4DVAR data assimilation in the Intra-Americas Sea with the Regional Ocean Modeling System (ROMS) |
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| Authors: | B.S. Powell H.G. Arango A.M. Moore E. Di Lorenzo R.F. Milliff D. Foley |
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| Affiliation: | 1. University of Southern Mississippi, School of Ocean Sciences and Technology, Division of Marine Science, MS, USA;2. Naval Research Laboratory, Ocean Dynamics and Prediction, MS, USA;3. University of New Orleans, Department of Physics, LA, USA;1. Met Office, Fitzroy Road, Exeter, UK;2. Center for Ocean-Atmospheric Prediction Studies (COAPS), Florida State University, Tallahassee, USA;3. Imperial College London, Department of Physics, Space & Atmospheric Physics Group, London, UK;4. Department of Meteorology, University of Reading, Reading, UK;5. NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, USA;6. Scripps Institute of Oceanography, University of California, San Diego, La Jolla, California, USA;7. National Oceanography Centre, Southampton, UK |
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| Abstract: | We present the background, development, and preparation of a state-of-the-art 4D variational (4DVAR) data assimilation system in the Regional Ocean Modeling System (ROMS) with an application in the Intra-Americas Sea (IAS). This initial application with a coarse model shows the efficacy of the 4DVAR methodology for use within complex ocean environments, and serves as preparation for deploying an operational, real-time assimilation system onboard the Royal Caribbean Cruise Lines ship Explorer of the Seas. Assimilating satellite sea surface height and temperature observations with in situ data from the ship in 14 day cycles over 2 years from January 2005 through March 2007, reduces the observation-model misfit by over 75%. Using measures of the Loop Current dynamics, we show that the assimilated solution is consistent with observed statistics. |
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| Keywords: | Data assimilation 4DVAR ROMS Predictability Intra-Americas Sea Gulf of Mexico |
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