Basic Information

Faculty

• Faculty of Science

Email Address

• Email Address

  wu.pinying.5wkyoto-u.ac.jp

Professional Memberships

• From Nov. 2024, To Oct. 2025

  アメリカ気象学会
• From Apr. 2021, To Present

  日本地球惑星科学連合
• From Jul. 2019, To Present

  日本気象学会

Academic Degree

• 31 Dec. 2015

  国立中央大学修士（大気科学）
• 25 Jul. 2022

  京都大学博士（理学）

Academic Resume (Undergraduate School/Majors)

• 国立中央大学, 地球科学学部大気科学学科, 卒業

Research History

• From Apr. 2025, To Present

  Kyoto University, 理学研究科 附属サイエンス連携探索センター, 助教
• From Sep. 2023, To Mar. 2025

  Meteorological Research Institute, 気象観測研究部, 日本学術振興会外国人特別研究員
• From Jan. 2022, To Jul. 2023

  一般財団法人気象業務支援センター, 第二研究推進室, 研究員
• From Jan. 2016, To Sep. 2018

  国立中央大学, 大気科学系, リサーチアシスタント

ID,URL

• J-Global ID

  202501000116379093

researchmap URL

• https://researchmap.jp/pinying.wu

Research

Research Topics, Overview of the research

• Research Topics

  メソ気象、アンサンブル予報、データ同化

Research Interests

• Predictability
• Data assimilation
• Heavy rainfall
• Ensemble simulations

Research Areas

• Natural sciences, Atmospheric and hydrospheric science, メソ気象
• Natural sciences, Applied mathematics and statistics, データ同化

Papers

• Four‐Dimensional Generalization of Ensemble Singular Vector: Formulation and Experiments With the Lorenz 96 Model

  Pin-Ying Wu; Daisuke Hotta; Takuya Kawabata; Le Duc

  Geophysical Research Letters, 29 Apr. 2026, Peer-reviewed, Lead author, Corresponding author

  Access this paper :

  
• Achievements in atmospheric sciences by the large-ensemble and high-resolution forecasting studies using the supercomputer Fugaku

  Masaki Satoh; Takuya Kawabata; Tomoki Miyakawa; Masuo Nakano; Hisashi Yashiro; Takemasa Miyoshi; Le Duc; Pin-Ying Wu; Tsutao Oizumi; Yasumitsu Maejima; James Taylor; Ryoichi Yoshimura; Koji Terasaki; Yohei Yamada; Ryusuke Masunaga; Takao Kawasaki; Masahiro Tanoue

  Progress in Earth and Planetary Science, 06 Aug. 2025, Peer-reviewed

  
• The Importance of Perturbation Rank in Ensemble Simulations

  Pin-Ying Wu; Takuya Kawabata; Le Duc

  Monthly Weather Review, Feb. 2025, Peer-reviewed, Lead author, Corresponding author

  
• Impacts of Mountain Topography and Background Flow Conditions on the Predictability of Thermally Induced Thunderstorms and the Associated Error Growth

  Pin-Ying Wu; Tetsuya Takemi

  Journal of the Atmospheric Sciences, Apr. 2023, Peer-reviewed, Lead author, Corresponding author

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• Convective-Scale Data Assimilation and Precipitation Prediction with a Local Ensemble Transform Kalman Filter Radar Assimilation System Over Complex Terrain: A Thorough Investigation with the Heavy Rainfall in Taiwan on 16 June 2008

  Shu-Chih Yang; Hsiang-Wen Cheng; Pin-Ying Wu; Zih-Mao Huang; Chih-Chien Tsai

  Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV), 2022

  
• The Impact of Topography on the Initial Error Growth Associated with Moist Convection

  Pin-Ying Wu; Tetsuya Takemi

  SOLA, 2021, Peer-reviewed, Lead author, Corresponding author

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• Convective-Scale Sampling Error and Its Impact on the Ensemble Radar Data Assimilation System: A Case Study of a Heavy Rainfall Event on 16 June 2008 in Taiwan

  Pin-Ying Wu; Shu-Chih Yang; Chih-Chien Tsai; Hsiang-Wen Cheng

  Monthly Weather Review, 20 Aug. 2020, Peer-reviewed, Lead author

  

Presentations

• アンサンブルシミュレーションを用いた気象感度解析のための特異ベクトル手法

  呉品穎

  数理・情報系研究集会

  
• Four-dimensionally-generalized ensemble singular vector for sensitivity analysis.

