*Please refer to Researchmap for presentations.
Kubo H. and K. Yoshida (2025) Complexity of source time functions of moderate crustal earthquakes in Japan, in preparation.
Kubo, H. & L. Yamaya (2025) Characteristics of Long-Period Ground Motions Caused by the 2024 Noto Peninsula Earthquake, Journal of Japan Association for Earthquake Engineering, 25, 12_76-12_91. https://doi.org/10.5610/jaee.25.12_76
Kubo, H. and K. Shiomi (2025) Short-Term Forecasting of Aftershock Ground-Motion Hazards Within a Few Hours After a Large Earthquake in Japan, Seismological Research Letters. https://doi.org/10.1785/0220250113
Kubota, T., H. Kubo, T. Miyoshi, W. Suzuki, S. Aoi, T. Kunugi, and T. Takeda (2024) Tsunami Source Modeling of the Earthquake beneath Hyuganada Sea on 8 August 2024 using Ocean-bottom Pressure Gauge Records of N-net and DONET, Zisin (Journal of the Seismological Society of Japan. 2nd ser.), 78, 73-86. https://doi.org/10.4294/zisin.2024-10S [preprint]
Takeo A., H. Kubo, R. Kurihara, and K. Tarum (2025) Questionnaire surveys about the Nankai Trough Earthquake Extra Information in August 2024 and the results – Focusing on the differences among seismologists, related professionals, and the general public –, Zisin (Journal of the Seismological Society of Japan. 2nd ser.), 78, 87-98. https://doi.org/10.4294/zisin.2024-27S
Dhakal, Y.P., T. Kunugi, H. Kubo, W. Suzuki, S. Naito, S. Senna, and S. Aoi (2025) Characteristics of peak ground motions and nonlinear site response during the 2024 Mw 7.5 Noto Peninsula earthquake, Earth, Planets and Space, 77, 93. https://doi.org/10.1186/s40623-025-02212-x
Shibata, R., H. Kubo, W. Suzuki, S. Aoi, and H. Sekiguchi (2025) Source Process Estimation for the 2024 Mw 7.1 Hyuganada, Japan, Earthquake and Forward Modeling Using N-net Ocean Bottom Seismometer Data, Geophysical Research Letters, 52, e2025GL115401. https://doi.org/10.1029/2025GL115401 [preprint]
Yamaya, L., H. Kubo, K. Shiomi, and T. Kimura (2025) Aftershock characteristics of the 2024 Noto Peninsula earthquake (Mw7.5) through centroid moment tensor analysis using a 3-D seismic velocity structure model, Earth, Planets and Space, 77, 67. https://doi.org/10.1186/s40623-025-02196-8 [preprint]
Kubota, T., H. Kubo, and T. Saito (2025). Reliable fault modeling of an Mw 7.1 earthquake in Hyuganada Sea on 8 August 2024 by offshore tsunami data from new seafloor network N-net and onshore GNSS data. Geophysical Research Letters, 52, e2025GL115391. https://doi.org/10.1029/2025GL115391 preprint
Yamaya, L., H. Kubo, K. Shiomi, and S. Takemura (2024) Impact of the offshore seismograph network and 3-D seismic velocity structure model on centroid moment tensor analysis for offshore earthquakes: Application to the Japan Trench subduction zone. Journal of Geophysical Research: Solid Earth, 129, e2024JB029944. https://doi.org/10.1029/2024JB029944
Kubo, H. and K, Shiomi (2024) Toward an Understanding of the Utilization Status of NIED MOWLAS Data based on Data DOI Citation Information, Zisin (Journal of the Seismological Society of Japan. 2nd ser.), 77, 53-66. https://doi.org/10.4294/zisin.2023-20
Dhakal, Y., H. Kubo, and T. Kunugi (2024) Prediction Equations for Peak-Ground Accelerations and Velocities in Northeast Japan Using the S-net Data, J. Disaster Res., 19, 5, 760-771. https://doi.org/10.20965/jdr.2024.p0760
