Physical and biological modeling in the Gulf Stream region:: I. Data assimilation methodology |
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| Affiliation: | 1. Ecological Modelling Laboratory, Department of Physical & Environmental Sciences, University of Toronto, Toronto, Ontario, M1C 1A4, Canada;2. Aquatic Ecosystem Management Research Division, Water Science and Technology Directorate, Science and Technology Branch, National Water Research Institute, Environment Canada, Burlington, Ontario, L7R 4A6, Canada;3. Great Lakes Unit, Water Monitoring & Reporting Section, Ontario Ministry of the Environment, Environmental Monitoring and Reporting Branch, Toronto, Ontario, M9P 3V6, Canada;1. Royal Military College of Canada, Physics, POB 17000, STN FORCES, Kingston, ON K7K 7B4, Canada;2. Canada Centre for Inland Waters, Environment and Climate Change Canada, 867 Lakeshore Road, Burlington, ON L7R 4A6, Canada |
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| Abstract: | Physical and biological data are assimilated into a time-evolving, mesoscale-resolution three-dimensional (3-D) ocean model using optimal interpolation. Simulations are conducted in the Gulf Stream region during the BIOSYNOP/Anatomy of a Meander Experiment in September–October of 1988. Physical data assimilation only or biological data assimilation only resulted in misalignment of the physical and biological fronts, causing spurious cross-frontal fluxes of biological quantities. Assimilation of both physical and compatible biological fields was necessary for adequate equilibration of the simulated fields. The resulting combined 4-D fields substantially extend the value of the observations alone. A technique is presented for deriving the necessary, dynamically consistent 3-D physical and biological field estimates from data for initialization and assimilation into time-evolving model simulations. |
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