Quantification of Lagrangian and Small Scale Processes
OLD DOMINION UNIV NORFOLK VA DEPT OF OCEANOGRAPHY
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The long term goal of our research is to quantify the dynamics of submesocale processes and their interactions with motions at larger scales. In particular, we are interested in using high resolution disparate HRD data sets to develop dynamically consistent nowcasts of a flow field, and in using HRD surface observations to infer subsurface flow conditions. We also recently completed the development of a method for using a particle-in-cell PIC model to parameterize submesoscale processes in regional scale models. Our research has two components, each with specific objectives Blending HRD data with numerical models - Our objective here is to develop dynamically consistent nowcasts to support Rapid Environmental Assessment REA, by combining the information in disparate data sets like HF radar, Lagrangian observations, passive remote sensing and ADCP data with open boundary flow information from a numerical model. Information from this type of nowcast may then be used to infer some features of the subsurface flow field. Nowcast results may also be assimilated into a numerical model. PIC ocean model. Our objective here, completed during this performance period, was to develop a PIC model for two active layers, capable of resolving the location and evolution of fronts in coastal and estuarine regimes. The PIC model results can be used to parameterize these features in regional scale models. The model was developed to run on massively parallel processor MPP architectures.
- Numerical Mathematics