Smart Climatology Applications for Undersea Warfare
TL;DRAbstract
Undersea warfare operations especially sound navigation and ranging (SONAR) are sensitive to small changes in the ocean environment. Variations in both atmospheric and oceanic conditions on monthly to decadal scales can have significant impacts on U.S. Navy operations in the undersea environment. Climate databases presently used in U.S. Navy tactical decision aids (TDAs) are based on less than optimal data sets and long term mean (LTM) climatologies that are unable to represent climatic trends or variations. Thus existing Navy climatologies are likely to provide inadequate representations of the actual dynamic ocean environment. We have used the Naval Postgraduate School smart climatology process including state-of-the-science atmospheric and oceanic re-analysis data sets to create smart ocean climatologies. Comparisons of these climatologies with existing Navy climatologies based on the Generalized Digital Environmental Model (GDEM) reveal differences in sonic layer depth (SLD) and so
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Undersea warfare operations especially sound navigation and ranging (SONAR) are sensitive to small changes in the ocean environment. Variations in both atmospheric and oceanic conditions on monthly to decadal scales can have significant impacts on U.S. Navy operations in the undersea environment. Climate databases presently used in U.S. Navy tactical decision aids (TDAs) are based on less than optimal data sets and long term mean (LTM) climatologies that are unable to represent climatic trends or variations. Thus existing Navy climatologies are likely to provide inadequate representations of the actual dynamic ocean environment. We have used the Naval Postgraduate School smart climatology process including state-of-the-science atmospheric and oceanic re-analysis data sets to create smart ocean climatologies. Comparisons of these climatologies with existing Navy climatologies based on the Generalized Digital Environmental Model (GDEM) reveal differences in sonic layer depth (SLD) and so
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