Journal of the Meteorological Society of Japan (JMSJ) is an international, peer-reviewed, and open-access journal for the publication of research in areas of meteorology.
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Most Cited and Accessed Articles in 2020
Most Cited (2020 summary) have been announced (22 Jan, 2021).
- Most Cited top 50th since 1968
- Most Cited top 50th since 2000
- Most Cited top 11th in 2020 for 2018 and 2019 ariticles
Most Accessed (2020 summary) have been announced (23 Jan, 2021).
- Most Accessed in 2020
- Yu, T., V. Chandrasekar, H. Xiao, and S. S. Joshil, 2021: Snowfall estimation using dual-wavelength radar during the PyeongChang 2018 Olympics and Paralympic winter games. J. Meteor. Soc. Japan, 99, 67-77.
Special Edition on Global Precipitation Measurement (GPM): 5th Anniversary,
This paper aims to develop S-Z and S-Z-DFR relationships for snow estimation using D3R radar in a coastal area. The velocity and diameter measured by the disdrometer is used to derive the snow density directly. Evaluation of the two snow estimation methods is performed at three sites (YPO, CPO, and DGW), and the results show that the radar snowfall estimation agrees well with the ground observations at the three sites and S-Z-DFR algorithm performs better compared with S-Z algorithm.