Career

1994             : Graduate Meteorological College / Japan Meteorological Agency

1994 - 1996: Tottori Local Observatory / Japan Meteorological Agency

1996 - 1998: Takamatsu Local Observatory / Japan Meteorological Agency

1998 - 2000: Osaka District Meteorological Observatory / Japan Meteorological Agency

2000 - 2008: Researcher,  Forecast Research Department / Meteorological Research Institute / Japan Meteorological Agency

2008 - 2019: Senior researcher, Forecast Research Department / MRI 

2019 - 2020: Senior researcher, Department of Observation & Data Assimilation / MRI 

2020 - present: Head of 4th Lab. Department of Observation & Data Assimilation / MRI 

23. May. 2014: Ph. D. (Science) at Kyoto University     [Thesis]

Jun. 2014 - Sep. 2015: PosDoc at Institute of Physics and Meterogology at University of Hohenheim, Stuttgart, Germany

Apr. 2016 - Visiting Associate Professor, Kobe University 

Jun. 2018 - Editor, Journal of the Meteorological Society of Japan

Apr. 2022 - Visiting Professor, Kobe University 

Sep. 2022- Chief Editor, “Special Edition on the Frontier of Atmospheric Science with High-Performance Computing” JMSJ/SOLA

Research Projects

• Grants-in-Aid for Scientific Research (FY2017-2020) Study on uncertainty of cumulonimbus initiation and development using particle filter (PI)

• Program for Promoting Researches on the Supercomputer Fugaku "Large Ensemble Atmospheric and Environment Prediction for Disaster Prevention and Mitigation 

     Theme 1 "Short-range regional prediction" (PI)

Publications(* reviewed paper)

• 2023

  • Sawada, K, N. Seino, T. Kawabata, H. Seko, 2023: Impacts of an Urban Canopy Scheme and Surface Observation Data on a Heavy Rain Event through Data Assimilation, SOLA, 19B, 1-8,  https://doi.org/10.2151/sola.19b-001

  • Kobayashi, K, L. Duc, T. Kawabata, A. Tamura, T. Oizumi, K. Saito, D. Nohara, T. Sumi, 2023: Ensemble rainfall–runoff and inundation simulations using 100 and 1000 member rainfalls by 4D LETKF on the Kumagawa River flooding 2020, PEPS, 10, https://doi.org/10.1186/s40645-023-00537-3

• 2022

  • Fujita, T., H. Seko, and T. Kawabata, 2022: Effects of Flow Dependency Introduced by Background Error in Frequent and Dense Assimilation of Radial Winds Using Observation Error Correlated in Time and Space, Mon. Wea. Rev, 150, 481–503,  https://doi.org/10.1175/MWR-D-21-0121.1

  • Maejima, T., T. Kawabata, H. Seko, T. Miyoshi, 2022: Observing System Simulation Experiments of a Rich Phased Array Weather Radar Network Covering Kyushu for the July 2020 Heavy Rainfall Event, SOLA, 18, 24-32, https://doi.org/10.2151/sola.2022-005

  • 川畑拓矢, 上野玄太, 2022: 雲解像粒子フィルタを用いた積乱雲の非ガウス性に関する研究, 統計数理 70(2) 133-151, PDF

  • Takahashi, A,. T. Sakai, T. Kawabata, S. Yoshida, N. Ueda, 2022: Balance plot for visualizing and examining tradeoff between accuracy and data quantity of lidar water vapor measurement data, Journal of Laser Radar Society of Japan,  3, 124-135, PDF

• 2021

  • Le Duc, T. Kawabata, K. Saito, T. Oizumi, 2021; Forecasts of the July 2020 Kyushu Heavy Rain Using a 1000-Member Ensemble Kalman Filter, SOLA, 17, 41-47, https://doi.org/10.2151/sola.2021-007 

• 2020

  • (*)Kawabata, T. and G. Ueno, 2020: Non-Gaussian Probability Densities of  Convection Initiation and Development Investigated Using a Particle  Filter with a Storm-Scale Numerical Weather Prediction Model. Mon. Wea.  Rev., 148, 3?20, https://doi.org/10.1175/MWR-D-18-0367.1

• 2018

  • (*)Kawabata, T., H.-S. Bauer, T. Schwitalla, V. Wulfmeyer, and A. Adachi, 2018a: Evaluation of forward operators for polarimetric radars aiming for data assimilation, J. Meteor. Soc. Japan, 96A, 157-174, doi:10.2151/jmsj.2018-017.

