MLD-modified synthetic ocean profiles

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Mechanical measurement system

Reexamination Certificate

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Reexamination Certificate

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08032314

ABSTRACT:
A method for providing a more accurate synthetic profiles of temperature, salinity and sound speed of the ocean over an area of interest is provided by using a value of the mixed layer depth in addition to values of surface temperature and surface height in an ocean modeling system such as the Modular Ocean Data Assimilation System (MODAS) system developed for the U.S. Navy. The method of the present invention compares the predicted or observed mixed layer depth for the area of interest, for example, as obtained from remote sensing or upper ocean modeling, to a mixed layer depth estimated from an initial synthetic profile, and determines which is deeper, termed the reference mixed layer depth. The method then derives a modified temperature and salinity synthetic profile by setting the temperature and salinity equal to the surface values at depths less than or equal to the reference mixed layer depth and using an algorithm to estimate temperature and salinity at depths below the reference mixed layer depth.

REFERENCES:
patent: 7345596 (2008-03-01), Wallach et al.
R. Helber et al., “Evaluating the sonic layer depth relative to the mixed layer depth,” J. Geophys. Res., vol. 113, C07033, doi:10.1029/2007JC004595, 2008.
D.N. Fox et al., 2002, “The Modular Ocean Data Assimilation System,” Oceanography, vol. 15, pp. 22-28.
D.N. Fox et al., 2002, “The Modular Ocean Data Assimilation System (MODAS),” J. Atm and Oceanic Tech., vol. 19, pp. 240-252.
Barron et al., Predicting acoustic impact on marine mammals: use of satellite observations and ocean models in globally deriving sound speed profiles for estimates of transmission loss, 2006 Ocean Sciences, Feb. 20-24, 2006, Honolulu, HI.
Barron et al., Impact of assimilating modified synthetic profiles on global ocean sound speed prediction, 88th Annual Meeting of the AMS, 12th conference on IOAS-AOLS, New Orleans, LA, Jan. 24, 2008.
Jain et al. 2007—Estimation of sound speed profiles using artificial neural networks, IEEE Geoscience and Remote Sensing Letters, vol. 3, No. 4, Oct. 2006, pp. 467-470.

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