Title :
Under the Sea: Rapid Characterization of Restricted Marine Environments
Author :
Alvarez, Alfredo ; Chiggiato, J. ; Mourre, B.
Author_Institution :
NATO Centre for Maritime Res. & Experimentation, La Spezia, Italy
Abstract :
In crisis situations, military operating units require a rapid evaluation of the local meteorological and oceanographic (METOC) conditions affecting their missions. An important role of military oceanography (MILOC) is thus to provide a timely METOC characterization of denied littoral areas [1]. Environmental sampling procedures in MILOC must be easily relocatable, discreet, and secure. Until recently, marine sampling technologies meeting these requirements were scarce. Remote sensing is the technology mostly used by navies to assess environmental conditions in restricted areas [2]. Very-near-shore bathymetry, sea state, surface currents, ocean color, and sea surface temperature (SST) are among the pieces of environmental information that can be obtained by means of remote sensors. Although valuable, this information is not sufficient to fully assess the three-dimensional (3-D) variability of the environment. Numerical approaches that simulate the ocean dynamics may provide additional information on the environmental conditions. In the coastal regions, numerical ocean models of different spatiotemporal resolutions are generally nested to downscale METOC information to the region of interest [3]. Numerical procedures used to feed back dynamical information between the models with different resolutions inevitably introduce errors in this nesting process. In addition, at present, the uncertainties in physical parameterizations, forcing, and model initialization limit the accuracy of model forecasts.
Keywords :
autonomous underwater vehicles; bathymetry; geophysics computing; marine engineering; military computing; ocean temperature; oceanographic techniques; remote sensing; sampling methods; spatiotemporal phenomena; METOC characterization; MILOC; coastal regions; dynamical information; environmental information; environmental sampling procedure; local meteorological and oceanographic conditions; marine sampling technologies; military oceanography; military operating units; model forecast accuracy; numerical ocean model; ocean color; ocean dynamic simulation; physical parameterization; remote sensing; remote sensors; restricted marine environments; sea state; sea surface temperature; spatiotemporal resolution; surface currents; three-dimensional variability assessment; very-near-shore bathymetry; Mathematical model; Mobile robots; Ocean temperature; Oceanography; Remote sensing; Sea measurements; Sea surface; Underwater vehicles;
Journal_Title :
Robotics & Automation Magazine, IEEE
DOI :
10.1109/MRA.2012.2220505