Most Cited Articles

The list of top cited articles is from Clarivate Analytics's Web of Knowledge.
Last updated: January 29, 2020

Most Cited Articles from 2017 to 2018 (cited in 2019):

  1. Cifelli, R., V. Chandrasekar, H. Chen, and L. E. Johnson, 2018: High resolution radar quantitative precipitation estimation in the San Francisco Bay Area: Rainfall monitoring for the urban environment. J. Meteor. Soc. Japan, 96A, 141-155.
    https://doi.org/10.2151/jmsj.2018-016Graphical Abstract

    Times Cited: 16

  2. Yoshida, M., M. Kikuchi, T. M. Nagao, H. Murakami, T. Nomaki, and A. Higurashi, 2018: Common retrieval of aerosol properties for imaging satellite sensors. J. Meteor. Soc. Japan, 96B, 193-209.
    https://doi.org/10.2151/jmsj.2018-039Graphical Abstract

    Times Cited: 14

  3. Chandrasekar, V., H. Chen, and B. Philips, 2018: Principles of high-resolution radar network for hazard mitigation and disaster management in an urban environment. J. Meteor. Soc. Japan, 96A, 119-139.
    https://doi.org/10.2151/jmsj.2018-015Graphical Abstract

    Times Cited : 9

  4. Kitoh, A., 2017: The Asian monsoon and its future change in climate models: A review. J. Meteor. Soc. Japan, 95, 7-33.
    https://doi.org/10.2151/jmsj.2017-002Graphical Abstract

    Times Cited : 9

  5. Kamae, Y., W. Mei, and S.-P. Xie, 2017: Climatological relationship between warm season atmospheric rivers and heavy rainfall over East Asia. J. Meteor. Soc. Japan, 95, 411-431.
    https://doi.org/10.2151/jmsj.2017-027Graphical Abstract

    Times Cited : 8

  6. Iwabuchi, H., N. S. Putri, M. Saito, Y. Tokoro, M. Sekiguchi, P. Yang, and B. A. Baum, 2018: Cloud property retrieval from multiband infrared measurements by Himawari-8. J. Meteor. Soc. Japan, 96B, 27-42.
    https://doi.org/10.2151/jmsj.2018-001Graphical Abstract

    Times Cited : 5

  7. Okada, Y., T. Takemi, H. Ishikawa, S. Kusunoki, and R. Mizuta, 2017: Future changes in atmospheric conditions for the seasonal evolution of the Baiu as revealed from projected AGCM experiments. J. Meteor. Soc. Japan, 95, 239-260.
    https://doi.org/10.2151/jmsj.2017-013Graphical Abstract

    Times Cited : 4

  8. Sekiyama, T. T., M. Kajino, and M. Kunii, 2017: The impact of surface wind data assimilation on the predictability of near-surface plume advection in the case of the Fukushima nuclear accident. J. Meteor. Soc. Japan, 95, 447-454.
    https://doi.org/10.2151/jmsj.2017-025Graphical Abstract

    Times Cited : 4

  9. Terasaki, K., and T. Miyoshi, 2017: Assimilating AMSU-A radiances with the NICAM-LETKF. J. Meteor. Soc. Japan, 95, 433-446.
    https://doi.org/10.2151/jmsj.2017-028Graphical Abstract

    Times Cited : 4

  10. Yumimoto, K., T. Y. Tanaka, M. Yoshida, M. Kikuchi, T. M. Nagao, H. Murakami, and T. Maki, 2018: Assimilation and forecasting experiment for heavy Siberian wildfire smoke in May 2016 with Himawari-8 aerosol optical thickness. J. Meteor. Soc. Japan, 96B, 133-149.
    https://doi.org/10.2151/jmsj.2018-035Graphical Abstract

    Times Cited : 4

 

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