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Kondo Keiichi  近藤 圭一

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… Alternative Names

近藤 圭一  コンドウ ケイイチ

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Researcher Number 00735558
Other IDs
Affiliation (Current) 2025: 気象庁気象研究所, 気象観測研究部, 主任研究官
Affiliation (based on the past Project Information) *help 2025: 気象庁気象研究所, 気象観測研究部, 主任研究官
2021 – 2023: 気象庁気象研究所, 気象観測研究部, 併任(第三研究室)
2019: 気象庁気象研究所, 気象観測研究部, 研究官
2017 – 2018: 気象庁気象研究所, 環境・応用気象研究部, 研究官
2016: 国立研究開発法人理化学研究所, 計算科学研究機構, 特別研究員
Review Section/Research Field
Principal Investigator
Basic Section 17020:Atmospheric and hydrospheric sciences-related / Meteorology/Physical oceanography/Hydrology
Except Principal Investigator
Medium-sized Section 22:Civil engineering and related fields
Keywords
Principal Investigator
粒子フィルタ / アンサンブルカルマンフィルタ / データ同化 / 観測インパクト / 観測誤差 / 外れ値 / ハイブリッド / 地表面温度 / 地表面射出率 / 非ガウス分布 … More / 統計数理 / 計算科学 / 気象学 / 鉛直誤差相関 / 鉛直局所化 / 衛星観測 / マルチスケール / マルチスケールデータ同化手法 / 非正規性 / マルチスケール同化 / 数値予報 / 気象予報 … More
Except Principal Investigator
アニーリング / 深層学習 / 量子計算 / AI天気予報 / データ同化 Less
  • Research Projects

    (3 results)
  • Research Products

    (40 results)
  • Co-Researchers

    (6 People)
  •  Transforming Weather Prediction with Deep Learning and Quantum Computing

    • Principal Investigator
      小槻 峻司
    • Project Period (FY)
      2025 – 2029
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 22:Civil engineering and related fields
    • Research Institution
      Chiba University
  •  Hybrid data assimilation methods with a particle filter for forecasts of extreme weather eventsPrincipal Investigator

    • Principal Investigator
      近藤 圭一
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 17020:Atmospheric and hydrospheric sciences-related
    • Research Institution
      Japan, Meteorological Research Institute
  •  Development of a multi-scale data assimilation method based on huge ensemble data assimilationPrincipal Investigator

    • Principal Investigator
      Kondo Keiichi
    • Project Period (FY)
      2016 – 2019
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Meteorology/Physical oceanography/Hydrology
    • Research Institution
      Japan, Meteorological Research Institute
      Institute of Physical and Chemical Research

All 2023 2022 2021 2020 2019 2018 2017 2016

All Journal Article Presentation

  • [Journal Article] Applying the Particle Filter to the Volcanic Ash Tracking PUFF Model for Assimilating Multi-Parameter Radar Observation2022

    • Author(s)
      Tanaka Hiroshi L., Nakamichi Haruhisa, Kondo Keiichi, Akami Shoichi, Iguchi Masato
    • Journal Title

      Journal of Disaster Research

      Volume: 17 Issue: 5 Pages: 791-804

    • DOI

      10.20965/jdr.2022.p0791

    • ISSN
      1881-2473, 1883-8030
    • Year and Date
      2022-08-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K13995, KAKENHI-PROJECT-18K03781
  • [Journal Article] A local particle filter and its Gaussian mixture extension implemented with minor modifications to the LETKF2022

    • Author(s)
      Kotsuki Shunji、Miyoshi Takemasa、Kondo Keiichi、Potthast Roland
    • Journal Title

      Geoscientific Model Development

      Volume: 15 Issue: 22 Pages: 8325-8348

    • DOI

      10.5194/gmd-15-8325-2022

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K13995
  • [Journal Article] Reduced non-Gaussianity by 30 s rapid update in convective-scale numerical weather prediction2021

    • Author(s)
      Ruiz Juan、Lien Guo-Yuan、Kondo Keiichi、Otsuka Shigenori、Miyoshi Takemasa
    • Journal Title

