the distribution of precipitation around the world observed by satellites, the lab predicts the global precipitation distribution using numerical simulation and machine learning. It has been quick to adopt machine-learning prediction methods.
MembersFaculty
- Associate ProfessorShigenori Otsuka
VoicesStudent voices
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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.
- Top image: “Advanced Technology Demonstrator radar antenna array 02” NOAA / Public domain (cropped)
- Rain Prediction with 3D Radar Observation: “Norman Doppler Radar - NOAA” OAR/ERL/National Severe Storms Laboratory (NSSL). / Public domain (cropped)
- Global Rain Prediction from Satellites: “Global Precipitation Measurement (GPM) Constellation ( )” NASA Goddard Space Flight Center from Greenbelt, MD, USA / Public domain (cropped)
- Related lab (環境予測科学 小槻・岡﨑研究室): “Tracking a Superstorm ( )” NASA Goddard Space Flight Center from Greenbelt, MD, USA / CC BY 2.0 (cropped)
- Related lab (齋藤研究室): “Artifacts at Tsukuba Space Center Space Dome exhibition hall 9” Syced / CC0 (cropped)
- Related lab (第2部門 データベース技術開発部門
（梶原 康司） ): “Nyungwe rahvuspark Landsat 19jul86” Earth Observatory / Public domain (cropped) - Related lab (楊研究室
（Yang lab） ): “Satellite image of Madagascar in September 2003” 作者不詳 / Public domain (cropped)
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