Data Assimilation
Ocean data assimilation is an essential component of ocean modeling, and is recognized as a valuable and indispensable tool for obtaining seamless estimates of the ocean circulation. However, data assimilation is a technically and computationally challenging problem, and the development of state-of-the-art data assimilation systems requires substantial effort and commitment of resources. The increasingly available ocean observations are appropriate for establishing data assimilation (DA) approaches, a series of mathematical techniques of growing complexity in which observational data are dynamically combined with numerical models in order to obtain the best approximation of the ocean state.
Data Assimilative Ocean Forecasting System
Andaman Sea
The use of complex DA approaches provide better results with respect to those obtained by using only the numerical model or by analyzing the observational data alone. The key point about DA techniques is that oceanic observations are sparse and numerical models are limited in accuracy; but if taken together, they may yield a quantitative better description of the ocean state that is superior to either models or data alone. Combining a state-of-the-art numerical ocean model with a variety of traditional and newly available observations, we generate a high-resolution ocean state estimate of the cyclonic eddy in AS region over a June 2016 shown in the figure
Schematic showing the Cyclonic eddy in the AS using the mean Oscar currents from may 30 to 3 June 2016 (study period).