このアイテムのアクセス数: 130
このアイテムのファイル:
ファイル | 記述 | サイズ | フォーマット | |
---|---|---|---|---|
jmsj.2016-001.pdf | 2.96 MB | Adobe PDF | 見る/開く |
タイトル: | Predictability changes of stratospheric circulations in northern hemisphere winter |
著者: | Ichimaru, Tomoko Noguchi, Shunsuke Hirooka, Toshihiko Mukougawa, Hitoshi ![]() ![]() ![]() |
著者名の別形: | 野口, 峻佑 向川, 均 |
キーワード: | predictability stratospheric sudden warming stratospheric circulation |
発行日: | 1-Jan-2016 |
出版者: | Meteorological Society of Japan |
誌名: | Journal of the Meteorological Society of Japan |
巻: | 94 |
号: | 1 |
開始ページ: | 7 |
終了ページ: | 24 |
抄録: | Practical predictability of the stratospheric circulation in the boreal winters during the period 2001–2006 has been examined using the archive of 1-month ensemble forecast datasets provided by the Japan Meteorological Agency. To investigate the predictability limit, two measures of the Root-Mean-Square Error (RMSE) and Anomaly Correlation (AC) have been used for the 10-hPa geopotential height field. In the winter stratosphere, an intermittent character of planetary wave activity causes two specific periods of the stratospheric circulation, i.e., an undisturbed phase with inactive planetary waves and a disturbed phase with active ones. Therefore, the predictability needs to be evaluated taking account of this feature. On the basis of careful consideration, the mean predictable period can be estimated to about 10 days during the disturbed phase; it is longer than the tropospheric predictable period of about 7 days. However, it exhibits large variability because of different growth rates of forecast errors caused by contributions of both wave and zonal-mean fields. During the undisturbed phase, the predictable period based on the AC is almost the same as that of the disturbed phase, although the predictable period based on the RMSE is extremely long, since the RMSE predictability is measured against the climatological standard deviation affected by disturbed phases. Therefore, the horizontal pattern of the stratospheric circulation is less predictable even though the forecast error is quite small. |
著作権等: | © 2016, Meteorological Society of Japan. |
URI: | http://hdl.handle.net/2433/229436 |
DOI(出版社版): | 10.2151/jmsj.2016-001 |
出現コレクション: | 学術雑誌掲載論文等 |

このリポジトリに保管されているアイテムはすべて著作権により保護されています。