Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5309-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5309-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
02 Dec 2022
Data description paper |
| 02 Dec 2022
| 02 Dec 2022
Long-term ash dispersal dataset of the Sakurajima Taisho eruption for ashfall disaster countermeasure
Haris Rahadianto
CORRESPONDING AUTHOR
Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan
Disaster Prevention Research Institute, Kyoto University, Uji
611-0011, Japan
Hirokazu Tatano
Disaster Prevention Research Institute, Kyoto University, Uji
611-0011, Japan
Masato Iguchi
Sakurajima Volcano Research Center, Disaster Prevention Research
Institute, Kyoto University, Sakurajima 851-1419, Japan
Hiroshi L. Tanaka
Center for Computational Sciences, Division of Global Environmental
Science, University of Tsukuba, Ibaraki 305-8577, Japan
Tetsuya Takemi
Disaster Prevention Research Institute, Kyoto University, Uji
611-0011, Japan
Sudip Roy
Department of Computer Science and Engineering, Indian Institute of
Technology Roorkee, Roorkee, Uttarakhand 247-667, India
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Vinay Kumar, Shigeo Yoden, Matthew H. Hitchman, Tetsuya Takemi, and Kosuke Ito
EGUsphere, https://doi.org/10.5194/egusphere-2025-3420, https://doi.org/10.5194/egusphere-2025-3420, 2025
Short summary
Short summary
This study provides an insightful view on possible teleconnections between the stratospheric QBO and global monsoon system which vary on a seasonal and regional basis. It is observed that the QBO has dynamical teleconnections with different regional monsoons where prominent dynamical circulations prevail, and primarily modulates these circulations, thereby influencing the associated precipitation patterns. The findings would enable us to improve long-range forecasting for global monsoon system.
Shao-Yi Lee, Sicheng He, and Tetsuya Takemi
Nat. Hazards Earth Syst. Sci., 25, 2225–2253, https://doi.org/10.5194/nhess-25-2225-2025, https://doi.org/10.5194/nhess-25-2225-2025, 2025
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The authors performed verification on the relationships between extreme monsoon rainfall over Japan and Pacific sea surface temperature variability in the “database for Policy Decision-making for Future climate changes” (d4PDF). Observations showed widespread weak relationships between hourly extremes and the warming mode but reversed relationships between daily extremes and the decadal variability mode. Biases in d4PDF could be explained by the monsoon's slower movement over Japan in the model.
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Short summary
We simulated the Taisho (1914) eruption of Sakurajima volcano under various weather conditions to show how a similar eruption would affect contemporary Japan in a worst-case scenario. We provide the dataset of projected airborne ash concentration and deposit over all of Japan to support risk assessment and planning for disaster management. Our work extends previous analyses of local risks to cover distal locations in Japan where a large population could be exposed to devastating impacts.
We simulated the Taisho (1914) eruption of Sakurajima volcano under various weather conditions...
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