Paper
21 September 1992 Characterization of maritime scenarios
Tom B. Low, D. R. Hudak
Author Affiliations +
Abstract
Meteorological modules were developed to describe characteristic maritime scenarios in various oceanic areas for DREV complimentarity studies of shipboard defense. The best means of depicting the maritime atmospheric environment was found to be on the basis of air mass analysis. A methodology was developed whereby, through a mixture of man-machine objective analysis of upper air radiosonde measurements at the 850, 700, and 500 mb levels, typical airmasses could be identified. Characteristic scenarios were then defined based on physical considerations of air mass theory. Utilizing an extensive 10-year set of worldwide radiosonde, ozondesonde, and surface observations collected from a combination of land-based stations, oceanographic buoys, and weather ships, frequency and correlation statistics of various global and derived meteorological and oceanographic parameters were established for the CANLANT, NORLANT, WESTLANT, EASTLANT, IBERLANT, MARPAC regions, the ARCTIC OCEAN to 85 degree(s)N, the BALTIC SEA, MEDITERRANEAN SEA, PERSIAN GULF, RED SEA, GULF OF OMAN, and the INDIAN OCEAN. These descriptions included atmospheric profiles of pressure, temperature, dewpoint and relative humidity, wind speeds and direction, refractivity index, and ozone concentration from the surface to approximately 20 km., as well as associated surface visibility, clouds and weather, sea state, and duct height conditions. Many of the derived parameters were found to be a strong function of the defining airmass scenarios. The spatial distribution of these scenarios was also determined.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tom B. Low and D. R. Hudak "Characterization of maritime scenarios", Proc. SPIE 1687, Characterization, Propagation, and Simulation of Sources and Backgrounds II, (21 September 1992); https://doi.org/10.1117/12.137833
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KEYWORDS
Meteorology

Clouds

Statistical analysis

Visibility

Environmental sensing

Climatology

Atmospheric physics

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