Researcher Information
researchmap URL
Research Areas
Research History
- Apr. 2026 - Present
Japan Agency for Marine-Earth Science and Technology, Research Institute for Earth and Information Sciences, Data Science Research Program, Researcher - Apr. 2025 - Present
Chiba University, Center for Environmental Remote Sensing, Visiting Associate Professor - Mar. 2023 - Present
d.weather inc., Director, Co-Founder - Jul. 2025 - Mar. 2026
Japan Agency for Marine-Earth Science and Technology, Data Science Research Group, CEIST, VAiG, Researcher - Oct. 2024 - Jun. 2025
Institute of Science Tokyo, Supercomputing Research Center, Institute of Integrated Research, Specially Appointed Associate Professor - Jan. 2023 - Sep. 2024
Tokyo Institute of Technology, Global Scientific Information and Computing Center, Specially Appointed Associate Professor - Jun. 2021 - Dec. 2022
Tokyo Institute of Technology, Global Scientific Information and Computing Center, Postdoctoral Researcher - Feb. 2020 - May 2021
UMITRON PTE. LTD., Software Engineer - Apr. 2017 - Feb. 2020
Mitsubishi UFJ Morgan Stanley Secrurities, Financial Engineering Department, Quant Engineer
Education
- Apr. 2013 - Mar. 2017, The University of Tokyo, Graduate School of Science, Department of Earth and Planetary Science
- Apr. 2011 - Mar. 2013, The University of Tokyo, Graduate School of Science, Department of Earth and Planetary Science
- Apr. 2007 - Mar. 2011, Tokyo Institute of Technology, School of Science, 物理学科
Research activity information
Papers
- Aditya Sai Pranith Ayapilla; Kazuya Miyashita; Yuki Yasuda; Ryo Onishi
Diffusion-Model-Based Probabilistic Spatiotemporal Super-Resolution Data Assimilation of Geophysical Fluid Flows
International Conference on Computational Fluid Dynamics, Jul. 2026
[Reviewed] - Anwar Alsulami; Yuki Yasuda; Ryo Onishi; Yu-Kun Lai; Kensuke Yokoi
Acceleration of three-dimensional free-surface flow simulations using super-resolution convolutional neural network
Physics of Fluids, 01 Apr. 2026
[Reviewed] - Yuki Yasuda; Ryo Onishi
Probabilistic Super-Resolution for Urban Micrometeorology via a Schrödinger Bridge
Scientific Online Letters on the Atmosphere, Jan. 2026
22, 8
[Reviewed]
Lead, Corresponding - Yuki Yasuda; Ryo Onishi
Unsupervised super-resolution data assimilation using conditional variational autoencoders with estimating background covariances via super-resolution
Physics of Fluids, 01 Apr. 2025
37, 4, 047149
[Reviewed]
Lead, Corresponding - Yuki Yasuda
Symmetry and Deep Learning: Fluid Super-Resolution as a Counterexample
Nagare, 2025
44, 3, 222, 228
[Invited]
Lead, Corresponding - Yuki Yasuda; Ryo Onishi
Zero-Shot Super-Resolution from Unstructured Data Using a Transformer-Based Neural Operator for Urban Micrometeorology
Scientific Online Letters on the Atmosphere, 2025
21, 355, 361
[Reviewed]
Lead, Corresponding - Arinori Notsu; Yuki Yasuda; Ryo Onishi
Four-Dimensional Super-Resolution Data Assimilation (4D-SRDA) for Prediction of Three-Dimensional Quasi-Geostrophic Flows
Scientific Online Letters on the Atmosphere, 2025
21B, 1, 7
[Reviewed] - Yuki Yasuda; Ryo Onishi
Two-Stage Super-Resolution Simulation Method of Three-Dimensional Street-Scale Atmospheric Flows for Real-Time Urban Micrometeorology Prediction
Urban Climate, 2025
59, 102300
[Reviewed]
Lead, Corresponding - Yuki Yasuda; Tsubasa Kohyama
A Mechanism of Stochastic Synchronization in the Climate System: an Interpretation of the Boundary Current Synchronization as a Maxwell's Demon
