07 Jun 2022
07 Jun 2022
Status: this preprint is currently under review for the journal ESSD.

Long-Term Ash Dispersal Dataset of the Sakurajima Taisho Eruption for Ashfall Disaster Countermeasure

Haris Rahadianto1,2, Hirokazu Tatano2, Masato Iguchi3, Hiroshi L. Tanaka4, Tetsuya Takemi2, and Sudip Roy5 Haris Rahadianto et al.
  • 1Graduate School of Informatics, Kyoto University, Kyoto, 606-8501, Japan
  • 2Disaster Prevention Research Institute, Kyoto University, Uji, 611-0011, Japan
  • 3Sakurajima Volcano Research Center, Disaster Prevention Research Institute, Kyoto University, Sakurajima, 851-1419, Japan
  • 4Center for Computational Sciences, Division of Global Environmental Science, University of Tsukuba, Ibaraki, 305-8577, Japan
  • 5Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247- 667, India

Abstract. We present the ashfall deposit and airborne ash concentration dataset from ash dispersal simulation of a large-scale explosive volcanic eruption as a reference for ashfall disaster countermeasure. We select the Taisho (1914) eruption in Sakurajima volcano, regarded as the strongest eruption in Japan in the last century, as our case study to provide a baseline for the worst-case scenario. We employ one eruption scenario approach by replicating the actual eruption under various extended weather conditions to show how it would affect contemporary Japan. Accumulated ashfall has devastating impacts on both surrounding areas of the volcano and other regions, affecting airline transportation, socio-economics activities, and human health. Therefore, it is crucial to discover places with a high probability of exposure to ashfall deposition. This knowledge can help assess the additional risk in the infrastructures, human lives, and economic impacts to make a better volcanic eruption response plan. We generate the ash dispersal dataset by simulating the ash transport of the Taisho eruption scenario with a volcanic ash dispersal model and meteorological reanalysis data for 64 years (1958–2021). We explain the dataset production process and provide the dataset in multiple formats for broader audiences. We also clarify the validity of the dataset with its limitations and uncertainties. The dataset is available at the DesignSafe-CI Data Depot: or through the DOI: by selecting Version 2 (Rahadianto and Tatano, 2020).

Haris Rahadianto et al.

Status: open (until 07 Aug 2022)

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Haris Rahadianto et al.

Data sets

62 Years Simulated Sakurajima Taisho Eruption Ashfall Deposit Data (1958-2019) Haris Rahadianto, Hirokazu Tatano

Haris Rahadianto et al.


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Short summary
We did the ash dispersal simulation from the last large eruption in Sakurajima volcano, Japan, producing both ashfall deposit and airborne ash concentration. The materials coming from the large eruption is dangerous for human life and disrupt human activities. Therefore, the dataset can give us ideas on where the ash will go if the same eruption happens again. This information can help the government and the people living around a volcano to prepare. Lastly, the dataset limitation is clarified.