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On March 30, 2023, a research article authored by Associate Professor Atsushi Manda of the Laboratory for Future Ocean Prediction, Division of Earth and Environmental Sciences, Department of Sustainable Resource Sciences, Graduate School of Bioresources, Mie University, was recognized as a WILEY Top Downloaded Article 2021.
The paper, published in Geophysical Research Letters, a journal of the American Geophysical Union (AGU), presents the results of a collaborative study conducted with the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) and was originally published in 2021.
The Top Downloaded Article distinction is awarded by WILEY, one of the world's leading academic publishers, to articles that achieved the highest number of downloads during the year.
Published Article
Authors
Zhao, N., Manda, A., Guo, X., Kikuchi, K., Nasuno, T., Nakano, M., et al. (2021).
Title of the Article
A Lagrangian view of moisture transport related to the heavy rainfall of July 2020 in Japan: Importance of the moistening over the subtropical regions. Geophysical Research Letters, 48, e2020GL091441.
DOI
https://doi.org/10.1029/2020GL091441
Atmospheric Moisture Budget during the July 2020 Heavy Rain Event © 2023 American Geophysical Union
Creative Commons Attribution 4.0 International License (CC BY 4.0)
Research Overview
his study investigated the origins of atmospheric moisture associated with the July 2020 heavy rainfall event in Japan using numerical simulations. The results revealed that more than half of the large amount of moisture transported from the tropics was consumed through precipitation before reaching the Japanese archipelago. The study also highlighted the importance of evaporation and convective activity over the subtropical western Pacific Ocean in moistening the middle troposphere.
Identifying the sources of moisture that contribute to heavy rainfall over Japan is a key challenge for understanding how extreme precipitation events may change under a changing climate. The findings of this study provide important insights that can help reduce uncertainties in future projections of heavy rainfall.
Written by Associate Professor Atsushi Manda.