Kubo, H., M. Naoi, and M. Kano (2024) Recent Advances in Earthquake Seismology using Machine Learning, Earth, Planets and Space, 76, 36. https://doi.org/10.1186/s40623-024-01982-0
Suzuki, W., T. Kimura, H. Kubo, and S. Senna (2023) Strong Motion Simulation of the Hypothetical M7 Intraplate Earthquake beneath Tokyo Metropolitan Area Using MeSO-net Observation Data, Journal of Japan Association for Earthquake Engineering, 23, 4, 4_54-4_69. https://doi.org/10.5610/jaee.23.4_54 (in Japanese with English abstract)
Kubo, H., T. Kubota, W. Suzuki, and T. Nakamura (2023) On the use of tsunami-source data for high-resolution fault imaging of offshore earthquakes. Earth, Planets and Space, 75, 125. https://doi.org/10.1186/s40623-023-01878-5
Kubo, H., T. Kimura, and K. Shiomi (2023) Exploratory Data Analysis of Earthquake Moment Tensor Catalog in Japan using Non-linear Graph-based Dimensionality Reduction, Pure and Applied Geophysics, 180, 2689-2703. https://doi.org/10.1007/s00024-023-03296-w
Kubo, H. and T. Kunugi (2022) Prediction Approach of Rise Part of Real-Time Seismic Intensity, Journal of Japan Association for Earthquake Engineering, 22, 6, 6_22-6_38. https://doi.org/10.5610/jaee.22.6_22 *This paper is an English translation of a paper originally published in Japanese (Kubo and Kunugi 2022)
Kubo, H., T. Kimura, and K. Yoshida (2022) APPLICATION OF BAYESIAN OPTIMIZATION TO CENTROID MOMENT TENSOR INVERSION, Intelligence, Informatics and Infrastructure, 3, J2, 209-214. https://doi.org/10.11532/jsceiii.3.J2_209 (in Japanese)
Kubo, H., T. Kubota, W. Suzuki, S. Aoi, O. Sandanbata, N. Chikasada, and H. Ueda (2022) Ocean-wave phenomenon around Japan due to the 2022 Tonga eruption observed by the wide and dense ocean-bottom pressure gauge networks, Earth, Planets and Space, 74, 104. https://doi.org/10.1186/s40623-022-01663-w
Kubo, H., and T. Kunugi (2022) Prediction Approach of Rise Part of Real-Time Seismic Intensity, Journal of Japan Association for Earthquake Engineering, 22, 1, 1_36-1_49. https://doi.org/10.5610/jaee.22.1_36 (in Japanese with English abstract)
Yoshida, K., N. Uchida, H. Kubo, R. Takagi, and S. Xu (2022) Prevalence of updip rupture propagation in interplate earthquakes along the Japan trench, Earth and Planetary Science Letters, 578, 117306. https://doi.org/10.1016/j.epsl.2021.117306
Kubo, H., W. Suzuki, and A. Noda (2022) Effect of fault discretization on geodetic source inversion and usefulness of the trans-dimensional inversion approach, Geophysical Journal International, 229, 2, 1063-1076. https://doi.org/10.1093/gji/ggab515
Kubota, T., H. Kubo, K. Yoshida, N. Y. Chikasada, W. Suzuki, T. Nakamura, and H. Tsushima (2021) Improving the constraint on the Mw 7.1 2016 off-Fukushima shallow normal-faulting earthquake with the high azimuthal coverage tsunami data from the S-net wide and dense network: Implication for the stress regime in the Tohoku overriding plate, Journal of Geophysical Research: Solid Earth, 126, e2021JB022223. https://doi.org/10.1029/2021jb022223
Miyamoto, T., T. Asakawa, H. Kubo, Y. Nomura and Y. Miyamori (2020) Research trends in machine learning from the perspective of disaster prevention applications, Intelligence, Informatics and Infrastructure, 1, J1, 242-251. https://doi.org/10.11532/jsceiii.1.J1_242.