Journal of Climate, 2025
38, 7, 1573, 1594
[Reviewed]
Lead, Corresponding - Yuki Yasuda
A Theory of Data Assimilation Using Deep Generative Models and Its Application to Oceanic Jet Streams
システム/制御/情報, Jun. 2024
68, 7, 278, 283
[Invited]
Lead, Corresponding - Yuki Yasuda; Ryo Onishi
Spatio‐Temporal Super‐Resolution Data Assimilation (SRDA) Utilizing Deep Neural Networks With Domain Generalization
Journal of Advances in Modeling Earth Systems, Nov. 2023
15, 11, e2023MS003658
[Reviewed]
Lead, Corresponding - Yuki Yasuda; Ryo Onishi; Keigo Matsuda
Super-resolution of three-dimensional temperature and velocity for building-resolving urban micrometeorology using physics-guided convolutional neural networks with image inpainting techniques
Building and Environment, Jul. 2023
243, 110613
[Reviewed]
Lead, Corresponding - Yuki Yasuda; Ryo Onishi
Rotationally equivariant super-resolution of velocity fields in two-dimensional flows using convolutional neural networks
APL Machine Learning, 01 Jun. 2023
1, 2
[Reviewed]
Lead, Corresponding - Ryo Onishi; Joe Hirai; Dmitry Kolomenskiy; Yuki Yasuda
Real-Time High-Resolution Prediction of Orographic Rainfall for Early Warning of Landslides
Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022, 2023
237, 248 - 安田勇輝; 大西領; 廣川雄一; KOLOMENSKIY Dmitry; 杉山大祐
畳み込みニューラルネットによる都市微気象シミュレーションの物理超解像
ながれ, Apr. 2022
41, 2, 85, 88
[Invited]
Lead, Corresponding - Yuki Yasuda; ryo onishi; Yuichi Hirokawa; Dmitry Kolomenskiy; Daisuke Sugiyama
Super-resolution of near-surface temperature utilizing physical quantities for real-time prediction of urban micrometeorology
Building and Environment, Feb. 2022
209, 108597, 108597
[Reviewed]
Lead, Corresponding - Y. Yasuda; R. Onishi; K. Matsuda
Three-Dimensional Super-Resolution of Passive-Scalar and Velocity Distributions Using Neural Networks for Real-Time Prediction of Urban Micrometeorology
15th World Congress on Computational Mechanics (WCCM-XV) and 8th Asian Pacific Congress on Computational Mechanics (APCOM-VIII), 2022
[Reviewed]
Lead, Corresponding - Yuki Yasuda; Freddy Bouchet; Antoine Venaille
A New Interpretation of Vortex-Split Sudden Stratospheric Warmings in Terms of Equilibrium Statistical Mechanics
Journal of the Atmospheric Sciences, 01 Dec. 2017
74, 12, 3915, 3936
[Reviewed]
Lead, Corresponding - Yuki Yasuda; Michael A. Spall
Influences of Time-Dependent Precipitation on Water Mass Transformation, Heat Fluxes, and Deep Convection in Marginal Seas
Journal of Physical Oceanography, Jul. 2015
45, 7, 1822, 1842
[Reviewed]
Lead, Corresponding - Yuki Yasuda; Kaoru Sato; Norihiko Sugimoto
A Theoretical Study on the Spontaneous Radiation of Inertia–Gravity Waves Using the Renormalization Group Method. Part II: Verification of the Theoretical Equations by Numerical Simulation
Journal of the Atmospheric Sciences, 01 Mar. 2015
72, 3, 984, 1009
[Reviewed]
Lead, Corresponding - Yuki Yasuda; Kaoru Sato; Norihiko Sugimoto
A Theoretical Study on the Spontaneous Radiation of Inertia–Gravity Waves Using the Renormalization Group Method. Part I: Derivation of the Renormalization Group Equations
Journal of the Atmospheric Sciences, 01 Mar. 2015
72, 3, 957, 983
[Reviewed]
Lead, Corresponding - Yuki YASUDA; Kaoru SATO
The Effect of the Horizontal Component of the Angular Velocity of the Earth's Rotation on Inertia-Gravity Waves
Journal of the Meteorological Society of Japan. Ser. II, 2013
91, 1, 23, 41
[Reviewed]
Lead, Corresponding
Misc.
