Analysis Systems for the Mesoscale Thermal Variability in the Greenland- Iceland-Norwegian Sea

Mesoscale thermal structure and its spatial variability are very significant for acoustic propagation in the ocean. Therefore ocean thermal analysis procedures are important for the initialisation and verification of environmental and acoustical models. This study involved the implementation of soft...

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Bibliographic Details
Main Authors: Grillaki-Steiert, D., Amoroso, V.
Other Authors: SACLANT ASW RESEARCH CENTRE LA SPEZIA (ITALY)
Format: Text
Language:English
Published: 1988
Subjects:
Physical and Dynamic Oceanography
*OCEAN MODELS
*UNDERWATER ACOUSTICS
*SOUND TRANSMISSION
SPATIAL DISTRIBUTION
TEMPERATURE
MODELS
VARIATIONS
PROFILES
THERMAL ANALYSIS
INTERPOLATION
HIGH DENSITY
GRAPHICS
ITALY
MATHEMATICS
OCEANS
CLIMATOLOGY
OCEAN ENVIRONMENTS
NORWEGIAN SEA
GREENLAND SEA
OCEANOGRAPHY
EXTRAPOLATION
CONTOURS
DATA BASES
ICELAND
THERMAL PROPERTIES
COMPUTER PROGRAMS
LEVITUS CLIMATOLOGY
GAUSS MARKOV PROCESSES
ACOUSTIC PROPAGATION
GAUSS MARKOV THEOREM
GREENLAND ICELAND NORWEGIAN SEA
MODELLING
THERMAL VARIABILITY
FOREIGN REPORTS
Greenland
Norwegian Sea
Greenland Sea
Iceland
Online Access:http://www.dtic.mil/docs/citations/ADA199977
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA199977
Description
Summary:Mesoscale thermal structure and its spatial variability are very significant for acoustic propagation in the ocean. Therefore ocean thermal analysis procedures are important for the initialisation and verification of environmental and acoustical models. This study involved the implementation of software, and the production, from irregularly-spaced data, of uniformly-gridded temperature fields for use by numerical acoustical and environmental models. The two analyses, considered for the production of temperature fields are: (1) an objective analysis method based on the Gauss-Markov Theorem which makes use of additional information such as climatology (the Levitus climatology has been used in this study), and (2) an interpolation method based on contouring techniques provided by the UNIRAS graphics package. Both methods agree well when there is a high density of data. When the data availability is limited, there is a danger that the objective analysis method can give rise to spurious gradients in going from the regime dominated by data to that dominated by climatology. Whether this is less desirable than a field based on extrapolation from a few observational data points depends on the application. Original contains color plates: All DTIC and NTIS reproductions will be in black and white.

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