Kubo, H., K. Asano, T. Iwata, and S. Aoi (2020) Along-dip variation in seismic radiation of the 2011 Ibaraki-oki, Japan, earthquake (Mw 7.9) inferred using a multiple-period-band source inversion approach, Journal of Geophysical Research: Solid Earth, 125, e2020JB019936. https://doi.org/10.1029/2020JB019936
Kubo, H., T. Kunugi, W. Suzuki, S. Suzuki, and S. Aoi (2020) Hybrid predictor for ground-motion intensity with machine learning and conventional ground motion prediction equation, Scientific Reports, 10, 11871. https://doi.org/10.1038/s41598-020-68630-x
Kubo, H., and T. Nishikawa (2020) Relationship of preseismic, coseismic, and postseismic fault ruptures of two large interplate aftershocks of the 2011 Tohoku earthquake with slow-earthquake activity, Scientific Reports, 10, 12044. https://doi.org/10.1038/s41598-020-68692-x
Kubo, H., A. Iwaki, W. Suzuki, S. Aoi, and H. Sekiguchi (2020) Estimation of the source process and forward simulation of long-period ground motion of the 2018 Hokkaido Eastern Iburi, Japan, earthquake, Earth, Planets and Space, 72, 20. https://doi.org/10.1186/s40623-020-1146-z [Source model data] *The previous paper (Kubo et al., 2019a) was retracted (Kubo et al., 2019b) because after the publication, I and the coauthors noticed that the source inversion was not done with the intended setting. The corrected version was published as Kubo et al. (2020).
Kubo, H., T. Nakamura, W. Suzuki, Y. P. Dhakal, T. Kimura, T. Kunugi, N. Takahashi, and S. Aoi (2019) Ground-motion characteristics and nonlinear soil response observed by DONET1 seafloor observation network during the 2016 southeast off-Mie, Japan, earthquake, Bulletin of the Seismological Society of America, 109, 3, 976-986. https://doi.org/10.1785/0120170296
Takemura, S., H. Kubo, T. Tonegawa, T. Saito, and K. Shiomi (2018) Modeling of long-period ground motions in the Nankai subduction zone: Model simulation using the accretionary prism derived from oceanfloor local S-wave velocity structures, Pure and Applied Geophysics, 176, 627-647. https://doi.org/10.1007/s00024-018-2013-8
Kubo, H., T. Nakamura, W. Suzuki, T. Kimura, T. Kunugi, N. Takahashi, and S. Aoi (2018) Site amplification characteristics at Nankai seafloor observation network, DONET1, Japan, evaluated using spectral inversion, Bulletin of the Seismological Society of America, 108, 3A, 1210-1218. https://doi.org/10.1785/0120170254
Takemura, S., T. Kimura, T. Saito, H. Kubo, and K. Shiomi (2018) Moment tensor inversion of the 2016 southeast offshore Mie earthquake in the Tonankai region using a three-dimensional velocity structure model: effects of the accretionary prism and subducting oceanic plate, Earth, Planets and Space, 70, 50. https://doi.org/10.1186/s40623-018-0819-3
Urata, Y., K. Yoshida, E. Fukuyama, and H. Kubo (2017) 3-D dynamic rupture simulations of the 2016 Kumamoto, Japan, earthquake, Earth, Planets and Space, 69, 150. https://doi.org/10.1186/s40623-017-0733-0
Kubo, H., W. Suzuki, S. Aoi, and H. Sekiguchi (2017) Source rupture process of the 2016 central Tottori, Japan, earthquake (MJMA 6.6) inferred from strong motion waveforms, Earth, Planets and Space, 69, 127. https://doi.org/10.1186/s40623-017-0714-3 [Source model data]
