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Nakashita, Saori
Disaster Prevention Research Institute (DPRI) Assistant Professor
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Last Updated :2026/04/10
Basic Information
Email Address
Email Address
nakashita.saori.8m
kyoto-u.ac.jp
Professional Memberships
- From Apr. 2021, To PresentMeteorological Society of Japan
- From Feb. 2021, To PresentJapan Geoscience Union
Academic Resume (Undergraduate School/Majors)
Research History
- From Nov. 2025, To PresentKyoto University, Disaster Prevention Research Institute Division of Atmospheric and Hydrospheric Disasters, Assistant professor
- From Apr. 2025, To Oct. 2025Kyoto University, Disaster Prevention Research Institute Division of Atmospheric and Hydrospheric Disasters, Specially-appointed Assistant Professor
ID,URL
ORCID ID
J-Global ID
Researcher number
51022131
researchmap URL
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Last Updated :2026/04/10
Research
Research Interests
Research Areas
- Natural sciences, Atmospheric and hydrospheric science
- Natural sciences, Applied mathematics and statistics
Papers
- Ensemble sensitivity analysis as a linear regressionNakashita, Saori; Enomoto, TakeshiDPRI Annuals, Dec. 2025, Lead author
- Evaluation of data assimilation methods suitable for frontal structuresSaori Nakashita; Takeshi Enomoto14 Mar. 2026
- Machine learning sea-surface temperature forecasting based on empirical orthogonal functionsTakeshi Enomoto; Aki Saito; Saori Nakashita14 Mar. 2026
- Applicability of Ensemble Singular Vectors to a Mesoscale Convective System Over the East China SeaSaori Nakashita; Takeshi EnomotoGeophysical Research Letters, 16 Jun. 2025, Peer-reviewed, Lead author, Corresponding author
- Flow-dependent large-scale blending for limited-area ensemble assimilationSaori Nakashita; Takeshi Enomoto15 Mar. 2025
- Flow-Dependent Large-Scale Blending for Limited-Area Ensemble Data AssimilationSaori Nakashita; Takeshi EnomotoTellus A: Dynamic Meteorology and Oceanography, 28 Feb. 2025, Peer-reviewed, Lead author, Corresponding author
- Flow-dependent large-scale blending for limited-area ensemble data assimilationSaori Nakashita; Takeshi EnomotoDPRI Annuals, Dec. 2024, Lead author
- Application of Exact Newton Optimisation to the Maximum Likelihood Ensemble FilterTakeshi Enomoto; Saori NakashitaTellus A: Dynamic Meteorology and Oceanography, 22 Apr. 2024, Peer-reviewed
- Multi-scale Uncertainty of Mesoscale Convective Systems in the Baiu Frontal Zone: A Case Study from June 2022Saori NAKASHITA; Takeshi ENOMOTO; Satoshi ISHIIJournal of the Meteorological Society of Japan. Ser. II, 2024, Peer-reviewed, Lead author, Corresponding author
- Ensemble forecast experiments of a meso-scale cyclone in the Baiu frontal zoneTakeshi Enomoto; Saori Nakashita; Satoshi IshiiDPRI Annuals, Dec. 2023
- Comparison of growing modes for extratropical and tropical disturbancesSaori Nakashita; Takeshi EnomotoDPRI Annuals, Dec. 2023, Lead author
- Deterministic ensemble data assimilation for a quasi-geostrophic modelTakeshi Enomoto; Saori NakashitaDPRI Annuals, Dec. 2022
- Influence of the sea surface temperature and initial perturbations on the track forecast of Typhoon Hagibis (2019)Saori Nakashita; Takeshi Enomoto; Yukihiro Kuroki; Masashi Ujiie; Kazuto TakemuraDPRI Annuals, Dec. 2022, Lead author
- Assimilation of nonlinear observations using the maximum likelihood ensemble filterSaori Nakashita; Takeshi EnomotoDPRI Annuals, Dec. 2021, Lead author
- Factors for an Abrupt Increase in Track Forecast Error of Typhoon Hagibis (2019)Saori Nakashita; Takeshi EnomotoSOLA, 2021, Peer-reviewed, Lead author, Corresponding author
- Factors for an abrupt increase in track forecast error of Hagibis 2019Saori Nakashita; Takeshi EnomotoDPRI Annuals, Dec. 2020, Lead author