      Nonlinear Processes in Geophysics

      Volume: 28 Issue: 4 Pages: 615-626

    • DOI

      10.5194/npg-28-615-2021

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17807, KAKENHI-PROJECT-21K13995
  • [Journal Article] Non-Gaussian statistics in global atmospheric dynamics: a study with a 10 240-member ensemble Kalman filter using an intermediate atmospheric general circulation model2019

    • Author(s)
      Kondo Keiichi、Miyoshi Takemasa
    • Journal Title

      Nonlinear Processes in Geophysics

      Volume: 26 Issue: 3 Pages: 211-225

    • DOI

      10.5194/npg-26-211-2019

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17H02962, KAKENHI-PROJECT-16K17806
  • [Journal Article] Choosing the Optimal Numerical Precision for Data Assimilation in the Presence of Model Error2018

    • Author(s)
      Hatfield Sam、Duben Peter、Chantry Matthew、Kondo Keiichi、Miyoshi Takemasa、Palmer Tim
    • Journal Title

      Journal of Advances in Modeling Earth Systems

      Volume: 10 Issue: 9 Pages: 2177-2191

    • DOI

      10.1029/2018ms001341

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Journal Article] Impact of Removing Covariance Localization in an Ensemble Kalman Filter: Experiments with 10 240 Members Using an Intermediate AGCM2016

    • Author(s)
      Keiichi Kondo, Takemasa Miyoshi
    • Journal Title

      Monthly Weather Review

      Volume: 144 Issue: 12 Pages: 4849-4865

    • DOI

      10.1175/mwr-d-15-0388.1

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] 気象庁全球数値予報システムを用いた陸域マイクロ波輝度温度同化における地表面射出率と地表面温度の同時推定手法2023

    • Author(s)
      近藤圭一、藤井秀幸、岡本幸三、入口武史、青梨和正
    • Organizer
      日本気象学会2023年度秋季大会
    • Data Source
      KAKENHI-PROJECT-21K13995
  • [Presentation] 気象庁全球数値予報システムにおけるひまわり10号の観測データインパクト2023

    • Author(s)
      近藤圭一、大和田浩美、石橋 俊之、岡本幸三
    • Organizer
      日本気象学会2023年度秋季大会
    • Data Source
      KAKENHI-PROJECT-21K13995
  • [Presentation] 陸上でのマイクロ波センサの利用検討~気象庁全球解析システムへのDynamic emissivity導入の影響評価~2022

    • Author(s)
      近藤圭一,藤井秀幸,岡本幸三,入口武史,青梨和正
    • Organizer
      JAXA-気象研 衛星データ利用促進分科会 合同セミナー
    • Data Source
      KAKENHI-PROJECT-21K13995
  • [Presentation] Impact of microwave radiance assimilation over land using dynamic emissivity in the global NWP system of JMA2022

    • Author(s)
      Keiichi Kondo, Kozo Okamoto, Takeshi Iriguchi, Hideyuki Fujii, Hiroyuki Shimizu, Kazumasa Aonashi
    • Organizer
      EUMETSAT Meteorological Satellite Conference 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K13995
  • [Presentation] 気象庁全球数値予報システムにおけるFSOIを用いた観測データのインパクト2022

    • Author(s)
      近藤圭一、石橋俊之
    • Organizer
      日本気象学会2023年度秋季大会
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K13995
  • [Presentation] 背景誤差の非ガウス性定量化による非ガウスデータ同化手法2021

    • Author(s)
      近藤圭一,三好建正
    • Organizer
      日本気象学会2021年度春季大会
    • Data Source
      KAKENHI-PROJECT-21K13995
  • [Presentation] 陸域マイクロ波輝度温度同化における地表面射出率と地表面温度の推定についての調査2021

    • Author(s)
      近藤圭一,岡本幸三,入口武史,藤井秀幸,清水宏幸,青梨和正
    • Organizer
      日本気象学会2021年度秋季大会
    • Data Source
      KAKENHI-PROJECT-21K13995
  • [Presentation] Impact of microwave radiance assimilation over land using dynamic emissivity in the global NWP system of JMA2021

