Enhanced Ocean Predictability Through Optimal Observing Strategies
DELAWARE UNIV LEWES COLL OF MARINE STUDIES
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The long-term goals of this research are to develop the requisite technology to design effective observation strategies that will maximize the capacity to predict mesoscale and submesoscale conditions so as to understand the physical processes responsible for these conditions and to provide the best possible now-casts and forecasts of oceanic conditions. There are three tightly integrated objectives. The first is to focus both oceanographic and dynamical systems approaches on developing optimal observing strategies. The common thread linking both approaches is Lagrangian analysis, and so this phase of the work addresses the question of how best to utilize Eulerian current maps constructed from disparate data and how to use the information contained therein to design optimal observing systems. The second objective will be to design an optimal observing strategy from a synthetic database. Here we will use primitive equation model simulations as the control. The last objective will be to apply this technology to the Gulf of Mexico where both high-resolution numerical model results and drifter data are available.
- Physical and Dynamic Oceanography
- Numerical Mathematics
- Statistics and Probability