  • (*)Kawabata, T., T. Schwitalla, A. Adachi, H.-S. Bauer, V. Wulfmeyer, N. Nagumo, and H. Yamauchi, 2018b: Observational operators for dual polarimetric radars in variational data assimilation systems (PolRad VAR v1.0), Geosci. Model Dev., 11, 2493-2501, doi:10.5194/gmd-11-2493-2018 .

  • (*)Kawabata, T. and Y. Shoji, 2018c: Applications of GNSS Slant Path Delay Data on Meteorology at Storm Scales, InTech Open , 143-168, doi:10.5772/intechopen.75101.

• 2016

  • (*)Ito, K., M. Kunii, T. Kawabata, K. Saito, K. Aonashi and L. Duc, 2016: Mesoscale hybrid data assimilation system based on JMA nonhydrostatic model, Mon. Wea. Rev., 144, 3417-3439. DOI: http://dx.doi.org/10.1175/MWR-D-16-0014.1

• 2014

  • (*) Kawabata, T., K. Ito, and K. Saito, 2014a: Recent Progress of the NHM-4DVAR towards a Super-High Resolution Data Assimilation, SOLA, 10, 145-149, doi:10.2151/sola.2014-030.

  • (*) Kawabata, T., H. Iwai, H. Seko, Y. Shoji, K. Saito, S. Ishii, and K. Mizutani, 2014b: Cloud-Resolving 4D-Var Assimilation of Doppler Wind Lidar Data on a Meso-Gamma-Scale Convective System.,Mon. Wea. Rev., 142, 4484–4498, doi: 10.1175/MWR-D-13-00362.1.

• 2013

  • (*) Ito, K., T. Kawabata, T. Kato, Y. Honda, Y. Ishikawa, T. Awaji, 2013: Simultaneous Optimization of Air-Sea Exchange Coefficients and Initial Conditions near a Tropical Cyclone Using JNoVA. J. Meteor. Soc. Japan, 91, 337-353.

  • (*) Kawabata, T., Y. Shoji, H. Seko, and K. Saito, 2013: A numerical study on a mesoscale convective system over a subtropical island with 4D-Var assimilation of GPS slant total delays, J. Meteor. Soc. Japan, 91, 705-721. doi: http://dx.doi.org/10.2151/jmsj.2013-510

• 2012

  • (*) Kawabata, T., M. Kunii, K. Bessho, T. Nakazawa, N. Kohno, Y. Honda, K. Sawada, 2012: Reanalysis and Reforecast of Typhoon Vera (1959) Using a Mesoscale Four-Dimensional Variational Assimilation System, J. Meteor. Soc. Japan, 90, 467-491. doi: http://dx.doi.org/10.2151/jmsj.2012-403

• 2011

  • (*) Kawabata, T., T. Kuroda, H. Seko, and K. Saito, 2011: A cloud-resolving 4D-Var assimilation experiment for a local heavy rainfall event in the Tokyo metropolitan area, Mon. Wea. Rev., 139, 1911-1931. doi: http://dx.doi.org/10.1175/2011MWR3428.1

  • (*) Mikami, A., T. Kawabata, S. Satoh, J. Furumoto, S. Nagai, Y. Murayama and T. Tsuda, 2011: Meso-γ-scale convective systems observed by a 443-MHz wind-profiling radar with RASS in the Okinawa subtropical region, J. Atmos. Solar-Terrestrial Phys, 73, 996-1009.

  • Kawabata, T., Y. Shoji, H. Seko, K. Saito, 2011: An assimilation experiment of GPS-derived water vapor observations on a local heavy rainfall event, CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling, 41, 1.15-1.16.

• 2008

  • Kawabata, T., H. Seko, T. Kuroda, and K. Saito, 2008: An Assimilation Experiment of a Heavy Rainfall Event around Tokyo with a Cloud-Resolving Nonhydrostatic 4D-Var Assimilation System, CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling, 38, 1.13-1.14.

• 2007

  • (*) Kawabata, T., H. Seko, K. Saito, T. Kuroda, K. Tamiya, T. Tsuyuki, Y. Honda and Y. Wakazuki, 2007: An Assimilation and Forecasting Experiment of the Nerima Heavy Rainfall with a Cloud-Resolving Nonhydrostatic 4-Dimensional Variational Data Assimilation System, J. Meteor. Soc. Japan, 85, 255-276. doi: http://dx.doi.org/10.2151/jmsj.85.255

• 2005

  • Kawabata, T., H. Seko, T. Kuroda, Y. Wakatsuki, Y. Honda, K. Tamiya, K. Aonashi, Y. Shoji, K. Saito, and T. Tsuyuki, 2005: A cloud resolving 4D-Var data assimilation system based on the JMA non-hydrostatic model, CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling, 35, 1.21-1.22.

