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Model initialization in a tidally energetic regime: A dynamically adjusted objective analysis
Authors:Alfredo L Aretxabaleta  Keston W Smith  Dennis J McGillicuddy  Joaquim Ballabrera-Poy
Institution:1. Institut de Ciències del Mar – CSIC, Barcelona, Spain;2. Woods Hole Oceanographic Institution, Woods Hole, MA, USA;3. Unidad de Tecnología Marina – CSIC, Barcelona, Spain;1. Marine Biomedicine and Environmental Sciences Center, MUSC, 331 Fort Johnson Rd, Charleston, SC 29412, USA;2. Hollings Marine Laboratory, 331 Fort Johnson Rd, Charleston, SC 29412, USA;3. Center for Coastal Studies, Texas A&M University Corpus Christi, 6300 Ocean Dr, Corpus Christi, TX 78412, USA;4. JHT in support of the Hollings Marine Laboratory, NOAA, 331 Fort Johnson Rd, Charleston, SC 29412, USA;5. NOAA National Ocean Service, National Centers for Coastal Ocean Science, 331 Fort Johnson Rd, Charleston, SC 29412, USA;1. NOAA, National Ocean Service, National Centers for Coastal Ocean Science, United States;2. Earth Resources Technology Incorporated, Contractor to NOAA, National Marine Fisheries Service, Restoration Center, United States;1. College of Marine Science, University of South Florida, 140 Seventh Ave. S., St. Petersburg, FL, 33701, USA;2. Department of Biological Sciences, University of South Florida St. Petersburg, 140 Seventh Ave. S., St. Petersburg, FL, 33701, USA;3. College of The Arts, University of South Florida, 4202 E. Fowler Ave., Tampa, FL, 33620, USA;1. NOAA Center for Coastal Environmental Health and Biomolecular Research, Charleston, SC, USA;2. Marine Biomedicine and Environmental Sciences Program, Medical University of South Carolina, Charleston, SC, USA;3. Department of Medicine, Division of Nephrology, Medical University of South Carolina, Charleston, SC, USA
Abstract:A simple improvement to objective analysis of hydrographic data is proposed to eliminate spatial aliasing effects in tidally energetic regions. The proposed method consists of the evaluation of anomalies from observations with respect to circulation model fields. The procedure is run iteratively to achieve convergence. The method is applied in the Bay of Fundy and compared with traditional objective analysis procedures and dynamically adjusted climatological fields. The hydrographic skill (difference between observed and model temperature and salinity) of the dynamically adjusted objective analysis is significantly improved by reducing bias and correcting the vertical structure. Representation of the observed velocities is also improved. The resulting flow is consistent with the known circulation in the Bay.
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