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The most viewed articles in July 2019

The number of Times Accessed in July 2019.

• Bessho, K., K. Date, M. Hayashi, A. Ikeda, T. Imai, H. Inoue, Y. Kumagai, T. Miyakawa, H. Murata, T. Ohno, A. Okuyama, R. Oyama, Y. Sasaki, Y. Shimazu, K. Shimoji, Y. Sumida, M. Suzuki, H. Taniguchi, H. Tsuchiyama, D. Uesawa, H. Yokota, and R. Yoshida, 2016: An introduction to Himawari-8/9 - Japan's new-generation geostationary meteorological satellites.J. Meteor. Soc. Japan, 94, 151-183.
  https://doi.org/10.2151/jmsj.2016-009   Graphical Abstract

  Times Accessed : 191

• Kobayashi, S., Y. Ota, Y. Harada, A. Ebita, M. Moriya, H. Onoda, K. Onogi, H. Kamahori, C. Kobayashi, H. Endo, K. Miyaoka, and K. Takahashi, 2015: The JRA-55 Reanalysis: General specifications and basic characteristics. J. Meteor. Soc. Japan, 93, 5-48.
  https://doi.org/10.2151/jmsj.2015-001   Graphical Abstract

  Times Accessed : 189

• Watanabe, S., M. Fujita, S. Kawazoe, S. Sugimoto, Y. Okada, R. Mizuta, and M. Ishii, 2019: Frequency change of clear-air turbulence over the North Pacific under 2 K global warming - Ensemble projections using a 60-km atmospheric general circulation model. J. Meteor. Soc. Japan, 97, 757-771.
  https://doi.org/10.2151/jmsj.2019-038   Graphical Abstract

  Times Accessed : 107

• Tauvale, L., and K. Tsuboki, 2019: Characteristics of tropical cyclones in the Southwest Pacific. J. Meteor. Soc. Japan, 97, 711-731.
  https://doi.org/10.2151/jmsj.2019-042   Graphical Abstract

  Times Accessed : 71

• Yukimoto, S., Y. Adachi, M. Hosaka, T. Sakami, H. Yoshimura, M. Hirabara, T. Y. Tanaka, E. Shindo, H. Tsujino, M. Deushi, R. Mizuta, S. Yabu, A. Obata, H. Nakano, T. Koshiro, T. Ose, and A. Kitoh, 2012: A New Global Climate Model of the Meteorological Research Institute: MRI-CGCM3-Model Description and Basic Performance. J. Meteor. Soc. Japan, 90A, 23-64.
  https://doi.org/10.2151/jmsj.2012-A02

  Times Accessed : 67

• Hirose, H., S. Shige, M. K. Yamamoto, and A. Higuchi, 2019: High temporal rainfall estimations from Himawari-8 multiband observations using the random-forest machine-learning method. J. Meteor. Soc. Japan, 97, 689-710.
  https://doi.org/10.2151/jmsj.2019-040   Graphical Abstract

  Times Accessed : 61

• Shoji Y.,2016: Retrieval of water vapor inhomogeneity using the Japanese nationwide GPS array and its potential for prediction of convective precipitation J. Meteor. Soc. Japan, 91, 43-62.
  https://doi.org/10.2151/jmsj.2013-103  

  Times Accessed : 58

• Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H. Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo, R. Mizuta, A. Obata, Y. Adachi, and M. Ishii, 2019: The Meteorological Research Institute Earth System Model version 2.0, MRI-ESM2.0: Description and basic evaluation of the physical component. J. Meteor. Soc. Japan, 97, 931-965.
  https://doi.org/10.2151/jmsj.2019-051   Graphical Abstract

  Times Accessed : 58

• Mashiko, W., 2019: A statistical study of wind gusts in Japan using surface observations. J. Meteor. Soc. Japan, 97, 39-54.
  https://doi.org/10.2151/jmsj.2019-001   Graphical Abstract

  Times Accessed : 56

• Miyakawa, T., and H. Miura, 2019: Resolution dependencies of tropical convection in a global cloud/cloud-system resolving model. J. Meteor. Soc. Japan, 97, 745-756.
  https://doi.org/10.2151/jmsj.2019-034   Graphical Abstract

  Times Accessed : 48