Kubo, H., W. Suzuki, T. Kunugi, and S. Aoi (2017) Attenuation Relationship Characteristics of Ground Motions for Deep-focus Earthquakes around the Ogasawara Islands, Japan, Journal of Japan Association for Earthquake Engineering, 17, 4, 13-29. https://doi.org/10.5610/jaee.17.4_13 (in Japanese with English abstract)
Suzuki, W., S. Aoi, T. Kunugi, H. Kubo, N. Morikawa, H. Nakamura, T. Kimura, and H. Fujiwara (2017) Strong motions observed by K-NET and KiK-net during the 2016 Kumamoto earthquake sequence, Earth, Planets and Space, 69, 19. https://doi.org/10.1186/s40623-017-0604-8
Kubo, H., W. Suzuki, S. Aoi, and H. Sekiguchi (2016) Source rupture processes of the 2016 Kumamoto, Japan, earthquakes estimated from strong motion waveforms, Earth, Planets and Space, 68, 161. https://doi.org/10.1186/s40623-016-0536-8 ("Hot papers" in Web of Science) [Source model data]
Dhakal, Y. P., H. Kubo, W. Suzuki, T. Kunugi, S. Aoi, and H. Fujiwara (2016) Analysis of strong ground motions and site effects at Kantipath, Kathmandu, from 2015 Mw 7.8 Gorkha, Nepal, earthquake and its aftershocks, Earth, Planets and Space, 68, 58. https://doi.org/10.1186/s40623-016-0432-2
Kubo, H., Y. P. Dhakal, W. Suzuki, T. Kunugi, S. Aoi, and H. Fujiwara (2016) Estimation of source process of the 2015 Gorkha, Nepal, earthquake and simulation of long-period ground motions in Kathmandu basin using a one-dimensional basin structure model, Earth, Planets and Space, 68, 16. https://doi.org/10.1186/s40623-016-0393-5
Kubo, H., K. Asano, T. Iwata, and S. Aoi (2016) Development of fully Bayesian multiple-time-window source inversion, Geophysical Journal International, 204(3), 1601-1609. https://doi.org/10.1093/gji/ggv540
Tanaka, M., K. Asano, T. Iwata, and H. Kubo (2014) Source rupture process of the 2011 Fukushima-ken Hamadori earthquake: how did the two subparallel faults rupture?, Earth, Planets and Space, 66, 101. https://doi.org/10.1186/1880-5981-66-101
Kubo, H., K. Asano, and T. Iwata (2013) Source-Rupture Process of the 2011 Ibaraki-oki, Japan, Earthquake (Mw 7.9) Estimated from the Joint Inversion of Strong-Motion and GPS Data: Relationship with Seamount and Philippine Sea Plate, Geophysical Research Letters, 40, 3003-3007. https://doi.org/10.1002/grl.50558 [Source model data]
Kubo, H., and Y. Kakehi (2013) Source process of the 2011 Tohoku earthquake estimated from the joint inversion of teleseismic body waves and geodetic data including seafloor observation data: source model with enhanced reliability by using objectively determined inversion settings, Bulletin of the Seismological Society of America, 103, 1195-1220. https://doi.org/10.1785/0120120113
Suzuki W., H. Kubo, Y.P. Dhakal, T. Kunugi, S. Aoi, and H. Sekiguchi (2025) Strong Motions and Source Rupture Process of the 2024 Noto Peninsula Earthquake from K-NET and KiK-net, Natural Disaster Research Report, National Research Institute for Earth Science and Disaster Resilience. https://doi.org/10.24732/nied.00007311
Kubo, H. (2023) Application of Machine Learning Techniques to Ground-Motion Prediction, Reports of Coordinating Committee for Earthquake Prediction, 110, 459-461 (in Japanese).
