Name | d4PDF explosive cyclone track dataset |
DOI | doi:10.20783/DIAS.641 |
Metadata Identifier | d4PDF_explosive_cyclone20230727103430-DIAS20221121113753-en |
Name | Tomoya Shimura |
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Organization | Disaster Prevention Research Institute, Kyoto University |
dias@oceanwave.jp |
Name | DIAS Office |
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Organization | Japan Agency for Marine-Earth Science and Technology |
Address | 3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan |
dias-office@diasjp.net |
Name | Tomoya Shimura |
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Organization | Integrated Climate Model Advanced Research Program (TOUGOU Program) |
Name | Junichi Ninomiya |
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Organization | Integrated Climate Model Advanced Research Program (TOUGOU Program) |
publication : 2022-02-01
1) Explosive cyclone dataset around Japan created from "database for Policy Decision making for Future climate change (d4PDF)" using the objective cyclone tracking algorithm. The 3000 years amount data for historical climate and 5400 years amount data for 4 degree warming future, were used.
2) Source dataset (d4PDF dataset) of this dataset can be obtained from http://search.diasjp.net/en/dataset/d4PDF_RCM .
3) This dataset can be useful for meteorological disaster risk assessment under climate change due to explosive cyclones.
climatologyMeteorologyAtmosphere
Begin Date | 1951-01-01 |
End Date | 2110-12-31 |
North bound latitude | 50 |
West bound longitude | 110 |
Eastbound longitude | 160 |
South bound latitude | 20 |
Keyword Type | Keyword | Keyword thesaurus Name |
---|---|---|
theme | Atmosphere > Atmospheric Pressure > Anticyclones/Cyclones, Climate Indicators > Atmospheric/Ocean Indicators > Extreme Weather > Tropical Or Extratropical Cyclone Frequency/Intensity | GCMD_science |
theme | GLOBAL CHANGE > Impacts of global change | AGU |
Keyword Type | Keyword | Keyword thesaurus Name |
---|---|---|
theme | DIAS > Data Integration and Analysis System | No_Dictionary |
file download : https://data.diasjp.net/dl/storages/filelist/dataset:641
The file naming is as follows. Historical climate:d4pdf_HPB_m{number}.nc ・{number} is the number of ensemble member. Future climate:d4pdf_HFB_4K_{SST}_m{number}.nc ・{SST} is the future SST condition from CC, GF, HA, MI, MP, and MR. ・{number} is the number of ensemble member.
Data Policy:
1. Individual users should not redistribute the data to any third party.
2. The source of the database should be acknowledged in scientific and technical papers, publications, press releases and other communications in case of using the data.
3. This dataset can be used for non-commercial purposes. For commercial use of this dataset, the prior explicit permission of the data provider must be obtained.
Disclaimer:
The intellectual property rights of the dataset belong exclusively to Disaster Prevention Research Institute, Kyoto university. Disaster Prevention Research Institute, Kyoto university is not responsible for any damage that may result from the use of this dataset.
If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply.
If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.
Please cite following two references
Mizuta, R., A. Murata, M. Ishii, H. Shiogama, K. Hibino, N. Mori, O. Arakawa, Y. Imada, K. Yoshida, T. Aoyagi, H. Kawase, M. Mori, Y. Okada, T. Shimura, T. Nagatomo, M. Ikeda, H. Endo, M. Nosaka, M. Arai, C. Takahashi, K. Tanaka, T. Takemi, Y. Tachikawa, K. Temur, Y. Kamae, M. Watanabe, H. Sasaki, A. Kitoh, I. Takayabu, E. Nakakita, M. Kimoto (2017) Over 5000 years of ensemble future climate simulations by 60 km global and 20 km regional atmospheric models, The Bulletin of the American Meteorological Society (BAMS), July, pp.1383-1398.
Ninomiya, J, Y. Taka and N. Mori (2021) Projecting changes in explosive cyclones and high waves around Japan using a mega-ensemble projection, Ocean Engineering, Volume 237, 1 October 2021, 109634.
https://doi.org/10.1016/j.oceaneng.2021.109634
If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.
" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "
Ninomiya, J, Y. Taka and N. Mori (2021) Projecting changes in explosive cyclones and high waves around Japan using a mega-ensemble projection, Ocean Engineering, 237, 109634. https://doi.org/10.1016/j.oceaneng.2021.109634
Mizuta, R., A. Murata, M. Ishii, H. Shiogama, K. Hibino, N. Mori, O. Arakawa, Y. Imada, K. Yoshida, T. Aoyagi, H. Kawase, M. Mori, Y. Okada, T. Shimura, T. Nagatomo, M. Ikeda, H. Endo, M. Nosaka, M. Arai, C. Takahashi, K. Tanaka, T. Takemi, Y. Tachikawa, K. Temur, Y. Kamae, M. Watanabe, H. Sasaki, A. Kitoh, I. Takayabu, E. Nakakita, M. Kimoto (2017) Over 5000 years of ensemble future climate simulations by 60 km global and 20 km regional atmospheric models, The Bulletin of the American Meteorological Society (BAMS), July, pp.1383-1398. https://doi.org/10.1175/BAMS-D-16-0099.1