- Aditya Sai Pranith Ayapilla; Kazuya Miyashita; Yuki Yasuda; Ryo Onishi
Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models
Apr. 2026 - Yuki Yasuda; Tobias Bischoff
Predictor-Driven Diffusion for Spatiotemporal Generation
Mar. 2026
Lead, Corresponding
Presentations
- Yuki Yasuda; Ryo Onishi
Estimating Background Error Covariances via Neural Super-Resolution
JpGU-AGU Joint Meeting 2026, 25 May 2026 - Yuki Yasuda; Tobias Bischoff
Spatiotemporal Prediction and Generation with Scale-Aware Diffusion via Renormalization Group
JpGU-AGU Joint Meeting 2026, 25 May 2026 - Yuki Yasuda; Ryo Onishi
Probabilistic Super-Resolution of Urban Micrometeorology via a Schrödinger Bridge Framework
AGU25, 16 Dec. 2025 - Yuki Yasuda; Tobias Bischoff
Closure Theory Using the Renormalization Group and Diffusion Models
AGU25, 16 Dec. 2025 - 安田勇輝; 大西領; 久保大輔; 大瀬戸篤司
ドローン疑似観測値を活用した都市微気象の 3D 超解像
日本気象学会2025年度秋季大会, 06 Nov. 2025 - 安田勇輝; Tobias Bischoff
くりこみ群と深層拡散モデルによるクロージャー理論
日本気象学会2025年度秋季大会, 05 Nov. 2025 - 安田勇輝
深層学習による超解像を利用したデータ同化
応用統計シンポジウム2025, 01 Nov. 2025, [Invited] - 安田勇輝; Tobias Bischoff
くりこみ群と拡散モデルによる多スケール現象の有効理論
第一回地球科学における AI 応用研究ワークショップ, 27 Oct. 2025 - 安田勇輝
深層学習による超解像を用いた微気象予測の高速化
第3回MSSGワークショップ, 16 Sep. 2025, [Invited] - Yuki Yasuda; Tsubasa Kohyama
Information-to-Energy Conversion in the Climate System: Boundary Current Synchronization as Maxwell's Demon
JpGU 2025, 25 May 2025, [Invited] - 安田勇輝
微気象と深層学習:予測から科学的理解への架け橋
富岳NEXT FS気象・気候分野公開研究会 / 第4回気象・気候計算科学研究連絡会, 27 Feb. 2025, [Invited] - 安田勇輝; 大西領
深層生成モデルによる超解像データ同化の理論:超解像演算子は背景誤差共分散行列の役割をする
JAMSTEC CEIST セミナー, 08 Oct. 2024, [Invited] - Yuki Yasuda; Tsubasa Kohyama
Interpretation of the Synchronization between the Kuroshio Current and the Gulf Stream as a Maxwell’s Demon
Japan Society of Fluid Mechanics 2024, 26 Sep. 2024, [Invited] - 安田勇輝; 神山翼
⿊潮とメキシコ湾流の同期現象のマクスウェル悪魔としての解釈
京都大学防災研究所 暴風雨セミナー, 16 Jul. 2024, [Invited] - 安田勇輝; 大西領
深層学習を⽤いた都市微気象シミュレーションの⾼速化
京都大学防災研究所 暴風雨セミナー, 16 Jul. 2024, [Invited] - Kazuya Miyashita; Yuki Yasuda; Ryo Onishi
Super-Resolution Data Assimilation Using Denoising Diffusion Probabilistic Models
Japan Geoscience Union Meeting 2024, 30 May 2024, [Invited] - 安田勇輝
深層学習を利用したリアルタイム微気象予測への挑戦
第57回夏季大学 新しい気象学2023, 05 Aug. 2023, [Invited] - 安田勇輝; 大西領; 松田景吾
物理法則と対称性を考慮した深層学習による気象データの高解像度化
WeSCoS Colloquium, 19 Apr. 2023, [Invited]