DocumentCode
1763037
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
Volume
20
Issue
3
fYear
2013
fDate
Sept. 2013
Firstpage
42
Lastpage
49
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;
fLanguage
English
Journal_Title
Robotics & Automation Magazine, IEEE
Publisher
ieee
ISSN
1070-9932
Type
jour
DOI
10.1109/MRA.2012.2220505
Filename
6529135
Link To Document