• 2004

  • (*) Seko, H., T. Kawabata, T. Tsuyuki, H. Nakamura, K. Koizumi and T. Iwabuchi, 2004: Impacts of GPS-derived Water Vapor and Radial Wind Measured by Doppler Radar on Numerical Prediction of Precipitation, J. Meteor. Soc. Japan, 82, 473-489.

International Presentations (oral and posters; * invited talk) 

2023

• Takuya KAWABATA, Tsutao OIZUMI, Ping-Yin Wu, Le Duc, Kazuo SAITO, The impact-based forecasting with a large-ensemble DA, The 6th International Workshop on Nonhydrostatic Models , Sapporo.

2022

• Takuya Kawabata and Genta Ueno, 2022:  On Non-Gaussianity in Cumulonimbus Prediction using a Storm-Scale Particle Filter, Mathematics of the weather (Bad Orb, Germany)

2021

• Takuya Kawabata and Genta Ueno, 2021: An Adaptive R Estimator with a Storm-Scale Particle Filter, WCRP-WWRP SYMPOSIUM ON DATA ASSIMILATION AND REANALYSIS, online.

• Takuya KAWABATA, Le Duc, Tsutao Oizumi, Kazuo Saito, 2021: Ensemble Data Assimilation and Probabilistic Forecast with 1000 Members Coupled with a Hydrological Model Using the Supercomputer “Fugaku” Aiming to the Impact-Based Forecast, WCRP-WWRP SYMPOSIUM ON DATA ASSIMILATION AND REANALYSIS, online.

2019 

• Takuya Kawabata and Genta Ueno, 2019: What is the source of chaos in MCS?, EMS2019, Copenhagen, Denmark 

• Takuya Kawabata and Genta Ueno, 2019: What is the source of chaos in MCS?, ICMCS-XII, Naha, Japan 

• Takuya Kawabata and Genta Ueno, 2019: On Non-Gaussian Probability Densities on Convection Initiation and Development using a Particle Filter with a Storm-Scale Numerical Weather Prediction Model, International Symposium on Data Assimilation 2019, Kobe, Japan

2018

• Takuya Kawabata and Genta Ueno, 2018: A Study on Non-Gaussian Probability Densities on Convection Initiation and Development using a Particle Filter with a Storm-Scale Numerical Weather Prediction Model, The 5th International Workshop on Nonhydrostatic Models,  Tokyo, Japan.

• (*)Takuya Kawabata and Genta Ueno, 2018: Non-Gaussian PDFs on Convection Initiation with a Particle Filter, The 9th Data Assimilation Workshop,  Tokyo, Japan

• Takuya Kawabata and Genta Ueno, 2018: A storm-scale particle filter for investigating predictability of convection initiation and development, Workshop on Sensitivity Analysis and Data Assimilation in Meteorology and Oceanography, Aveiro, Portugal.

• (*)Takuya Kawabata and Genta Ueno, 2018: Development of a storm-scale particle filter for investigating predictability of convection initiation and development, Japan Geoscience Union Meeting 2018, 201805, Makuhari, Chiba, Japan.

• Takuya Kawabata and Genta Ueno, 2018: Development of a storm-scale particle filter for investigating predictability of convection initiation and development, 6th International Symposium on Data Assimilation, 201803, Munich, Germany.

• (*)Takuya Kawabata, Hiroshi Yamauchi, Nobuhiro Nagumo, and Ahoro Adachi, 201802,  Development of Assimilation Methods for Dual Polarimetric Radar Data,  Workshop on Dual Polarimetric Radar, 201802, Tsukuba, Japan.

2017

• Kawabata,T., H. Yamauchi, N. Nagumo, A. Adachi, 2017: Development of assimilation methods for dual polarimetric radar data,  International Symposium on Earth-Science Challenges 2017, 2017, Kyoto, Japan.

• Kawabata T., H. Iwai, H. Seko, Y. Shoji, K. Saito, S. Ishii, and K. Mizutani, 2017: Cloud-Resolving 4D-Var Assimilation of Doppler Wind Lidar Data on a Meso-gamma Scale Convective System, RIKEN International Symposium on Data Assimilation (RISDA) 2017 / The 7th Annual Japanese Data Assimilation Workshop, 2017, Kobe, Japan.

