Our long-range goal is to develop optimization methods: 1) to estimate the physical state of the ocean in order to understand the present and future conditions and associated variability/uncertainty, and 2) to utilize such forecast information for control-decisions such as optimal drifter deployment strategy. This is being accomplished through the use of data assimilation methods for ocean cir­...

To create and demonstrate a reactive survey system, capable of long-term unattended deployments in harsh environments. We refer to such a system as an Autonomous Ocean Sampling Network (AOSN). The goal of the Utility Acoustic Modem effort is to develop a low-power hardware platform and a robust signaling strategy for data communications between components such as robotic vehicles, moorings, or ...

A three dimensional ocean circulation model (Princeton Ocean Model) is utilised to study the thermohaline variability of the eastern Arabian Sea associated with changes in the three input bathymetry data sets, viz. ETOPO5 (E5), Modified ETOPO5 (ME5) and ME5 further modified based on actual fine resolution data collected using Multibeam echo-sounder (MEN5). The temperature and salinity measureme...

Wind, wave and current interactions control the boundary fluxes, momentum and energy exchange between the atmosphere and the ocean, and within the water column. The wind wave effect on surface stress is investigated using a three-dimensional time-dependant ocean circulation model. The POM (Princeton Ocean Model) based model is implemented with realistic coastlines in South China Sea and emphasi...

[1] Iron fertilization of macronutrient-rich but biologically unproductive ocean waters has been proposed for sequestering anthropogenic carbon dioxide (CO2). The first carbon export measurements in the Southern Ocean (SO) during the recent SO-Iron Experiment (SOFeX) yielded 900 t C exported per 1.26 t Fe added. This allows the first realistic, data-based feasibility assessment of large-scale i...

Establishing a persistent presence in the ocean with an AUV to observe temporal variability of large-scale ocean processes requires a unique sensor platform. In this paper, we propose a strategy that utilizes ocean model predictions to increase the autonomy and control of Lagrangian or profiling floats for precisely this purpose. An A* planner is applied to a local controllability map generated...