Education:

• Mar., 2016: PhD in Engineering, Department of Civil Engineering, Graduate School of Engineering, The University of Tokyo
• Mar., 2012: MSc in Engineering, Department of Civil Engineering, Graduate School of Engineering, The University of Tokyo
• Mar., 2009: BSc in Engineering, Department of Civil Engineering and Architecture, School of Engineering, Tohoku University

Appointments:

• Oct., 2023-: Associate Professor, Center for Environmental Remote Sensing, Chiba University
• Jun., 2026-: Research Fellow, Institute of Industrial Science, The University of Tokyo
• Jun., 2016-May 2026: Collaborative Researcher, Institute of Industrial Science, The University of Tokyo
• Oct., 2023-Sep., 2026: Associate Professor, Institute for Advanced Academic Research, Chiba University
• Mar., 2021-Sep., 2023: Assistant Professor (PI, Tenured), Hirosaki University
• Jun., 2019-Sep., 2023: Visiting Researcher, RIKEN Center for Computational Science
• Jun., 2019-Feb., 2021: Postdoctoral Scholar, Department of Meteorology and Atmospheric Science, Pennsylvania State University
• Apr., 2018-May., 2019: Special Postdoctoral Researcher, RIKEN Center for Computational Science
• Apr,, 2016-Mar., 2018: Postdoctoral Researcher, RIKEN Advanced Institute for Computational Science
• Apr., 2015-Mar., 2016: Research Assistant, Atmosphere and Ocean Research Institute, The University of Tokyo
• Apr., 2013-Mar., 2015: Research Fellow (DC2), Japan Society for Promotion of Science

Achievements:

Publications with reviews

“†” indicates my advisee’s work

Submitted/In revision

1. Birkel, C., Miller, J., Turk, H., Vystavna, Y., Soulsby, C., Warter, M. M., Tetzlaff, D., Durán-Quesada, A. M., Yoshimura, K., Bong, H., Okazaki, A., Yang, Y., Pesántez, J., Sánchez‐Murillo, R., Watson, A., Diagnosing Spatial Climate Model Uncertainty using Water Isotope Tracers, submitted to communications earth & environment
2. Kawasaki, F., ^†Kurosawa, K., Okazaki, A., Kotsuki, S., Ensemble Forecast Updates without Model Re-integration Based on Ultra-rapid Data Assimilation: Idealized Experiments with a Heavy Rainfall Case, submitted to SOLA
3. Cheng, J., Cauquoin, A., Okazaki, A., Truax, O., Sinha, A., Li, H., Li, S., Xoplaki, E., Yoshimura, K., A global dataset of climate and hydroclimate reconstructions over the Common Era, submitted to Scientific Data
4. ^†Suzumura, T., Oda, M., Okazaki, A., Methodology for Research on Old Diaries as Climate Proxies: Bridging Hydrology and History, submitted to Journal of Japan Society of Hydrology and Water Resources, Technical Note)
5. ^†Kurosawa, K., Okazaki, A., Kawasaki, F., Yasunaga, K., Hamada, A., Kotsuki, S., Ensemble Predictions Enable Robust and Effective Intervention Design Under Forecast Uncertainty in Realistic Weather Scenarios, submitted to npj Climate and Atmospheric Science
6. Kawasaki, F., Okazaki, A., Kurosawa, K., Kotsuki, S., Exploring Ultra Rapid Data Assimilation Based on Ensemble Transform Kalman Filter with the Lorenz 96 Model, submitted to QJRMS arXiv
7. Hamamoto, S., Iizuka, Y., Aizawa, T., Kawakami, K., Matsumoto, M., Matoba, S., Bong, H., Yoshimura, K., Okazaki, A., Uemura, R., Isotope-based Ice Core Age Scale Demonstrating Multi-Month Climate Variability Over the Past 150 Years in SE-Dome Greenland. submitted to CP EGUsphere