  Wu, P.-Y.; T. Kawabata; L. Duc

  2025 Autumn Meeting of the Meteorological Society of Japan

  
• Four-dimensional ensemble singular vector: Theoretical framework and experiments with the Lorenz 96 model

  Wu, P.-Y.; T. Kawabata; L. Duc

  The 105th American Meteorological Society Annual Meeting

  
• Ensemble sensitivity analysis for spatial and temporal evolution of heavy rainfall of Typhoon Hagibis (2019) using 1000 members

  Wu, P.-Y.; T. Kawabata; L. Duc

  2024 Autumn Meeting of the Meteorological Society of Japan

  
• Four-dimensional ensemble sensitivity analysis with 1000 members for typhoons and frontal heavy rainfall

  Wu, P.-Y.; T. Kawabata; L. Duc

  The 10th International Symposium on Data Assimilation

  
• Analyzing the sensitivity of rainfall temporal evolution using ensemble simulations

  Wu, P.-Y.; T. Kawabata; L. Duc

  第10回メソ気象セミナー

  
• アンサンブルシミュレーションにおける摂動ランクの重要性

  Wu, P.-Y.; T. Kawabata; L. Duc

  第28回データ同化夏の学校

  
• The necessity of sufficient perturbation rank for adequately conducting ensemble simulations

  Wu, P.-Y.; T. Kawabata; L. Duc

  11th Workshop of International Precipitation Working Group (IPWG-11)

  
• Impacts of Mountain Topography and Background Flow Conditions on the Predictability of Thermally Induced Thunderstorms and the Associated Error

  Wu, P.-Y.; T. Takemi

  International Symposium on Data Assimilation - Online, 03 May 2024

  
• The Importance of Perturbation Rank for Ensemble Simulations and Sensitivity Analysis with 1000-member.

  Wu, P.-Y.; T. Kawabata; L. Duc

  The First KU-NCU Joint Workshop on Mesoscale Modeling and Predictability, 12 Mar. 2024, Invited

  
• The importance of the rank of perturbations in ensemble simulations- in the case of lateral boundary condition perturbations using a regional model

  Wu, P.-Y.; T. Kawabata; L. Duc

  第3回線状降水帯のメカニズム・環境場形成・階層構造に関する研究会, 22 Jan. 2024

  
• The impact of boundary condition perturbations on the estimation of non-Gaussianity using large ensemble simulations

  Wu, P.-Y.; T. Kawabata; L. Duc

  2023 Autumn Meeting of the Meteorological Society of Japan

  
• Investigation of error growth and non-Gaussianity in severe weather predictions using large-ensemble DA

  Wu, P.-Y.; T. Kawabata; L. Duc

  The 9th International Symposium on Data Assimilation

  
• The rank of ensemble perturbations affects wind probability distribution predictions: A case of typhoon large-size ensemble simulations with a limited-area model

  Wu, P.-Y.; T. Kawabata; L. Duc

  第8回 先端的データ同化と巨大アンサンブル研究会, 22 Sep. 2023

  
• Distortion of probability distribution due to insufficient perturbation rank exhibited in 1000-member ensemble simulations. Invited Seminar, National Central University

  Wu, P.-Y.; T. Kawabata; L. Duc

  19 Sep. 2023, Invited

  
• The rank of ensemble perturbations affects wind probability distribution predictions: A case of typhoon large-size ensemble simulations with a limited-area model

  Wu, P.-Y.; T. Kawabata; L. Duc

  第2回都市極端気象シンポジウム・第19回台風研究会

  
• High-resolution 1000-member Ensemble Simulations of Typhoon Hagibis (2019)

  Wu, P.-Y., T. Kawabata, and L. Duc

  Japan Geoscience Union Meeting 2023

  
• Typhoon and heavy rainfall simulations with 1000-member ensembles: Influence of boundary condition perturbations