    • Author(s)
      Keiichi Kondo, Kozo Okamoto, Takeshi Iriguchi, Hideyuki Fujii, Hiroyuki Shimizu, Kazumasa Aonashi
    • Organizer
      23rd International TOVS Study Conferences
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K13995
  • [Presentation] Local Particle Filter Implemented with Minor Modifications to the LETKF Code2020

    • Author(s)
      T. Miyoshi, S. Kotsuki, K. Kondo, R. Potthast
    • Organizer
      米国気象学会年次会合
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] モデルが不完全な場合における背景誤差相関について2019

    • Author(s)
      近藤圭一
    • Organizer
      日本気象学会2019年度春季大会
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Non-Gaussian statistics in global atmospheric dynamics with a 10240-member ensemble Kalman filter experiment using an intermediate AGCM2019

    • Author(s)
      Kondo, K., T. Miyoshi
    • Organizer
      米国地球物理学連合秋季大会(AGU 2019 Fall meeting)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Local Particle Filter Implemented with Minor Modifications to the LETKF Code2019

    • Author(s)
      T. Miyoshi, S. Kotsuki, K. Kondo, R. Potthast
    • Organizer
      米国地球物理学連合秋季大会(AGU 2019 Fall meeting)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] 背景誤差の非ガウス分布を考慮したアンサンブル同化手法2019

    • Author(s)
      近藤圭一、三好建正
    • Organizer
      日本気象学会2019年度秋季大会
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] 誤差分布の非ガウス性を考慮したデータ同化手法2018

    • Author(s)
      近藤圭一、三好建正
    • Organizer
      日本気象学会2018秋季大会
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Large ensemble based data assimilation with MASINGAR-mk22018

    • Author(s)
      Keiichi KONDO, Taichu Y. TANAKA, Tsuyoshi T. SEKIYAMA, Keiya YUMIMOTO, Takashi MAKI
    • Organizer
      エーロゾル予測のための国際協力(ICAP)第10回ワーキンググループ会合
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] A large ensemble based data assimilation experiment with a global aerosol transport model2018

    • Author(s)
      Keiichi KONDO, Taichu Y. TANAKA, Tsuyoshi T. SEKIYAMA, Keiya YUMIMOTO, Takashi MAKI
    • Organizer
      14th iCACGP Quadrennial Symposium/15th IGAC Science Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] A large ensemble based data assimilation experiment with the coupled global atmosphere and aerosol transport models2018

    • Author(s)
      Keiichi KONDO, Taichu Y. TANAKA, Tsuyoshi T. SEKIYAMA, Keiya YUMIMOTO, Takashi MAKI
    • Organizer
      2018 American Geophysical Union Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Assimilating satellite radiances without vertical localization using the Local Ensemble Transform Kalman Filter with up to 1280 ensemble members2017

    • Author(s)
      Keiichi Kondo, Koji Terasaki and Takemasa Miyoshi
    • Organizer
      7th AICS international symposium
    • Place of Presentation
      神戸大学(兵庫県神戸市)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] アンサンブルデータ同化における鉛直誤差相関の調査2017

    • Author(s)
      近藤圭一、寺崎康児、三好建正
    • Organizer
      日本気象学会春季大会
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] NICAM-LETKFを用いたマルチスケールデータ同化2017

    • Author(s)
      近藤圭一、三好建正
    • Organizer
      日本気象学会春季大会
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Exploring localization for multiscale dynamics and satellite radiances: experiments with real observations using the global nonhydrostatic atmospheric model NICAM2017

    • Author(s)
      Keiichi Kondo and Takemasa Miyoshi
    • Organizer
      WMO Symposium on Data Assimilation
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Assimilating satellite radiances without vertical localization using the Local Ensemble Transform Kalman Filter with up to 1280 ensemble members2017

