@article{oai:nipr.repo.nii.ac.jp:00010208,
 author = {Ueda, Ami and Yamamoto, Masaru and Hirose, Naoki and Ueda, Ami and Yamamoto, Masaru and Hirose, Naoki},
 issue = {1},
 journal = {Polar science, Polar science},
 month = {Apr},
 note = {The eddy-resolving Japan Sea (East Sea) data assimilation affects the mid-level troposphere via vertical wind in the early stage of an explosively developing extratropical cyclone on 5-8 November 2006, and its influence further propagates toward the subpolar and polar regions. Two types of atmospheric responses (convective and gravity-wave patterns) to a sea surface temperature (SST) difference resulting from the ocean data assimilation are found in the early stage of the cyclone development over the western and central Japan Sea. A gravity-wave (convective) pattern appears when the near-surface atmosphere is stable (unstable). The atmospheric signals induced by the SST anomaly resulting from assimilation of the ocean circulation model are subject to advection and can deform with time owing to nonlinearity and instability. The differences in atmospheric and surface temperatures are widely and rapidly spread over the polar region by strong synoptic-scale cyclonic advection. On the other hand, the SST effects on vertical flow and precipitation are limited to narrow areas around the northern Japan Sea and the Pacific cold front in the fully developed stage. Such a developing cyclone is potentially important as a transporter of the meteorological influence over the Japan Sea toward the polar region., 2006年11月5～8日における日本海低気圧の急発達の初期では，渦解像海洋データ同化は鉛直風を介して対流圏中層に影響を与え，その影響は極域やその周辺まで広がる．低気圧発達初期に，日本海の西部および中央部で，データ同化で生じるSST偏差に対する２種類の大気応答が見られた．重力波パターン（対流パターン）は地表付近の大気が静的安定（不安定）な場合に見られる．海洋データ同化で生じる気温と地表温度の偏差は，総観規模の強い移流によって極域まで急激に広がる．他方，鉛直風や降水に与える影響は日本海北部や太平洋上の前線付近の狭い範囲に限られる．このような低気圧は日本海SST偏差の影響を極域へ運ぶ役割として潜在的に重要である。},
 pages = {1--10},
 title = {Meteorological influences of SST anomaly over the East Asian marginal sea on subpolar and polar regions: A case of an extratropical cyclone on 5-8 November 2006},
 volume = {5},
 year = {2011}
}