  Wu, P.-Y.; T. Kawabata; L. Duc; T. Oizumi

  2023 Spring Meeting of the Meteorological Society of Japan

  
• 大規模アンサンブルシミュレーションを用いた強風の発生確率予測

  Wu, P.-Y.; T. Kawabata; L. Duc

  第2回成果創出加速プログラム研究交流会「富岳百景」, 07 Mar. 2023

  
• 1000-member ensemble simulations of typhoon Hagibis (2019) with additional perturbation of boundary condition

  Wu, P.-Y.; T. Kawabata; L. Duc

  「富岳」成果創出加速プログラム「防災・減災に資する新時代の大アンサンブル気象・大気環境予測」テーマ1研究会

  
• Construction of 1000-member ensembles of typhoon Hagibis (2019) and their high wind probability predictions

  Wu, P.-Y.; T. Kawabata; L. Duc

  13th Data Assimilation Workshop, 16 Feb. 2023

  
• Typhoon predictions with large-size ensemble simulations and hybrid data assimilation

  Wu, P.-Y.; T. Kawabata; L. Duc

  NTU-KU Joint Workshop on Severe Weather and Climate Impacts in East Asia

  
• Simulations of Typhoon Hagibis Using High-resolution Large-size Ensemble

  Wu, P.-Y.; T. Kawabata; L. Duc

  第7回大アンサンブルとアプリケーション研究会（サブテーマA）, 08 Nov. 2022

  
• High Wind Probability Prediction of Typhoon Hagibis Using High-resolution Large-size Ensemble

  Wu, P.-Y.; T. Kawabata; L. Duc

  2022 Autumn Meeting of the Meteorological Society of Japan

  
• 大規模アンサンブルを用いた強風発生の確率予測

  Wu, P.-Y.; T. Kawabata; L. Duc

  「富岳」成果創出加速プログラム防災・減災に資する新時代の大アンサンブル気象・大気環境予測2022年度シンポジウム：富岳で見える気象の未来予想図, 10 Sep. 2022

  
• Orographic effects on the predictability of thunderstorms and accompanying rainfall

  Wu, P.-Y.; T. Takemi

  Asia Oceania Geosciences Society (AOGS) 19th Annual Meeting

  
• The impacts of mountain topography and environmental flow conditions on the predictability of thunderstorms and the associated error growth in a diurnal cycle

  Wu, P.-Y.; T. Takemi

  第 4回 先端的モデリングと超高解像度シミュレーション研究会（サブテーマC）, 22 Dec. 2021

  
• The predictability of the moist convection over different mountain sizes and environmental flow conditions

  Wu, P.-Y.; T. Takemi

  The Joint WCRP-WWRP Symposium on Data Assimilation and Reanalysis

  
• The impact of topography on the initial error growth associated with moist convection

  Wu, P.-Y.; T. Takemi

  Japan Geoscience Union Meeting 2021

  
• The impact of topography on the predictability of moist convection and precipitation development

  Wu, P.-Y.; T. Takemi

  DPRI Annual Meeting 2021

  
• The impact of topography on the predictability of moist convection and precipitation development

  Wu, P.-Y.; T. Takemi

  The 101st American Meteorological Society Annual Meeting

  
• The impact of topography on the predictability of moist convection and precipitation development

  Wu, P.-Y.; T. Takemi

  The 9th NCDR and DPRI workshop, 20 Nov. 2020

  
• The impact of topography on the predictability of moist convection and precipitation development

  Wu, P.-Y.; T. Takemi

  The 22nd Workshop on Nonhydrostatic Numerical Models

  
• Convective-scale sampling error and its impact on the ensemble radar data assimilation system

  Wu, P.-Y.; S.-C. Yang; C.-C. Tsai

  The 21st Workshop on Nonhydrostatic Numerical Models

  
• Convective-scale sampling error and its impact on the ensemble radar data assimilation system

