@article{oai:nipr.repo.nii.ac.jp:00010056,
 author = {Panteleev, Gleb and Luchin, Vladimir and Nezlin, Nikolay P. and Kikuchi, Takashi and Panteleev, Gleb and Luchin, Vladimir and Nezlin, Nikolay P. and Kikuchi, Takashi},
 issue = {3},
 journal = {Polar science, Polar science},
 month = {Sep},
 note = {Climatological fields of dissolved oxygen and phosphates in the Bering Sea during the spring, summer, and fall seasons were generated on the basis of an extensive dataset of hydrochemical observations (16,356 stations, beginning in 1928) and a novel 3D variational algorithm for interpolation of a passive ocean tracer. The resulting patterns comply with maps produced earlier using an optimal interpolation method, though they also provide more detail and contain no "missing data" regions. Vertical, spatial, and temporal variability of both parameters follow large-scale patterns of circulation, upper mixed layer depth, and phytoplankton productivity in the Bering Sea., ベーリング海における溶存酸素とリン酸塩の、春、夏、秋の季節場を水理化学的観測（1928年からの16356観測地点）データセットと、受動的海洋トレーサーの内挿に基づく革新的な3D変動アルゴリズムにより構築した。得られた変動パターンは従来の最適内挿法により生成された分布図と調和的である。今回の結果ではさらに、より詳細な分布が得られ、「データ欠損領域」は現れない。両パラメーターの鉛直、水平、時間変動はベーリング海の大規模循環、上部混合層、植物プランクトン生産性などのパターンに従っている。},
 pages = {214--232},
 title = {Seasonal climatologies of oxygen and phosphates in the Bering Sea reconstructed by variational data assimilation approach},
 volume = {7},
 year = {2013}
}