著者
Udai Shimada Munehiko Yamaguchi Shuuji Nishimura
出版者
Meteorological Society of Japan
雑誌
SOLA (ISSN:13496476)
巻号頁・発行日
vol.16, pp.1-5, 2020 (Released:2020-01-28)
参考文献数
42
被引用文献数
6 8

Japan Meteorological Agency (JMA) best track data indicate that the number of rapid intensification (RI) tropical cyclone events in the western North Pacific increased from 1987 to 2018. To clarify whether this increase is due to climatological changes or qualitative changes in the data, the long-term trend of RI events in JMA operational Dvorak data, which have been used as the first guess for best track analysis, was investigated. Because the JMA Dvorak analysis procedure has remained almost unchanged since 1987, the temporal homogeneity of the Dvorak data is expected to be much better than that of the best track data. The results showed no discernable trend in Dvorak-based RI events over the 32 years. Although the frequency distribution of 24-h intensity changes changed slightly in the Dvorak analysis, that of the best track data changed significantly; as a result, the frequency of best track-based RI events increased after 2006. JMA started using microwave satellite imagery for best track analysis in 2006. This change likely affected the temporal homogeneity of the best track data. These results suggest that the increase in best track-based RI events was due mainly to qualitative changes related to advances in observational techniques.

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@STY1330 ありがとうございます。そんなところまで見ていただいているとは・・・。急発達率をCI数で見ると、2000年代中盤前後でそれほど変わらない件については嶋田さんのご研究が。 https://t.co/6Qd6WKWX6x
JMA, the meteorological department in Japan, decided to use the Dvorak dataset alone to see if TCs have become more likely to rapidly intensify. The answer is no, and advances in observational techniques are said to have affected best track data. (10/n) https://t.co/JtAInwbTQx
SOLA New paper: Shimada et al., Is the Number of Tropical Cyclone Rapid Intensification Events in the Western North Pacific Increasing?, SOLA, 2020, VOL.16, 1-5, doi:10.2151/sola.2020-001, https://t.co/09LVE4gSpE https://t.co/dpAws2anEW

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