J-STAGE Data for JMSJ

Go to "J-STAGE Data for JMSJ" or Click the figure below.

Contents of J-STAGE Data

• Takahashi, Y. O., Y.-Y. Hayashi, G. L. Hashimoto and K. Kuramoto, 2023: Development of a Line-by-line and a Correlated k-distribution Radiation Models for Planetary Atmospheres. Meteorological Society of Japan. Dataset. NEW
  https://doi.org/10.34474/data.jmsj.21118705 (posted on 20 Oct. 2022)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2023-003

 

• Kodama S. and M. Satoh, 2022: Statistical analysis of remote precipitation in Japan caused by typhoons in September. Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.21128836 (posted on 29 Sep. 2022)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2022-046

 

• Yanase, Wataru; Araki, Kentaro; Wada, Akiyoshi; Shimada, Udai; Hayashi, Masahiro; Horinouchi, Takeshi (2022): A numerical simulation of Typhoon Hagibis (2019) during extratropical transition. Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.20072594 (posted on 4 July 2022)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2022-041

 

• Kusaka, Hiroyuki; Nakamura, Yusuke; Asano, Yuki (2022): Meteorological observation data under UV parasol, street trees, dry-mist spraying, and direct sunlight. Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.19556413 (posted on 19 Apr. 2022)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2022-035

 

• Islam, Md. R., S. Masaki, and T. Hiroshi, 2022: Data for Tropical Cyclone Affecting Japan Central Coast. Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.19200350 (posted on 22 Feb. 2022)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2022-024

 

• Tsuyuki, T., and R. Tamura, 2022: Software of "Python programs for deep learning-ensemble Kalman filter". Meteorological Society of Japan. Software.
  https://doi.org/10.34474/data.jmsj.19136891 (posted on 17 Feb. 2022)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2022-027

 

• Yamada, H., K. Ito, K. Tsuboki, T. Shinoda, T. Ohigashi, M. Yamaguchi, T. Nakazawa, N. Nagahama, and K. Shimizu, 2021: Dropsonde data for "The double warm-core structure ofTyphoon Lan (2017) as observed through the first Japaneseeyewall-penetrating aircraft reconnaissance". Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.16759906 (posted on 8 Oct. 2021)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2021-063

 

• Inoue, T., K. Rajendran, M. Satoh, and H. Miura, 2021: Dataset for "On the semidiurnal variation in surface rainfall rate over the tropics in a global cloud-resolving model simulation and satellite observations". Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.16616554 (posted on 7 Oct. 2021)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2021-066

 

• Roh, W., M. Satoh, and C. Hohenegger, 2021: Sample data for "Intercomparison of cloud properties in DYAMOND simulations over the Atlantic Ocean". Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.16707256 (posted on 21 Sep. 2021)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2021-070

 

• Cheng, C. T. and K. Suzuki, 2021: Size-resolved aerosol microphysics in a global nonhydrostatic atmospheric model: Model description and validation - Figure data. Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.14479557 (posted on 28 Apr. 2021)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2021-031

 

• Tamura, K. and T. Sato, 2021: Track data of mesocyclones around Hokkaido created by using numerical experiments. Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.14431202 (posted on 26 Apr. 2021)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2020-065

 

• Iwakiri, T. and M. Watanabe, 2021: Supplementary datasets for "Multiyear La Niña impact on summer temperature on Japan". Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.13636229 (posted on 27 Jan. 2021)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2020-064

 

• Voelger, P., and P. Dalin, 2021: A case study of a quasi-stationary, very long polar stratospheric cloud layer edge. Meteorological Society of Japan. Figure.
  https://doi.org/10.34474/data.jmsj.13488744 (posted on 13 Jan. 2021)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2021-025

 

• Yamashita, Y., M. Takigawa, D. Goto, H. Yashiro, M. Satoh, Y. Kanaya, F. Taketani, and T. Miyakawa, 2020: The model outputs of the Nonhydrostatic Icosahedral Atmospheric Model–Spectral Radiation Transport Model for Aerosol Species (NICAM-SPRINTARS). Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.13384538 (posted on 17 Dec. 2020)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2021-014

 

• Chandra, N., P. K. Patra, J. S. H. Bisht, A. Ito, T. Umezawa, S. Morimoto, S. Aoki, G. Janssens-Maenhout, R. Fujita, M. Takigawa, S. Watanabe, N. Saitoh, and J.G. Canadell, 2020: Emissions from the oil and gas sectors, coal mining and ruminant farming drive methane growth over the past three decades: Figure data. Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.13340723 (posted on 9 Dec. 2020)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2021-015

 

• Nakamura, Y., T. Miyakawa, and M. Satoh, 2020: Numerical simulations for Kanto-Tohoku heavy rainfall Event in Japan in September 2015. Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.13012892 (posted on 9 Oct. 2020)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2020-046

 

• Kodama C., Y. Yamada, A. T. Noda, K. Kikuchi, Y. Kajikawa, T. Nasuno, T. Tomita, T. Yamaura, H. G. Takahashi, H. Hara, Y. Kawatani, M. Satoh, and M. Sugi, 2020: Sample data of NICAM AMIP-type present-day climate simulation. Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.12807935 (posted on 19 Aug. 2020)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2015-024

 

• Satoh, M., Y. Yamada, M. Sugi, C. Kodama, and A. T. Noda, 2020: Tropical cyclone position and intensity in NICAM AMIP-type simulation. Meteorological Society of Japan. Dataset.
  https://doi.org/10.34474/data.jmsj.12599630 (posted on 7 Jul. 2020)
  Origical Manuscript: https://doi.org/10.2151/jmsj.2015-025