Published/In print

1. Accepted ^†Ohtaki, H., Kurosawa, K., Okazaki, A., Optimization of Control Sites in Weather Control based on Ensemble Sensitivity -A Case Study with Lorenz-96 Model-, JJSCE, 2027.
2. Accepted ^†Manabe, S., Okazaki, A., A Historical Weather Reconstruction Method Using Subjective Qualitative Descriptions in Diaries, JJSCE, 2027.
3. Accepted Li, Y., Okazaki, A., Nitta, T., Cauquoin, A., Spatially adaptive neighboring information improves constraints on local temperature projections, npj Climate and Atmospheric Science, 2026.
4. Accepted Takeda, Y., Watanabe, S., Utsumi, N., Itsumi, Y., Okazaki, A., Exploring the Utility of a Large-Ensemble Climate Projection Database for Projecting Meteorological Drought Risk in Small Island Regions, J. Japan Soc. Hydrol. and Water Resour., Vol. 39, No.4, pp. 1-10, 2026. (in Japanese)
5. Accepted Takeshima, A., Shiraishi, K., Okazaki, A., Tsuyuki, T., Kotsuki, S., Bridging Artificial Intelligence and Data Assimilation: The First Data-driven Ensemble Forecasting System ClimaX-LETKF, Atmospheric Science Letters, 2026. arXiv
6. Shiraishi, K., Muto, Y., Okazaki, A., Kotsuki, S., Wasserstein GAN-based precipitation downscaling with optimal transport for enhancing perceptual realism, Prog Earth Planet Sci 13, 29, 2026. arXiv PEPS
7. Zhang, Z., Susuki, Y., and Okazaki, A., Extracting transient Koopman modes from short-term weather simulations with sparsity-promoting dynamic mode decomposition, NOLTA, IEICE, 17, 3, 1333-1361, 2026. IEICE
8. Higuchi, Y., Nagai, R., Bai, Y., Okazaki, A., Wakamiya, N., Ogura, M., Development and Evaluation of a Black-Box Optimization Framework for Weather-Intervention Design, Journal of Computational Science, 97, 102850, https://doi.org/10.1016/j.jocs.2026.102850, 2026. JCS
9. Li, Y., Cauquoin, A., Okazaki, A., Yoshimura, K., Improved response of δ¹⁸Osw in the Pacific Ocean to atmosphere-ocean interaction and ENSO using the isotope-enabled Fully Coupled Model MIROC6-iso, Journal of Advances in Modeling Earth Systems, 18, e2025MS005082, 2026. JAMES Press
10. Miyazawa, K., Kurosawa, K., Shiraishi, K., Okazaki, A., Kotsuki, S., Prediction of precipitation using SWIN-Unet and meso-scale NWP analytical data, Journal of Japan Society of Civil Engineers, 82, 16, 25-16001, https://doi.org/10.2208/jscejj.25-16001, 2026. (in Japanese) JJSCE
11. Okazaki, A., Watanabe, S., Yamada, M., Abe, S., Kotsuki, S., Ikeuchi, K., Potential of super-resolution for flood impact assessment of climate change, Journal of Japan Society of Civil Engineers, 82, 16, 25-16127, https://doi.org/10.2208/jscejj.25-16127, 2026. (in Japanese) JJSCE
12. Bong, H., LeGrande, A.N., Dee, S., Zhu, J., Cauquoin, A., Fiorella, R.P., Ding, Q., Dutrievoz, N., Tanoue, M., Frazer, M., Sarkar, M., Agosta, C., Yoshimura, K., Werner, M., Okazaki, A., Risi, C., Steen-Larsen, H.C., Casado, M., Wahl, S., Nusbaumer, J., Worden, J., Good, S., Bailey, A., Schneider, M., Noël, S., Mandal, S., Bowman, K., Li, Y., and Schmidt, G.A., Water Isotope Model Intercomparison Project (WisoMIP): Present-day Climate, JGR-Atmos, e2025JD044985, 2026. ESSOA JGR-A Press
13. Mitsui, T., Kotsuki, S., Fujiwara, N., Okazaki, A., Tokuda, K., Bottom-up approach for mitigating extreme events under limited intervention options: a case study with Lorenz 96, Nonlin. Processes Geophys., 32, 457–469, https://doi.org/10.5194/npg-32-457-2025, 2025. EGUsphere NPG
14. Okazaki, A., Carrio, D., Dalaiden, Q., Harrison-Lofthouse, J., Kotsuki, S., Yoshimura, K., Observation error estimation in climate proxies with data assimilation and innovation statistics, Clim. Past, 21, 1801–1819, https://doi.org/10.5194/cp-21-1801-2025, 2025. EGUsphere CP
