Seasonal climatologies of oxygen and phosphates in the Bering Sea reconstructed by variational data assimilation approach |
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| Authors: | Gleb Panteleev Vladimir Luchin Nikolay P. Nezlin Takashi Kikuchi |
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| Affiliation: | 1. International Arctic Research Center, PO Box 757340, University of Alaska Fairbanks, Fairbanks, AK 99775, USA;2. Pacific Oceanological Institute, Far Eastern Branch, Russian Academy of Sciences, Vladivostok, Russia;3. Southern California Coastal Water Research Project, CA 92626, USA;4. Japan Agency for Marine-Earth Science and Technology, 3173-25, Showa-machi, Kanazawa-ku, Yokohama, Kanagawa 236-0001, Japan |
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| Abstract: | 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. |
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| Keywords: | Phosphate and oxygen Data assimilation Optimization Bering Sea |
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