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Prediction and Modelling of Turbulence based on Machine Learning

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JAXA Supercomputer System Annual Report February 2024-January 2025 Report Number: R24EACA39 Subject Category: JSS Inter-University Research PDF Responsible Representative: Masanobu Inubushi, Associate Professor, Tokyo University of Science Contact Information: Masanobu Inubushi(inubushi@rs.tus.ac.jp) Members: Susumu Goto, Masanobu Inubushi, Gakuto Kambayashi, Satoshi Matsumoto, Akane Okubo, Tetsuya Shintaku Abstract Turbulence models play essential roles in aerospace science and technology, such as flows around aircraft and of planetary atmospheres. They are rapidly empowered by machine learning methods and will be a crucial building block of・・・<<read more>>

Direct Numerical Simulation of Boundary Layer Transition to Turbulence in a Hypersonic Wind Tunnel

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JAXA Supercomputer System Annual Report February 2024-January 2025 Report Number: R24EFHC0309 Subject Category: Common Business PDF Responsible Representative: Naoyuki Fujita, Security and Information Systems Department, Supercomputer Division Contact Information: Shingo Matsuyama(matsuyama.shingo@jaxa.jp) Members: Shingo Matsuyama Abstract In experiments of boundary layer turbulence transitions by hypersonic wind tunnels, it is known that the first source of disturbance that causes boundary layer transitions on the wind tunnel model is noise (e.g., pressure disturbances) radiated by the turbulent boundary layer that develops on the・・・<<read more>>

GOSAT-2 data research and applications

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JAXA Supercomputer System Annual Report February 2024-January 2025 Report Number: R24ER3501 Subject Category: Space Technology PDF Responsible Representative: Hiroshi Suto, Space Technology Directorate I, Satellite Applications and Operations Center Contact Information: Hiroshi Suto(suto.hiroshi@jaxa.jp) Members: Makiko Hashimoto, Shin Ishida, Kenji Kowata, Fumie Kataoka, Kei Shiomi, Shigeaki Wada, Nobuhiro Kikuchi, Hiroshi Suto Abstract GOSAT-2 project retrieve and estimate the global concentration distribution of major greenhouse gases including the sources and natural absorbers with high level of accuracy to contribute to environmental administration・・・<<read more>>

GOSAT data analysis and Greenhouse gases Observing SATellite (GOSAT) mission

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JAXA Supercomputer System Annual Report February 2024-January 2025 Report Number: R24ER2100 Subject Category: Space Technology PDF Responsible Representative: Hiroshi Suto ,Space Technology Directorate I Satellite Applications and Operations Center, Mission Manager Contact Information: Kei Shiomi, Rio KAJIURA, Shin ISHIDA (shiomi.kei@jaxa.jp;kajiura.rio@jaxa.jp;ishida.shin@jaxa.jp) Members: Masahito Arai, Takashi Goto, Makiko Hashimoto, Hidetoshi Hayasaka, Shin Ishida, Makoto Imanaka, Kenji Kowata, Rio Kajiura, Fumie Kataoka, Mizuki Kato, Nobuhiro Kikuchi, Kazuhiro Matsumoto, Tomoyuki Mabuchi, Itaru Nishido, Hiroshi Suto, Hideki Suetake, Yoko Ueda, Kai Uematsu, Shu Yano Abstract・・・<<read more>>

Development of an EnKF-based ocean data assimilation system

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JAXA Supercomputer System Annual Report February 2024-January 2025 Report Number: R24ER2402 Subject Category: Space Technology PDF Responsible Representative: Riko Oki, Director, Earth Observation Research Center, Space Technology Directorate I Contact Information: Misako Kachi(kachi.misako@jaxa.jp) Members: Misako Kachi, Shun Ohishi, Naoki Sakai Abstract With the recent enhancement of ocean observation networks by satellites and Argo profiling floats, spatiotemporally higher-resolution temperature, salinity, and sea surface height have been observed. However, for example, the satellites cannot observe under rainy conditions, and the number of・・・<<read more>>