2016

• Kawabata, T., H. Yamauchi, N. Nagumo, A. Adachi, 2016:  Development of Assimilation Methods for Polarimetric Radar Data, The 4th International Workshop on Nonhydrostatic Numerical Models, Hakone, Japan.

• (*)Kawabata, T., 2016:  Assimilation of slant total delay into a NWP model, Seminar on application of GNSS, Como, Italy.

• (*)Kawabata, T., 2016:  Overview of numerical weather prediction (NWP) and data assimilation, Seminar on application of GNSS, Como, Italy.

• Kawabata, T., T. Schwitalla, H.-S. Bauer, V. Wulfmeyer and A. Adachi, 2016:  Development of assimilation methods for polarimetric radars at storm scales, The 5th Annual International Symposium on Data Assimilation, Reading, UK.

• Kawabata, T., T. Schwitalla, H.-S. Bauer, V. Wulfmeyer and A. Adachi, 2016:  Comparison of Forward Operators for Polarimetric Radars Aiming for Data Assimilation, Third International Workshop on Tokyo Metropolitan Area Convection Study for Extreme Weather Resilient Cities (TOMACS/RDP), Tokyo, Japan.

2014

• Kawabata, T., T. Schwitalla, H.-S. Bauer, and V. Wulfmeyer, 2014,  Development of an Observation Operator for Dual Polarimetric Radar, ERAD2014, Garmisch-Partenkirchen, Germany.

• (*)Kawabata, T., Y. Shoji, H. Seko, K. Saito, 2014:  GPS Slant Total Delay Assimilation with a Storm Scale 4D-Var on an MCS Event, International Symposium on Data Assimilation, Munich, Germany.

2013

• Kawabata, T., K. Ito, K. Saito, H. Seko, Y. Shoji, H. Iwai, 2013: Data Assimilation with a cloud-resolving 4D-Var, First International Workshop on Tokyo Metropolitan Area Convection Study for Extreme Weather Resilient Cities, Tokyo, Japan.

• Kawabata, T., K. Saito, H. Iwai, Y. Shoji, H. Seko, 2013: Assimilation Experiment On A Local Heavy Rainfall Event Using Doppler Lidar Observations,  93rd American Meteorological Society Annual Meeting. (U.S.A), Austin, USA.

• Kawabata, T., H. Iwai, H. Seko, Y. Shoji, K. Saito, 2013: Impact of Doppler Lidar radial wind data assimilation to a localized heavy rainfall event,  The AICS International Workshop on Data Assimilation (Japan), Kobe, Japan.

• Kawabata,T., K. Ito, K. Saito, and Y. Honda, 2013: Development of a New Storm-Scale 4D-Var Assimilation System,  Sixth WMO Symposium on Data Assimilation, Maryland, USA.

• Kawabata,T., K. Ito, K. Saito, and Y. Honda, 2013: Development of a New Storm-Scale 4D-Var Assimilation System,  KURIMS Variability and Predictability Conference, Kyoto, Japan.

2012

• Kawabata, T., K. Saito, H. Iwai, Y. Shoji, H. Seko, 2012: Assimilation Experiment On A Local Heavy Rainfall Event Using Doppler Lidar Observations, Second International Workshop on Nonhydrostatic Numerical Models, Sendai, Japan.

• (*)Kawabata, T., K. Saito, H. Iwai, Y. Shoji, H. Seko, 2012: Cloud Resolving 4D-Var Assimilation Experiment on a Localized Heavy Rainfall Event in Tokyo using Doppler Lidar Data, International Symposium on Heavy rainfall over East Asia Observation and modeling at cloud-resolving scales, Jeju, Korea.

• Kawabata, T., K. Saito, H. Iwai, Y. Shoji, H. Seko, 2012: Assimilation experiment on a local heavy rainfall event using Doppler Lidar observations, 3rd WMO/WWRP International Symposium on Nowcasting and Very Short Range Forecasting, Brazil.

• (*) Kawabata, T., 2012: How to Use Observations to Severe Weather Forecast－Data Assimilation and Numerical Prediction－, International Symposium on Extreme Weather and Cities, Tokyo, Japan.

2011

• Kawabata, T., Y. Shoji, H. Seko, K. Saito, 2011: Assimilation experiment of the grand based GPS-drived water vapor observations on the local heavy rainfall event in Okinawa island, Makuhari, Japan.

• Kawabata, T., Y. Shoji, H. Seko, K. Saito, 2011: Impact of the assimilation of GPS slant total delay observations on a local heavy rainfall forecast, International Symposium on Earth-science Challenges, Kyoto, Japan.

