The Application of the Empirical Mode Decomposition and Hilbert Spectral Analysis to Field Data and Future Experimental Designs
NATIONAL AERONAUTICS AND SPACE ADMINISTRATION GREENBELT MD GODDARD SPACE FLIGHT CENTER
Pagination or Media Count:
LONG-TERM GOAL. My long term goal is to contribute to our understanding of the dynamics of physical ocean phenomena through detailed examination of the field data. Of particular interest to us is to learn from the field data analysis so that we can design future field experiments more effectively based on the past data. OBJECTIVES. Field data are all nonstationary, and ocean phenomena are most generated by nonlinear processes. To understanding this, we cannot use methods developed based on the linear and stationary assumptions. Our objectives here are to extract the characteristic time scales from field data to define the dynamics of the phenomena, so that we can separate the tidal components from the coastal field current data study the coupling of the wind and current fields calculate the statistics of the data for validation of model results explore the utilization of the method to other coastal applications and develop the method as a tool for design future field experiments. APPROACH. The tasks of this study are primarily on the data analysis methodology development. Once the methodology is developed, we will use the method to extract the characteristic time scales from field data to define the dynamics of the phenomena. In this step, we will separate the tidal scale from the non-stationary meteorological cycles. In this se-tided data set, we will study the coupling of the wind and current fields to establish the generation and relaxation of the wind induced current field. Then we will calculate the statistics of the data for validation of model results, and to explore the utilization of the method to other coastal applications. Finally, we will use the sum of this knowledge to define a methodology for future field experimental design based on limited data sets.
- Physical and Dynamic Oceanography