15. Cheng, J., Cauquoin, A., Yang, Y., Okazaki, A., and Yoshimura, K., Contrasting Impacts of ENSO Evolution on the Interannual Variation of Precipitation Isotopes over the Tibetan Plateau, Journal of Geophysical Research: Atmospheres, 130, e2025JD0435842025, 2025. JGR-A
16. Kotsuki, S., Shiraishi, K., Okazaki, A., Ensemble data assimilation to diagnose AI-based weather prediction model: A case with ClimaX version 0.3.1., Geosci. Model Dev., 18, 7215–7225, 2025. EGUsphere GMD
17. ^†Kurosawa, K., Okazaki, A., Kawasaki, F., Kotsuki, K., Bridging Data Assimilation and Control: Ensemble Model Predictive Control for High-Dimensional Nonlinear Systems, Nonlin. Processes Geophys., 32, 293–307, 2025. EGUsphere NPG
18. Kino, K., Okazaki, A., Bong, H., Yoshimura, K., Assessing synoptic-scale variability in isotope-enabled climate models: challenges for water vapor isotopes over the Southern Ocean, Hydrological Research Letters, 19, 2, 112-119, https://doi.org/10.3178/hrl.24-00034, 2025. HRL
19. Otsuka, T., Okazaki, A., Masaki, O., Kotsuki, S., Convex Optimization of Initial Perturbations toward Quantitative Weather Control, SOLA, 21, 158-166, https://doi.org/10.2151/sola.2025-020, 2025. arXiv SOLA
20. Ishidoya, S., Sugawara, S., Okazaki. A., First detection of variations in present day’s delta-18O of atmospheric O2 and its application to evaluate changes in oxygen, carbon, and water cycles., Atmos. Chem. Phys., 25, 1965–1987, https://doi.org/10.5194/acp-25-1965-2025, 2025. ACP Press
21. Cauquoin, A., Gusyev, M., Bong, H., Okazaki, A., Yoshimura, K., Modeling tritium release to the atmosphere during the Fukushima Daiichi Nuclear Power Plant accident and application to estimating post-accident water system transit times. Environ. Sci. Pollut. Res., https://doi.org/10.1007/s11356-025-35919-1, 2025. ESPR
22. Inuki, K., Kaneko, R., Okazaki, A., Kotsuki, S., Reconstructing Rankine Vortices from Doppler wind data using deep-learning-based generative models, Journal of Japan Society of Civil Engineers, 82, 16, 24-16185, https://doi.org/10.2208/jscejj.24-16185, 2025. (in Japanese) JJJSCE
23. Morita, M., Kajita, H., Okazaki, A., Ueda, N., Umeda, K., Yamaoka, K., Uchida, E., Kawahata, H., Evaluation of Bicarbonate Flux through Groundwater and River Water at the Western Foothill of Mt. Chokai, Geochemical Journal, 58, 6, 267-275, 2024. GJ
24. Ketsuka, R., Muto, Y., Okazaki, A., Kotsuki, S., Optimizing investment policies for flood disaster in a mathematical model with reinforcement learning, Artificial Intelligence and Data Science, 5, 3, 186-193, https://doi.org/10.11532/jsceiii.5.3_186, 2024. (in Japanese) JSCEIII
25. Kino, K., Cauquoin, A., Okazaki. A., Oki, T. and Yoshimura, K., Heavy Water Isotope Precipitation in Inland East Antarctica Accompanied by Strong Southern Westerly Winds during the Last Glacial Maximum, Geophys. Res. Let., 2024. GRL
26. Cauquoin, A., Fourre, E., Landais, A., Okazaki, A., Yoshimura, K., Modeling natural tritium in precipitation and its dependence on decadal variations of solar activity using the atmospheric general circulation model MIROC5-iso, JGR-Atmos, 2024. JGR-A
27. Bong, H., Cauquoin, A., Okazaki, A., Chang, E.-C., Werner, M., Wei, Z., Yeo, N., and Yoshimura, K., Process-based inter-comparison of water isotope-enabled models and reanalysis nudging effects, JGR-Atmos, 129, e2023JD038719, 2024. JGR-A
28. Li. Y., Cauquoin, A., Okazaki. A., and Yoshimura, K., Development of the isotope version of the fully coupled climate model MIROC6-iso, Journal of Japan Society of Civil Engineers,12, 2, 23-16035, 2024. JJSCE
29. Shoji, S., Okazaki, A., Yoshimura, K., Impact of proxies and prior estimates on data assimilation using isotope ratios for the climate reconstruction of the last millennium, Earth and Space Science, 9, e2020EA001618, 2022. ESS