    • Author(s)
      Keiichi Kondo, Koji Terasaki and Takemasa Miyoshi
    • Organizer
      Japan Geoscience Union Meeting 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Non-Gaussianity in the atmospheric dynamics revealed with a 10240-member ensemble Kalman filter2017

    • Author(s)
      Keiichi Kondo and Takemasa Miyoshi
    • Organizer
      WMO Symposium on Data Assimilation
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Multi-scale localization with NICAM-LETKF using real observations2017

    • Author(s)
      Keiichi Kondo and Takemasa Miyoshi
    • Organizer
      Japan Geoscience Union Meeting 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] 大規模アンサンブルデータ同化実験に基づいた大気の非ガウス性とその影響2017

    • Author(s)
      近藤圭一,三好建正
    • Organizer
      第6回 理研・京大合同データ同化研究会
    • Place of Presentation
      理研計算科学研究機構(兵庫県神戸市)
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Assimilating satellite radiances without vertical localization using the Local Ensemble Transform Kalman Filter with up to 1280 ensemble members2017

    • Author(s)
      Keiichi Kondo, Koji Terasaki and Takemasa Miyoshi
    • Organizer
      American Meteorological Society Annual Meeting
    • Place of Presentation
      Seattle (USA)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Assimilating satellite radiances without vertical localization using the Local Ensemble Transform Kalman Filter with up to 1280 ensemble members2017

    • Author(s)
      Keiichi Kondo, Koji Terasaki and Takemasa Miyoshi
    • Organizer
      European Geosciences Union General Assembly 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Assimilating satellite radiances without vertical localization using the Local Ensemble Transform Kalman Filter with up to 1280 ensemble members2017

    • Author(s)
      Keiichi Kondo, Koji Terasaki and Takemasa Miyoshi
    • Organizer
      RIKEN International Symposium on Data Assimilation
    • Place of Presentation
      理研計算科学研究機構(兵庫県神戸市)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] NICAM-LETKFを用いたDual localization法の検証2017

    • Author(s)
      近藤圭一、三好建正
    • Organizer
      日本気象学会秋季大会
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Non-Gaussian statistics and data assimilation in the global atmospheric dynamics with 10240-member ensemble Kalman filter2016

    • Author(s)
      Keiichi Kondo, Takemasa Miyosh
    • Organizer
      THE 5TH ANNUAL INTERNATIONAL SYMPOSIUM ON DATA ASSIMILATION
    • Place of Presentation
      University of Reading (UK)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] 10240メンバーアンサンブルデータ同化 による局所化の解析誤差への影響2016

    • Author(s)
      近藤圭一,三好建正
    • Organizer
      日本気象学会2016年度秋季大会
    • Place of Presentation
      名古屋大学(愛知県名古屋市)
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Non-Gaussian statistics and data assimilation in the global atmospheric dynamics with 10240-member ensemble Kalman filter2016

    • Author(s)
      Keiichi Kondo, Takemasa Miyosh
    • Organizer
      The 7th EnKF Data Assimilation Workshop
    • Place of Presentation
      Pennsylvania (USA)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] Non-Gaussian statistics and data assimilation in the global atmospheric dynamics with 10240-member ensemble Kalman filter2016

    • Author(s)
      Keiichi Kondo, Takemasa Miyoshi
    • Organizer
      Japan Geoscience Union Meeting 2016
    • Place of Presentation
      幕張メッセ(千葉県千葉市)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17806
  • [Presentation] 10240メンバーのアンサンブルデータ同化実験に基づいた大気の非ガウス性の調査2016

    • Author(s)
      近藤圭一,三好建正
    • Organizer
      日本気象学会2016年度春季大会
    • Place of Presentation
      国立オリンピック記念青少年総合センター(東京都渋谷区)
    • Data Source
      KAKENHI-PROJECT-16K17806
  • 1.  小槻 峻司 (90729229)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 2.  計良 宥志 (00887705)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  岡崎 淳史 (10790842)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  西澤 誠也 (40447892)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  徳田 慶太 (50762176)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  大塚 成徳
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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