Presentations
- Applicability of ensemble singular vectors to mesoscale convective systems: Case study in the East China SeaNakashita, Saori; Enomoto, TakeshiThe 7th International Workshop on Nonhydrostatic Models, 17 Nov. 2025
- 梅雨前線帯のメソ対流系に対するアンサンブル特異ベクトルの適用可能性中下早織; 榎本剛日本気象学会2025年度秋季大会, 07 Nov. 2025
- Applicability of ensemble singular vectors to mesoscale error growth: insights from predictability of a mesoscale convective systemNakashita, Saori; Enomoto, Takeshi11th International Symposium on Data Assimilation, 30 Sep. 2025
- Flow-dependent large-scale blending for limited-area ensemble data assimilationNakashita, Saori; Enomoto, TakeshiInternational Workshop "Mid-latitude Atmosphere-Ocean-Ecosystem Interactions: Processes, Predictability, and Habitability", 18 Jul. 2025
- Flow-dependent large-scale blending for limited-area ensemble data assimilationSaori Nakashita; Takeshi Enomoto"Data Assimilation Methodology", International Symposium on Data Assimilation - Online, 13 Mar. 2025
- Flow-dependent large-scale blending for limited-area ensemble assimilationSaori Nakashita; Takeshi EnomotoEGU General Assembly 2025, 28 Apr. 2025
- Applicability of ensemble singular vectors to a mesoscale convective system over the East China SeaSaori Nakashita; Takeshi EnomotoWorkshop on Ocean and Atmosphere Simulations, 28 Mar. 2025
- Flow-dependent large-scale blending for limited-area ensemble data assimilation中下早織; 榎本剛第15回データ同化ワークショップ, 28 Feb. 2025
- Flow-dependent large-scale blending for limited-area ensemble data assimilationSaori Nakashita; Takeshi EnomotoSecond IMT-Atlantique & Kyoto University & RIKEN joint Data Assimilation workshop, 29 Oct. 2024
- Introduction of global error covariance to nested ensemble variational assimilationSaori Nakashita; Takeshi EnomotoAOGS2024 21st annual meeting, 26 Jun. 2024
- Introduction of global error covariance to nested ensemble variational assimilationSaori Nakashita; Takeshi EnomotoJpGU Meeting 2024, 30 May 2024
- Introduction of global error covariance to nested ensemble variational assimilationSaori Nakashita; Takeshi Enomoto12th Workshop on Sensitivity Analysis and Data Assimilation, 21 May 2024
- 2022年6月19日の東シナ海集中観測の領域アンサンブル同化実験中下早織; 榎本剛日本気象学会2023年度秋季大会, 25 Oct. 2023
- Observation-space localization methods for the maximum likelihood ensemble filterSaori Nakashita; Takeshi Enomoto9th International Symposium on Data Assimilation, 19 Oct. 2023
- Ensemble simulations of a mesoscale convective system over East China Sea on 19 June 2022Saori Nakashita; Takeshi Enomoto; Satoshi IshiiThe 6th International Workshop on Nonhydrostatic Models, 01 Sep. 2023
- Mesoscale ensemble assimilation of dense upper observations from three research vesselsSaori Nakashita; Takeshi Enomoto14th Data assimilation workshop, 30 Aug. 2023
- Observation space localizations for the maximum likelihood ensemble filterSaori Nakashita; Takeshi EnomotoEGU General Assembly 2023, 25 Apr. 2023
- 最尤法アンサンブルフィルタに対する観測空間局所化の導入中下早織; 榎本剛日本気象学会2022年度秋季大会, 26 Oct. 2022
- Maximum likelihood ensemble filter with efficient observation space localizationSaori Nakashita; Takeshi EnomotoJpGU Meeting 2022, 26 May 2022, Invited
- 気象庁GSMを用いた2019年台風第19号の再予報実験中下早織; 榎本剛; 竹村和人日本気象学会2021年度秋季大会, 06 Dec. 2021
- Assimilation of nonlinear observations with the maximum likelihood ensemble filterSaori Nakashita; Takeshi EnomotoJoint WCRP-WWRP Symposium on Data Assimilation and Reanalysis, 13 Sep. 2021
- Assimilation of nonlinear observations with the maximum likelihood ensemble filterSaori Nakashita; Takeshi EnomotoEGU General Assembly 2021, 27 Apr. 2021
- 最尤法アンサンブルフィルタによる非線形観測同化中下早織; 榎本剛第34回数値流体シンポジウム, 21 Dec. 2020
- 2019年台風第19号の進路予報誤差の要因に対する解析中下早織; 榎本剛日本気象学会2020年度秋季大会, 28 Oct. 2020
Awards
- 22 Feb. 2024令和5年度研究発表講演会 優秀発表賞（京都大学）
- 18 Mar. 2022新学術領域研究「変わりゆく気候系における中緯度大気海洋相互作用hotspot」第3回領域全体会議 若手発表賞