30. Zhang, Y., Sieron, S. B., Lu, Y., Chen, X., Nystrom, R. G., Minamide, M., Chan, M.-Y., Hartman, C. M., Yao, Z., Ruppert J. H., Okazaki, A., Greybush, S. J., Clothiaux, E. E., Zhang, F., Ensemble-Based Assimilation of Satellite All-Sky Microwave Radiances Improves Intensity and Rainfall Predictions for Hurricane Harvey (2017). Geophysical Research Letters, 48, e2021GL096410, 2021. GRL
31. Kino, K., Okazaki, A., Cauquoin, A., Yoshimura, K., Contribution of the Southern Annular Mode on variations in water isotopes of daily precipitation at Dome Fuji, East Antarctica, JGR-Atmos, 126, e2021JD035397, 2021. JGR-A
32. Okazaki, A., Miyoshi, T., Yoshimura, K., Greybush, S. J., and Zhang, F., Revisiting online and offline data assimilation comparison for paleoclimate reconstruction: an idealized OSSE study, 126, e2020JD034214, JGR-Atmos, 2021. JGR-A
33. Taylor, J., Okazaki, A., Honda, T., Kotsuji, S., Yamaji, M., Kubota, T., Oki, R., Iguchi, T. and Miyoshi, T., Oversampling Reflectivity Observations from a Geostationary Precipitation Radar Satellite: Impact on Typhoon Forecasts within an OSSE Framework, JAMES, 2021. JAMES Press Media
34. Shoji, S., Okazaki, A., Yoshimura, K., Comparative study towards millennium reanalysis by data assimilation using isotope ratios of proxies, Journal of Japan Society of Civil Engineers, 65, I_121-126, 2020. (in Japanese) JJSCE
35. Kotsuki, S., Pensoneault, A., Okazaki, A., Miyoshi, T. Weight structure of the Local Ensemble Transform Kalman Filter: A case with an intermediate atmospheric general circulation model. Q. J. R. Meteorol. Soc., 146, 3399–3415, 2020. QJRMS
36. Okazaki, A., Honda, T., Kotsuki, S., Yamaji, M., Kubota, T., Oki, R., Iguchi, T., and Miyoshi, T., Simulating precipitation radar observations from a geostationary satellite, Atmos. Meas. Tech., 12, 3985-3996, 2019. AMT
37. Okazaki, A., and Yoshimura, K., Global evaluation of proxy models for stable water isotopes with realistic atmospheric forcing, JGR-Atmos, 124, 8972– 8993, 2019. JGR-A
38. Shoji, S., Okazaki, A., and Yoshimura, K., Study on spatiotemporal characteristic of observation impact in proxy data assimilation, Journal of Japan Society of Civil Engineers, 74 (5), I_49-I_54, 2018. (in Japanese) JJSCE
39. Hydro 2k Consortium, Comparing proxy and model estimates of hydroclimate variability and change over the Common Era, Clim. Past., 13, 1851-1900, 2017. CP
40. Okazaki, A., and K. Yoshimura, Development and evaluation of a system of proxy data assimilation for paleoclimate reconstruction, Clim. Past, 13, 379-393, 2017. CP
41. Wei, Z., K. Yoshimura, A. Okazaki, K. Ono, W. Kim, M. Yokoi, C.-T. Lai, Understanding the variability of water isotopologues in near-surface atmospheric moisture over a humid subtropical rice paddy in Tsukuba, Japan, J. Hydrology, 533, 91-102, 2016. J. Hydrology
42. Wei, Z., K. Yoshimura, A. Okazaki, W. Kim, Z. Liu, M. Yokoi, Partitioning of evapotranspiration using high frequency water vapor isotopic measurement over a paddy field, Water Resour. Res., 51(5), 3716-3729, 2015. WRR
43. Okazaki, A., Y. Satoh, G. Tremoy, F. Vimeux, R. Scheepmaker, and K. Yoshimura, Interannual variation of vapor isotope in West Africa and its relation to ENSO, Atmos. Chem. Phys., 15, 3193-3204, 2015. ACP
44. Wei, Z., A. Okazaki, H. Maeda, Y. Satoh, M. Kiguchi, K. Noda, M. Koike, W. Kim, Z. Liu, and K. Yoshimura, Investigating vegetation-atmosphere water exchange by using high frequency spectroscopy vapor isotope observations, Journal of Japan Society of Civil Engineers, Ser. B1, 70, 181-186, 2014. JJSCE
45. Okazaki, A., P. J.-F. Yeh, K. Yoshimura, M. Watanabe, M. Kimoto, and T. Oki, Changes in Flood Risk under Global Warming Estimated Using MIROC5 and the Discharge Probability Index, J. Meteor Soc. Japan, 90(4), 509-524, 2012. JMSJ