• Kawabata, T., Y. Shoji, H. Seko, K. Saito, 2011: Impact of the assimilation of GPS slant total delay observations on a local heavy rainfall forecast using JMA Meso-4dvar system -Impacts on Heavy Rainfall in Japan-, The Second Asia/Oceania Meteorological Satellite Users' Conference, Tokyo, Japan.

• Kawabata, T., H. Iwai, Y. Shoji, H. Seko, K. Saito, 2011: Assimilation Experiment on a Local Heavy Rainfall Event, Meeting on the Study of Advanced Data Assimilation and Cloud Resolving Ensemble Technique for Prediction of Local Heavy Rainfall., 

2010

• Kawabata, T., T. Kuroda, Y. Shoji, H. Seko, K. Saito, 2010: Cloud-resolving 4D-Var with Radar and GPS data, The Third International Workshop on Prevention and Mitigation of Meteorological Disasters in Southeast Asia And Open Symposium on Meteorological Disasters and Adaptable Society in Asia-Pacific, Beppu, Japan.

• Kawabata, T., Y. Shoji, H. Seko, K. Saito, 2010: Assimilation experiment on Zoshigaya local heavy rainfall event, First International Workshop on Nonhydrostatic Numerical Models, Kyoto, Japan.

2009

• Kawabata, T., Y. Shoji, H. Seko and K. Saito, 2009: Cloud resolving 4DVAR experiment of a local heavy rainfall event using GPS slant delay data, The 5th WMO International Symposium on Data Assimilation, Melbourne, Australia.

• Kawabata, T., Y. Shoji, H. Seko and K. Saito, 2009: Assimilation Experiment of a Local Heavy Rainfall Event with a Cloud-Resolving 4D-Var Assimilation System, International Symposium on Radar and Modeling Studies of the Atmosphere, Kyoto, Japan.

• Kawabata, T., T. Kuroda, H. Seko K. Saito, 2009: Radar data assimilation using a cloud-resolving 4D-Var, International Symposium on Radar and Modeling Studies of the Atmosphere, Kyoto, Japan.

• (*)Kawabata, T., T. Kuroda, H. Seko, K. Saito, 2009: Cloud-Resolving Nonhydrostatic 4D-Var Assimilation System (NHM-4DVAR), ISAR-NCU-2009 International School on Atmosphere Radars, Profiling, Modelling, and Forecasting, Taoyuan, Taiwan.

• (*)Kawabata, T., Y. Shoji, H. Seko and K.Saito, 2009: Improvement of the NHM-4DVAR, ISAR-NCU-2009 International School on Atmosphere Radars, Profiling, Modelling, and Forecasting, Taoyuan, Taiwan.

• (*)Kawabata, T., M. Kunii, N. Kohno, K. Bessho, H. Kamahori, T. Nakazawa, Y. Honda, K. Sawada, 2009: Re-forecast of Typhoon Vera - Intensity and storm surge -, ISAR-NCU-2009 International School on Atmosphere Radars, Profiling, Modelling, and Forecasting, Taoyuan, Taiwan.

2008

• Kawabata, T., T. Kuroda, H. Seko, K. Saito, 2008: Development and Result of a Cloud-Resolving Nonhydrostatic 4DVAR Assimilation System (NHM-4DVAR), 6th COPS Workshop, Stuttgart, Germany.

2006

• Kawabata, T., H. Seko, T. Kuroda, K. Tamiya, K. Saito, T. Tsuyuki, 2006: Assimilation Experiment of the Heavy Convective Rainfall Event with a Cloud Resolving Nonhydrostatic 4 Dimensional Variational Data Assimilation System, European Geosciences Union General Assembly, Vienna, Austria.

2005

• Kawabata, T., K. Tamiya, T. Kuroda, K. Saito, T. Tsuyuki, 2005: Assimilation experiment for Nerima heavy rainfall using a cloud resolving non-hydro-static 4DVAR assimilation system,  Sixth International SRNWP-Workshop on Non-Hydrostatic Modelling, Bad Orb, Germany.

2004

• Kawabata, T., H. Seko, T. Kuroda, Y. Wakatsuki, Y. Honda, K. Tamiya, K. Aonashi, Y. Shoji, K. Saito, T. Tsuyuki, 2004: Development of a cloud resolving 4DVAR data assimilation system based on the JMA non-hydrostatic model, Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, ocean, Environment, and Space, Honolulu, USA.