Kubo, H., W. Suzuki, S. Aoi, and H. Sekiguchi (2020) Rupture process of the 2019 off Yamagata prefecture earthquake derived from near-source strong-motion records, Reports of Coordinating Committee for Earthquake Prediction, 103, 73-77 (in Japanese). [Source model data]
Kubo, H., W. Suzuki, S. Aoi, and H. Sekiguchi (2017) Rupture process of the 2016 off Fukushima prefecture earthquake derived from near-source strong-motion records, Reports of Coordinating Committee for Earthquake Prediction, 97, 58-61 (in Japanese).
Kubo, H., W. Suzuki, S. Aoi, and H. Sekiguchi (2017) Rupture process of the 2016 Central Tottori prefecture earthquake derived from near-source strong-motion records, Reports of Coordinating Committee for Earthquake Prediction, 97, 360-364 (in Japanese).
Kubo, H., and S. Aoi (2016), Strong ground motions in the Oita Prefecture caused by the induced event just after the 2016 Kumamoto earthquake (Apr. 16, M 7.3), Reports of Coordinating Committee for Earthquake Prediction, 96, 606-610 (in Japanese).
Kubo, H., W. Suzuki, S. Aoi, and H. Sekiguchi (2016) Rupture process of the 2016 Kumamoto earthquake (Apr. 16, M 7.3) derived from near-source strong-motion records, Reports of Coordinating Committee for Earthquake Prediction, 96, 600-605 (in Japanese).
Kubo, H., W. Suzuki, S. Aoi, and H. Sekiguchi (2016) Rupture process of the 2016 Kumamoto earthquake (Apr. 14, M 6.5) derived from near-source strong-motion records, Reports of Coordinating Committee for Earthquake Prediction, 96, 595-599 (in Japanese).
Kubo, H., W. Suzuki, S. Aoi, and H. Sekiguchi (2016) Rupture process of the 2016 Urakawa-oki earthquake derived from near-source strong-motion records, Reports of Coordinating Committee for Earthquake Prediction, 96, 47-51 (in Japanese). [Source model data]
Kubo, H., T. Kimura, W. Suzuki, S. Aoi, and H. Sekiguchi (2015) Rupture process of the 2015 Miyagi-oki earthquake derived from near-source strong-motion records, Reports of Coordinating Committee for Earthquake Prediction, 94, 64-70 (in Japanese). [Source model data]
Kakehi, Y., and H. Kubo (2013) Structure of subduction zone and source model of huge interplate earthquake: possibility of fault-width saturation for the 2011 Tohoku earthquake, Report of Research Center for Urban Safety and Security, Kobe University, 17, 259-268 (in Japanese with English abstract).
Kubo, H. and A. Iwaki (2023) Hybrid of GMPE and Machine Learning for Site-Specific Earthquake Ground-Motion Prediction, The 16th Japan Earthquake Engineering Symposium, Day2-C2-PB22, Yokohama.
Kubo, H. (2023) An Attempt for Symbolic Regression of Earthquake Ground-Motion Prediction Equation Using AI Feynman, JSAI2023, 3Yin2-42, Kumamoto & Online. https://doi.org/10.11517/pjsai.JSAI2023.0_2B6GS302
Kubo, H., T. Kimura, and K. Shiomi (2022) Similarity search of earthquakes based on a UMAP embedded map, JSAI2022, 3Yin2-42, Kyoto & Online. https://doi.org/10.11517/pjsai.JSAI2022.0_3Yin24
Kubo, H., T. Nakamura, W. Suzuki, T. Kunugi, N. Takahashi, and S. Aoi (2020) Site characteristics of DONET1 seafloor observation network, Japan, evaluated by HVSR of coda waves and ambient noise, The 17th World Conference on Earthquake Engineering, Paper No C000923.
