1. Climate projection data: d4PDF/d2PDF tropical cyclone track

We provide tropical cyclone track data in a database for Policy Decision making for Future climate change (d4PDF). The data contains locations, intensities, and TC radii. It may useful to extract extreme events of d4PDF.

Data description

Methodology

The extraction of TC tracks of d4PDF is based on Shimura et al. (2016).

Download data

Please download data from the following links. The format of the data is NetCDF.

Terms and Conditions of Data Use

Please cite the following reference when you use the data. It would be nice if the user sent us the results of the paper.

  1. 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.
  2. Webb, A., T. Shimura, N. Mori (2019) Global Tropical Cyclone Track Detection and Analysis of the d4PDF Mega-ensemble Projection, Vol.75/2, p. I_1207-I_1212
  3. Shimura, T., N. Mori and M. A. Hemer (2016) Projection of tropical cyclone-generated extreme wave climate based on CMIP5 multi-model ensemble in the Western North Pacific, Climate Dynamics, Vol.49(4), pp.1449-1462.
  4. Tomoharu OKADA, Nobuhito MORI, Tomoya SHIMURA, TYPHOON TRACKING IN D4PDF'S +1.5K WARMING SCENARIO AND TYPHOON IMPACT ASSESSMENT BASED ON WARMING LEVELS, Japanese Journal of JSCE, 2024, Volume 80, Issue 17, Released on J-STAGE November 01, 2024, Online ISSN 2436-6021, https://doi.org/10.2208/jscejj.24-17048

2. Climate projection data: d4PDF extra-tropical cyclone track

We provide extra-tropical cyclone track data in a database for Policy Decision making for Future climate change (d4PDF). The data contains locations, intensities, and ETC. It may useful to extract extreme events of d4PDF.

Data description

Methodology

The extraction of ETC tracks of d4PDF is based on Mori et al. (2017). Please check the reference in detail. Please also cite references from Ninomiya et al. (2021) if you use this dataset for publishing papers and other papers.

Download data

Please download data from the following links. The format of the data is NetCDF.

Terms and Conditions of Data Use

Please cite the following reference when you use the data. It would be nice if user send us the results of paper.

  1. 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.
  2. Nobuhito MORI, Maki CHIWATA, Junichi NINOMIYA, Hajime MASE, LONG-TERM VARIABILITY OF WINTER EXTRATROPICAL CYCLONES AROUND JAPAN BASED ON JRA-55 ANALYSIS, Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), 2017, Volume 73, Issue 2, Pages I_487-I_492 (in Japanese)
  3. 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

3. Wave climate projection data

Global long-term wave climate projection was carried out based on the future climate prediction by MRI-AGCM of JMA Meteorological Research Institute. The global wave climate projections with high-resolution nesting computations for the Japanese coastal area were performed.

Data description

Methodology

The spectral wave model WAVEWATCH III (version 4.16) was driven by the MRI-AGCM of the Japan Meteorological Research Institute (MRI), using wind speed and sea ice concentration as external forces to calculate wave climate since 1979. We used a three-step nesting method to calculate the global (resolution of about 60 km) - northwestern Pacific (17 km) - area around Japan (7 km). (Reference 1 aand 2)

Download data

Please download data from the following links. The format of the data is NetCDF.

  • TBA

Terms and Conditions of Data Use

Please cite the following reference when you use the data. It would be nice if the user sent us the results of the paper.

  1. Shimura, T., N. Mori and M.A. Hemer (2016) Variability and future decreases in winter wave heights in the Western North Pacific, Geophysical Research Letters, Vol.43(6), pp.2716-2722.
    doi:10.1002/2016GL067924
  2. Shimura, T., N. Mori and M. A. Hemer (2016) Projection of tropical cyclone-generated extreme wave climate based on CMIP5 multi-model ensemble in the Western North Pacific, Climate Dynamics, Vol.49(4), pp.1449-1462