  Wu, P.-Y.; S.-C. Yang; C.-C. Tsai

  2019 Autumn Meeting of the Meteorological Society of Japan

  
• Sampling error in the ensemble-based radar data assimilation system and its impact on convective-scale precipitation prediction - a case study of IOP#8 during SoWMEX

  Wu, P.-Y.; S.-C. Yang; C.-C. Tsai

  The 13th Conference on Mesoscale Convective Systems and High-Impact Weather in East Asia

  
• Sampling error in the ensemble-based radar data assimilation system and its impact on convective-scale precipitation prediction - a case study of IOP#8 during SoWMEX

  Wu, P.-Y.; S.-C. Yang; C.-C. Tsai

  7th International Symposium on Data Assimilation

  
• The application of radar data assimilation on intense rainfall prediction.

  Wu, P.-Y.; S-C Yang; C-C Tsai; Y-C Liou; C-Y H.; K-S Chung; Y-M Shao; H-W Cheng; Z-M Huang

  The 7th DPRI-NCDR Workshop, 19 Nov. 2018

  
• Sampling error in the ensemble-based radar data assimilation system and its impact on convective-scale weather prediction

  Wu, P.-Y.; S.-C. Yang; C.-C. Tsai

  Asia Oceania Geosciences Society (AOGS) 15th Annual Meeting

  
• A terrain following covariance localization for the WRF-LETKF radar data assimilation system

  Wu, P.-Y.; S.-C. Yang; C.-C. Tsai

  3rd RIKEN International Symposium on Data Assimilation / the 7th Annual Japanese Data Assimilation Workshop

  
• Improving convective-scale quantitative precipitation nowcasting with the mean recentering scheme

  Wu, P.-Y.; S.-C. Yang; C.-C. Tsai

  The first U.S.-Taiwan workshop on Extreme Precipitation and Weather

  
• Improving convective-scale quantitative precipitation nowcasting with the mean recentering scheme.

  Wu, P.-Y.; S.-C. Yang; C.-C. Tsai

  2015 International Workshop on Typhoon and Flood-APEC Experience Sharing on Hazardous Weather Events and Risk Management

  
• Applications of the mean recentering scheme to quantitative precipitation forecast

  Wu, P.-Y.; S.-C. Yang

  2015 National Graduate Student Research Poster Competition in Atmospheric Sciences

  

Awards

• 24 Feb. 2021

  研究発表講演会 学生優秀発表賞（京都大学防災研究所）
• 28 Feb. 2015

  National Graduate Student Research Poster Competition in Atmospheric Sciences 優

External funds: Kakenhi

• Can 4D nonlinear data-driven analysis reveal the mechanisms of heavy rainfall?

  Grant-in-Aid for Research Activity Start-up

  0204:Astronomy, earth and planetary science, and related fields

  Kyoto University

  WU PIN・YING; 呉品穎

  From 31 Jul. 2025, To 31 Mar. 2027, Granted

  豪雨メカニズム;アンサンブルシミュレーション;非線形時間発展;データ駆動型解析

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-25K23401/
• Observation of moisture structure for initiating mesoscale convective system

  Grant-in-Aid for Scientific Research (A)

  Medium-sized Section 17:Earth and planetary science and related fields

  Japan, Meteorological Research Institute

  吉田 智

  From 01 Apr. 2025, To 31 Mar. 2029, Granted

  線状降水帯;水蒸気ライダー;データ同化;減災;雷放電;大雨予測

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-25H00697/

Education

Teaching subject(s)

• From 01 Apr. 2026, To 31 Mar. 2027

  Laboratory Work in Earth & Planetary Sciences DB

  3451, Spring, Faculty of Science, 4

Academic, Social Contribution

Social Contribution

• データから読み解く気象学 ― 大規模アンサンブルによる予測と現象解明

  Lecturer

  京都大学理学共創イノベーションコンソーシアム, 第7回サイエンス講座「ビッグデータによる気象予測と植物生理の研究」, From 31 Oct. 2025

  
• サイエンス・ダイアログ～科学で世界とつながれ～

  Lecturer

  日本学術振興会・千葉県立長生高等学校, Catching the Butterfly: How Weather Forecasts Are Made and Why They Sometimes Fail, From 08 Jan. 2025