Proceedings with review

1. Z. Zhang, Y. Susuki, A. Okazaki, Sparsity-promoting dynamic mode decomposition applied to sea surface temperature fields, SICE Festival 2025 with Annual Conference, Thailand, September 2025.
2. Z. Zhang, Y. Susuki, A. Okazaki, Koopman mode decomposition of transient weather dynamics: A case study on short-term humidity ratio data, International Symposium on Nonlinear Theory and its Applications, Japan, October 2025.
3. Higuchi, Y., Nagai, R., Okazaki, A., Ogura, M., and Wakamiya, N., Comparative Analysis of Black-Box Optimization Methods for Weather Intervention Design, ICCS2025, LNCS 15903, 194-209, https://doi.org/10.1007/978-3-031-97626-1_14, 2025. arXiv ICCS2025

Books

1. 松本朋哉, 藤岡悠一郎, 渡部哲史, 荒野邦雄, 田尻義了, 鬼丸武史（編）「水共生学シリーズ２ ゆらぐ水環境を生きる：恵みの水, 災いの水」九州大学出版, ISBN:978-4-7985-0407-0, 2026.

Presentations (selected only)

1. Okazaki, A., Tanoue, M., Kino, K., Cauquoin, A., Yoshimura, K., Estimation of Parameters in an Isotope-Enabled GCM with Data Assimilation and Satellite-Based Observations, JpGU Meeting 2024, 26-31 May 2024, Chiba, Japan. (Invited)
2. Okazaki, A., Ultra-High Spatiotemporal Resolution Reconstruction of the Climate around Japan with Large Ensemble of Climate Simulations and Old Documents, JpGU Meeting 2024, 26-31 May 2024, Chiba, Japan. (Invited)
3. Okazaki, A., Kotsuki, S., Carrio, D., Yoshimura, K., Climate reconstruction with observation errors estimated by innovation statistics, JpGU Meeting 2023, Chiba, Japan, 21-26 May 2023. (Invited poster)
4. Okazaki, A., Observation Error Estimation for Climate Proxies with Innovation Statistics, DA Seminar, RIKEN R-CCS, Kobe, Japan, 14 Nov. 2022. (Invited)
5. Okazaki, A. and Yoshimura, K., Paleoclimate Reconstruction with Isotope-Enabled GCM and Proxy System Models, IsoNet 2022, Virtual Seminar, 6 Oct. 2022.(Invited)
6. 岡崎淳史、データ同化とイノベーション統計を用いた古気候復元と気候プロキシに含まれる誤差の推定、日本地球化学第69回年会、高知、7-9 Sep 2022. (Invited)
7. Okazaki, A. and Yoshimura, K., Evaluation of proxy system models for stable water isotopes and introduction of their application to paleoclimate studies, JpGU2021, 4 Jun. 2021. (Invited)
8. Okazaki, A., Honda, T., Kotsuki, S., Miyoshi, T., Precipitation radar data assimilation with an ensemble Kalman filter: an observing system simulation experiment for a typhoon case, ADAPT seminar, PSU, PA, US, Mar 29 2019. (Invited)
9. 2018 May, Okazaki, A., Miyoshi, T., Yoshimura, K., Zhang, F., Toward online data assimilation for the millennium reanalysis, A-CC29, JpGU 2018, Makuhari, Chiba, Japan, May 20-24 2018. (Invited)
10. 2017 May, Atsushi Okazaki, Development and evaluation of isotopic proxy data assimilation system, First workshop of the PAGES working group on Paleoclimate Reanalyses, Data Assimilation and Proxy System modelling (DAPS), Louvain-la-Neuve, Belgium, 29 May-1 Jun 2017. (Invited)
11. 2017 May, Yoshimura, K., Okazaki, A., and Neluwala, P., Challenges for millennium reanalysis, JpGU-AGU Joint Meeting 2017, Makuhari, Japan, 20-25 May, 2017. (Invited)
12. 2016 Oct., Okazaki, A., Basics of data assimilation and its application to paleoclimate, Kongju National University, Gongju, Korea, 17-21 Oct., 2016. (Invited)

Full list is available HERE

Grants:

• 2026-2027, JSPS Grant-in-Aid for Challenging Research (Exploratory), Reconstruction of meteorological fields during the Edo period using Large Language Models, 26K22503, PI.
• 2026-2033, JST FOREST, Unveiling cloud microphysics using water isotopes as a Maxwell’s demon, JPMJFR25xx(), PI.
• 2026-2028, JSPS Grant-in-Aid for Transformative Research Area (B), Exploring the Predictive Limits of Climate Tipping Points by Integrating Climate Model and Proxies, 26K00011, PI.
• 2025-2028, IAEA CRP (F31008), Estimation of Isotope Ratios in Convective-scale Precipitations by Isotope-enabled Models and Isotopic Observations with Data Assimilation, PI.
• 2025-2027, ERCA Environment Research and Technology Development Fund, Reducing uncertainties in climate projection with data assimilation as Emergent Constraints, 2RA-2501, PI.
• 2025-2029, JSPS Grant-in-Aid for Scientific Research (A), Transforming Weather Prediction with Deep Learning and Quantum Computing, 25H00752, Co-PI (PI: S. Kotsuki@Chiba Univ.).
• 2025-2028, JSPS Grant-in-Aid for Scientific Research (B), Temporal changes in composition and dynamics in the North Pacific sub-surface and intermediate water masses since the last glacial period and their factors, 25K03238, Co-PI (PI: H. Takayanagi@Tohoku Univ.).
• 2025-2027, JSPS Grant-in-Aid for Scientific Research (B), Exploring new isotope hydrology with next-generation geostationary satellites, 25K01329, PI.
• 2025-2026, JSPS Grant-in-Aid for Scientific Research (C), Development of a control algorithm for extreme weather events inspired by rare-event simulation techniques, 25K07942, Co-PI (PI: T. Mitsui@Juntendo Univ.).
• 2024-2026, JST MIRAI Program, Impact assessment of SAMRAI satellite observations on tropical cyclone forecastings, Co-PI (PM: Naoya Tomii@JAXA).
• 2023-2026, JST Moonshot Goal 8, Artificial generation of upstream maritime heavy rains to govern intense-rain-induced disasters over land, JPMJMS2389-4-1, PI (PM: S. Kotsuki@Chiba Univ.).
• 2022-2026, JSPS Grant-in-Aid for Scientific Research (S) , Generation of Millennium Atmospheric Reanalysis Product, 22H04938, Co-PI.

Full list is available HERE

Computer Resources

• 2026: Fugaku, General Access, Feasibility study of weather control with control position optimization, hp260182, 4,252,500 NH.
• 2025: Fugaku, General Access, Feasibility study of weather control with model predictive control under idealized conditions, hp250178, 3,195,900 NH.
• 2024: Fugaku, General Access, Development and Demonstration of Model Predictive Control Method for Weather Control, hp240169, 2,518,125 NH.
• 2023: Fugaku, Fugaku Trial for General Access, Application of SCALE-LETKF for studies on weather control, hp230317 and hp230476, 61,200 NH.
• 2022-: Wisteria, Cooperative Research Activities of Collaborative Use of Computing Facility of the Atmosphere and Ocean Research Institute, the University of Tokyo, Study on paleoclimate reconstruction with data assimilation, 16,000 NH.

Awards & Honors:

• May 2026, 4th Best Paper Award, Japan Society of Atmospheric Chemistry
• Mar 2026, Outstanding Discussion Award, The 70th Conference on Hydraulic Engineering, Japan Society of Civil Engineers
• Oct 2022, Hirosaki University Outstanding Young Thesis Award
• Apr 2018, Selected for RIKEN Special Postdoctoral Researcher (SPDR)
• Apr 2013, Selected for JSPS Research Fellow (DC2)

External Services:

Paper reviewer

Atmosphere (2) Atmospheric Chemistry and Physics (1) Climate Dynamics (2) Earth and Space Science (1) Geochemical Journal (1) Geophysical Research Letters (1) Geoscience Data Journal (1) Geoscientific Model Development (1) Journal of Advances in Modeling Earth Systems (1) Journal of Climate (1) Journal of Geophysical Research: Atmosphere (1) Journal of Geophysical Research: Biogeosciences (1) Journal of the Meteorological Society of Japan (2) Nature (2) Nature Communications (1) Nonlinear Processes in Geophysics (1) PEPS (1) Quarterly Journal of the Royal Meteorological Society (1) Tellus-A (1)

Editorial board

• Nov. 2018 - Oct. 2022: Journal of Japan Society of Hydrology and Water Resources

Committee member

• Jan 2026 - Dec 2029, PAGES Working group, Climate Field Reconstructions and Methods Intercomparison CFRAME, Steering Committee.
• May 2025 -: Japan Society of Civil Engineers, Committee on Hydroscience and Hydraulic Engineering
• Nov 2024 -: Japan Society of Hydrology and Water Resources, Committee on Information Systems