Kubo, H., T. Kunugi, W. Suzuki, T. Kimura, and S. Aoi (2020) Construction of explainable random forest predictor for ground-motion intensity, JSAI2020, 4Rin1-94, Online (Kumamoto). https://doi.org/10.11517/pjsai.JSAI2020.0_4Rin194
Kubo, H., T. Kunugi, S. Suzuki, W. Suzuki, and S. Aoi (2019) Attempt to reduce the effect of biased data-set on ground-motion prediction using machine learning, JSAI2019, 4K2-J-13-02, Niigata. https://doi.org/10.11517/pjsai.JSAI2019.0_4K2J1302
Kubo, H., T. Kunugi, S. Suzuki, W. Suzuki, and S. Aoi (2018) Construction of ground motion prediction equation using random forest, JSAI2018, 4Pin1-35, Kagoshima. https://doi.org/10.11517/pjsai.JSAI2018.0_4Pin135
Kubo, H., W. Suzuki, T. Kunugi, and S. Aoi (2017) An attenuation relationship for deep-focus earthquakes around the Ogasawara Islands, Japan, Proc. 16th World Conf. Earthq. Eng., Santiago, Chile, paper no. 1119.
Iwata, T., H. Kubo, K. Asano, K. Sato, and S. Aoi (2016) Long-period ground motion characteristcs and simulation in the Osaka basin duitng the 2011 great Tohoku earthquake, Proc. 5th IASPEI/IAEE Int. Symp. on the Effects of Surface Geology on Seismic Motion, Taipei, Taiwan, paper no. I101A.
Unusual tsunami due to the 2022 Tonga volcanic eruption, NIED NEWS, 219, Dec. 2022 (Joint authorship). https://doi.org/10.24732/NIED.00003924
Young Scientist Award, Comments from winners of SSJ awards in 2021, SSJ News Letter, 71, 1. https://www.zisin.jp/publications/pdf/newsletter/75NL1.pdf
Earthquake Research Project: STAR-E (Seismology TowArd Research innovation with data of Earthquake) Project, Research and Development for Semi-real-time Spatio-temporal Forecasting of Seismic Activity and Associated Ground Motion Considering Incompleteness of Seismic Data -NIED-, The Headquarters for Earthquake Research Promotion News, 14, 3, 2021 Winter. https://www.jishin.go.jp/main/herpnews/2021/win/herpnews2021win.pdf
Predicting earthquake ground motions with a hybrid of AI and physical model, NIED NEWS, 214, Nov. 2021. https://www.bosai.go.jp/information/news/pdf/k_news214.pdf
Predicting earthquake ground motions with a hybrid of machine learning and physical model, Earthquake Journal, 71, 56-59, June 2021. https://www.adep.or.jp/public/img/71.pdf
Cover, SSJ Newsletter, 74, NL1, May 2021. http://www.zisin.jp/newsletter/74NL1.pdf
Efforts of Research Institutes: Hybrid Approach of Machine Learning and Physical Model for Better Ground Motion Prediction -NIED-, The Headquarters for Earthquake Research Promotion News, 13, 2, 2020 Autumn. https://www.jishin.go.jp/main/herpnews/2020/aut/herpnews2020aut.pdf
Special Edition: Earthquake Engineering from the Perspective of Young Researchers and Engineers, Bulletin of JAEE, 41, October 2020. http://www.jaee.gr.jp/jp/stack/mag-j
Towards Utilization of Earthquake and Tsunami Data on N-net, NIED NEWS, 209, June 2020 (Joint authorship). https://www.bosai.go.jp/information/news/pdf/k_news209.pdf
2017 young-researcher paper award--Attenuation Relationship Characteristics of Ground Motions for Deep-focus Earthquakes around the Ogasawara Islands, Japan, JAEE NEWSLETTER, 7, 2, August 2018. http://www.jaee.gr.jp/jp/wp-content/uploads/2018/09/JAEE2018_vol7_no2_21_2.pdf
Cover, SSJ Newsletter, 69, NL2, July 2016. http://www.zisin.jp/newsletter/69NL2.pdf
Voice of young researcher, DPRI Newsletter, 72, May 2014. http://www.dpri.kyoto-u.ac.jp/web_j/dprinews/news72/pdf/news72.pdf