Predictability of Heavy Snowfall Days in Western Hokkaido from JMA Operational 1-Month Ensemble Predictions Using Self-Organizing Maps
Author:
Affiliation:
1. Faculty of Science, Hokkaido University
2. Center for Natural Hazards Research, Hokkaido University
Publisher
Meteorological Society of Japan
Subject
Atmospheric Science
Link
https://www.jstage.jst.go.jp/article/sola/18/0/18_2022-024/_pdf
Reference23 articles.
1. Brunet, G., and co-authors, 2010: Collaboration of the weather and climate communities to advance subseasonal-to-seasonal prediction. Bull. Amer. Meteor. Soc., 91, 1397-1406.
2. Fujita, M., T. Sato, T. J. Yamada, S. Kawazoe, M. Nakano, and K. Ito, 2019: Analyses of extreme precipitation associated with the Kinugawa River flood in September 2015 using a large ensemble downscaling experiment. J. Meteor. Soc. Japan, 97, 387-401.
3. Inatsu, M., S. Kawazoe, and M. Mori, 2021: Trends and projection of heavy snowfall in Hokkaido, Japan, as an application of self-organizing map. J. Appl. Meteor. Climatol., 60, 1483-1494.
4. Itoh, H., and M. Kimoto, 1996: Multiple attractors and chaotic itinerancy in a quasigeostrophic model with realistic topography: Implications for weather regimes and low-frequency variability. J. Atmos. Sci., 53, 2217-2231.
5. Kaneda, Y., Y. Nagata, K. Tanji, N. Matsuoka, and T. Ozeki, 2012: Overview and meteorological features of the extreme snowfall around Iwamizawa, Hokkaido during the 2011-2012 winter. Annual Report on Snow and Ice Studies in Hokkaido, 31, 115-118 (in Japanese).
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