Satellite data assimilation for improvement of Naval undersea capability
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Authors
Perry, Michael D.
Gottshall, Eric L.
Cwalina, David S.
Chu, Peter C.
Subjects
Advisors
Date of Issue
2004
Date
Spring 2004
Publisher
Language
Abstract
Impact of satellite data assimilation on naval undersea capability is investigated
using ocean hydrographic products without and with satellite data assimilation. The
former is the Navy’s Global Digital Environmental Model (GDEM), providing a monthly
mean; the latter is the Modular Ocean Data Assimilation System (MODAS) providing
synoptic analyses based upon satellite data. The two environmental datasets are taken
as the input into the Weapon Acoustic Preset Program to determine the suggested
presets for an Mk 48 torpedo. The acoustic coverage area generated by the program
will be used as the metric to compare the two sets of outputs. The output presets
were created for two different scenarios, an anti-surface warfare (ASUW) and an
anti-submarine warfare (ASW); and three different depth bands, shallow, mid, and
deep. After analyzing the output, it became clear that there was a great difference in
the presets for the shallow depth band, and that as depth increased, the difference
between the presets decreased. Therefore, the MODAS product, and in turn the satellite
data assimilation, had greatest impact in the shallow depth band. The ASW
presets also seemed to be slightly less sensitive to differences than did presets in
the ASUW scenario.
Type
Article
Description
Marine Technology Society Journal, 38 (1), 11-23.
Series/Report No
Department
Oceanography
Organization
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NPS Report Number
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Format
Citation
Chu, P.C., M. D. Perry, E.L. Gottshall, and D.S. Cwalina, 2004: Satellite data assimilation for improvement of Naval undersea capability. Marine Technology Society Journal, 38 (1), 11-23.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.